67 results on '"Michele K. Anderson"'
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2. DL4-μbeads induce T cell lineage differentiation from stem cells in a stromal cell-free system
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Ashton C. Trotman-Grant, Mahmood Mohtashami, Joshua De Sousa Casal, Elisa C. Martinez, Dylan Lee, Sintia Teichman, Patrick M. Brauer, Jianxun Han, Michele K. Anderson, and Juan Carlos Zúñiga-Pflücker
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Science - Abstract
T cells derived from stem cells can be harnessed for regenerative medicine and cancer immunotherapy, but current technologies limit production and translation. Here, the authors present a serum-free, stromal-cell free DLL4-coated microbead method for the scalable production of T-lineage cells from multiple sources of stem cells.
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- 2021
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3. Regulation of the Signal-Dependent E Protein HEBAlt Through a YYY Motif Is Required for Progression Through T Cell Development
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Kogulan Yoganathan, Anqi Yan, Juliana Rocha, Ashton Trotman-Grant, Mahmood Mohtashami, Lisa Wells, Juan Carlos Zúñiga-Pflücker, and Michele K. Anderson
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T cell development ,HEB ,TCF12 ,gene expression ,signal transduction ,Immunologic diseases. Allergy ,RC581-607 - Abstract
The E protein transcription factors E2A and HEB are critical for many developmental processes, including T cell development. We have shown that the Tcf12 locus gives rise to two distinct HEB proteins, with alternative (HEBAlt) and canonical (HEBCan) N-terminal domains, which are co-expressed during early T cell development. While the functional domains of HEBCan have been well studied, the nature of the HEBAlt-specific (Alt) domain has been obscure. Here we provide compelling evidence that the Alt domain provides a site for the molecular integration of cytokine signaling and E protein activity. Our results indicate that phosphorylation of a unique YYY motif in the Alt domain increases HEBAlt activity by 10-fold, and that this increase is dependent on Janus kinase activity. To enable in vivo studies of HEBAlt in the T cell context, we generated ALT-Tg mice, which can be induced to express a HA-tagged HEBAlt coding cassette in the presence of Cre recombinases. Analysis of ALT-Tg mice on the Vav-iCre background revealed a minor change in the ratio of ISP cells to CD8+ SP cells, and a mild shift in the ratio of T cells to B cells in the spleen, but otherwise the thymus, spleen, and bone marrow lymphocyte subsets were comparable at steady state. However, kinetic analysis of T cell development in OP9-DL4 co-cultures revealed a delay in early T cell development and a partial block at the DN to DP transition when HEBAlt levels or activity were increased. We also observed that HEBCan and HEBAlt displayed significant differences in protein stability that were resolved in the thymocyte context. Finally, a proteomic screen identified STAT1 and Xpo1 as potential members of HEBAlt-containing complexes in thymocytes, consistent with JAK-induced activation of HEBAlt accompanied by translocation to the nucleus. Thus, our results show that the Alt domain confers access to multiple layers of post-translational control to HEBAlt that are not available to HEBCan, and thus may serve as a rheostat to tune E protein activity levels as cells move through different thymic signaling environments during T cell development.
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- 2022
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4. Shifting gears: Id3 enables recruitment of E proteins to new targets during T cell development and differentiation
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Michele K. Anderson
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thymus ,T-cell development ,transcription factor ,chromatin ,Id proteins ,E proteins ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Shifting levels of E proteins and Id factors are pivotal in T cell commitment and differentiation, both in the thymus and in the periphery. Id2 and Id3 are two different factors that prevent E proteins from binding to their target gene cis-regulatory sequences and inducing gene expression. Although they use the same mechanism to suppress E protein activity, Id2 and Id3 play very different roles in T cell development and CD4 T cell differentiation. Id2 imposes an irreversible choice in early T cell precursors between innate and adaptive lineages, which can be thought of as a railway switch that directs T cells down one path or another. By contrast, Id3 acts in a transient fashion downstream of extracellular signals such as T cell receptor (TCR) signaling. TCR-dependent Id3 upregulation results in the dislodging of E proteins from their target sites while chromatin remodeling occurs. After the cessation of Id3 expression, E proteins can reassemble in the context of a new genomic landscape and molecular context that allows induction of different E protein target genes. To describe this mode of action, we have developed the “Clutch” model of differentiation. In this model, Id3 upregulation in response to TCR signaling acts as a clutch that stops E protein activity (“clutch in”) long enough to allow shifting of the genomic landscape into a different “gear”, resulting in accessibility to different E protein target genes once Id3 decreases (“clutch out”) and E proteins can form new complexes on the DNA. While TCR signal strength and cytokine signaling play a role in both peripheral and thymic lineage decisions, the remodeling of chromatin and E protein target genes appears to be more heavily influenced by the cytokine milieu in the periphery, whereas the outcome of Id3 activity during T cell development in the thymus appears to depend more on the TCR signal strength. Thus, while the Clutch model applies to both CD4 T cell differentiation and T cell developmental transitions within the thymus, changes in chromatin accessibility are modulated by biased inputs in these different environments. New emerging technologies should enable a better understanding of the molecular events that happen during these transitions, and how they fit into the gene regulatory networks that drive T cell development and differentiation.
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- 2022
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5. Precision Health Resource of Control iPSC Lines for Versatile Multilineage Differentiation
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Matthew R. Hildebrandt, Miriam S. Reuter, Wei Wei, Naeimeh Tayebi, Jiajie Liu, Sazia Sharmin, Jaap Mulder, L. Stephen Lesperance, Patrick M. Brauer, Rebecca S.F. Mok, Caroline Kinnear, Alina Piekna, Asli Romm, Jennifer Howe, Peter Pasceri, Guoliang Meng, Matthew Rozycki, Deivid C. Rodrigues, Elisa C. Martinez, Michael J. Szego, Juan C. Zúñiga-Pflücker, Michele K. Anderson, Steven A. Prescott, Norman D. Rosenblum, Binita M. Kamath, Seema Mital, Stephen W. Scherer, and James Ellis
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Medicine (General) ,R5-920 ,Biology (General) ,QH301-705.5 - Abstract
Summary: Induced pluripotent stem cells (iPSC) derived from healthy individuals are important controls for disease-modeling studies. Here we apply precision health to create a high-quality resource of control iPSCs. Footprint-free lines were reprogrammed from four volunteers of the Personal Genome Project Canada (PGPC). Multilineage-directed differentiation efficiently produced functional cortical neurons, cardiomyocytes and hepatocytes. Pilot users demonstrated versatility by generating kidney organoids, T lymphocytes, and sensory neurons. A frameshift knockout was introduced into MYBPC3 and these cardiomyocytes exhibited the expected hypertrophic phenotype. Whole-genome sequencing-based annotation of PGPC lines revealed on average 20 coding variants. Importantly, nearly all annotated PGPC and HipSci lines harbored at least one pre-existing or acquired variant with cardiac, neurological, or other disease associations. Overall, PGPC lines were efficiently differentiated by multiple users into cells from six tissues for disease modeling, and variant-preferred healthy control lines were identified for specific disease settings. : Ellis, Scherer, and colleagues apply precision health to upgrade iPSC quality for disease modeling. The resource provides control lines from four healthy individuals, clinical annotation of whole-genome variants, and identification of variant-preferred lines for neurologic and cardiac disease. Resource users demonstrated versatile differentiation into functional cells from six tissues, and CRISPR-edited cells phenocopied a cardiomyopathy model. Keywords: Personal Genome Project Canada, control iPSCs, whole-genome sequencing, gene editing, cellular phenotyping, disease modeling
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- 2019
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6. HEB is required for the specification of fetal IL-17-producing γδ T cells
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Tracy S. H. In, Ashton Trotman-Grant, Shawn Fahl, Edward L. Y. Chen, Payam Zarin, Amanda J. Moore, David L. Wiest, Juan Carlos Zúñiga-Pflücker, and Michele K. Anderson
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Science - Abstract
The γδ T cell pool includes abundant IL-17-producing cells that protect mucosal surfaces, but the signals that control γδ T cell specification are unclear. Here the authors identify a role for the transcription factor HEB, and antagonistic activity of Id3, in the development of these cells.
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- 2017
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7. Targeted Disruption of TCF12 Reveals HEB as Essential in Human Mesodermal Specification and Hematopoiesis
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Yang Li, Patrick M. Brauer, Jastaranpreet Singh, Sintia Xhiku, Kogulan Yoganathan, Juan Carlos Zúñiga-Pflücker, and Michele K. Anderson
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human embryonic stem cell ,genome editing ,transcriptional regulation ,HEB ,mesoderm ,hemogenic endothelium ,hematopoiesis ,Runx1 ,Notch1 ,T cell development ,Medicine (General) ,R5-920 ,Biology (General) ,QH301-705.5 - Abstract
Hematopoietic stem cells arise from mesoderm-derived hemogenic endothelium (HE) during embryogenesis in a process termed endothelial-hematopoietic transition (EHT). To better understand the gene networks that control this process, we investigated the role of the transcription factor HEB (TCF12) by disrupting the TCF12 gene locus in human embryonic stem cells (hESCs) and inducing them to differentiate toward hematopoietic outcomes. HEB-deficient hESCs retained key features of pluripotency, including expression of SOX2 and SSEA-4 and teratoma formation, while NANOG expression was reduced. Differentiation of HEB−/− hESCs toward hematopoietic fates revealed a severe defect in mesodermal development accompanied by decreased expression of regulators of mesoendodermal fate choices. We also identified independent defects in HE formation at the molecular and cellular levels, as well as a failure of T cell development. All defects were largely rescued by re-expression of HEB. Taken together, our results identify HEB as a critical regulator of human mesodermal and hematopoietic specification.
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- 2017
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8. Dendritic Cell Development: A Choose-Your-Own-Adventure Story
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Amanda J. Moore and Michele K. Anderson
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Diseases of the blood and blood-forming organs ,RC633-647.5 - Abstract
Dendritic cells (DCs) are essential components of the immune system and contribute to immune responses by activating or tolerizing T cells. DCs comprise a heterogeneous mixture of subsets that are located throughout the body and possess distinct and specialized functions. Although numerous defined precursors from the bone marrow and spleen have been identified, emerging data in the field suggests many alternative routes of DC differentiation from precursors with multilineage potential. Here, we discuss how the combinatorial expression of transcription factors can promote one DC lineage over another as well as the integration of cytokine signaling in this process.
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- 2013
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9. HEB in the Spotlight: Transcriptional Regulation of T-Cell Specification, Commitment, and Developmental Plasticity
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Marsela Braunstein and Michele K. Anderson
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Immunologic diseases. Allergy ,RC581-607 - Abstract
The development of T cells from multipotent progenitors in the thymus occurs by cascades of interactions between signaling molecules and transcription factors, resulting in the loss of alternative lineage potential and the acquisition of the T-cell functional identity. These processes require Notch signaling and the activity of GATA3, TCF1, Bcl11b, and the E-proteins HEB and E2A. We have shown that HEB factors are required to inhibit the thymic NK cell fate and that HEBAlt allows the passage of T-cell precursors from the DN to DP stage but is insufficient for suppression of the NK cell lineage choice. HEB factors are also required to enforce the death of cells that have not rearranged their TCR genes. The synergistic interactions between Notch1, HEBAlt, HEBCan, GATA3, and TCF1 are presented in a gene network model, and the influence of thymic stromal architecture on lineage choice in the thymus is discussed.
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- 2012
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10. Realization of the T Lineage Program Involves GATA-3 Induction of Bcl11b and Repression of Cdkn2b Expression
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Patrycja K. Thompson, Edward L. Y. Chen, Renée F. de Pooter, Catherine Frelin, Walter K. Vogel, Christina R. Lee, Thomas Venables, Divya K. Shah, Norman N. Iscove, Mark Leid, Michele K. Anderson, and Juan Carlos Zúñiga-Pflücker
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T-Lymphocytes ,Tumor Suppressor Proteins ,Immunology ,Cell Differentiation ,GATA3 Transcription Factor ,Article ,Repressor Proteins ,Mice ,Animals ,Immunology and Allergy ,Cell Lineage ,Gene Regulatory Networks ,Cyclin-Dependent Kinase Inhibitor Proteins ,Signal Transduction - Abstract
The zinc-finger transcription factor GATA-3 plays a crucial role during early T cell development and also dictates later T cell differentiation outcomes. However, its role and collaboration with the Notch signaling pathway in the induction of T lineage specification and commitment have not been fully elucidated. We show that GATA-3 deficiency in mouse hematopoietic progenitors results in an early block in T cell development despite the presence of Notch signals, with a failure to upregulate Bcl11b expression, leading to a diversion along a myeloid, but not a B cell, lineage fate. GATA-3 deficiency in the presence of Notch signaling results in the apoptosis of early T lineage cells, as seen with inhibition of CDK4/6 (cyclin-dependent kinases 4 and 6) function, and dysregulated cyclin-dependent kinase inhibitor 2b (Cdkn2b) expression. We also show that GATA-3 induces Bcl11b, and together with Bcl11b represses Cdkn2b expression; however, loss of Cdkn2b failed to rescue the developmental block of GATA-3–deficient T cell progenitor. Our findings provide a signaling and transcriptional network by which the T lineage program in response to Notch signals is realized.
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- 2022
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11. Cutting Edge: TCR-β Selection Is Required at the CD4+CD8+ Stage of Human T Cell Development
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Patrick M. Brauer, Juan Carlos Zúñiga-Pflücker, Yang Li, Michele K. Anderson, Elisa C. Martinez, Ning Yu, Edward L. Y. Chen, and Xiaotian Huang
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T cell ,Immunology ,T-cell receptor ,chemical and pharmacologic phenomena ,hemic and immune systems ,Gene rearrangement ,Biology ,Cell biology ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,RAG2 ,Gene Knockout Techniques ,medicine ,Immunology and Allergy ,Progenitor cell ,Induced pluripotent stem cell ,CD8 ,030215 immunology - Abstract
T cell development is predicated on the successful rearrangement of the TCR gene loci, which encode for Ag-specific receptors. Recombination-activating gene (RAG) 2 is required for TCR gene rearrangements, which occur during specific stages of T cell development. In this study, we differentiated human pluripotent stem cells with a CRISPR/Cas9-directed deletion of the RAG2 gene (RAG2-KO) to elucidate the requirement for the TCR β-chain in mediating β-selection during human T cell development. In stark contrast to mice, human RAG2-KO T lineage progenitors progressed to the CD4+CD8+ double-positive (DP) stage in the absence of TCRβ rearrangements. Nonetheless, RAG2-KO DPs retrovirally transduced to express a rearranged TCR β-chain showed increased survival and proliferation as compared with control-transduced RAG2-KO DPs. Furthermore, transcriptomic analysis showed that TCRβ- and control-transduced RAG2-KO DPs differed in gene pathways related to survival and proliferation. Our results provide important insights as to the distinct requirement for the TCR β-chain during human T cell development.
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- 2021
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12. Direct regulation of TCR rearrangement and expression by E proteins during early T cell development
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Michele K. Anderson and Juliana Dutra Barbosa da Rocha
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Receptors, Antigen, T-Cell, alpha-beta ,Receptors, Antigen, T-Cell, gamma-delta ,Cell Differentiation ,Thymus Gland ,Transcription Factors - Abstract
γδ T cells are widely distributed throughout mucosal and epithelial cell-rich tissues and are an important early source of IL-17 in response to several pathogens. Like αβ T cells, γδ T cells undergo a stepwise process of development in the thymus that requires recombination of genome-encoded segments to assemble mature T cell receptor (TCR) genes. This process is tightly controlled on multiple levels to enable TCR segment assembly while preventing the genomic instability inherent in the double-stranded DNA breaks that occur during this process. Each TCR locus has unique aspects in its structure and requirements, with different types of regulation before and after the αβ/γδ T cell fate choice. It has been known that Runx and Myb are critical transcriptional regulators of TCRγ and TCRδ expression, but the roles of E proteins in TCRγ and TCRδ regulation have been less well explored. Multiple lines of evidence show that E proteins are involved in TCR expression at many different levels, including the regulation of Rag recombinase gene expression and protein stability, induction of germline V segment expression, chromatin remodeling, and restriction of the fetal and adult γδTCR repertoires. Importantly, E proteins interact directly with the cis-regulatory elements of the TCRγ and TCRδ loci, controlling the predisposition of a cell to become an αβ T cell or a γδ T cell, even before the lineage-dictating TCR signaling events. This article is categorized under: Immune System DiseasesStem Cells and Development Immune System DiseasesGenetics/Genomics/Epigenetics.
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- 2022
13. Fetal Thymic Organ Culture (FTOC) Optimized for Gamma-Delta T Cell Studies
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Johanna S. Selvaratnam, Tracy S. H. In, and Michele K. Anderson
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- 2021
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14. Fetal Thymic Organ Culture (FTOC) Optimized for Gamma-Delta T Cell Studies
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Johanna S, Selvaratnam, Tracy S H, In, and Michele K, Anderson
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Mice ,Fetus ,Organ Culture Techniques ,Bone Marrow ,T-Lymphocytes ,Animals ,Deoxyguanosine ,Cell Differentiation ,Thymus Gland - Abstract
Fetal thymic organ culture (FTOC) provides a method for analyzing T cell development in a physiological context outside the animal. This technique enables studies of genetically altered mice that are embryonic or neonatal lethal, in addition to bypassing the complication of migration of successive waves of T cells out of the thymus. The hanging drop method involves depletion of thymocytes from host lobes using deoxyguanosine, followed by reconstitution with hematopoietic progenitors. This method has become standard for analysis of fetal liver precursors, bone marrow precursors, and early thymocytes. However, difficulties are encountered in the analysis of γδ T cell precursors using this method. We have developed a modification of FTOC in which partial depletion of hematopoietic precursors by shortened deoxyguanosine treatment, coupled with the use of TCRδ-deficient host lobes, enables engraftment and development of fetal γδTCR+ thymocytes. This method allows comparisons of development and functional differentiation of γδ T cell precursors between cells of different genotypes or treatments, in the context of a permissive thymic microenvironment.
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- 2021
15. More Than Two to Tango: Mesenchymal Cells Are Required for Early T Cell Development
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Michele K. Anderson
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Immunity, Cellular ,T cell ,T-Lymphocytes ,Immunology ,Mesenchymal stem cell ,Cell Differentiation ,Epithelial Cells ,Mesenchymal Stem Cells ,Thymus Gland ,Biology ,Lymphocyte Activation ,Article ,Cell biology ,medicine.anatomical_structure ,medicine ,Immunology and Allergy ,Animals ,Humans ,Clonal Selection, Antigen-Mediated - Abstract
This Pillars of Immunology article is a commentary on “MHC class II-positive epithelium and mesenchyme cells are both required for T-cell development in the thymus,” a pivotal article written by G. Anderson, E. J. Jenkinson, N. C. Moore, and J. J. Owen, and published in Nature, in 1993 https://www.nature.com/articles/362070a0.
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- 2021
16. DL4-μbeads induce T cell lineage differentiation from stem cells in a stromal cell-free system
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Mahmood Mohtashami, Dylan Lee, Michele K. Anderson, Jianxun Han, Ashton Trotman-Grant, Sintia Teichman, Patrick M. Brauer, Elisa C. Martinez, Juan Carlos Zúñiga-Pflücker, and Joshua De Sousa Casal
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Pluripotent Stem Cells ,Adoptive cell transfer ,Science ,T cell ,Primary Immunodeficiency Diseases ,T-Lymphocytes ,CD34 ,T cells ,Cell- and Tissue-Based Therapy ,General Physics and Astronomy ,Antigens, CD34 ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,Mice ,0302 clinical medicine ,Mice, Inbred NOD ,medicine ,Animals ,Humans ,Cell Lineage ,Progenitor cell ,Induced pluripotent stem cell ,Cells, Cultured ,030304 developmental biology ,Adaptor Proteins, Signal Transducing ,0303 health sciences ,Multidisciplinary ,Lymphopoiesis ,Calcium-Binding Proteins ,Hematopoietic Stem Cell Transplantation ,General Chemistry ,Hematopoietic Stem Cells ,Embryonic stem cell ,3. Good health ,Cell biology ,Mice, Inbred C57BL ,Haematopoiesis ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Stem cell - Abstract
T cells are pivotal effectors of the immune system and can be harnessed as therapeutics for regenerative medicine and cancer immunotherapy. An unmet challenge in the field is the development of a clinically relevant system that is readily scalable to generate large numbers of T-lineage cells from hematopoietic stem/progenitor cells (HSPCs). Here, we report a stromal cell-free, microbead-based approach that supports the efficient in vitro development of both human progenitor T (proT) cells and T-lineage cells from CD34+cells sourced from cord blood, GCSF-mobilized peripheral blood, and pluripotent stem cells (PSCs). DL4-μbeads, along with lymphopoietic cytokines, induce an ordered sequence of differentiation from CD34+ cells to CD34+CD7+CD5+ proT cells to CD3+αβ T cells. Single-cell RNA sequencing of human PSC-derived proT cells reveals a transcriptional profile similar to the earliest thymocytes found in the embryonic and fetal thymus. Furthermore, the adoptive transfer of CD34+CD7+ proT cells into immunodeficient mice demonstrates efficient thymic engraftment and functional maturation of peripheral T cells. DL4-μbeads provide a simple and robust platform to both study human T cell development and facilitate the development of engineered T cell therapies from renewable sources., T cells derived from stem cells can be harnessed for regenerative medicine and cancer immunotherapy, but current technologies limit production and translation. Here, the authors present a serum-free, stromal-cell free DLL4-coated microbead method for the scalable production of T-lineage cells from multiple sources of stem cells.
- Published
- 2021
17. Decision letter: Notch-induced endoplasmic reticulum-associated degradation governs mouse thymocyte β−selection
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David L. Wiest, Juan Carlos Zúñiga-Pflücker, and Michele K. Anderson
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Chemistry ,Mouse Thymocyte ,Endoplasmic-reticulum-associated protein degradation ,Selection (genetic algorithm) ,Cell biology - Published
- 2021
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18. Cutting Edge: TCR-β Selection Is Required at the CD4
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Edward L Y, Chen, Patrick M, Brauer, Elisa C, Martinez, Xiaotian, Huang, Ning, Yu, Michele K, Anderson, Yang, Li, and Juan Carlos, Zúñiga-Pflücker
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CD8 Antigens ,Receptors, Antigen, T-Cell, alpha-beta ,T-Lymphocytes ,Human Embryonic Stem Cells ,Nuclear Proteins ,chemical and pharmacologic phenomena ,hemic and immune systems ,Cell Differentiation ,Mice, SCID ,Lymphocyte Activation ,Article ,Hematopoiesis ,DNA-Binding Proteins ,Gene Knockout Techniques ,Mice ,Mice, Inbred NOD ,Transduction, Genetic ,Cell Line, Tumor ,CD4 Antigens ,Animals ,Humans ,Gene Rearrangement, beta-Chain T-Cell Antigen Receptor - Abstract
T-cell development is predicated on the successful rearrangement of the T-cell receptor (TCR) gene loci, which encode for antigen-specific receptors. Recombination Activating Gene (RAG) 2 is required for TCR gene rearrangements, which occur during specific stages of T-cell development. Here, we differentiated human pluripotent stem cells with a CRISPR/Cas9-directed deletion of the RAG2 gene (RAG2-KO) to elucidate the requirement for the TCRβ chain in mediating β-selection during human T-cell development. In stark contrast to mice, human RAG2-KO T-lineage progenitors progressed to the CD4(+)CD8(+) double-positive (DP) stage in the absence of TCRβ rearrangements. Nonetheless, RAG2-KO DPs retrovirally-transduced to express a rearranged TCRβ chain showed increased survival and proliferation as compared to control-transduced RAG2-KO DPs. Furthermore, transcriptomic analysis showed that TCRβ- and control-transduced RAG2-KO DPs differed in gene pathways related to survival and proliferation. Our results provide new insights as to the distinct requirement for the TCRβ chain during human T-cell development.
- Published
- 2021
19. Interaction between γδTCR signaling and the E protein-Id axis in γδ T cell development
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Michele K. Anderson and Johanna Selvaratnam
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0301 basic medicine ,medicine.medical_treatment ,T cell ,Immunology ,Gene regulatory network ,Context (language use) ,Biology ,03 medical and health sciences ,Chemokine receptor ,Mice ,0302 clinical medicine ,Downregulation and upregulation ,T-Lymphocyte Subsets ,medicine ,Immunology and Allergy ,Animals ,Medulla ,Mice, Knockout ,Receptors, Antigen, T-Cell, gamma-delta ,Cortex (botany) ,Cell biology ,Mice, Inbred C57BL ,030104 developmental biology ,Cytokine ,medicine.anatomical_structure ,030215 immunology ,Signal Transduction - Abstract
γδ T cells acquire their functional properties in the thymus, enabling them to exert rapid innate-like responses. To understand how distinct γδ T cell subsets are generated, we have developed a Two-Stage model for γδ T cell development. This model is predicated on the finding that γδTCR signal strength impacts E protein activity through graded upregulation of Id3. Our model proposes that cells enter Stage 1 in response to a γδTCR signaling event in the cortex that activates a γδ T cell-specific gene network. Part of this program includes the upregulation of chemokine receptors that guide them to the medulla. In the medulla, Stage 1 cells receive distinct combinations of γδTCR, cytokine, and/co-stimulatory signals that induce their transit into Stage 2, either toward the γδT1 or the γδT17 lineage. The intersection between γδTCR and cytokine signals can tune Id3 expression, leading to different outcomes even in the presence of strong γδTCR signals. The thymic signaling niches required for γδT17 development are segregated in time and space, providing transient windows of opportunity during ontogeny. Understanding the regulatory context in which E proteins operate at different stages will be key in defining how their activity levels impose functional outcomes.
- Published
- 2020
20. Defining the extra-thymic role of HEB in the development of CD8+ T stem cell-like immunological memory
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Joanne Leung, Kieran Campbell, and Michele K Anderson
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Immunology ,Immunology and Allergy - Abstract
The transcription factor HEB is involved in multiple stages of intrathymic T cell development, complexing with stage-specific partners to regulate different genes in a context-specific manner. Remarkably, little is known about how HEB influences the differentiation of peripheral T cells, and even less so of how the transcriptional circuitry in early T cell development may be re-invoked to generate long-lasting immunity. While T cells are detected in the periphery of HEB-deficient mice (HEB cKO), the contribution of HEB to the function of T cells upon pathogen encounter is obscure. Thus, HEB cKO mice were challenged with LCMV to determine the impact of HEB in the activation and differentiation of CD8+ T cells into effector and memory lineages. Throughout the course of infection, HEB cKO mice exhibited critical differences in their antigen-specific CD8+ response and had enhanced levels of stem cell-like memory T cells (Tscm). This implicated a role for HEB downstream of T cell activation, which we further confirmed using well-established in vitro cultures supplemented with or without Tscm-inducing cytokines. Consistently, HEB transcripts were detected in publicly available scRNA datasets from P14 transgenic mice infected with LCMV. To greater define the transcriptional pattern of HEB, and of others that orchestrate thymic T cell development in the context of peripheral T cell immunity, we will conduct a scRNA-seq comparative bioinformatic analysis of developing thymocytes to splenic LCMV-specific CD8+ T cells. This will advance our understanding of how early transcriptional cascades, like those initiated by HEB, are propagated in downstream immunological reactions, which may lead to therapies that can revitalize T cell immunity. Supported by a grant from NIH (1P01AI102853-06 ) and the The AAI Intersect Fellowship Program for Computational Scientists and Immunologists
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- 2022
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21. Integration of T‐cell receptor, Notch and cytokine signals programs mouse γδ T‐cell effector differentiation
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Mahmood Mohtashami, Juan Carlos Zúñiga-Pflücker, Edward L. Y. Chen, David L. Wiest, Gladys W. Wong, Michele K. Anderson, Jastaranpreet Singh, Tracy Sh In, and Payam Zarin
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0301 basic medicine ,T‐cell receptor ,Stromal cell ,Notch ,medicine.medical_treatment ,T cell ,T-Lymphocytes ,Immunology ,Biology ,Lymphocyte Activation ,Interferon-gamma ,03 medical and health sciences ,Mice ,0302 clinical medicine ,medicine ,Immunology and Allergy ,Animals ,Progenitor cell ,Receptor ,Mice, Inbred BALB C ,Receptors, Notch ,Effector ,T-cell receptor ,Interleukin-17 ,Cell Differentiation ,Receptors, Antigen, T-Cell, gamma-delta ,Cell Biology ,Original Articles ,Cell biology ,Mice, Inbred C57BL ,030104 developmental biology ,Cytokine ,medicine.anatomical_structure ,Cytokines ,Original Article ,Function (biology) ,Signal Transduction ,030215 immunology - Abstract
γδ T‐cells perform a wide range of tissue‐ and disease‐specific functions that are dependent on the effector cytokines produced by these cells. However, the aggregate signals required for the development of interferon‐γ (IFNγ) and interleukin‐17 (IL‐17) producing γδ T‐cells remain unknown. Here, we define the cues involved in the functional programming of γδ T‐cells, by examining the roles of T‐cell receptor (TCR), Notch, and cytokine‐receptor signaling. KN6 γδTCR‐transduced Rag2 −/− T‐cell progenitors were cultured on stromal cells variably expressing TCR and Notch ligands, supplemented with different cytokines. We found that distinct combinations of these signals are required to program IFNγ versus IL‐17 producing γδ T‐cell subsets, with Notch and weak TCR ligands optimally enabling development of γδ17 cells in the presence of IL‐1β, IL‐21 and IL‐23. Notably, these cytokines were also shown to be required for the intrathymic development of γδ17 cells. Together, this work provides a framework of how signals downstream of TCR, Notch and cytokine receptors integrate to program the effector function of IFNγ and IL‐17 producing γδ T‐cell subsets.
- Published
- 2018
22. Control iPSC lines with clinically annotated genetic variants for versatile multi-lineage differentiation
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Patrick M. Brauer, Jaap Mulder, Juan Carlos Zúñiga-Pflücker, Jennifer L. Howe, Rebecca S.F. Mok, Peter Pasceri, Matthew R. Hildebrandt, Caroline Kinnear, Naeimeh Tayebi, Stephen W. Scherer, Matthew Rozycki, Michael J. Szego, Deivid C. Rodrigues, Asli Romm, Michele K. Anderson, Lee Stephen Lesperance, Guoliang Meng, Alina Piekna, James Ellis, Steven A. Prescott, Jiajie Liu, Elisa C. Martinez, Binita M. Kamath, Seema Mital, Sazia Sharmin, Wei Wei, Miriam S. Reuter, and Norman D. Rosenblum
- Subjects
Whole genome sequencing ,0303 health sciences ,Cell type ,Lineage differentiation ,Disease ,Computational biology ,Biology ,Phenotype ,Frameshift mutation ,03 medical and health sciences ,0302 clinical medicine ,Directed differentiation ,Induced pluripotent stem cell ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
SummaryInduced Pluripotent Stem Cells (iPSC) derived from healthy individuals are important controls for disease modeling studies. To create a resource of genetically annotated iPSCs, we reprogrammed footprint-free lines from four volunteers in the Personal Genome Project Canada (PGPC). Multilineage directed differentiation efficiently produced functional cortical neurons, cardiomyocytes and hepatocytes. Pilot users further demonstrated line versatility by generating kidney organoids, T-lymphocytes and sensory neurons. A frameshift knockout was introduced into MYBPC3 and these cardiomyocytes exhibited the expected hypertrophic phenotype. Whole genome sequencing (WGS) based annotation of PGPC lines revealed on average 20 coding variants. Importantly, nearly all annotated PGPC and HipSci lines harboured at least one pre-existing or acquired variant with cardiac, neurological or other disease associations. Overall, PGPC lines were efficiently differentiated by multiple users into cell types found in six tissues for disease modeling, and clinical annotation highlighted variant-preferred lines for use as unaffected controls in specific disease settings.
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- 2019
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23. Ontogenic timing, T cell receptor signal strength, and Notch signaling direct γδ T cell functional differentiation in vivo
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Juan Carlos Zúñiga-Pflücker, David L. Wiest, Christina R. Lee, Patrycja K. Thompson, Michele K. Anderson, and Edward L. Y. Chen
- Subjects
0301 basic medicine ,T cell ,Receptors, Antigen, T-Cell ,Notch signaling pathway ,Biology ,Article ,General Biochemistry, Genetics and Molecular Biology ,Transcriptome ,Interferon-gamma ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,Immunity ,In vivo ,medicine ,Animals ,Humans ,Receptor ,Receptors, Notch ,T-cell receptor ,Cell Differentiation ,Cell biology ,030104 developmental biology ,medicine.anatomical_structure ,030217 neurology & neurosurgery ,Signal Transduction - Abstract
SUMMARY γδ T cells form an integral arm of the immune system and are critical during protective and destructive immunity. However, how γδ T cells are functionally programmed in vivo remains unclear. Here, we employ RBPJ-inducible and KN6-transgenic mice to assess the roles of ontogenic timing, T cell receptor (TCR) signal strength, and Notch signaling. We find skewing of Vγ1+ cells toward the PLZF+Lin28b+ lineage at the fetal stage. Generation of interleukin-17 (IL-17)-producing γδ T cells is favored during, although not exclusive to, the fetal stage. Surprisingly, Notch signaling is dispensable for peripheral γδ T cell IL-17 production. Strong TCR signals, together with Notch, promote IL-4 differentiation. Conversely, less strong TCR signals promote Notch-independent IL-17 differentiation. Single-cell transcriptomic analysis reveals differential programming instilled by TCR signal strength and Notch for specific subsets. Thus, our results precisely define the roles of ontogenic timing, TCR signal strength, and Notch signaling in γδ T cell functional programming in vivo., In brief Ontogeny and TCR signal strength are known to influence γδ T cell differentiation. Chen et al. show that temporal control of Notch signaling in RBPJ-inducible mice affects innate γδ T cell differentiation. TCR signal strength and Notch influence IL-4 versus IL-17 γδ T cell programming, which correlate with low versus high Ccr9 expression, respectively., Graphical Abstract
- Published
- 2021
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24. Differential regulatory mechanisms underlie the control of Vγ4 and Vγ6 γδT17 development by HEB transcription factors
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Michele K Anderson, Johanna Selvaratnam, and Alison Wong
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Immunology ,Immunology and Allergy - Abstract
IL-17-producing γδ T-cells (γδT17) are critical components of the innate immune system, but the pathways that control their development are not well understood. We have previously shown that HEB transcription factors operate upstream of Sox4 and Sox13 to initiate the γδT17 program. However, the defects in fetal Vγ4+ γδT17 cells appear to be distinct from those in the Vγ6+ γδT17 cells. In the absence of HEB, fetal Vγ4+ γδT17 cells are unable to develop, whereas Vγ6+ γδT17 cells develop but are not able to produce IL-17. To further understand the molecular mechanisms that underlie these defects, we performed single cell RNA-seq on E18.5 γδTCR+ cells from WT and HEB-deficient mice, and did differential gene expression analysis on clusters expressing Vγ5, Vγ6, or Vγ4 mRNA. Our analysis revealed that in addition to Sox4 and Sox13, an entire suite of genes associated with the development and function of γδT17 cells was downregulated in HEB-deficient cells. Furthermore, Vδ4, which is normally restricted to cells expressing Vγ6 or Vγ5, was expressed at high levels in nearly all clusters, whereas the levels of Vγ4 and Vδ5 mRNA were severely decreased. These results suggest that direct control of Vγ and Vδ chain mRNA expression underlie the defect in Vγ4+ cell development, whereas Vγ6+ cells require a direct input from HEB into the gene program controlling γδT17 differentiation even in the presence of proper γδTCR pairing.
- Published
- 2020
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25. Modulation of Id3 induces a fetal-specific HEB-dependent gamma delta T cell developmental pathway in the adult mouse thymus
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Johanna Samantha Selvaratnam and Michele K Anderson
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Immunology ,Immunology and Allergy - Abstract
Gamma delta T cells (γδ T cells) are key players in tissue barrier homeostasis and immunity. Understanding the molecular mechanisms by which γδ T cells are programmed to develop into the γδT17 lineage is essential to develop strategies for controlling IL-17 activity during pathogenic conditions. Previously we showed that the E protein transcription factor HEB is an essential regulator of the γδT17 lineage, and that the generation of fetal γδT17 cells occurs through a HEB-dependent fetal-restricted pathway that does not involve upregulation of CD73 (Pathway 2). Id3, an antagonist of E proteins, inhibits key regulators of γδT17 development. Therefore, we hypothesized that the loss of Id3 would enhance γδT17 development. We characterized adult Id3-RFP knock-in mice, and found that the Id3−/− recapitulated the previously established expansion of Vγ1+ γδ T cells. However, the adult Id3+/− thymus showed a re-emergence of Pathway 2, suggesting that reduced Id3 levels promotes the fetal HEB-dependent γδT17 program. Moreover, there was an increase in Vγ1-Vγ4- γδ T cells, which suggests the appearance of Vγ6+ cells that are normally restricted to the fetal thymus. Interestingly, Vγ4+ cells and Vγ1-Vγ4-cells in Id3+/− mice displayed Pathway 2 profiles, while Vγ1+ cells exhibited the normal adult thymic developmental profile leading to mature CD73+ γδ T cells in both Id3+/− and Id3−/− mice. Future studies will examine whether reduced HEB in the Id3+/− mice inhibits Pathway 2 in the adult thymus, and obtain more definitive evidence as to whether the Id3+/− γδ T cells in the adult thymus develop toward the IL-17 fate. In conclusion, our studies indicate that the balance between E proteins and Id3 regulates the developmental programming pathway of γδ T cells.
- Published
- 2019
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26. A key role for IL-7R in the generation of microenvironments required for thymic dendritic cells
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Ashton Trotman-Grant, Juan Carlos Zúñiga-Pflücker, Cynthia J. Guidos, Tracy S. H. In, Michele K. Anderson, Kogulan Yoganathan, Amanda J. Moore, and Bertrand Montpellier
- Subjects
0301 basic medicine ,Chemokine ,Receptors, CCR7 ,Cellular differentiation ,T-Lymphocytes ,Immunology ,Cell ,C-C chemokine receptor type 7 ,Thymus Gland ,03 medical and health sciences ,Mice ,0302 clinical medicine ,medicine ,Immunology and Allergy ,Animals ,Progenitor cell ,Receptor ,Cells, Cultured ,Mice, Knockout ,Receptors, Interleukin-7 ,biology ,hemic and immune systems ,Cell Differentiation ,Epithelial Cells ,Cell Biology ,Dendritic Cells ,Chemokine CXCL12 ,Cell biology ,Mice, Inbred C57BL ,030104 developmental biology ,medicine.anatomical_structure ,Cellular Microenvironment ,Chemokines, CC ,biology.protein ,Original Article ,Bone marrow ,CCL25 ,030215 immunology - Abstract
Interleukin-7 receptor (IL-7R) signaling is critical for multiple stages of T-cell development, but a role in the establishment of the mature thymic architecture needed for T-cell development and thymocyte selection has not been established. Crosstalk signals between developing thymocytes and thymic epithelial cell (TEC) precursors are critical for their differentiation into cortical TECs (cTECs) and medullary TECs (mTECs). In addition, mTEC-derived factors have been implicated in the recruitment of thymic dendritic cells (DCs) and intrathymic DC development. We therefore examined corticomedullary structure and DC populations in the thymus of Il7r-/- mice. Analysis of TEC phenotype and spatial organization revealed a striking shift in the mTEC to cTEC ratio, accompanied by disorganized corticomedullary structure. Several of the thymic subsets known to have DC potential were nearly absent, accompanied by reductions in DC cell numbers. We also examined chemokine expression in the Il7r-/- thymus, and found a significant decrease in mTEC-derived CCR7 ligand expression, and high levels of cTEC-derived chemokines, including CCL25 and CXCL12. Although splenic DCs were similarly affected, bone marrow (BM) precursors capable of giving rise to DCs were unperturbed. Finally, BM chimeras showed that there was no intrinsic need for IL-7R signaling in the development or recruitment of thymic DCs, but that the provision of wild-type progenitors enhanced reconstitution of thymic DCs from Il7r-/- progenitors. Our results are therefore supportive of a model in which Il7r-dependent cells are required to set up the microenvironments that allow accumulation of thymic DCs.
- Published
- 2016
27. A conserved alternative form of the purple sea urchin HEB/E2-2/E2A transcription factor mediates a switch in E-protein regulatory state in differentiating immune cells
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Michele K. Anderson, Catherine S. Schrankel, Katherine M. Buckley, Cynthia M. Solek, and Jonathan P. Rast
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0301 basic medicine ,Gene isoform ,Population ,Biology ,03 medical and health sciences ,Basic Helix-Loop-Helix Transcription Factors ,Animals ,Protein Isoforms ,education ,Molecular Biology ,Transcription factor ,Gene ,Strongylocentrotus purpuratus ,Conserved Sequence ,Genetics ,education.field_of_study ,Stem Cells ,Alternative splicing ,Gene Expression Regulation, Developmental ,Cell Biology ,TCF4 ,Exons ,Blastula ,biology.organism_classification ,030104 developmental biology ,TCF3 ,Leukopoiesis ,Developmental Biology - Abstract
E-proteins are basic helix-loop-helix (bHLH) transcription factors with essential roles in animal development. In mammals, these are encoded by three loci: E2-2 (ITF-2/ME2/SEF2/TCF4), E2A (TCF3), and HEB (ME1/REB/TCF12). The HEB and E2-2 paralogs are expressed as alternative (Alt) isoforms with distinct N-terminal sequences encoded by unique exons under separate regulatory control. Expression of these alternative transcripts is restricted relative to the longer (Can) forms, suggesting distinct regulatory roles, although the functions of the Alt proteins remain poorly understood. Here, we characterize the single sea urchin E-protein ortholog (SpE-protein). The organization of the SpE-protein gene closely resembles that of the extended HEB/E2-2 vertebrate loci, including a transcript that initiates at a homologous alternative transcription start site (SpE-Alt). The existence of an Alt form in the sea urchin indicates that this feature predates the emergence of the vertebrates. We present additional evidence indicating that this transcript was present in the common bilaterian ancestor. In contrast to the widely expressed canonical form (SpE-Can), SpE-Alt expression is tightly restricted. SpE-Alt is expressed in two phases: first in aboral non-skeletogenic mesenchyme (NSM) cells and then in oral NSM cells preceding their differentiation and ingression into the blastocoel. Derivatives of these cells mediate immune response in the larval stage. Inhibition of SpE-Alt activity interferes with these events. Notably, although the two isoforms are initially co-expressed, as these cells differentiate, SpE-Can is excluded from the SpE-Alt(+) cell population. This mutually exclusive expression is dependent on SpE-Alt function, which reveals a previously undescribed negative regulatory linkage between the two E-protein forms. Collectively, these findings reorient our understanding of the evolution of this transcription factor family and highlight fundamental properties of E-protein biology.
- Published
- 2016
28. HEBAlt enhances the T-cell potential of fetal myeloid-biased precursors
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Carol L. Claus, Paula Rajkumar, Marsela Braunstein, Amanda J. Moore, Duncheng Wang, Michele K. Anderson, and Giovanna Vaccarelli
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Myeloid ,T-Lymphocytes ,T cell ,Immunology ,Population ,Biology ,Ikaros Transcription Factor ,Mice ,Fetus ,Basic Helix-Loop-Helix Transcription Factors ,medicine ,Animals ,Antigens, Ly ,Immunology and Allergy ,Cell Lineage ,Receptor, Notch1 ,education ,Transcription factor ,Myeloid Progenitor Cells ,Precursor Cells, T-Lymphoid ,education.field_of_study ,Membrane Proteins ,Cell Differentiation ,General Medicine ,T lymphocyte ,Hematopoiesis ,Up-Regulation ,Cell biology ,Proto-Oncogene Proteins c-kit ,Haematopoiesis ,medicine.anatomical_structure ,Liver ,Signal transduction - Abstract
Hematopoiesis is controlled by the interplay between transcription factors and environmental signals. One of the primary determinants of the T-lineage choice is Delta-like (DL)-Notch signaling, which promotes T-cell development and inhibits B-cell development. We have found that the transcription factor HEBAlt is up-regulated in early hematopoietic precursors in response to DL-Notch signaling and that it can promote early T-cell development. Here, we identified a population of lineage-negative Sca-1 2 c-kit 1 (LK) cells in the mouse fetal liver that rapidly gave rise to myeloid cells and B cells but exhibited very little T-cell potential. However, forced expression of HEBAlt in these precursors restored their ability to develop into T cells. We also showed that Ikaros and Notch1 are up-regulated in response to HEBAlt over-expression and that activated Notch1 enhances the ability of LK cells to enter the T-cell lineage. Furthermore, the myeloid transcription factor C/EBPa is down-regulated in response to HEBAlt. We therefore propose that HEBAlt plays a role in the network that enforces the T-lineage fate and limits myeloid fate during hematopoiesis.
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- 2010
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29. Context-Dependent Regulation of Hematopoietic Lineage Choice by HEBAlt
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Carol L. Claus, Amanda J. Moore, Marsela Braunstein, Michele K. Anderson, Mikael Sigvardsson, Duncheng Wang, and Paula Rajkumar
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Myeloid ,T-Lymphocytes ,PAX5 Transcription Factor ,T cell ,Transcription Factor 7-Like 1 Protein ,Immunology ,Gene Expression ,Priming (immunology) ,Biology ,Mice ,hemic and lymphatic diseases ,Basic Helix-Loop-Helix Transcription Factors ,medicine ,Animals ,Protein Isoforms ,Immunology and Allergy ,Cell Lineage ,Progenitor cell ,Transcription factor ,B cell ,Genetics ,B-Lymphocytes ,Reverse Transcriptase Polymerase Chain Reaction ,Lymphopoiesis ,Cell Differentiation ,Hematopoietic Stem Cells ,Cell biology ,Mice, Inbred C57BL ,Haematopoiesis ,medicine.anatomical_structure ,Gene Expression Regulation ,TCF Transcription Factors ,Signal Transduction - Abstract
Hematopoietic development is controlled by combinatorial interactions between E-protein transcription factors and other lineage regulators that operate in the context of gene-regulatory networks. The E-proteins HEB and E2A are critical for T cell and B cell development, but the mechanisms by which their activities are directed to different genes in each lineage are unclear. We found that a short form of HEB, HEBAlt, acts downstream of Delta-like (DL)-Notch signaling to promote T cell development. In this paper, we show that forced expression of HEBAlt in mouse hematopoietic progenitors inhibited B cell development, but it allowed them to adopt a myeloid fate. HEBAlt interfered with the activity of E2A homodimers and with the expression of the transcription factor Pax5, both of which are critical for B cell development. However, when combined with DL-Notch signaling, HEBAlt enhanced the generation of T cell progenitors at the expense of myeloid cells. The longer form of HEB, HEBCan, also inhibited E47 activity and Pax5 expression, but it did not collaborate with DL-Notch signaling to suppress myeloid potential. Therefore, HEBAlt can suppress B cell or myeloid potential in a context-specific manner, which suggests a role for this factor in maintaining T lineage priming prior to commitment.
- Published
- 2010
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30. Transcriptional and Microenvironmental Regulation of γδ T Cell Development
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Michele K. Anderson and Tracy Sh In
- Subjects
Interleukin 21 ,Immune system ,medicine.anatomical_structure ,ZAP70 ,T cell ,Immunology ,T-cell receptor ,medicine ,Cytotoxic T cell ,IL-2 receptor ,Biology ,Interleukin 3 ,Cell biology - Abstract
γδ T cells form an integral part of the immune system of various lymphoid and mucosal tissues in mice and humans. Recently, it has become apparent that unlike αβ T cell receptor (TCR)-bearing T cells, these innate-like lymphocytes undergo functional programming during their development in the fetal and adult thymus. Distributed throughout the body, γδ T cells act as first responders to various environmental and pathogenic perturbations. Therefore, understanding the development and functional programming of these γδ T cells has broad implications on health and disease. Here, we review a complex network of molecular mechanisms that govern the cellular processes involved in γδ T cell development and concurrent installation of IFNγ and IL-17 effector programs, including TCR signaling strength, genetic and epigenetic programs, E protein activity, and various microenvironmental factors.
- Published
- 2016
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31. The Basic Helix-Loop-Helix Transcription Factor HEBAlt Is Expressed in Pro-T Cells and Enhances the Generation of T Cell Precursors
- Author
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Michele K. Anderson, Giovanna Vaccarelli, Carol L. Claus, Duncheng Wang, Juan Carlos Zúñiga-Pflücker, Marsela Braunstein, Thomas M. Schmitt, and Ellen V. Rothenberg
- Subjects
T cell ,Molecular Sequence Data ,Immunology ,E-box ,Mice, SCID ,Thymus Gland ,Biology ,Evolution, Molecular ,Mice ,Transactivation ,T-Lymphocyte Subsets ,Basic Helix-Loop-Helix Transcription Factors ,medicine ,Animals ,Protein Isoforms ,Immunology and Allergy ,Amino Acid Sequence ,Transcription factor ,Conserved Sequence ,Mice, Knockout ,Regulation of gene expression ,Basic helix-loop-helix ,Basic Helix-Loop-Helix Leucine Zipper Transcription Factors ,Stem Cells ,Cell Differentiation ,DNA-binding domain ,Molecular biology ,Peptide Fragments ,Protein Structure, Tertiary ,Mice, Inbred C57BL ,Thymocyte ,medicine.anatomical_structure - Abstract
The basic helix-loop-helix (bHLH) transcription factors HEB and E2A are critical mediators of gene regulation during lymphocyte development. We have cloned a new transcription factor, called HEBAlt, from a pro-T cell cDNA library. HEBAlt is generated by alternative transcriptional initiation and splicing from the HEB gene locus, which also encodes the previously characterized E box protein HEBCan. HEBAlt contains a unique N-terminal coding exon (the Alt domain) that replaces the first transactivation domain of HEBCan. Downstream of the Alt domain, HEBAlt is identical to HEBCan, including the DNA binding domain. HEBAlt is induced in early thymocyte precursors and down-regulated permanently at the double negative to double positive (DP) transition, whereas HEBCan mRNA expression peaks at the DP stage of thymocyte development. HEBAlt mRNA is up-regulated synergistically by a combination of HEBCan activity and Delta-Notch signaling. Retroviral transduction of HEBAlt or HEBCan into hemopoietic stem cells followed by OP9-DL1 coculture revealed that HEBAlt-transduced precursors generated more early T lineage precursors and more DP pre-T cells than control transduced cells. By contrast, HEBCan-transduced cells that maintained high level expression of the HEBCan transgene were inhibited in expansion and progression through T cell development. HEB−/− fetal liver precursors transduced with HEBAlt were rescued from delayed T cell specification, but HEBCan-transduced HEB−/− precursors were not. Therefore, HEBAlt and HEBCan are functionally distinct transcription factors, and HEBAlt is specifically required for the efficient generation of early T cell precursors.
- Published
- 2006
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32. At the crossroads: diverse roles of early thymocyte transcriptional regulators
- Author
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Michele K. Anderson
- Subjects
Transcription, Genetic ,Receptors, Antigen, T-Cell, alpha-beta ,T-Lymphocytes ,Cellular differentiation ,Immunology ,Thymus Gland ,Biology ,Mice ,Proto-Oncogene Proteins ,Transcriptional regulation ,Recombinase ,Animals ,Humans ,Immunology and Allergy ,Gene Silencing ,Gene Rearrangement, beta-Chain T-Cell Antigen Receptor ,Transcription factor ,Genetics ,Regulation of gene expression ,Lymphopoiesis ,Gene Expression Regulation, Developmental ,Gene rearrangement ,Hematopoietic Stem Cells ,Thymocyte ,Regulatory sequence ,Trans-Activators ,Interleukin-2 ,Transcription Factors - Abstract
Transcriptional regulation of T-cell development involves successive interactions between complexes of transcriptional regulators and their binding sites within the regulatory regions of each gene. The regulatory modules that control expression of T-lineage genes frequently include binding sites for a core set of regulators that set the T-cell-specific background for signal-dependent control, including GATA-3, Notch/CSL, c-myb, TCF-1, Ikaros, HEB/E2A, Ets, and Runx factors. Additional regulators in early thymocytes include PU.1, Id-2, SCL, Spi-B, Erg, Gfi-1, and Gli. Many of these factors are involved in simultaneous regulation of non-T-lineage genes, T-lineage genes, and genes involved in cell cycle control, apoptosis, or survival. Potential and known interactions between early thymic transcription factors such as GATA-3, SCL, PU.1, Erg, and Spi-B are explored. Regulatory modules involved in the expression of several critical T-lineage genes are described, and models are presented for shifting occupancy of the DNA-binding sites in the regulatory modules of pre-Talpha, T-cell receptor beta (TCRbeta), recombinase activating genes 1 and 2 (Rag-1/2), and CD4 during T-cell development. Finally, evidence is presented that c-kit, Erg, Hes-1, and HEBAlt are expressed differently in Rag-2(-/-) thymocytes versus normal early thymocytes, which provide insight into potential regulatory interactions that occur during normal T-cell development.
- Published
- 2006
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33. Subversion of T lineage commitment by PU.1 in a clonal cell line system
- Author
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Ellen V. Rothenberg, Christopher J. Dionne, Christopher B. Franco, Kevin Y. Tse, Michele K. Anderson, Angela H. Weiss, and David L. Wiest
- Subjects
Time Factors ,MAP Kinase Signaling System ,T-Lymphocytes ,Gene regulatory network ,Mice, Transgenic ,Mice, SCID ,Thymus Gland ,Biology ,Models, Biological ,Cell Line ,Mice ,Transduction (genetics) ,Cell Line, Tumor ,Proto-Oncogene Proteins ,Animals ,Cell Lineage ,Myeloid Cells ,Transgenes ,Cloning, Molecular ,Molecular Biology ,Transcription factor ,Protein Kinase C ,Cell Proliferation ,Genetics ,Reverse Transcriptase Polymerase Chain Reaction ,Wild type ,Gene Expression Regulation, Developmental ,Receptors, Interleukin-2 ,Cell Biology ,Flow Cytometry ,Hematopoietic Stem Cells ,Phenotype ,Protein Structure, Tertiary ,Mice, Inbred C57BL ,Thymocyte ,Retroviridae ,Microscopy, Fluorescence ,Cell culture ,Trans-Activators ,Developmental plasticity ,human activities ,Developmental Biology - Abstract
Specification of mammalian T lymphocytes involves prolonged developmental plasticity even after lineage-specific gene expression begins. Expression of transcription factor PU.1 may maintain some myeloid-like developmental alternatives until commitment. Commitment could reflect PU.1 shutoff, resistance to PU.1 effects, and/or imposition of a suicide penalty for diversion. Here, we describe subclones from the SCID.adh murine thymic lymphoma, adh.2C2 and adh.6D4, that represent a new tool for probing these mechanisms. PU.1 can induce many adh.2C2 cells to undergo diversion to a myeloid-like phenotype, in an all-or-none fashion with multiple, coordinate gene expression changes; adh.6D4 cells resist diversion, and most die. Diversion depends on the PU.1 Ets domain but not on known interactions in the PEST or Q-rich domains, although the Q-rich domain enhances diversion frequency. Protein kinase C/MAP kinase stimulation can make adh.6D4 cells permissive for diversion without protecting from suicide. These results show distinct roles for regulated cell death and another stimulation-sensitive function that establishes a threshold for diversion competence. PU.1 also diverts normal T-cell precursors from wild type or Bcl2-transgenic mice to a myeloid-like phenotype, upon transduction in short-term culture. The adh.2C2 and adh.6D4 clones thus provide an accessible system for defining mechanisms controlling developmental plasticity in early T-cell development.
- Published
- 2005
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34. Evolutionary Origins of Lymphocytes: Ensembles of T Cell and B Cell Transcriptional Regulators in a Cartilaginous Fish
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Rashmi Pant, Carl A. Luer, Gary W. Litman, Ellen V. Rothenberg, Xiao Sun, Michele K. Anderson, Catherine J. Walsh, Ann L. Miracle, and Janice C. Telfer
- Subjects
Lineage (genetic) ,T-Lymphocytes ,Cellular differentiation ,T cell ,Molecular Sequence Data ,Immunology ,B-cell receptor ,GATA3 Transcription Factor ,Evolution, Molecular ,Mice ,medicine ,Animals ,Immunology and Allergy ,Amino Acid Sequence ,Skates, Fish ,Conserved Sequence ,B cell ,Genetics ,Regulation of gene expression ,B-Lymphocytes ,Clearnose skate ,biology ,T-cell receptor ,PAX5 Transcription Factor ,Gene Expression Regulation, Developmental ,Cell Differentiation ,biology.organism_classification ,Hematopoiesis ,DNA-Binding Proteins ,Mice, Inbred C57BL ,Core Binding Factor Alpha 3 Subunit ,medicine.anatomical_structure ,Organ Specificity ,Multigene Family ,Trans-Activators ,Sequence Alignment ,Transcription Factors - Abstract
The evolutionary origins of lymphocytes can be traced by phylogenetic comparisons of key features. Homologs of rearranging TCR and Ig (B cell receptor) genes are present in jawed vertebrates, but have not been identified in other animal groups. In contrast, most of the transcription factors that are essential for the development of mammalian T and B lymphocytes belong to multigene families that are represented by members in the majority of the metazoans, providing a potential bridge to prevertebrate ancestral roles. This work investigates the structure and regulation of homologs of specific transcription factors known to regulate mammalian T and B cell development in a representative of the earliest diverging jawed vertebrates, the clearnose skate (Raja eglanteria). Skate orthologs of mammalian GATA-3, GATA-1, EBF-1, Pax-5, Pax-6, Runx2, and Runx3 have been characterized. GATA-3, Pax-5, Runx3, EBF-1, Spi-C, and most members of the Ikaros family are shown throughout ontogeny to be 1) coregulated with TCR or Ig expression, and 2) coexpressed with each other in combinations that for the most part correspond to known mouse T and B cell patterns, supporting conservation of function. These results indicate that multiple components of the gene regulatory networks that operate in mammalian T cell and B cell development were present in the common ancestor of the mammals and the cartilaginous fish. However, certain factors relevant to the B lineage differ in their tissue-specific expression patterns from their mouse counterparts, suggesting expanded or divergent B lineage characteristics or tissue specificity in these animals.
- Published
- 2004
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35. Localization of the Domains in Runx Transcription Factors Required for the Repression of CD4 in Thymocytes
- Author
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Janice C. Telfer, Ellen V. Rothenberg, Emmett E. Hedblom, Micheline N. Laurent, and Michele K. Anderson
- Subjects
CD4-Positive T-Lymphocytes ,Molecular Sequence Data ,Immunology ,Down-Regulation ,Mice, Transgenic ,Thymus Gland ,CD8-Positive T-Lymphocytes ,Biology ,Mice ,chemistry.chemical_compound ,Fetus ,Organ Culture Techniques ,Proto-Oncogene Proteins ,hemic and lymphatic diseases ,Animals ,Protein Isoforms ,Immunology and Allergy ,Nuclear Matrix ,Amino Acid Sequence ,Psychological repression ,Transcription factor ,Sequence Deletion ,Genetics ,Runt ,Cell Differentiation ,Nuclear matrix ,Silencer ,Growth Inhibitors ,Peptide Fragments ,Protein Structure, Tertiary ,Cell biology ,DNA-Binding Proteins ,Mice, Inbred C57BL ,Repressor Proteins ,Core Binding Factor Alpha 3 Subunit ,RUNX1 ,chemistry ,Mice, Inbred DBA ,CD4 Antigens ,Core Binding Factor Alpha 2 Subunit ,Spleen ,CD8 ,Transcription Factors - Abstract
The runt family transcription factors Runx1 and Runx3 are expressed in developing murine thymocytes. We show that enforced expression of full-length Runx1 in CD4−CD8− thymocytes results in a profound suppression of immature CD4/CD8 double-positive thymocytes and mature CD4 single-positive thymocytes compared with controls. This effect arises from Runx1- or Runx3-mediated repression of CD4 expression, and is independent of positively selecting signals. Runx1 is able to repress CD4 in CD4/CD8 double-positive thymocytes, but not in mature splenic T cells. Runx-mediated CD4 repression is independent of association with the corepressors Groucho/TLE or Sin3. Two domains are required for complete Runx-mediated CD4 repression. These are contained within Runx1 aa 212–262 and 263–360. The latter region contains the nuclear matrix targeting sequence, which is highly conserved among runt family transcription factors across species. The presence of the nuclear matrix targeting sequence is required for Runx-mediated CD4 repression, suggesting that Runx transcription factors are stabilized on the CD4 silencer via association with the nuclear matrix.
- Published
- 2004
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36. Changing course by lymphocyte lineage redirection
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Michele K. Anderson
- Subjects
Interleukin 21 ,ZAP70 ,Immunology ,Antigen presentation ,Immunology and Allergy ,Cytotoxic T cell ,IL-2 receptor ,Biology ,Natural killer T cell ,Antigen-presenting cell ,Interleukin 3 - Abstract
The fate of T cells differentiating into the CD4 or CD8 lineage is typically fixed when cells leave the thymus. However, CD4+ helper T cells can be reprogrammed to develop into CD4+CD8α+ cytotoxic T lymphocytes in the gut.
- Published
- 2013
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37. Gamma delta T-cell differentiation and effector function programming, TCR signal strength, when and how much?
- Author
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Michele K. Anderson, Juan Carlos Zúñiga-Pflücker, Payam Zarin, Tracy Seunghyun In, and Edward L. Y. Chen
- Subjects
Lineage (genetic) ,Gamma-delta T cell differentiation ,Effector ,Repertoire ,Receptors, Antigen, T-Cell, alpha-beta ,Immunology ,T-cell receptor ,Interleukin-17 ,Cell Differentiation ,Receptors, Antigen, T-Cell, gamma-delta ,Biology ,Hematopoietic Stem Cells ,Lymphocyte Activation ,Haematopoiesis ,T-Lymphocyte Subsets ,Humans ,Cell Lineage ,Progenitor cell ,Neuroscience ,Function (biology) ,Signal Transduction - Abstract
γδ T-cells boast an impressive functional repertoire that can paint them as either champions or villains depending on the environmental and immunological cues. Understanding the function of the various effector γδ subsets necessitates tracing the developmental program of these subsets, including the point of lineage bifurcation from αβ T-cells. Here, we review the importance of signals from the T-cell receptor (TCR) in determining αβ versus γδ lineage fate, and further discuss how the molecular components of this pathway may influence the developmental programming of γδ T-cells functional subsets. Additionally, we discuss the role of temporal windows in restricting the development of IL-17 producing γδ T-cell subtypes, and explore whether fetal and adult hematopoietic progenitors maintain the same potential for giving rise to this important subset.
- Published
- 2015
38. Universal rules of immunity
- Author
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Jonathan P. Rast and Michele K. Anderson
- Subjects
Knowledge management ,Immunity ,business.industry ,Immunology ,MEDLINE ,Immunology and Allergy ,Cell Biology ,Biology ,business ,Adaptation (computer science) - Published
- 2009
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39. Transcriptional regulation of lymphocyte lineage commitment
- Author
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Ellen V. Rothenberg, Michele K. Anderson, and Janice C. Telfer
- Subjects
Genetics ,Haematopoiesis ,General transcription factor ,Gene expression ,Response element ,Transcriptional regulation ,E-box ,Biology ,Gene ,Transcription factor ,General Biochemistry, Genetics and Molecular Biology - Abstract
The development of T cells and B cells from pluripotent hematopoietic precursors occurs through a stepwise narrowing of developmental potential that ends in lineage commitment. During this process, lineage-specific genes are activated asynchronously, and lineage-inappropriate genes, although initially expressed, are asynchronously turned off. These complex gene expression events are the outcome of the changes in expression of multiple transcription factors with partially overlapping roles in early lymphocyte and myeloid cell development. Key transcription factors promoting B-cell development and candidates for this role in T-cell development are discussed in terms of their possible modes of action in fate determination. We discuss how a robust, stable, cell-type–specific gene expression pattern may be established in part by the interplay between endogenous transcription factors and signals transduced by cytokine receptors, and in part by the network of effects of particular transcription factors on each other.
- Published
- 1999
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40. A long form of the skate IgX gene exhibits a striking resemblance to the new shark IgW and IgNARC genes
- Author
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Carl A. Luer, Gary W. Litman, Scott J. Strong, Ronda T. Litman, Chris T. Amemiya, Jonathan P. Rast, and Michele K. Anderson
- Subjects
DNA, Complementary ,Transcription, Genetic ,Molecular Sequence Data ,Immunology ,Locus (genetics) ,Evolution, Molecular ,Species Specificity ,Molecular evolution ,Sequence Homology, Nucleic Acid ,Genetics ,Animals ,Amino Acid Sequence ,Skates, Fish ,Skate ,Gene ,Phylogeny ,Mammals ,Clearnose skate ,Base Sequence ,Genes, Immunoglobulin ,biology ,Phylogenetic tree ,Alternative splicing ,Fishes ,Nucleic acid sequence ,biology.organism_classification ,Immunoglobulin Isotypes ,Sharks ,Immunoglobulin Heavy Chains ,Sequence Alignment ,Antibody Diversity - Abstract
Differential screening has been used to identify cDNAs encoding a long form of IgX in Raja eglanteria (clearnose skate). Comparisons of the IgX long form with the previously described short-form IgX cDNAs and the genomic IgX locus indicate that the V and two 5′C regions of the short and long forms of IgX are >90% identical at the nucleotide level. Differences between the V sequences of the long- and short-form IgX genes are concentrated in complementarity determining regions, suggesting that these forms are derived through alternative splicing of the same genomic loci or transcription of highly related loci. The extreme conservation of nucleotide sequence, including third position codons, among different cDNAs as well as the near identity of nucleotide sequence in the intervening sequences of germline IgX, IgX short-form sterile transcripts and IgX long-form sterile transcripts indicate that the multiple IgX loci are recently diverged from one another and/or are under intense gene correction. Phylogenetic analyses of the known cartilaginous fish immunoglobulin loci demonstrate that the long form of IgX is orthologous to IgW/IgNARC (NARC) and is most consistent with: 1) the divergence of the IgX/IgW/NARC and IgM-like loci from a common ancestral locus prior to the divergence of the cartilaginous/bony fish lineages and 2) the divergence of the NAR locus from the IgX/IgW/NARC gene(s) after the cartilaginous/bony fish split but prior to the shark/skate split, approximately 220 million years ago.
- Published
- 1999
- Full Text
- View/download PDF
41. α, β, γ, and δ T Cell Antigen Receptor Genes Arose Early in Vertebrate Phylogeny
- Author
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Michele K. Anderson, Scott J. Strong, Gary W. Litman, Carl A. Luer, Jonathan P. Rast, and Ronda T. Litman
- Subjects
Genetics ,0303 health sciences ,Clearnose skate ,cDNA library ,T cell ,Immunology ,T-cell receptor ,Gene rearrangement ,Biology ,biology.organism_classification ,Molecular biology ,03 medical and health sciences ,0302 clinical medicine ,Infectious Diseases ,medicine.anatomical_structure ,Antigen ,Complementary DNA ,medicine ,Immunology and Allergy ,Gene ,030304 developmental biology ,030215 immunology - Abstract
A series of products were amplified using a PCR strategy based on short minimally degenerate primers and R. eglanteria (clearnose skate) spleen cDNA as template. These products were used as probes to select corresponding cDNAs from a spleen cDNA library. The cDNA sequences exhibit significant identity with prototypic (alpha, beta, gamma, and delta T cell antigen receptor (TCR) genes. Characterization of cDNAs reveals extensive variable region diversity, putative diversity segments, and varying degrees of junctional diversification. This demonstrates expression of both alpha/beta and gamma/delta TCR genes at an early level of vertebrate phylogeny and indicates that the three major known classes of rearranging antigen receptors were present in the common ancestor of the present-day jawed vertebrates.
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- 1997
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42. Generation of immunoglobulin light chain gene diversity in Raja erinacea is not associated with somatic rearrangement, an exception to a central paradigm of B cell immunity
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Michele K. Anderson, Michael J. Shamblott, Ronda T. Litman, and Gary W. Litman
- Subjects
DNA, Complementary ,Molecular Sequence Data ,Immunology ,B-Lymphocyte Subsets ,Immunoglobulin Variable Region ,Sequence alignment ,Biology ,Immunoglobulin light chain ,Polymerase Chain Reaction ,Animals ,Gene Rearrangement, B-Lymphocyte, Light Chain ,Immunology and Allergy ,Genomic library ,Amino Acid Sequence ,Skates, Fish ,Gene ,Phylogeny ,Gene Library ,Genetics ,Base Sequence ,Genes, Immunoglobulin ,Sequence Homology, Amino Acid ,Antibody Diversity ,Articles ,Gene rearrangement ,Junctional diversity ,Immunoglobulin J-Chains ,Immunoglobulin J Chain ,Sequence Alignment - Abstract
In all vertebrate species examined to date, rearrangement and somatic modification of gene segmental elements that encode portions of the antigen-combining sites of immunoglobulins are integral components of the generation of antibody diversity. In the phylogenetically primitive cartilaginous fishes, gene segments encoding immunoglobulin heavy and light chain loci are arranged in multiple clusters, in which segmental elements are separated by only 300-400 bp. In some cases, segmental elements are joined in the germline of nonlymphoid cells (joined genes). Both genomic library screening and direct amplification of genomic DNA have been used to characterize at least 89 different type I light chain gene clusters in the skate, Raja. Analyses of predicted nucleotide sequences and predicted peptide structures are consistent with the distribution of genes into different sequence groups. Predicted amino acid sequence differences are preferentially distributed in complementarity-determining versus framework regions, and replacement-type substitutions exceed neutral substitutions. When specific germline sequences are related to the sequences of individual cDNAs, it is apparent that the joined genes are expressed and are potentially somatically mutated. No evidence was found for the presence of any type I light chain gene in Raja that is not germline joined. The type I light chain gene clusters in Raja appear to represent a novel gene system in which combinatorial and junctional diversity are absent.
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- 1995
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43. HEB plays a critical role in the generation of IL-17 producing Vγ2+ γδ T cells
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Tracy In, Ashton Trotman-Grant, and Michele K Anderson
- Subjects
Immunology ,Immunology and Allergy - Abstract
IL-17 producing Vγ2+ γδ T cells (Vγ2 T cells) form an integral part of the immune system of various lymphoid and mucosal tissues in mice. The γδ T cells acquire the ability to produce IL-17 during their thymic development but the molecular basis of this programming is not well understood. Here, we aim to characterized the role of HEB in the development of IL-17 producing Vγ2 T cells by utilizing HEB conditional knockout mice on a vav-Cre background (HEB conKO). First, we observed that there was a block in the development of Vγ2 T cells in the fetal thymic organ culture (FTOC) from HEB conKO embryos at E14. However, in contrast to the near absence of fetal thymic Vγ2 T cells in FTOC, neonatal thymus of HEB conKO mice supported the development of Vγ2 T cells, albeit at a significantly lower frequency than the wildtype thymus. Further, the frequency of Vγ2 T cells in the thymus of adult mice was the equivalent to that in the wildtype thymus, showing a gradual increase in the development of Vγ2 T cells in the HEB conKO thymus with age. As IL-17 producing γδ T cells have been shown to be generated preferentially during fetal development, we characterized the functional subsets of Vγ2 T cells found in adult HEB conKO mice. In fact, there was a significant reduction in the frequency of RORγt+ Vγ2+ T cells in the thymus of adult HEB conKO mice, as well as in the lungs, spleen and lymph nodes. Furthermore, the HEB-deficient Vγ2 T cells in the lungs, spleen and lymph nodes exhibited a profound deficiency in their ability to produce IL-17 in response to stimulation with IL-1β, IL-23 and IL-21 or PMA/Ionomycin. Collectively, our work shows for the first time that HEB is required for the generation of IL-17 producing Vγ2 T cells for various lymphoid and mucosal tissues.
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- 2016
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44. HEB-deficient T-cell precursors lose T-cell potential and adopt an alternative pathway of differentiation
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Michele K. Anderson and Marsela Braunstein
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T cell ,Cellular differentiation ,CD1 ,GATA3 Transcription Factor ,Biology ,Mice ,medicine ,Basic Helix-Loop-Helix Transcription Factors ,Animals ,Cell Lineage ,IL-2 receptor ,Receptor, Notch1 ,Molecular Biology ,Cells, Cultured ,Interleukin 3 ,Inhibitor of Differentiation Protein 2 ,Precursor Cells, T-Lymphoid ,CD40 ,Tumor Suppressor Proteins ,Cell Differentiation ,Cell Biology ,Articles ,Natural killer T cell ,Molecular biology ,Cell biology ,Mice, Inbred C57BL ,Repressor Proteins ,medicine.anatomical_structure ,Interleukin 12 ,biology.protein - Abstract
Early thymocytes possess multilineage potential, which is progressively restricted as cells transit through the double-negative stages of T-cell development. DN1 cells retain the ability to become natural killer cells, dendritic cells, B cells, and myeloid cells as well as T cells, but these options are lost by the DN3 stage. The Notch1 signaling pathway is indispensable for initiation of the T-cell lineage and inhibitory for the B-cell lineage, but the regulatory mechanisms by which the T-cell fate is locked in are largely undefined. Previously, we discovered that the E-protein transcription factor HEBAlt promoted T-cell specification. Here, we report that HEB(-/-) T-cell precursors have compromised Notch1 function and lose T-cell potential. Moreover, reconstituting HEB(-/-) precursors with Notch1 activity enforced fidelity to the T-cell fate. However, instead of becoming B cells, HEB(-/-) DN3 cells adopted a DN1-like phenotype and could be induced to differentiate into thymic NK cells. HEB(-/-) DN1-like cells retained GATA3 and Id2 expression but had lower levels of the Bcl11b gene, a Notch target gene. Therefore, our studies have revealed a new set of interactions between HEB, Notch1, and GATA3 that regulate the T-cell fate choice in developing thymocytes.
- Published
- 2010
45. Developmental progression of fetal HEB(-/-) precursors to the pre-T-cell stage is restored by HEBAlt
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Michele K. Anderson and Marsela Braunstein
- Subjects
Stromal cell ,CD3 Complex ,T cell ,Transgene ,Immunology ,Receptors, Antigen, T-Cell ,Biology ,Mice ,Fetus ,Downregulation and upregulation ,medicine ,Basic Helix-Loop-Helix Transcription Factors ,Immunology and Allergy ,Animals ,Protein Isoforms ,Transcription factor ,Gene knockout ,Homeodomain Proteins ,Mice, Knockout ,Precursor Cells, T-Lymphoid ,Cell biology ,Thymocyte ,medicine.anatomical_structure ,Gene Knockdown Techniques ,CD8 ,Signal Transduction - Abstract
Gene knockout studies have shown that the E-protein transcription factor HEB is required for normal thymocyte development. We have identified a unique form of HEB, called HEBAlt, which is expressed only during the early stages of T-cell development, whereas HEBCan is expressed throughout T-cell development. Here, we show that HEB(-/-) precursors are inhibited at the β-selection checkpoint of T-cell development due to impaired expression of pTα and function of CD3e, both of which are necessary for pre-TCR signaling. Transgenic expression of HEBAlt in HEB(-/-) precursors, however, upregulated pTα and allowed development to CD4(+) CD8(+) stage in fetal thymocytes. Moreover, HEBAlt did overcome the CD3e signaling defect in HEB(-/-) Rag-1(-/-) thymocytes. The HEBAlt transgene did not permit Rag-1(-/-) precursors to bypass β-selection, indicating that it was not acting as a dominant negative inhibitor of other E-proteins. Therefore, our results provide the first mechanistic evidence that HEBAlt plays a critical role in early T-cell development and show that it can collaborate with fetal thymic stromal elements to create a regulatory environment that supports T-cell development past the β-selection checkpoint.
- Published
- 2010
46. The Genome of the Sea Urchin Strongylocentrotus purpuratus
- Author
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Amro Hamdoun, Virginia Brockton, Huyen Dinh, Qiang Tu, Richard O. Hynes, Maria Ina Arnone, Wratko Hlavina, L. Courtney Smith, Mariano A. Loza, David R. Burgess, Matthew P. Hoffman, Florian Raible, Qiu Autumn Yuan, Geoffrey Okwuonu, Mark Y. Tong, Jennifer Hume, Donna Maglott, Manisha Goel, Olivier Fedrigo, Manuel L. Gonzalez-Garay, Celina E. Juliano, Judith Hernandez, Gary M. Wessel, William F. Marzluff, Audrey J. Majeske, Christian Gache, Louise Duloquin, Xingzhi Song, François Lapraz, Fowler J, Alexandre Souvorov, Jared V. Goldstone, Georgia Panopoulou, Sandra Hines, Kyle M. Judkins, Clay Davis, Christine G. Elsik, Paul Kitts, Mariano Loza-Coll, Greg Wray, Taku Hibino, Eric Röttinger, Allison M. Churcher, Annamaria Locascio, Arcady Mushegian, Masashi Kinukawa, Anna Reade, Katherine M. Buckley, I. R. Gibbons, Bert Gold, Aleksandar Milosavljevic, David Epel, Victor D. Vacquier, Ling Ling Pu, Vincenzo Cavalieri, Erin L. Allgood, Lan Zhang, Lynne V. Nazareth, Constantin N. Flytzanis, Ian Bosdet, Yi-Hsien Su, Zeev Pancer, Matthew L. Rowe, Robert C. Angerer, David R. McClay, William H. Klein, Rachel F. Gray, Julian L. Wong, Shunsuke Yaguchi, Robert Bellé, Aaron J. Mackey, Herath Jayantha Gunaratne, Karl Frederik Bergeron, Bruce P. Brandhorst, Greg Murray, Avis H. Cohen, Stephanie Bell, Kristin Tessmar-Raible, Ian K. Townley, Bertrand Cosson, Thomas D. Glenn, Jongmin Nam, Cynthia A. Bradham, Michael Dean, Joseph Chacko, Anthony J. Robertson, Margherita Branno, Valeria Matranga, K. James Durbin, Esther Miranda, Lili Chen, Eran Elhaik, Robert D. Burke, Rita A. Wright, Paola Oliveri, Sandra L. Lee, Gary W. Moy, Alexander E Primus, Shawn S. McCafferty, Cristina Calestani, David A. Garfield, Erica Sodergren, Karen Wilson, Joel Smith, Marco A. Marra, Cynthia Messier, Julia Morales, Kim D. Pruitt, Rachel Thorn, Rachel Gill, John S. Taylor, Mark E. Hahn, Victor Sapojnikov, Meredith Howard-Ashby, Lynne M. Angerer, Maurice R. Elphick, Kathy R. Foltz, Anne Marie Genevière, Justin T. Reese, Blanca E. Galindo, Kim C. Worley, Andrew Leone, Glen Humphrey, Kevin Berney, Olga Ermolaeva, George Miner, David P. Terwilliger, Elly Suk Hen Chow, Lora Lewis, Dan Graur, C. Titus Brown, Gerard Manning, Kevin J. Peterson, Angela Jolivet, Michele K. Anderson, Francesca Rizzo, Ekaterina Voronina, Thierry Lepage, Giorgio Matassi, Antonio Fernandez-Guerra, Mamoru Nomura, Charles A. Whittaker, James R.R. Whittle, James A. Coffman, George M. Weinstock, Mohammed M. Idris, Ashlan M. Musante, Sebastian D. Fugmann, Katherine D. Walton, Sorin Istrail, Shu-Yu Wu, Cerrissa Hamilton, Jonah Cool, Jacqueline E. Schein, Stacey M. Curry, Athula Wikramanayke, Seth Carbonneau, Blair J. Rossetti, Christopher E. Killian, Melissa J. Landrum, Amanda P. Rawson, Jenifer C. Croce, Ryan C. Range, Rahul Satija, John J. Stegeman, Yufeng Shen, Cavit Agca, Terry Gaasterland, Rocky Cheung, Takae Kiyama, Nikki Adams, Jonathan P. Rast, Robert Piotr Olinski, Andrew Cree, Mark Scally, Shuguang Liang, David A. Parker, Rebecca Thomason, Gretchen E. Hofmann, Michelle M. Roux, Ronghui Xu, Robert A. Obar, Enrique Arboleda, Odile Mulner-Lorillon, Shannon Dugan-Rocha, David J. Bottjer, Gabriele Amore, Manoj P. Samanta, Waraporn Tongprasit, Véronique Duboc, La Ronda Jackson, Fred H. Wilt, Viktor Stolc, Anna T. Neill, Michael Raisch, Pei Yun Lee, Jia L. Song, Margaret Morgan, Brian T. Livingston, Sofia Hussain, Zheng Wei, Bryan J. Cole, Tonya F. Severson, Victor V. Solovyev, Finn Hallböök, Donna M. Muzny, Christine A. Byrum, Albert J. Poustka, Xiuqian Mu, Andrew R. Jackson, Shin Heesun, Euan R. Brown, Nansheng Chen, Patrick Cormier, Ralph Haygood, Pedro Martinez, R. Andrew Cameron, D. Wang, Wendy S. Beane, Eric H. Davidson, Christie Kovar, Hemant Kelkar, Charles A. Ettensohn, Sham V. Nair, Robert L. Morris, Stefan C. Materna, Michael C. Thorndyke, Richard A. Gibbs, Dan O Mellott, Department of Physiology and Biophysics, Stony Brook University [The State University of New York] ( SBU ), Astronomy Unit ( AU ), Queen Mary University of London ( QMUL ), Urban and Industrial Air Quality Group, CSIRO Energy Technology, Commonwealth Scientific and Industrial Research Organisation Energy Technology ( CSIRO Energy Technology ), Commonwealth Scientific and Industrial Research Organisation, Center for Polymer Studies ( CPS ), Boston University [Boston] ( BU ), Physics Department [Boston] ( BU-Physics ), Max Planck Institute for Psycholinguistics, Max-Planck-Institut, Department of Biology [Norton], Wheaton College [Norton], Mathematical Institute [Oxford] ( MI ), University of Oxford [Oxford], Centre for the Analysis of Time Series ( CATS ), London School of Economics and Political Science ( LSE ), Thomas Jefferson National Accelerator Facility ( Jefferson Lab ), Thomas Jefferson National Accelerator Facility, Laboratoire d'Energétique et de Mécanique Théorique Appliquée ( LEMTA ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Evolution, Génomes et Spéciation ( LEGS ), Centre National de la Recherche Scientifique ( CNRS ), Department of Geology, University of Illinois at Urbana-Champaign [Urbana], Department of Electrical and Computer Engineering [Portland] ( ECE ), Portland State University [Portland] ( PSU ), Saint-Gobain Crystals [USA], SAINT-GOBAIN, Institute for Animal Health ( IAH ), Biotechnology and Biological Sciences Research Council, Center for Agricultural Resources Research, Chinese Academy of Sciences [Changchun Branch] ( CAS ), Ipsen Inc. [Milford] ( Ipsen ), IPSEN, Department of Physics [Berkeley], University of California [Berkeley], Institute for Climate and Atmospheric Science [Leeds] ( ICAS ), University of Leeds, Chung-Ang University ( CAU ), Chung-Ang University [Seoul], Antarctic Climate and Ecosystems Cooperative Research Center ( ACE-CRC ), Institute of Aerodynamics and Fluid Mechanics ( AER ), Technische Universität München [München] ( TUM ), Mer et santé ( MS ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Centre National de la Recherche Scientifique ( CNRS ), Imperial College London, Radio and Atmospheric Sciences Division, National Physical Laboratory [Teddington] ( NPL ), International Research Institute for Climate and Society ( IRI ), Earth Institute at Columbia University, Columbia University [New York]-Columbia University [New York], Soils Group, The Macaulay Institute, Department of Haematology, University of Cambridge [UK] ( CAM ), School of Biology and Biochemistry, Queen's University, Leslie Hill Institute for Plant Conservation ( PCU ), University of Cape Town, Institute for Microelectronics and Microsystems/ Istituto per la Microelettronica e Microsistemi ( IMM ), Consiglio Nazionale delle Ricerche ( CNR ), Laboratoire d'acoustique de l'université du Mans ( LAUM ), Le Mans Université ( UM ) -Centre National de la Recherche Scientifique ( CNRS ), Interactive Systems Labs ( ISL ), Carnegie Mellon University [Pittsburgh] ( CMU ), Dalian Institute of Chemical Physics ( DICP ), Architectures, Languages and Compilers to Harness the End of Moore Years ( ALCHEMY ), Laboratoire de Recherche en Informatique ( LRI ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ) -Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ) -Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique ( Inria ), Clean Air Task Force ( CATF ), Clean Air Task Force, Space Physics Laboratory, Indian Space Research Organisation ( ISRO ), Centre d'études et de recherches appliquées à la gestion ( CERAG ), Université Pierre Mendès France - Grenoble 2 ( UPMF ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Microbiology and Immunology, College of Medicine and Health Sciences-Sultan Qaboos University, European Molecular Biology Laboratory [Heidelberg] ( EMBL ), Department of Biostatistics, University of Michigan [Ann Arbor], Department of Radiation Oncology [Michigan] ( Radonc ), Department of Physics and Astronomy [Leicester], University of Leicester, Informatique, Biologie Intégrative et Systèmes Complexes ( IBISC ), Université d'Évry-Val-d'Essonne ( UEVE ) -Centre National de la Recherche Scientifique ( CNRS ), Institut für Meteorologie und Klimaforschung ( IMK ), Karlsruher Institut für Technologie ( KIT ), Physics Department [UNB], University of New Brunswick ( UNB ), Laboratoire Parole et Langage ( LPL ), Centre National de la Recherche Scientifique ( CNRS ) -Aix Marseille Université ( AMU ), Institut des Sciences Chimiques de Rennes ( ISCR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Ecole Nationale Supérieure de Chimie de Rennes-Institut National des Sciences Appliquées ( INSA ) -Centre National de la Recherche Scientifique ( CNRS ), Biogéosciences [Dijon] ( BGS ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Bioprojet, Laboratoire de Matériaux à Porosité Contrôlée ( LMPC ), Université de Haute-Alsace (UHA) Mulhouse - Colmar ( Université de Haute-Alsace (UHA) ) -Ecole Nationale Supérieure de Chimie de Mulhouse-Centre National de la Recherche Scientifique ( CNRS ), School of Information Engineering [USTB] ( SIE ), University of Science and Technology Beijing [Beijing] ( USTB ), Laboratory for Atmospheric and Space Physics [Boulder] ( LASP ), University of Colorado Boulder [Boulder], Department of Applied Mathematics [Sheffield], University of Sheffield [Sheffield], School of Mathematics and Statistics [Sheffield] ( SoMaS ), Laboratoire de Mécanique de Lille - FRE 3723 ( LML ), Université de Lille, Sciences et Technologies-Ecole Centrale de Lille-Centre National de la Recherche Scientifique ( CNRS ), Computer Science Department [UCLA] ( CSD ), University of California at Los Angeles [Los Angeles] ( UCLA ), Développement et évolution ( DE ), Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Biologie du Développement de Villefranche sur mer ( LBDV ), Laboratoire Pierre Aigrain ( LPA ), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris ( FRDPENS ), Centre National de la Recherche Scientifique ( CNRS ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ) -École normale supérieure - Paris ( ENS Paris ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Mathematics and Statistics [Mac Gill], McGill University, Departamento de Botánica [Comahue], Universidad nacional del Comahue, Bioénergétique Cellulaire et Pathologique ( BECP ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Environnements et Paléoenvironnements OCéaniques ( EPOC ), Observatoire aquitain des sciences de l'univers ( OASU ), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -École pratique des hautes études ( EPHE ) -Centre National de la Recherche Scientifique ( CNRS ), Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratori Nazionali del Sud ( LNS ), National Institute for Nuclear Physics ( INFN ), Departament de Matemàtiques [Barcelona], Universitat Autònoma de Barcelona [Barcelona] ( UAB ), Max-Planck-Institut für Kohlenforschung (coal research), Institute of Oceanology [CAS] ( IOCAS ), National Chiao Tung University ( NCTU ), Department of Hydrology and Water Resources ( HWR ), University of Arizona, Centre for Educational Technology, Environment Department [York], University of York [York, UK], State Key Laboratory of Nuclear Physics and Technology ( SKL-NPT ), Peking University [Beijing], Department of Physics and Astronomy [Iowa City], University of Iowa [Iowa], NASA Ames Research Center ( ARC ), Department of Materials, Digital Language & Knowledge Contents Research Association ( DICORA ), Hankuk University of Foreign Studies, Department of Physics [Coventry], University of Warwick [Coventry], Space Science and Technology Department [Didcot] ( RAL Space ), STFC Rutherford Appleton Laboratory ( RAL ), Science and Technology Facilities Council ( STFC ) -Science and Technology Facilities Council ( STFC ), Institut de biologie et chimie des protéines [Lyon] ( IBCP ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), H M Nautical Almanac Office [RAL] ( HMNAO ), Rutherford Appleton Laboratory, United Kingdom Met Office [Exeter], University College of London [London] ( UCL ), Department of Pathology and Laboratory Medicine [UCLA], University of California at Los Angeles [Los Angeles] ( UCLA ) -School of Medicine, School of Earth and Environmental Sciences [Seoul] ( SEES ), Seoul National University [Seoul], Department of Chemistry, Seoul Women's University, MicroMachines Centre ( MMC ), Nanyang Technological University [Singapour], Regroupement Québécois sur les Matériaux de Pointe ( RQMP ), École Polytechnique de Montréal ( EPM ) -Université de Sherbrooke [Sherbrooke]-McGill University-Université de Montréal-Fonds Québécois de Recherche sur la Nature et les Technologies ( FQRNT ), Département de Physique [Montréal], Université de Montréal, School of Earth and Environment [Leeds] ( SEE ), Centre for Ecology and Hydrology ( CEH ), Natural Environment Research Council ( NERC ), Norwegian Institute for Water Research ( NIVA ), Norwegian Institute for Water Research, Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY), Astronomy Unit [London] (AU), Queen Mary University of London (QMUL), Commonwealth Scientific and Industrial Research Organisation Energy Technology (CSIRO Energy Technology), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Department of Biochemistry and Molecular Biology [Houston], The University of Texas Medical School at Houston, Mathematical Institute [Oxford] (MI), University of Oxford, Centre for the Analysis of Time Series (CATS), London School of Economics and Political Science (LSE), Thomas Jefferson National Accelerator Facility (Jefferson Lab), Laboratoire Énergies et Mécanique Théorique et Appliquée (LEMTA ), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Evolution, Génomes et Spéciation (LEGS), Centre National de la Recherche Scientifique (CNRS), University of Illinois System-University of Illinois System, Department of Electrical and Computer Engineering [Portland] (ECE), Portland State University [Portland] (PSU), Saint-Gobain, Institute for Animal Health (IAH), Biotechnology and Biological Sciences Research Council (BBSRC), Chinese Academy of Sciences [Changchun Branch] (CAS), Ipsen Inc. [Milford] (Ipsen), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Institute for Climate and Atmospheric Science [Leeds] (ICAS), School of Earth and Environment [Leeds] (SEE), University of Leeds-University of Leeds, Chung-Ang University (CAU), Antarctic Climate and Ecosystems Cooperative Research Centre (ACE-CRC), Institute of Aerodynamics and Fluid Mechanics (AER), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Mer et santé (MS), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), National Physical Laboratory [Teddington] (NPL), International Research Institute for Climate and Society (IRI), Macaulay Institute, University of Cambridge [UK] (CAM), Queen's University [Kingston, Canada], Leslie Hill Institute for Plant Conservation (PCU), Istituto per la Microelettronica e Microsistemi [Catania] (IMM), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Laboratoire d'Acoustique de l'Université du Mans (LAUM), Le Mans Université (UM)-Centre National de la Recherche Scientifique (CNRS), Interactive Systems Labs (ISL), Carnegie Mellon University [Pittsburgh] (CMU), Dalian Institute of Chemical Physics (DICP), Architectures, Languages and Compilers to Harness the End of Moore Years (ALCHEMY), Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Clean Air Task Force (CATF), Indian Space Research Organisation (ISRO), Centre d'études et de recherches appliquées à la gestion (CERAG), Université Pierre Mendès France - Grenoble 2 (UPMF)-Centre National de la Recherche Scientifique (CNRS), Sultan Qaboos University (SQU)-College of Medicine and Health Sciences [Baylor], Baylor University-Baylor University, European Molecular Biology Laboratory [Heidelberg] (EMBL), University of Michigan System-University of Michigan System, Department of Radiation Oncology [Michigan] (Radonc), Informatique, Biologie Intégrative et Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Institute for Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), University of New Brunswick (UNB), Laboratoire Parole et Langage (LPL), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institut des Sciences Chimiques de Rennes (ISCR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Biogéosciences [UMR 6282] (BGS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Matériaux à Porosité Contrôlée (LMPC), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS), School of Information Engineering [USTB] (SIE), University of Science and Technology Beijing [Beijing] (USTB), Laboratory for Atmospheric and Space Physics [Boulder] (LASP), University of Colorado [Boulder], School of Mathematics and Statistics [Sheffield] (SoMaS), Laboratoire de Mécanique de Lille - FRE 3723 (LML), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Computer Science Department [UCLA] (CSD), University of California [Los Angeles] (UCLA), Développement et évolution (DE), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Biologie du Développement de Villefranche sur mer (LBDV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Pierre Aigrain (LPA), Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Mathematics and Statistics [Montréal], McGill University = Université McGill [Montréal, Canada], Departamento de Botánica [Bariloche], Centro Regional Universitario Bariloche [Bariloche] (CRUB), Universidad Nacional del Comahue [Neuquén] (UNCOMA)-Universidad Nacional del Comahue [Neuquén] (UNCOMA), Bioénergétique Cellulaire et Pathologique (BECP), Université Joseph Fourier - Grenoble 1 (UJF)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Environnements et Paléoenvironnements OCéaniques (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratori Nazionali del Sud (LNS), Istituto Nazionale di Fisica Nucleare (INFN), Departament de Matemàtiques [Barcelona] (UAB), Universitat Autònoma de Barcelona (UAB), Max-Planck-Institut für Kohlenforschung (Coal Research), Max-Planck-Gesellschaft, CAS Institute of Oceanology (IOCAS), Chinese Academy of Sciences [Beijing] (CAS), National Chiao Tung University (NCTU), Department of Hydrology and Water Resources (HWR), State Key Laboratory of Nuclear Physics and Technology (SKL-NPT), University of Iowa [Iowa City], NASA Ames Research Center (ARC), Digital Language & Knowledge Contents Research Association (DICORA), Space Science and Technology Department [Didcot] (RAL Space), STFC Rutherford Appleton Laboratory (RAL), Science and Technology Facilities Council (STFC)-Science and Technology Facilities Council (STFC), Institut de biologie et chimie des protéines [Lyon] (IBCP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), H M Nautical Almanac Office [RAL] (HMNAO), University College of London [London] (UCL), University of California (UC)-University of California (UC)-School of Medicine, School of Earth and Environmental Sciences [Seoul] (SEES), Seoul National University [Seoul] (SNU), MicroMachines Centre (MMC), Regroupement Québécois sur les Matériaux de Pointe (RQMP), École Polytechnique de Montréal (EPM)-Université de Sherbrooke (UdeS)-McGill University = Université McGill [Montréal, Canada]-Université de Montréal (UdeM)-Fonds Québécois de Recherche sur la Nature et les Technologies (FQRNT), Université de Montréal (UdeM), Centre for Ecology and Hydrology (CEH), Natural Environment Research Council (NERC), Norwegian Institute for Water Research (NIVA), SEA URCHIN GENOME SEQUENCING CONSORTIUM, SODERGREN E, WEINSTOCK GM, DAVIDSON EH, CAMERON RA, GIBBS RA, ANGERER RC, ANGERER LM, ARNONE MI, BURGESS DR, BURKE RD, COFFMAN JA, DEAN M, ELPHICK MR, ETTENSOHN CA, FOLTZ KR, HAMDOUN A, HYNES RO, KLEIN WH, MARZLUFF W, MCCLAY DR, MORRIS RL, MUSHEGIAN A, RAST JP, SMITH LC, THORNDYKE MC, VACQUIER VD, WESSEL GM, WRAY G, ZHANG L, ELSIK CG, ERMOLAEVA O, HLAVINA W, HOFMANN G, KITTS P, LANDRUM MJ, MACKEY AJ, MAGLOTT D, PANOPOULOU G, POUSTKA AJ, PRUITT K, SAPOJNIKOV V, SONG X, SOUVOROV A, SOLOVYEV V, WEI Z, WHITTAKER CA, WORLEY K, DURBIN KJ, SHEN Y, FEDRIGO O, GARFIELD D, HAYGOOD R, PRIMUS A, SATIJA R, SEVERSON T, GONZALEZ-GARAY ML, JACKSON AR, MILOSAVLJEVIC A, TONG M, KILLIAN CE, LIVINGSTON BT, WILT FH, ADAMS N, BELLE R, CARBONNEAU S, CHEUNG R, CORMIER P, COSSON B, CROCE J, FERNANDEZ-GUERRA A, GENEVIERE AM, GOEL M, KELKAR H, MORALES J, MULNER-LORILLON O, ROBERTSON AJ, GOLDSTONE JV, COLE B, EPEL D, GOLD B, HAHN ME, HOWARD-ASHBY M, SCALLY M, STEGEMAN JJ, ALLGOOD EL, COOL J, JUDKINS KM, MCCAFFERTY SS, MUSANTE AM, OBAR RA, RAWSON AP, ROSSETTI BJ, GIBBONS IR, HOFFMAN MP, LEONE A, ISTRAIL S, MATERNA SC, SAMANTA MP, STOLC V, TONGPRASIT W, TU Q, BERGERON KF, BRANDHORST BP, WHITTLE J, BERNEY K, BOTTJER DJ, CALESTANI C, PETERSON K, CHOW E, YUAN QA, ELHAIK E, GRAUR D, REESE JT, BOSDET I, HEESUN S, MARRA MA, SCHEIN J, ANDERSON MK, BROCKTON V, BUCKLEY KM, COHEN AH, FUGMANN SD, HIBINO T, LOZA-COLL M, MAJESKE AJ, MESSIER C, NAIR SV, PANCER Z, TERWILLIGER DP, AGCA C, ARBOLEDA E, CHEN N, CHURCHER AM, HALLBOOK F, HUMPHREY GW, IDRIS MM, KIYAMA T, LIANG S, MELLOTT D, MU X, MURRAY G, OLINSKI RP, RAIBLE F, ROWE M, TAYLOR JS, TESSMAR-RAIBLE K, WANG D, WILSON KH, YAGUCHI S, GAASTERLAND T, GALINDO BE, GUNARATNE HJ, JULIANO C, KINUKAWA M, MOY GW, NEILL AT, NOMURA M, RAISCH M, READE A, ROUX MM, SONG JL, SU YH, TOWNLEY IK, VORONINA E, WONG JL, AMORE G, BRANNO M, BROWN ER, CAVALIERI, V, DUBOC V, DULOQUIN L, FLYTZANIS C, GACHE C, LAPRAZ F, LEPAGE T, LOCASCIO A, MART, University of California-University of California, Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Consiglio Nazionale delle Ricerche (CNR), Centre National de la Recherche Scientifique (CNRS)-Le Mans Université (UM), Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Biogéosciences [UMR 6282] [Dijon] (BGS), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Ecole Nationale Supérieure de Chimie de Mulhouse-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), University of California-University of California-School of Medicine, Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université de Lille, Sciences et Technologies-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Joseph Fourier - Grenoble 1 (UJF), University of Manchester Institute of Science and Technology (UMIST), Condensed Matter Physics and Materials Science Department, Brookhaven National Laboratory, Brookhaven National Laboratory [Upton, NY] (BNL), UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY)-U.S. Department of Energy [Washington] (DOE)-UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY)-U.S. Department of Energy [Washington] (DOE), Baylor College of Medicine (BCM), Baylor University, Laboratoire de Traitement de l'Information Medicale (LaTIM), Université européenne de Bretagne - European University of Brittany (UEB)-Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Laboratoire de Modélisation et Simulation Multi Echelle (MSME), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Duke University [Durham], Instituto Andaluz de Geofísica y Prevención de Desastres Sísmicos [Granada] (IAGPDS), Universidad de Granada (UGR), Laboratoire d'Ingénierie des Matériaux de Bretagne (LIMATB), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO), University of New South Wales [Sydney] (UNSW), Celera Genomics (CRA), Celera Genomics, Paléobiodiversité et paléoenvironnements, Muséum national d'Histoire naturelle (MNHN)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Roma Tor Vergata [Roma], Unité de recherches forestières (BORDX PIERR UR ), Institut National de la Recherche Agronomique (INRA), Deptartment of Neuroscience, Uppsala University, State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology (NIGPAS-CAS), Chinese Academy of Sciences [Nanjing Branch]-Chinese Academy of Sciences [Nanjing Branch], Institut Méditerranéen d'Ecologie et de Paléoécologie (IMEP), Université Paul Cézanne - Aix-Marseille 3-Université de Provence - Aix-Marseille 1-Avignon Université (AU)-Centre National de la Recherche Scientifique (CNRS), Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China, Université Paris Diderot - Paris 7 (UPD7), Department of Physical and Environmental Sciences [Toronto], University of Toronto at Scarborough, inconnu temporaire UPEMLV, Inconnu, Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Department of Atmospheric Sciences [Seattle], University of Washington [Seattle], National Institute of Advanced Industrial Science and Technology (AIST), Department of Pharmacy, Università degli studi di Genova = University of Genoa (UniGe), Interdisciplinary Arts and Sciences Department, St. Vincent's Hospital, Sydney, Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Electrical Engineering (DEE-POSTECH), Pohang University of Science and Technology (POSTECH), Centre Suisse d'Electronique et de Microtechnique SA [Neuchatel] (CSEM), Centre Suisse d'Electronique et Microtechnique SA (CSEM), Human Genome Sequencing Center [Houston] (HGSC), Brookhaven National Laboratory, Meteorological Service of Canada, 4905 Dufferin Street, Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Mines-Télécom [Paris] (IMT), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est Marne-la-Vallée (UPEM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Unité de Recherches Forestières, Department of Physical and Environmental Sciences, University of Toronto [Scarborough, Canada], National Institute for Nuclear Physics (INFN), University of Genoa (UNIGE), Institut de Recherche pour le Développement (IRD)-Institut Universitaire Européen de la Mer (IUEM), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Universidad de Granada = University of Granada (UGR), Laboratoire d'Energétique et de Mécanique Théorique Appliquée (LEMTA ), Technische Universität München [München] (TUM), Queen's University [Kingston], Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Grenoble Alpes (UGA), Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Chimie de Rennes-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Ecole Centrale de Lille-Université de Lille, Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Centre National de la Recherche Scientifique (CNRS), Universitat Autònoma de Barcelona [Barcelona] (UAB), École Polytechnique de Montréal (EPM)-Université de Sherbrooke [Sherbrooke]-Université de Montréal [Montréal]-McGill University-Fonds Québécois de Recherche sur la Nature et les Technologies (FQRNT), Université de Montréal [Montréal], U.S. Department of Energy [Washington] (DOE)-UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), Université de Bretagne Sud (UBS)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO)-Université de Brest (UBO), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Paul Cézanne - Aix-Marseille 3-Centre National de la Recherche Scientifique (CNRS)-Avignon Université (AU)-Université de Provence - Aix-Marseille 1, Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Université de Lille, Sciences et Technologies-Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Male ,MESH: Signal Transduction ,MESH: Sequence Analysis, DNA ,MESH : Transcription Factors ,MESH : Calcification, Physiologic ,Genome ,MESH : Proteins ,0302 clinical medicine ,MESH : Embryonic Development ,MESH: Gene Expression Regulation, Developmental ,Innate ,MESH: Embryonic Development ,Developmental ,Nervous System Physiological Phenomena ,MESH: Animals ,MESH: Proteins ,[SDV.BDD]Life Sciences [q-bio]/Development Biology ,Complement Activation ,ComputingMilieux_MISCELLANEOUS ,MESH: Evolution, Molecular ,MESH : Strongylocentrotus purpuratus ,Genetics ,0303 health sciences ,MESH: Nervous System Physiological Phenomena ,Multidisciplinary ,biology ,Medicine (all) ,MESH: Immunologic Factors ,Gene Expression Regulation, Developmental ,Genome project ,MESH: Transcription Factors ,MESH : Immunity, Innate ,MESH : Complement Activation ,MESH: Genes ,Bacterial artificial chromosome (BAC)DeuterostomesStrongylocentrotus purpuratusVertebrate innovations ,Echinoderm ,MESH : Nervous System Physiological Phenomena ,embryonic structures ,MESH: Cell Adhesion Molecules ,MESH : Genes ,MESH: Immunity, Innate ,Sequence Analysis ,Signal Transduction ,MESH: Computational Biology ,Genome evolution ,MESH: Complement Activation ,Sequence analysis ,Evolution ,MESH: Strongylocentrotus purpuratus ,MESH : Male ,Embryonic Development ,MESH : Immunologic Factors ,Article ,MESH: Calcification, Physiologic ,Calcification ,MESH : Cell Adhesion Molecules ,Evolution, Molecular ,03 medical and health sciences ,Calcification, Physiologic ,Animals ,Immunologic Factors ,MESH: Genome ,[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology ,MESH : Evolution, Molecular ,Physiologic ,Gene ,Strongylocentrotus purpuratus ,[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry, Molecular Biology ,030304 developmental biology ,MESH : Signal Transduction ,Bacterial artificial chromosome ,Immunity ,Molecular ,Computational Biology ,Proteins ,Cell Adhesion Molecules ,Genes ,Immunity, Innate ,Transcription Factors ,Sequence Analysis, DNA ,DNA ,biology.organism_classification ,MESH: Male ,Gene Expression Regulation ,MESH : Animals ,MESH : Gene Expression Regulation, Developmental ,MESH : Genome ,030217 neurology & neurosurgery ,MESH : Computational Biology ,MESH : Sequence Analysis, DNA - Abstract
We report the sequence and analysis of the 814-megabase genome of the sea urchin Strongylocentrotus purpuratus , a model for developmental and systems biology. The sequencing strategy combined whole-genome shotgun and bacterial artificial chromosome (BAC) sequences. This use of BAC clones, aided by a pooling strategy, overcame difficulties associated with high heterozygosity of the genome. The genome encodes about 23,300 genes, including many previously thought to be vertebrate innovations or known only outside the deuterostomes. This echinoderm genome provides an evolutionary outgroup for the chordates and yields insights into the evolution of deuterostomes.
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- 2006
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- View/download PDF
47. Definition of regulatory network elements for T cell development by perturbation analysis with PU.1 and GATA-3
- Author
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Michele K. Anderson, Dan Chen, Christopher J. Dionne, Alexandra M. Arias, Ellen V. Rothenberg, and Gabriela Hernandez-Hoyos
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T cell ,retroviral transduction ,T-Lymphocytes ,Gene regulatory network ,Regulator ,pre-TCR ,GATA3 Transcription Factor ,Biology ,GATA-3 ,03 medical and health sciences ,Mice ,0302 clinical medicine ,Time windows ,Proto-Oncogene Proteins ,Genes, Regulator ,Recombinase ,medicine ,Animals ,Ets family ,Cell Lineage ,RNA, Messenger ,Progenitor cell ,Gene ,Transcription factor ,Molecular Biology ,030304 developmental biology ,DNA Primers ,Genetics ,Mice, Knockout ,0303 health sciences ,Base Sequence ,Reverse Transcriptase Polymerase Chain Reaction ,T cell development ,PU.1 ,Cell Biology ,fetal thymus organ culture ,Cell biology ,DNA-Binding Proteins ,medicine.anatomical_structure ,HES-1 ,c-Myb ,IL-7 receptor ,Trans-Activators ,030215 immunology ,Developmental Biology - Abstract
PU.1 and GATA-3 are transcription factors that are required for development of T cell progenitors from the earliest stages. Neither one is a simple positive regulator for T lineage specification, however. When expressed at elevated levels at early stages of T cell development, each of these transcription factors blocks T cell development within a different, characteristic time window, with GATA-3 overexpression initially inhibiting at an earlier stage than PU.1. These perturbations are each associated with a distinct spectrum of changes in the regulation of genes needed for T cell development. Both transcription factors can interfere with expression of the Rag-1 and Rag-2 recombinases, while GATA-3 notably blocks PU.1 and IL-7Rα expression, and PU.1 reduces expression of HES-1 and c-Myb. A first-draft assembly of the regulatory targets of these two factors is presented as a provisional gene network. The target genes identified here provide insight into the basis of the effects of GATA-3 or PU.1 overexpression and into the regulatory changes that distinguish the developmental time windows for these effects.
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- 2002
48. Complex expression patterns of lymphocyte-specific genes during the development of cartilaginous fish implicate unique lymphoid tissues in generating an immune repertoire
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Carl A. Luer, Ann L. Miracle, Ellen V. Rothenberg, Cathy J. Walsh, Gary W. Litman, Ronda T. Litman, and Michele K. Anderson
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T cell ,Receptors, Antigen, T-Cell, alpha-beta ,Immunology ,Gene Expression ,Immunoglobulins ,Transposases ,Spleen ,Thymus Gland ,Polymerase Chain Reaction ,DNA Nucleotidylexotransferase ,Gene expression ,medicine ,Immunology and Allergy ,Animals ,Skates, Fish ,Gonads ,Gene ,B cell ,Homeodomain Proteins ,Clearnose skate ,B-Lymphocytes ,biology ,T-cell receptor ,Receptors, Antigen, T-Cell, gamma-delta ,General Medicine ,biology.organism_classification ,Molecular biology ,medicine.anatomical_structure ,Terminal deoxynucleotidyl transferase ,Immunoglobulin M ,Immunoglobulin Light Chains - Abstract
Cartilaginous fish express canonical B and T cell recognition genes, but their lymphoid organs and lymphocyte development have been poorly defined. Here, the expression of Ig, TCR, recombination-activating gene (Rag)-1 and terminal deoxynucleosidase (TdT) genes has been used to identify roles of various lymphoid tissues throughout development in the cartilaginous fish, Raja eglanteria (clearnose skate). In embryogenesis, Ig and TCR genes are sharply up-regulated at 8 weeks of development. At this stage TCR and TdT expression is limited to the thymus; later, TCR gene expression appears in peripheral sites in hatchlings and adults, suggesting that the thymus is a source of T cells as in mammals. B cell gene expression indicates more complex roles for the spleen and two special organs of cartilaginous fish-the Leydig and epigonal (gonad-associated) organs. In the adult, the Leydig organ is the site of the highest IgM and IgX expression. However, the spleen is the first site of IgM expression, while IgX is expressed first in gonad, liver, Leydig and even thymus. Distinctive spatiotemporal patterns of Ig light chain gene expression also are seen. A subset of Ig genes is pre-rearranged in the germline of the cartilaginous fish, making expression possible without rearrangement. To assess whether this allows differential developmental regulation, IgM and IgX heavy chain cDNA sequences from specific tissues and developmental stages have been compared with known germline-joined genomic sequences. Both non-productively rearranged genes and germline-joined genes are transcribed in the embryo and hatchling, but not in the adult.
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- 2001
49. Evolution of hematopoiesis: Three members of the PU.1 transcription factor family in a cartilaginous fish, Raja eglanteria
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Xiao Sun, Gary W. Litman, Ellen V. Rothenberg, Ann L. Miracle, and Michele K. Anderson
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DNA, Complementary ,Molecular Sequence Data ,Xenopus Proteins ,Homology (biology) ,Evolution, Molecular ,Mice ,Species Specificity ,Phylogenetics ,biology.animal ,Proto-Oncogene Proteins ,Animals ,Humans ,Protein Isoforms ,Amino Acid Sequence ,Skates, Fish ,Skate ,Transcription factor ,Gene ,Phylogeny ,Genetics ,Multidisciplinary ,Binding Sites ,biology ,Sequence Homology, Amino Acid ,Lamprey ,Fishes ,Vertebrate ,Lampreys ,DNA ,Biological Sciences ,biology.organism_classification ,Biological Evolution ,Invertebrates ,Lymphocyte Subsets ,Hematopoiesis ,DNA-Binding Proteins ,Petromyzon ,Genes ,Organ Specificity ,Multigene Family ,Vertebrates ,Trans-Activators ,Chickens ,Sequence Alignment ,Spleen ,Caltech Library Services ,Transcription Factors - Abstract
T lymphocytes and B lymphocytes are present in jawed vertebrates, including cartilaginous fishes, but not in jawless vertebrates or invertebrates. The origins of these lineages may be understood in terms of evolutionary changes in the structure and regulation of transcription factors that control lymphocyte development, such as PU.1. The identification and characterization of three members of the PU.1 family of transcription factors in a cartilaginous fish, Raja eglanteria , are described here. Two of these genes are orthologs of mammalian PU.1 and Spi-C, respectively, whereas the third gene, Spi-D, is a different family member. In addition, a PU.1-like gene has been identified in a jawless vertebrate, Petromyzon marinus (sea lamprey). Both DNA-binding and transactivation domains are highly conserved between mammalian and skate PU.1, in marked contrast to lamprey Spi, in which similarity is evident only in the DNA-binding domain. Phylogenetic analysis of sequence data suggests that the appearance of Spi-C may predate the divergence of the jawed and jawless vertebrates and that Spi-D arose before the divergence of the cartilaginous fish from the lineage leading to the mammals. The tissue-specific expression patterns of skate PU.1 and Spi-C suggest that these genes share regulatory as well as structural properties with their mammalian orthologs.
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- 2001
50. Transcription Factor Expression in Lymphocyte Development: Clues to the Evolutionary Origins of Lymphoid Cell Lineages?
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Ellen V. Rothenberg and Michele K. Anderson
- Subjects
Genetics ,Phylogenetic tree ,Molecular evolution ,Phylogenetics ,biology.animal ,Horizontal gene transfer ,Gene duplication ,Vertebrate ,Biology ,Gene ,Transcription factor - Abstract
Lymphocyte development provides an excellent model system for studying the evolutionary divergence of cell lineages. Based on their appearance in vertebrate phylogeny, the origins of lymphoid cell lineages are likely to lie in events which occurred during a defined range of time at least 450 million years ago. The dramatic emergence of both B cells and T cells in the cartilaginous fish (Litman et al. 1999) indicates the occurrence of at least one major event pivotal for the development of lymphocytes as we know them, after the divergence of the vertebrates from the other chordates but before the diversification of the jawed vertebrates. One such event may have been the acquisition, perhaps by horizontal transfer, of the recombination-activating genes (RAGs; Agrawal et al. 1998). The large-scale gene duplication events which are believed to have occurred at approximately this same time (Holland et al. 1994; Pebusque et al. 1998) may have provided another powerful mechanism for rapid evolutionary change. Lymphoid development is dependent upon networks of transcription factors, which serve not only to activate a series of temporally controlled gene batteries during differentiation but also to stabilize the mature phenotype. These transcription factors are generally members of multigene families whose origins are far more ancient than the lymphoid lineages in which they operate and provide a bridge across phylogenetic distances which have been thus far inaccessible to the study of rearranging antigen receptors. Furthermore, it is likely that duplication and/or divergence of both the cis-regulatory regions and the structural portions of transcription factor family members has contributed to the diversification of hematopoietic cell types in vertebrates.
- Published
- 2000
- Full Text
- View/download PDF
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