91 results on '"Haeussler, M."'
Search Results
2. A practical handling of measurement uncertainties in frequency based substructuring
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Trainotti, F., Haeussler, M., and Rixen, D.J.
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- 2020
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3. Experimental twelve degree of freedom rubber isolator models for use in substructuring assemblies
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Haeussler, M., Klaassen, S.W.B., and Rixen, D.J.
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- 2020
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4. Automated Correction of Sensor Orientation in Experimental Dynamic Substructuring
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Haeussler, M., Sendlbeck, S., Rixen, D., Zimmerman, Kristin B., Series Editor, Linderholt, Andreas, editor, Allen, Matthew S., editor, Mayes, Randall L., editor, and Rixen, Daniel, editor
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- 2018
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5. Optimal Transformation of Frequency Response Functions on Interface Deformation Modes
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Häußler, M., Rixen, Daniel Jean, Zimmerman, Kristin B., Series editor, Allen, Matthew S., editor, Mayes, Randall L., editor, and Rixen, Daniel Jean, editor
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- 2017
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6. Automated Correction of Sensor Orientation in Experimental Dynamic Substructuring
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Haeussler, M., primary, Sendlbeck, S., additional, and Rixen, D., additional
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- 2018
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- View/download PDF
7. Responsible Content Mining
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Molloy, J., primary, Haeussler, M., additional, Murray-Rust, P., additional, and Oppenheim, C., additional
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- 2016
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- View/download PDF
8. Bio-inspired antimicrobial polymers
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Michl, T.D., primary, Locock, K.E.S., additional, Griesser, S.S., additional, Haeussler, M., additional, Meagher, L., additional, and Griesser, H.J., additional
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- 2016
- Full Text
- View/download PDF
9. List of contributors
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Abdelhamid, D., primary, Abidian, M.R., additional, Adhikari, R., additional, Asplund, M., additional, Goding, J.A., additional, Green, R.A., additional, Griesser, S.S., additional, Griesser, H.J., additional, Gunatillake, P.A., additional, Haeussler, M., additional, Locock, K.E.S., additional, Martens, P.J., additional, Meagher, L., additional, Michl, T.D., additional, Moore, E.M., additional, Nsiah, B.A., additional, Ozcelik, B., additional, Patton, A.J., additional, Poole-Warren, L.A., additional, Roberts, J.J., additional, Roudsari, L.C., additional, Thissen, H., additional, Udipi, K., additional, Uhrich, K.E., additional, Virdone, N.K., additional, West, J.L., additional, and Yi, N., additional
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- 2016
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10. Contributors
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Alex, B., primary, Ananiadou, S., additional, Barjat, H., additional, Black, W.J., additional, Bontcheva, K., additional, Bretz, H., additional, Charlesworth, A., additional, Bueno-de-la-Fuente, G., additional, Derczynski, L., additional, Greenberg, J., additional, Grover, C., additional, Hachey, B., additional, Haeussler, M., additional, Hawizy, L., additional, Klein, E., additional, Lawrence, B.N., additional, Llewellyn, C., additional, McNaught, J., additional, Miwa, M., additional, Molloy, J., additional, Murray-Rust, P., additional, Oppenheim, C., additional, Pascoe, C.L., additional, Rodríguez Mateos, D., additional, Rowley, A., additional, Schilder, F., additional, Singh, S., additional, Thomas, M., additional, Tobin, R., additional, Tonkin, E.L., additional, Tourte, G. J.L., additional, Vacek, T., additional, and Zampieri, M., additional
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- 2016
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11. User-friendly, scalable tools and workflows for single-cell analysis
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Moreno, P., primary, Huang, N., additional, Manning, J.R., additional, Mohammed, S., additional, Solovyev, A., additional, Polanski, K., additional, Chazarra, R., additional, Talavera-Lopez, C., additional, Doyle, M., additional, Marnier, G., additional, Grüning, B., additional, Rasche, H., additional, Bacon, W., additional, Perez-Riverol, Y., additional, Haeussler, M., additional, Meyer, K.B., additional, Teichmann, S., additional, and Papatheodorou, I., additional
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- 2020
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12. BRCA Challenge: BRCA Exchange as a global resource for variants in BRCA1 and BRCA2
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Cline, M.S., Liao, R.G., Parsons, M.T., Paten, B., Alquaddoomi, F., Antoniou, A., Baxter, S., Brody, L., Cook-Deegan, R., Coffin, A., Couch, F.J., Craft, B., Currie, R., Dlott, C.C., Dolman, L., Dunnen, J.T. den, Dyke, S.O.M., Domchek, S.M., Easton, D., Fischmann, Z., Foulkes, W.D., Garber, J., Goldgar, D., Goldman, M.J., Goodhand, P., Harrison, S., Haussler, D., Kato, K., Knoppers, B., Markello, C., Nussbaum, R., Offit, K., Plon, S.E., Rashbass, J., Rehm, H.L., Robson, M., Rubinstein, W.S., Stoppa-Lyonnet, D., Tavtigian, S., Thorogood, A., Zhang, C., Zimmermann, M., Burn, J., Chanock, S., Ratsch, G., Spurdle, A.B., Andreoletti, G., Baker, D., Brenner, S., Brush, M., Caputo, S., Castera, L., Cunningham, F., Hoya, M. de la, Diekhans, M., Dolinsky, J., Dwight, S., Eccles, D., Feng, B., Fiume, M., Flicek, P., Gaudet, P., Garcia, E.G., Haendel, M., Haeussler, M., Hahnen, E., Houdayer, C., Hunt, S., James, P., Lebo, M., Lee, J., Lerner-Ellis, J., Lin, M., Lincoln, S., Malheiro, A., Mesenkamp, A., Monteiro, A., Natzijl-Visser, E., Ngeow, J., North, K., Parkinson, H., Paschall, J., Patrinos, G., Phimister, B., Radice, P., Rainville, I., Rasmussen, M., Riley, G., Rouleau, E., Schmutzler, R., Shefchek, K., Sofia, H., Southey, M., Stuart, J., Thomas, J., Toland, A., Truty, R., Turn-Bull, C., Vaur, D., Vreeswijk, M.P.G., Walker, L., Walsh, M., Wappenschmidt, B., Weitzel, J., Wright, M., Zalunin, V., Zaranek, A., Zerbino, D., Zhou, A., Zhou, J., Zook, J., BRCA Challenge Authors, Eng, Charis, Liao, Rachel G [0000-0002-7830-1976], Parsons, Michael T [0000-0003-3242-8477], Alquaddoomi, Faisal [0000-0003-4297-8747], Baxter, Samantha [0000-0003-4616-9234], Coffin, Amy [0000-0003-2723-8222], Currie, Robert [0000-0003-1828-1827], Dlott, Chloe C [0000-0002-7268-7230], Dolman, Lena [0000-0002-3938-588X], Fischmann, Zachary [0000-0002-7687-0972], Foulkes, William D [0000-0001-7427-4651], Goldman, Mary J [0000-0002-9808-6388], Goodhand, Peter [0000-0002-2624-2820], Harrison, Steven [0000-0002-9614-9111], Haussler, David [0000-0003-1533-4575], Markello, Charles [0000-0002-3653-7155], Plon, Sharon E [0000-0002-9626-0936], Rehm, Heidi L [0000-0002-6025-0015], Rubinstein, Wendy S [0000-0002-8790-9959], Tavtigian, Sean [0000-0002-7543-8221], Thorogood, Adrian [0000-0001-5078-8164], Chanock, Stephen [0000-0002-2324-3393], Rätsch, Gunnar [0000-0001-5486-8532], Spurdle, Amanda B [0000-0003-1337-7897], and Apollo - University of Cambridge Repository
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0301 basic medicine ,Male ,Cancer Research ,Research Facilities ,endocrine system diseases ,Epidemiology ,Genes, BRCA2 ,Genes, BRCA1 ,Social Sciences ,Penetrance ,QH426-470 ,Patient advocacy ,Database and Informatics Methods ,0302 clinical medicine ,Resource (project management) ,Sociology ,Gene Frequency ,Consortia ,Risk Factors ,Databases, Genetic ,Medicine and Health Sciences ,Aetiology ,skin and connective tissue diseases ,Genetics (clinical) ,Cancer ,Ovarian Neoplasms ,education.field_of_study ,Cancer Risk Factors ,Genomics ,Genomic Databases ,3. Good health ,Viewpoints ,Phenotype ,Oncology ,030220 oncology & carcinogenesis ,Female ,Research Laboratories ,Population ,Genetic Causes of Cancer ,MEDLINE ,Information Dissemination ,Breast Neoplasms ,Patient Advocacy ,Biology ,Research and Analysis Methods ,Human Genomics ,03 medical and health sciences ,Databases ,Genetic ,Breast Cancer ,Genetics ,Humans ,Genetic Predisposition to Disease ,education ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,Alleles ,Human Genome ,Biology and Life Sciences ,Computational Biology ,Genetic Variation ,Genome Analysis ,Genomic Libraries ,BRCA1 ,Data science ,BRCA2 ,Data sharing ,Health Care ,030104 developmental biology ,Biological Databases ,Good Health and Well Being ,Genes ,Genetic Loci ,Medical Risk Factors ,BRCA Challenge Authors ,Mutation ,Leiden Open Variation Database ,2.6 Resources and infrastructure (aetiology) ,Government Laboratories ,Developmental Biology - Abstract
The BRCA Challenge is a long-term data-sharing project initiated within the Global Alliance for Genomics and Health (GA4GH) to aggregate BRCA1 and BRCA2 data to support highly collaborative research activities. Its goal is to generate an informed and current understanding of the impact of genetic variation on cancer risk across the iconic cancer predisposition genes, BRCA1 and BRCA2. Initially, reported variants in BRCA1 and BRCA2 available from public databases were integrated into a single, newly created site, www.brcaexchange.org. The purpose of the BRCA Exchange is to provide the community with a reliable and easily accessible record of variants interpreted for a high-penetrance phenotype. More than 20,000 variants have been aggregated, three times the number found in the next-largest public database at the project’s outset, of which approximately 7,250 have expert classifications. The data set is based on shared information from existing clinical databases—Breast Cancer Information Core (BIC), ClinVar, and the Leiden Open Variation Database (LOVD)—as well as population databases, all linked to a single point of access. The BRCA Challenge has brought together the existing international Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium expert panel, along with expert clinicians, diagnosticians, researchers, and database providers, all with a common goal of advancing our understanding of BRCA1 and BRCA2 variation. Ongoing work includes direct contact with national centers with access to BRCA1 and BRCA2 diagnostic data to encourage data sharing, development of methods suitable for extraction of genetic variation at the level of individual laboratory reports, and engagement with participant communities to enable a more comprehensive understanding of the clinical significance of genetic variation in BRCA1 and BRCA2., Author summary The goal of this study and paper has been to develop an international resource to generate an informed and current understanding of the impact of genetic variation on cancer risk across the cancer predisposition genes, BRCA1 and BRCA2. Reported variants in BRCA1 and BRCA2 available from public databases were integrated into a single, newly created site, www.brcaexchange.org, to provide a reliable and easily accessible record of variants interpreted for a high-penetrance phenotype.
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- 2018
13. Chapter 4 - Responsible Content Mining
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Molloy, J., Haeussler, M., Murray-Rust, P., and Oppenheim, C.
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- 2016
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14. 4 - Bio-inspired antimicrobial polymers
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Michl, T.D., Locock, K.E.S., Griesser, S.S., Haeussler, M., Meagher, L., and Griesser, H.J.
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- 2016
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15. Selecting guide RNAs with high on-target and low off-target activity using CRISPOR
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Haeussler, M., Schonig, K., Eckert, H., Eschstruth, A., Sylvie Schneider-Maunoury, Shkumatava, A., Kent, J., Joly, J. S., Concordet, J. P., Morphogénèse du Cerveau des Vertébrés = Morphogenesis of the vertebrate brain (LBD-E10), Laboratoire de Biologie du Développement (LBD), Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), ProdInra, Migration, University of California [Santa Cruz] (UC Santa Cruz), University of California (UC), Heidelberg University, Génétique et Biologie du Développement, Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC), USC CNRS jeune équipe Développement, Evolution et Plasticité du Système Nerveux (DEPSN), Institut National de la Recherche Agronomique (INRA), Muséum national d'Histoire naturelle (MNHN), University of California [Santa Cruz] (UCSC), University of California, and Mazalérat, Charlotte
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[SDV] Life Sciences [q-bio] ,on-target efficiency ,gRNA design ,CRISPR design ,CRISPR/Cas ,[SDV]Life Sciences [q-bio] ,[SDV.BDD] Life Sciences [q-bio]/Development Biology ,gRNA finder ,[INFO]Computer Science [cs] ,[INFO] Computer Science [cs] ,[SDV.BDD]Life Sciences [q-bio]/Development Biology ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience; no abstract
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- 2016
16. Systematic detection of brain protein-coding genes under positive selection during primate evolution and their roles in cognition
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Dumas, Guillaume, Malesys, Simon, Bourgeron, Thomas, Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université de Montréal (UdeM), CHU Sainte Justine [Montréal], This work was supported by the Institut Pasteur, Centre National de la Recherche Scientifique, Paris Diderot University, the Fondation pour la Recherche Médicale (DBI20141231310), the Human Brain Project, the Cognacq-Jay Foundation, the Bettencourt-Schueller Foundation, the Agence Nationale de la Recherche (ANR) (SynPathy), and the Innovative Medicines Initiative 2 [No. 777394]. This research was also supported by the Laboratory of Excellence GENMED (Medical Genomics) Grant No. ANR-10-LABX-0013, Bio-Psy, and by the INCEPTION program ANR-16-CONV-0005, all managed by the ANR part of the Investments for the Future program. G.D. is funded by the Institute for Data Valorization (IVADO), Montreal, and the Fonds de Recherche du Québec (FRQ, 295291, 295289)., We thank J.-P. Changeux, L. Quintana-Murci, E. Patin, G. Laval, B. Arcangioli, D. DiGregorio, L. Bally-Cuif, A. Chedotal, C. Berthelot, H. Roest Crollius, and V. Warrier for advice and comments, and we thank the members of the Human Genetics and Cognitive Functions laboratory for helpful discussions. We also thank C. Gorgolewski, R. Carter, M. Haeussler, M. Verhage, and the SynGO consortium for providing key data sets without which this work would not have been possible., ANR-15-NEUR-0007,SynPathy,Key Determinants of Synaptic Excitation-Inhibition Imbalance in Autism Spectrum Disorders - From Genetic Animal Models to Human Patients(2015), ANR-10-LABX-0013,GENMED,Medical Genomics(2010), ANR-16-CONV-0005,INCEPTION,Institut Convergences pour l'étude de l'Emergence des Pathologies au Travers des Individus et des populatiONs(2016), and Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris]-Université de Paris (UP)
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Resource ,Evolution, Molecular ,Primates ,Brain Diseases ,Cognition ,DNA Repair Enzymes ,[SCCO.NEUR]Cognitive science/Neuroscience ,Animals ,Brain ,Humans ,Proteins ,Selection, Genetic ,DNA Damage - Abstract
International audience; The human brain differs from that of other primates, but the genetic basis of these differences remains unclear. We investigated the evolutionary pressures acting on almost all human protein-coding genes (N = 11,667; 1:1 orthologs in primates) based on their divergence from those of early hominins, such as Neanderthals, and non-human primates. We confirm that genes encoding brain-related proteins are among the most strongly conserved protein-coding genes in the human genome. Combining our evolutionary pressure metrics for the protein-coding genome with recent data sets, we found that this conservation applied to genes functionally associated with the synapse and expressed in brain structures such as the prefrontal cortex and the cerebellum. Conversely, several genes presenting signatures commonly associated with positive selection appear as causing brain diseases or conditions, such as micro/macrocephaly, Joubert syndrome, dyslexia, and autism. Among those, a number of DNA damage response genes associated with microcephaly in humans such as BRCA1, NHEJ1, TOP3A, and RNF168 show strong signs of positive selection and might have played a role in human brain size expansion during primate evolution. We also showed that cerebellum granule neurons express a set of genes also presenting signatures of positive selection and that may have contributed to the emergence of fine motor skills and social cognition in humans. This resource is available online and can be used to estimate evolutionary constraints acting on a set of genes and to explore their relative contributions to human traits.
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- 2021
17. Bio-inspired antimicrobial polymers
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Stefani S. Griesser, Thomas D. Michl, Katherine E. S. Locock, Matthias Haeussler, Hans J. Griesser, Laurence Meagher, Michl, TD, Locock, KES, Griesser, SS, Haeussler, M, Meagher, L, and Griesser, HJ
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chemistry.chemical_classification ,Materials science ,antibacterial coatings ,medicine.drug_class ,Biomolecule ,Antibiotics ,Antimicrobial peptides ,Polymer ,Antimicrobial ,Combinatorial chemistry ,antibiotics ,antimicrobial peptides ,chemistry ,medicine - Abstract
Traditionally, most antibiotics are relatively low molecular weight chemical compounds. Bacteria have shown the ability to acquire resistance to many antibiotics. In nature, on the other hand, there are examples of antibiotics to which resistance has not been developed. This is particularly the case for naturally occurring antimicrobial peptides. In this chapter we discuss antimicrobial peptides and their postulated mechanisms of action, followed by a review of synthetic polymers with structures inspired by biological molecules, particularly antimicrobial peptides. We also review the grafting of polymers onto biomaterials and biomedical devices, so as to generate polymeric antimicrobial coatings.
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- 2016
18. Cell type mapping reveals tissue niches and interactions in subcortical multiple sclerosis lesions.
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Lerma-Martin C, Badia-I-Mompel P, Ramirez Flores RO, Sekol P, Schäfer PSL, Riedl CJ, Hofmann A, Thäwel T, Wünnemann F, Ibarra-Arellano MA, Trobisch T, Eisele P, Schapiro D, Haeussler M, Hametner S, Saez-Rodriguez J, and Schirmer L
- Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. Inflammation is gradually compartmentalized and restricted to specific tissue niches such as the lesion rim. However, the precise cell type composition of such niches, their interactions and changes between chronic active and inactive stages are incompletely understood. We used single-nucleus and spatial transcriptomics from subcortical MS and corresponding control tissues to map cell types and associated pathways to lesion and nonlesion areas. We identified niches such as perivascular spaces, the inflamed lesion rim or the lesion core that are associated with the glial scar and a cilia-forming astrocyte subtype. Focusing on the inflamed rim of chronic active lesions, we uncovered cell-cell communication events between myeloid, endothelial and glial cell types. Our results provide insight into the cellular composition, multicellular programs and intercellular communication in tissue niches along the conversion from a homeostatic to a dysfunctional state underlying lesion progression in MS., (© 2024. The Author(s).)
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- 2024
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19. Temporally distinct 3D multi-omic dynamics in the developing human brain.
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Heffel MG, Zhou J, Zhang Y, Lee DS, Hou K, Pastor-Alonso O, Abuhanna KD, Galasso J, Kern C, Tai CY, Garcia-Padilla C, Nafisi M, Zhou Y, Schmitt AD, Li T, Haeussler M, Wick B, Zhang MJ, Xie F, Ziffra RS, Mukamel EA, Eskin E, Nowakowski TJ, Dixon JR, Pasaniuc B, Ecker JR, Zhu Q, Bintu B, Paredes MF, and Luo C
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- Humans, Epigenomics, Male, Female, Single Molecule Imaging, Time Factors, Cell Differentiation genetics, Brain metabolism, Brain growth & development, Brain cytology, Epigenesis, Genetic, Multiomics, Single-Cell Analysis, Prefrontal Cortex metabolism, Prefrontal Cortex cytology, Prefrontal Cortex growth & development, Hippocampus cytology, Hippocampus metabolism, Hippocampus growth & development, Chromatin metabolism, Chromatin genetics, Chromatin chemistry, DNA Methylation genetics, Neurons metabolism, Neurons cytology, Schizophrenia genetics, Schizophrenia metabolism, Neuroglia metabolism, Neuroglia cytology
- Abstract
The human hippocampus and prefrontal cortex play critical roles in learning and cognition
1,2 , yet the dynamic molecular characteristics of their development remain enigmatic. Here we investigated the epigenomic and three-dimensional chromatin conformational reorganization during the development of the hippocampus and prefrontal cortex, using more than 53,000 joint single-nucleus profiles of chromatin conformation and DNA methylation generated by single-nucleus methyl-3C sequencing (snm3C-seq3)3 . The remodelling of DNA methylation is temporally separated from chromatin conformation dynamics. Using single-cell profiling and multimodal single-molecule imaging approaches, we have found that short-range chromatin interactions are enriched in neurons, whereas long-range interactions are enriched in glial cells and non-brain tissues. We reconstructed the regulatory programs of cell-type development and differentiation, finding putatively causal common variants for schizophrenia strongly overlapping with chromatin loop-connected, cell-type-specific regulatory regions. Our data provide multimodal resources for studying gene regulatory dynamics in brain development and demonstrate that single-cell three-dimensional multi-omics is a powerful approach for dissecting neuropsychiatric risk loci., Competing Interests: Competing interests J.R.E. serves on the scientific advisory board of Zymo Research. A.D.S. is an employee of Arima Genomics., (© 2024. The Author(s).)- Published
- 2024
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20. The UCSC Genome Browser database: 2025 update.
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Perez G, Barber GP, Benet-Pages A, Casper J, Clawson H, Diekhans M, Fischer C, Gonzalez JN, Hinrichs AS, Lee CM, Nassar LR, Raney BJ, Speir ML, van Baren MJ, Vaske CJ, Haussler D, Kent WJ, and Haeussler M
- Abstract
The UCSC Genome Browser (https://genome.ucsc.edu) is a widely utilized web-based tool for visualization and analysis of genomic data, encompassing over 4000 assemblies from diverse organisms. Since its release in 2001, it has become an essential resource for genomics and bioinformatics research. Annotation data available on Genome Browser includes both internally created and maintained tracks as well as custom tracks and track hubs provided by the research community. This last year's updates include over 25 new annotation tracks such as the gnomAD 4.1 track on the human GRCh38/hg38 assembly, the addition of three new public hubs, and significant expansions to the Genome Archive[GenArk) system for interacting with the enormous variety of assemblies. We have also made improvements to our interface, including updates to the browser graphic page, such as a new popup dialog feature that now displays item details without requiring navigation away from the main Genome Browser page. GenePred tracks have been upgraded with right-click options for zooming and precise navigation, along with enhanced mouseOver functions. Additional improvements include a new grouping feature for track hubs and hub description info links. A new tutorial focusing on Clinical Genetics has also been added to the UCSC Genome Browser., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.)
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- 2024
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21. KegAlign: Optimizing pairwise alignments with diagonal partitioning.
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Gulhan AB, Burhans R, Harris R, Kandemir M, Haeussler M, and Nekrutenko A
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Our ability to generate sequencing data and assemble it into high quality complete genomes has rapidly advanced in recent years. These data promise to advance our understanding of organismal biology and answer longstanding evolutionary questions. Multiple genome alignment is a key tool in this quest. It is also the area which is lagging: today we can generate genomes faster than we can construct and update multiple alignments containing them. The bottleneck is in considerable computational time required to generate accurate pairwise alignments between divergent genomes, an unavoidable precursor to multiple alignments. This step is typically performed with lastZ, a very sensitive and yet equally slow tool. Here we describe an optimized GPU-enabled pairwise aligner KegAlign. It incorporates a new parallelization strategy, diagonal partitioning, with the latest features of modern GPUs. With KegAlign a typical human/mouse alignment can be computed in under 6 hours on a machine containing a single NVidia A100 GPU and 80 CPU cores without the need for any pre-partitioning of input sequences: a ~150× improvement over lastZ. While other pairwise aligners can complete this task in a fraction of that time, none achieves the sensitivity of KegAlign's main alignment engine, lastZ, and thus may not be suitable for comparing divergent genomes. In addition to providing the source code and a Conda package for KegAlign we also provide a Galaxy workflow that can be readily used by anyone.
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- 2024
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22. Characterization of the Epileptogenic Phenotype and Response to Antiseizure Medications in Lissencephaly Patients.
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Proepper CR, Schuetz SM, Schwarz LM, Au KV, Bast T, Beaud N, Borggraefe I, Bosch F, Budde J, Busse M, Chung J, Debus O, Diepold K, Fries T, Gersdorff GV, Haeussler M, Hahn A, Hartlieb T, Heiming R, Herkenrath P, Kluger G, Kreth JH, Kurlemann G, Moeller P, Morris-Rosendahl DJ, Panzer A, Philippi H, Ruegner S, Toepfer C, Vieker S, Wiemer-Kruel A, Winter A, Schuierer G, Hehr U, and Geis T
- Abstract
Background: Patients with lissencephaly typically present with severe psychomotor retardation and drug-resistant seizures. The aim of this study was to characterize the epileptic phenotype in a genotypically and radiologically well-defined patient cohort and to evaluate the response to antiseizure medication (ASM). Therefore, we retrospectively evaluated 47 patients of five genetic forms ( LIS1/PAFAH1B1 , DCX , DYNC1H1 , TUBA1A , TUBG1 ) using family questionnaires, standardized neuropediatric assessments, and patients' medical reports., Results: All but two patients were diagnosed with epilepsy. Median age at seizure onset was 6 months (range: 2.1-42.0), starting with epileptic spasms in 70%. Standard treatment protocols with hormonal therapy (ACTH or corticosteroids) and/or vigabatrin were the most effective approach for epileptic spasms, leading to seizure control in 47%. Seizures later in the disease course were most effectively treated with valproic acid and lamotrigine, followed by vigabatrin and phenobarbital, resulting in seizure freedom in 20%. Regarding psychomotor development, lissencephaly patients presenting without epileptic spasms were significantly more likely to reach various developmental milestones compared to patients with spasms., Conclusion: Classic lissencephaly is highly associated with drug-resistant epilepsy starting with epileptic spasms in most patients. The standard treatment protocols for infantile epileptic spasms syndrome lead to freedom from seizures in around half of the patients. Due to the association of epileptic spasms with an unfavorable course of psychomotor development, early and reliable diagnosis and treatment of spasms should be pursued. For epilepsies occurring later in childhood, ASM with valproic acid and lamotrigine, followed by vigabatrin and phenobarbital, appears to be most effective., Competing Interests: None declared., (Thieme. All rights reserved.)
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- 2024
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23. Cell type mapping of inflammatory muscle diseases highlights selective myofiber vulnerability in inclusion body myositis.
- Author
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Wischnewski S, Thäwel T, Ikenaga C, Kocharyan A, Lerma-Martin C, Zulji A, Rausch HW, Brenner D, Thomas L, Kutza M, Wick B, Trobisch T, Preusse C, Haeussler M, Leipe J, Ludolph A, Rosenbohm A, Hoke A, Platten M, Weishaupt JH, Sommer CJ, Stenzel W, Lloyd TE, and Schirmer L
- Subjects
- Humans, Cell Cycle Proteins genetics, Cell Cycle Proteins metabolism, Muscle, Skeletal pathology, Muscle, Skeletal metabolism, Nuclear Proteins genetics, Nuclear Proteins metabolism, Muscle Fibers, Skeletal pathology, Muscle Fibers, Skeletal metabolism, Male, Ubiquitin-Protein Ligases genetics, Ubiquitin-Protein Ligases metabolism, Aged, Inflammation pathology, Inflammation metabolism, Inflammation genetics, Dendritic Cells pathology, Dendritic Cells metabolism, GADD45 Proteins, Myositis, Inclusion Body pathology, Myositis, Inclusion Body metabolism, Myositis, Inclusion Body genetics
- Abstract
Inclusion body myositis (IBM) is the most prevalent inflammatory muscle disease in older adults with no effective therapy available. In contrast to other inflammatory myopathies such as subacute, immune-mediated necrotizing myopathy (IMNM), IBM follows a chronic disease course with both inflammatory and degenerative features of pathology. Moreover, causal factors and molecular drivers of IBM progression are largely unknown. Therefore, we paired single-nucleus RNA sequencing with spatial transcriptomics from patient muscle biopsies to map cell-type-specific drivers underlying IBM pathogenesis compared with IMNM muscles and noninflammatory skeletal muscle samples. In IBM muscles, we observed a selective loss of type 2 myonuclei paralleled by increased levels of cytotoxic T and conventional type 1 dendritic cells. IBM myofibers were characterized by either upregulation of cell stress markers featuring GADD45A and NORAD or protein degradation markers including RNF7 associated with p62 aggregates. GADD45A upregulation was preferentially seen in type 2A myofibers associated with severe tissue inflammation. We also noted IBM-specific upregulation of ACHE encoding acetylcholinesterase, which can be regulated by NORAD activity and result in functional denervation of myofibers. Our results provide promising insights into possible mechanisms of myofiber degeneration in IBM and suggest a selective type 2 fiber vulnerability linked to genomic stress and denervation pathways., (© 2024. The Author(s).)
- Published
- 2024
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24. A Panoramic View of Cell Population Dynamics in Mammalian Aging.
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Zhang Z, Schaefer C, Jiang W, Lu Z, Lee J, Sziraki A, Abdulraouf A, Wick B, Haeussler M, Li Z, Molla G, Satija R, Zhou W, and Cao J
- Abstract
To elucidate the aging-associated cellular population dynamics throughout the body, here we present PanSci, a single-cell transcriptome atlas profiling over 20 million cells from 623 mouse tissue samples, encompassing a range of organs across different life stages, sexes, and genotypes. This comprehensive dataset allowed us to identify more than 3,000 unique cellular states and catalog over 200 distinct aging-associated cell populations experiencing significant depletion or expansion. Our panoramic analysis uncovered temporally structured, organ- and lineage-specific shifts of cellular dynamics during lifespan progression. Moreover, we investigated aging-associated alterations in immune cell populations, revealing both widespread shifts and organ-specific changes. We further explored the regulatory roles of the immune system on aging and pinpointed specific age-related cell population expansions that are lymphocyte-dependent. The breadth and depth of our 'cell-omics' methodology not only enhance our comprehension of cellular aging but also lay the groundwork for exploring the complex regulatory networks among varied cell types in the context of aging and aging-associated diseases., Competing Interests: Competing interests: In the past 3 years, R.S. has received compensation from Bristol-Myers Squibb, ImmunAI, Resolve Biosciences, Nanostring, 10x Genomics, Neptune Bio, and the NYC Pandemic Response Lab. R.S. is a co-founder and equity holder of Neptune Bio.
- Published
- 2024
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25. The UCSC Genome Browser database: 2024 update.
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Raney BJ, Barber GP, Benet-Pagès A, Casper J, Clawson H, Cline MS, Diekhans M, Fischer C, Navarro Gonzalez J, Hickey G, Hinrichs AS, Kuhn RM, Lee BT, Lee CM, Le Mercier P, Miga KH, Nassar LR, Nejad P, Paten B, Perez G, Schmelter D, Speir ML, Wick BD, Zweig AS, Haussler D, Kent WJ, and Haeussler M
- Subjects
- Animals, Humans, Mice, Genome, Human, Genome, Viral, Internet, Molecular Sequence Annotation, Software, Databases, Genetic, Genomics, RNA, Viral
- Abstract
The UCSC Genome Browser (https://genome.ucsc.edu) is a web-based genomic visualization and analysis tool that serves data to over 7,000 distinct users per day worldwide. It provides annotation data on thousands of genome assemblies, ranging from human to SARS-CoV2. This year, we have introduced new data from the Human Pangenome Reference Consortium and on viral genomes including SARS-CoV2. We have added 1,200 new genomes to our GenArk genome system, increasing the overall diversity of our genomic representation. We have added support for nine new user-contributed track hubs to our public hub system. Additionally, we have released 29 new tracks on the human genome and 11 new tracks on the mouse genome. Collectively, these new features expand both the breadth and depth of the genomic knowledge that we share publicly with users worldwide., (© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.)
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- 2024
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26. Identification of constrained sequence elements across 239 primate genomes.
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Kuderna LFK, Ulirsch JC, Rashid S, Ameen M, Sundaram L, Hickey G, Cox AJ, Gao H, Kumar A, Aguet F, Christmas MJ, Clawson H, Haeussler M, Janiak MC, Kuhlwilm M, Orkin JD, Bataillon T, Manu S, Valenzuela A, Bergman J, Rouselle M, Silva FE, Agueda L, Blanc J, Gut M, de Vries D, Goodhead I, Harris RA, Raveendran M, Jensen A, Chuma IS, Horvath JE, Hvilsom C, Juan D, Frandsen P, Schraiber JG, de Melo FR, Bertuol F, Byrne H, Sampaio I, Farias I, Valsecchi J, Messias M, da Silva MNF, Trivedi M, Rossi R, Hrbek T, Andriaholinirina N, Rabarivola CJ, Zaramody A, Jolly CJ, Phillips-Conroy J, Wilkerson G, Abee C, Simmons JH, Fernandez-Duque E, Kanthaswamy S, Shiferaw F, Wu D, Zhou L, Shao Y, Zhang G, Keyyu JD, Knauf S, Le MD, Lizano E, Merker S, Navarro A, Nadler T, Khor CC, Lee J, Tan P, Lim WK, Kitchener AC, Zinner D, Gut I, Melin AD, Guschanski K, Schierup MH, Beck RMD, Karakikes I, Wang KC, Umapathy G, Roos C, Boubli JP, Siepel A, Kundaje A, Paten B, Lindblad-Toh K, Rogers J, Marques Bonet T, and Farh KK
- Subjects
- Animals, Female, Humans, Pregnancy, Deoxyribonuclease I metabolism, DNA genetics, DNA metabolism, Mammals classification, Mammals genetics, Placenta, Regulatory Sequences, Nucleic Acid genetics, Reproducibility of Results, Transcription Factors metabolism, Proteins genetics, Gene Expression Regulation genetics, Conserved Sequence genetics, Evolution, Molecular, Genome genetics, Primates classification, Primates genetics
- Abstract
Noncoding DNA is central to our understanding of human gene regulation and complex diseases
1,2 , and measuring the evolutionary sequence constraint can establish the functional relevance of putative regulatory elements in the human genome3-9 . Identifying the genomic elements that have become constrained specifically in primates has been hampered by the faster evolution of noncoding DNA compared to protein-coding DNA10 , the relatively short timescales separating primate species11 , and the previously limited availability of whole-genome sequences12 . Here we construct a whole-genome alignment of 239 species, representing nearly half of all extant species in the primate order. Using this resource, we identified human regulatory elements that are under selective constraint across primates and other mammals at a 5% false discovery rate. We detected 111,318 DNase I hypersensitivity sites and 267,410 transcription factor binding sites that are constrained specifically in primates but not across other placental mammals and validate their cis-regulatory effects on gene expression. These regulatory elements are enriched for human genetic variants that affect gene expression and complex traits and diseases. Our results highlight the important role of recent evolution in regulatory sequence elements differentiating primates, including humans, from other placental mammals., (© 2023. The Author(s).)- Published
- 2024
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27. GenArk: towards a million UCSC genome browsers.
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Clawson H, Lee BT, Raney BJ, Barber GP, Casper J, Diekhans M, Fischer C, Gonzalez JN, Hinrichs AS, Lee CM, Nassar LR, Perez G, Wick B, Schmelter D, Speir ML, Armstrong J, Zweig AS, Kuhn RM, Kirilenko BM, Hiller M, Haussler D, Kent WJ, and Haeussler M
- Subjects
- Genomics, Archives, Nucleic Acid Amplification Techniques, Databases, Genetic, Internet, Software, Genome
- Abstract
Interactive graphical genome browsers are essential tools in genomics, but they do not contain all the recent genome assemblies. We create Genome Archive (GenArk) collection of UCSC Genome Browsers from NCBI assemblies. Built on our established track hub system, this enables fast visualization of annotations. Assemblies come with gene models, repeat masks, BLAT, and in silico PCR. Users can add annotations via track hubs and custom tracks. We can bulk-import third-party resources, demonstrated with TOGA and Ensembl gene models for hundreds of assemblies.Three thousand two hundred sixty-nine GenArk assemblies are listed at https://hgdownload.soe.ucsc.edu/hubs/ and can be searched for on the Genome Browser gateway page., (© 2023. BioMed Central Ltd., part of Springer Nature.)
- Published
- 2023
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28. Single cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism.
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Perez Y, Velmeshev D, Wang L, White M, Siebert C, Baltazar J, Dutton NG, Wang S, Haeussler M, Chamberlain S, and Kriegstein A
- Abstract
Duplication 15q (dup15q) syndrome is the most common genetic cause of autism spectrum disorder (ASD). Due to a higher genetic and phenotypic homogeneity compared to idiopathic autism, dup15q syndrome provides a well-defined setting to investigate ASD mechanisms. Previous bulk gene expression studies identified shared molecular changes in ASD. However, how cell type specific changes compare across different autism subtypes and how they change during development is largely unknown. In this study, we used single cell and single nucleus mRNA sequencing of dup15q cortical organoids from patient iPSCs, as well as post-mortem patient brain samples. We find cell-type specific dysregulated programs that underlie dup15q pathogenesis, which we validate by spatial resolved transcriptomics using brain tissue samples. We find degraded identity and vulnerability of deep-layer neurons in fetal stage organoids and highlight increased molecular burden of postmortem upper-layer neurons implicated in synaptic signaling, a finding shared between idiopathic ASD and dup15q syndrome. Gene co-expression network analysis of organoid and postmortem excitatory neurons uncovers modules enriched with autism risk genes. Organoid developmental modules were involved in transcription regulation via chromatin remodeling, while postmortem modules were associated with synaptic transmission and plasticity. The findings reveal a shifting landscape of ASD cellular vulnerability during brain development.
- Published
- 2023
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29. A Meta-Atlas of the Developing Human Cortex Identifies Modules Driving Cell Subtype Specification.
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Nano PR, Fazzari E, Azizad D, Nguyen CV, Wang S, Kan RL, Wick B, Haeussler M, and Bhaduri A
- Abstract
Human brain development requires the generation of hundreds of diverse cell types, a process targeted by recent single-cell transcriptomic profiling efforts. Through a meta-analysis of seven of these published datasets, we have generated 225 meta-modules - gene co-expression networks that can describe mechanisms underlying cortical development. Several meta-modules have potential roles in both establishing and refining cortical cell type identities, and we validated their spatiotemporal expression in primary human cortical tissues. These include meta-module 20, associated with FEZF2+ deep layer neurons. Half of meta-module 20 genes are putative FEZF2 targets, including TSHZ3, a transcription factor associated with neurodevelopmental disorders. Human cortical organoid experiments validated that both factors are necessary for deep layer neuron specification. Importantly, subtle manipulations of these factors drive slight changes in meta-module activity that cascade into strong differences in cell fate - demonstrating how of our meta-atlas can engender further mechanistic analyses of cortical fate specification.
- Published
- 2023
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30. Spatial epigenome-transcriptome co-profiling of mammalian tissues.
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Zhang D, Deng Y, Kukanja P, Agirre E, Bartosovic M, Dong M, Ma C, Ma S, Su G, Bao S, Liu Y, Xiao Y, Rosoklija GB, Dwork AJ, Mann JJ, Leong KW, Boldrini M, Wang L, Haeussler M, Raphael BJ, Kluger Y, Castelo-Branco G, and Fan R
- Subjects
- Animals, Humans, Mice, Epigenesis, Genetic, Epigenomics, Gene Expression Profiling, Gene Expression Regulation, Histones chemistry, Histones metabolism, Single-Cell Analysis, Organ Specificity, Brain embryology, Brain metabolism, Aging genetics, Chromatin genetics, Chromatin metabolism, Epigenome, Mammals genetics, Transcriptome
- Abstract
Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics, are becoming powerful tools for profiling of cellular states in the tissue context
1-5 . However, current methods capture only one layer of omics information at a time, precluding the possibility of examining the mechanistic relationship across the central dogma of molecular biology. Here, we present two technologies for spatially resolved, genome-wide, joint profiling of the epigenome and transcriptome by cosequencing chromatin accessibility and gene expression, or histone modifications (H3K27me3, H3K27ac or H3K4me3) and gene expression on the same tissue section at near-single-cell resolution. These were applied to embryonic and juvenile mouse brain, as well as adult human brain, to map how epigenetic mechanisms control transcriptional phenotype and cell dynamics in tissue. Although highly concordant tissue features were identified by either spatial epigenome or spatial transcriptome we also observed distinct patterns, suggesting their differential roles in defining cell states. Linking epigenome to transcriptome pixel by pixel allows the uncovering of new insights in spatial epigenetic priming, differentiation and gene regulation within the tissue architecture. These technologies are of great interest in life science and biomedical research., (© 2023. The Author(s).)- Published
- 2023
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31. The UCSC Genome Browser database: 2023 update.
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Nassar LR, Barber GP, Benet-Pagès A, Casper J, Clawson H, Diekhans M, Fischer C, Gonzalez JN, Hinrichs AS, Lee BT, Lee CM, Muthuraman P, Nguy B, Pereira T, Nejad P, Perez G, Raney BJ, Schmelter D, Speir ML, Wick BD, Zweig AS, Haussler D, Kuhn RM, Haeussler M, and Kent WJ
- Subjects
- Humans, COVID-19 epidemiology, COVID-19 genetics, Internet, Phylogeny, SARS-CoV-2 genetics, Software, Web Browser, Databases, Genetic, Genomics methods
- Abstract
The UCSC Genome Browser (https://genome.ucsc.edu) is an omics data consolidator, graphical viewer, and general bioinformatics resource that continues to serve the community as it enters its 23rd year. This year has seen an emphasis in clinical data, with new tracks and an expanded Recommended Track Sets feature on hg38 as well as the addition of a single cell track group. SARS-CoV-2 continues to remain a focus, with regular annotation updates to the browser and continued curation of our phylogenetic sequence placing tool, hgPhyloPlace, whose tree has now reached over 12M sequences. Our GenArk resource has also grown, offering over 2500 hubs and a system for users to request any absent assemblies. We have expanded our bigBarChart display type and created new ways to visualize data via bigRmsk and dynseq display. Displaying custom annotations is now easier due to our chromAlias system which eliminates the requirement for renaming sequence names to the UCSC standard. Users involved in data generation may also be interested in our new tools and trackDb settings which facilitate the creation and display of their custom annotations., (© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.)
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- 2023
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32. The dynseq browser track shows context-specific features at nucleotide resolution.
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Nair S, Barrett A, Li D, Raney BJ, Lee BT, Kerpedjiev P, Ramalingam V, Pampari A, Lekschas F, Wang T, Haeussler M, and Kundaje A
- Subjects
- Databases, Genetic, Internet, Web Browser, Nucleotides, Software
- Published
- 2022
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- View/download PDF
33. Cross-regional homeostatic and reactive glial signatures in multiple sclerosis.
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Trobisch T, Zulji A, Stevens NA, Schwarz S, Wischnewski S, Öztürk M, Perales-Patón J, Haeussler M, Saez-Rodriguez J, Velmeshev D, and Schirmer L
- Subjects
- Astrocytes pathology, Humans, Neuroglia pathology, Oligodendroglia metabolism, RNA metabolism, Multiple Sclerosis pathology, White Matter pathology
- Abstract
Multiple sclerosis (MS) is a multifocal and progressive inflammatory disease of the central nervous system (CNS). However, the compartmentalized pathology of the disease affecting various anatomical regions including gray and white matter and lack of appropriate disease models impede understanding of the disease. Utilizing single-nucleus RNA-sequencing and multiplex spatial RNA mapping, we generated an integrated transcriptomic map comprising leukocortical, cerebellar and spinal cord areas in normal and MS tissues that captures regional subtype diversity of various cell types with an emphasis on astrocytes and oligodendrocytes. While we found strong cross-regional diversity among glial subtypes in control tissue, regional signatures become more obscure in MS. This suggests that patterns of transcriptomic changes in MS are shared across regions and converge on specific pathways, especially those regulating cellular stress and immune activation. In addition, we found evidence that a subtype of white matter oligodendrocytes appearing across all three CNS regions adopt pro-remyelinating gene signatures in MS. In summary, our data suggest that cross-regional transcriptomic glial signatures overlap in MS, with different reactive glial cell types capable of either exacerbating or ameliorating pathology., (© 2022. The Author(s).)
- Published
- 2022
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34. Ensembles of endothelial and mural cells promote angiogenesis in prenatal human brain.
- Author
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Crouch EE, Bhaduri A, Andrews MG, Cebrian-Silla A, Diafos LN, Birrueta JO, Wedderburn-Pugh K, Valenzuela EJ, Bennett NK, Eze UC, Sandoval-Espinosa C, Chen J, Mora C, Ross JM, Howard CE, Gonzalez-Granero S, Lozano JF, Vento M, Haeussler M, Paredes MF, Nakamura K, Garcia-Verdugo JM, Alvarez-Buylla A, Kriegstein AR, and Huang EJ
- Subjects
- Brain, Collagen, Humans, Laminin, Midkine, Neovascularization, Pathologic pathology, Pericytes, Endothelial Cells, Neovascularization, Physiologic physiology
- Abstract
Interactions between angiogenesis and neurogenesis regulate embryonic brain development. However, a comprehensive understanding of the stages of vascular cell maturation is lacking, especially in the prenatal human brain. Using fluorescence-activated cell sorting, single-cell transcriptomics, and histological and ultrastructural analyses, we show that an ensemble of endothelial and mural cell subtypes tile the brain vasculature during the second trimester. These vascular cells follow distinct developmental trajectories and utilize diverse signaling mechanisms, including collagen, laminin, and midkine, to facilitate cell-cell communication and maturation. Interestingly, our results reveal that tip cells, a subtype of endothelial cells, are highly enriched near the ventricular zone, the site of active neurogenesis. Consistent with these observations, prenatal vascular cells transplanted into cortical organoids exhibit restricted lineage potential that favors tip cells, promotes neurogenesis, and reduces cellular stress. Together, our results uncover important mechanisms into vascular maturation during this critical period of human brain development., Competing Interests: Author contributions E.E.C. and E.J.H. conceived the project and designed the experiments. E.E.C. performed immunohistochemistry and quantification of blood vessel density, FACS experiments, 2D culture experiments, and organoid transplants. A.C.-S., S.G.-G., J.M.G.-V., and A.A.-B. performed and analyzed TEM data. A.B., L.N.D., J.O.B., C.E.H., and C.S.-E. performed bioinformatics. A.B. and U.C.E. performed RNA velocity analysis. M.G.A. and J.M.R. performed organoid experiments and L.N.D. and K.W-P. analyzed the results with supervision from E.E.C., J.C., and L.N.D. performed FACS experiments and E.J.V. performed mitochondrial quantifications. N.K.B. and K.N. performed and analyzed the Seahorse experiments. C.M., J.F.L., and M.V. contributed to the collection and preparation of human tissues. M.H. designed the web browser. M.F.P. and A.R.K. contributed reagents and expertise. E.E.C. and E.J.H. wrote the manuscript with inputs from all authors. Declaration of interests A.R.K. and A.A-B. are founding members of Neurona Therapeutics., (Published by Elsevier Inc.)
- Published
- 2022
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35. Variant interpretation: UCSC Genome Browser Recommended Track Sets.
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Benet-Pagès A, Rosenbloom KR, Nassar LR, Lee CM, Raney BJ, Clawson H, Schmelter D, Casper J, Gonzalez JN, Perez G, Lee BT, Zweig AS, Kent WJ, Haeussler M, and Kuhn RM
- Subjects
- DNA Copy Number Variations, Genome, Human genetics, Genomics, Humans, Internet, Databases, Genetic, Software
- Abstract
The UCSC Genome Browser has been an important tool for genomics and clinical genetics since the sequence of the human genome was first released in 2000. As it has grown in scope to display more types of data it has also grown more complicated. The data, which are dispersed at many locations worldwide, are collected into one view on the Browser, where the graphical interface presents the data in one location. This supports the expertise of the researcher to interpret variants in the genome. Because the analysis of single nucleotide variants and copy number variants require interpretation of data at very different genomic scales, different data resources are required. We present here several Recommended Track Sets designed to facilitate the interpretation of variants in the clinic, offering quick access to datasets relevant to the appropriate scale., (© 2022 Wiley Periodicals LLC.)
- Published
- 2022
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36. Quality of Life After Deep Brain Stimulation of Pediatric Patients with Dyskinetic Cerebral Palsy: A Prospective, Single-Arm, Multicenter Study with a Subsequent Randomized Double-Blind Crossover (STIM-CP).
- Author
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Koy A, Kühn AA, Huebl J, Schneider GH, van Riesen AK, Eckenweiler M, Rensing-Zimmermann C, Coenen VA, Krauss JK, Saryyeva A, Hartmann H, Haeussler M, Volkmann J, Matthies C, Horn A, Schnitzler A, Vesper J, Gharabaghi A, Weiss D, Bevot A, Marks W, Pomykal A, Monbaliu E, Borck G, Mueller J, Prinz-Langenohl R, Dembek T, Visser-Vandewalle V, Wirths J, Schiller P, Hellmich M, and Timmermann L
- Subjects
- Adolescent, Canada, Child, Globus Pallidus, Humans, Prospective Studies, Quality of Life, Treatment Outcome, Cerebral Palsy therapy, Deep Brain Stimulation methods, Dystonia, Dystonic Disorders
- Abstract
Background: Patients with dyskinetic cerebral palsy are often severely impaired with limited treatment options. The effects of deep brain stimulation (DBS) are less pronounced than those in inherited dystonia but can be associated with favorable quality of life outcomes even in patients without changes in dystonia severity., Objective: The aim is to assess DBS effects in pediatric patients with pharmacorefractory dyskinetic cerebral palsy with focus on quality of life., Methods: The method used is a prospective, single-arm, multicenter study. The primary endpoint is improvement in quality of life (CPCHILD [Caregiver Priorities & Child Health Index of Life with Disabilities]) from baseline to 12 months under therapeutic stimulation. The main key secondary outcomes are changes in Burke-Fahn-Marsden Dystonia Rating Scale, Dyskinesia Impairment Scale, Gross Motor Function Measure-66, Canadian Occupational Performance Measure (COPM), and Short-Form (SF)-36. After 12 months, patients were randomly assigned to a blinded crossover to receive active or sham stimulation for 24 hours each. Severity of dystonia and chorea were blindly rated. Safety was assessed throughout. The trial was registered at ClinicalTrials.gov, number NCT02097693., Results: Sixteen patients (age: 13.4 ± 2.9 years) were recruited by seven clinical sites. Primary outcome at 12-month follow-up is as follows: mean CPCHILD increased by 4.2 ± 10.4 points (95% CI [confidence interval] -1.3 to 9.7; P = 0.125); among secondary outcomes: improvement in COPM performance measure of 1.1 ± 1.5 points (95% CI 0.2 to 1.9; P = 0.02) and in the SF-36 physical health component by 5.1 ± 6.2 points (95% CI 0.7 to 9.6; P = 0.028). Otherwise, there are no significant changes., Conclusion: Evidence to recommend DBS as routine treatment to improve quality of life in pediatric patients with dyskinetic cerebral palsy is not yet sufficient. Extended follow-up in larger cohorts will determine the impact of DBS further to guide treatment decisions in these often severely disabled patients. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society., (© 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.)
- Published
- 2022
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37. The UCSC Genome Browser database: 2022 update.
- Author
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Lee BT, Barber GP, Benet-Pagès A, Casper J, Clawson H, Diekhans M, Fischer C, Gonzalez JN, Hinrichs AS, Lee CM, Muthuraman P, Nassar LR, Nguy B, Pereira T, Perez G, Raney BJ, Rosenbloom KR, Schmelter D, Speir ML, Wick BD, Zweig AS, Haussler D, Kuhn RM, Haeussler M, and Kent WJ
- Subjects
- Animals, Genome, Human, Humans, Phylogeny, Polymerase Chain Reaction, SARS-CoV-2 genetics, User-Computer Interface, Exome Sequencing, Databases, Genetic, Web Browser
- Abstract
The UCSC Genome Browser, https://genome.ucsc.edu, is a graphical viewer for exploring genome annotations. The website provides integrated tools for visualizing, comparing, analyzing, and sharing both publicly available and user-generated genomic datasets. Data highlights this year include a collection of easily accessible public hub assemblies on new organisms, now featuring BLAT alignment and PCR capabilities, and new and updated clinical tracks (gnomAD, DECIPHER, CADD, REVEL). We introduced a new Track Sets feature and enhanced variant displays to aid in the interpretation of clinical data. We also added a tool to rapidly place new SARS-CoV-2 genomes in a global phylogenetic tree enabling researchers to view the context of emerging mutations in our SARS-CoV-2 Genome Browser. Other new software focuses on usability features, including more informative mouseover displays and new fonts., (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Published
- 2022
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38. UCSC Cell Browser: visualize your single-cell data.
- Author
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Speir ML, Bhaduri A, Markov NS, Moreno P, Nowakowski TJ, Papatheodorou I, Pollen AA, Raney BJ, Seninge L, Kent WJ, and Haeussler M
- Subjects
- Databases, Genetic, Metadata, Genomics, Software
- Abstract
Summary: As the use of single-cell technologies has grown, so has the need for tools to explore these large, complicated datasets. The UCSC Cell Browser is a tool that allows scientists to visualize gene expression and metadata annotation distribution throughout a single-cell dataset or multiple datasets., Availability and Implementation: We provide the UCSC Cell Browser as a free website where scientists can explore a growing collection of single-cell datasets and a freely available python package for scientists to create stable, self-contained visualizations for their own single-cell datasets. Learn more at https://cells.ucsc.edu., Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author(s) 2021. Published by Oxford University Press.)
- Published
- 2021
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39. Human microglia states are conserved across experimental models and regulate neural stem cell responses in chimeric organoids.
- Author
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Popova G, Soliman SS, Kim CN, Keefe MG, Hennick KM, Jain S, Li T, Tejera D, Shin D, Chhun BB, McGinnis CS, Speir M, Gartner ZJ, Mehta SB, Haeussler M, Hengen KB, Ransohoff RR, Piao X, and Nowakowski TJ
- Subjects
- Brain, Cell Differentiation, Humans, Microglia, Models, Theoretical, Organoids, Induced Pluripotent Stem Cells, Neural Stem Cells
- Abstract
Microglia are resident macrophages in the brain that emerge in early development and respond to the local environment by altering their molecular and phenotypic states. Fundamental questions about microglia diversity and function during development remain unanswered because we lack experimental strategies to interrogate their interactions with other cell types and responses to perturbations ex vivo. We compared human microglia states across culture models, including cultured primary and pluripotent stem cell-derived microglia. We developed a "report card" of gene expression signatures across these distinct models to facilitate characterization of their responses across experimental models, perturbations, and disease conditions. Xenotransplantation of human microglia into cerebral organoids allowed us to characterize key transcriptional programs of developing microglia in vitro and reveal that microglia induce transcriptional changes in neural stem cells and decrease interferon signaling response genes. Microglia additionally accelerate the emergence of synchronized oscillatory network activity in brain organoids by modulating synaptic density., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2021 Elsevier Inc. All rights reserved.)
- Published
- 2021
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40. Single-cell epigenomics reveals mechanisms of human cortical development.
- Author
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Ziffra RS, Kim CN, Ross JM, Wilfert A, Turner TN, Haeussler M, Casella AM, Przytycki PF, Keough KC, Shin D, Bogdanoff D, Kreimer A, Pollard KS, Ament SA, Eichler EE, Ahituv N, and Nowakowski TJ
- Subjects
- Atlases as Topic, Brain growth & development, Brain metabolism, Chromatin chemistry, Chromatin genetics, Chromatin metabolism, Disease Susceptibility, Enhancer Elements, Genetic, Humans, Neurons cytology, Neurons metabolism, Organoids cytology, Tretinoin metabolism, Brain cytology, Epigenomics, Neurogenesis, Single-Cell Analysis
- Abstract
During mammalian development, differences in chromatin state coincide with cellular differentiation and reflect changes in the gene regulatory landscape
1 . In the developing brain, cell fate specification and topographic identity are important for defining cell identity2 and confer selective vulnerabilities to neurodevelopmental disorders3 . Here, to identify cell-type-specific chromatin accessibility patterns in the developing human brain, we used a single-cell assay for transposase accessibility by sequencing (scATAC-seq) in primary tissue samples from the human forebrain. We applied unbiased analyses to identify genomic loci that undergo extensive cell-type- and brain-region-specific changes in accessibility during neurogenesis, and an integrative analysis to predict cell-type-specific candidate regulatory elements. We found that cerebral organoids recapitulate most putative cell-type-specific enhancer accessibility patterns but lack many cell-type-specific open chromatin regions that are found in vivo. Systematic comparison of chromatin accessibility across brain regions revealed unexpected diversity among neural progenitor cells in the cerebral cortex and implicated retinoic acid signalling in the specification of neuronal lineage identity in the prefrontal cortex. Together, our results reveal the important contribution of chromatin state to the emerging patterns of cell type diversity and cell fate specification and provide a blueprint for evaluating the fidelity and robustness of cerebral organoids as a model for cortical development., (© 2021. The Author(s).)- Published
- 2021
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41. A new SARS-CoV-2 lineage that shares mutations with known Variants of Concern is rejected by automated sequence repository quality control.
- Author
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Thornlow B, Hinrichs AS, Jain M, Dhillon N, La S, Kapp JD, Anigbogu I, Cassatt-Johnstone M, McBroome J, Haeussler M, Turakhia Y, Chang T, Olsen HE, Sanford J, Stone M, Vaske O, Bjork I, Akeson M, Shapiro B, Haussler D, Kilpatrick AM, and Corbett-Detig R
- Abstract
We report a SARS-CoV-2 lineage that shares N501Y, P681H, and other mutations with known variants of concern, such as B.1.1.7. This lineage, which we refer to as B.1.x (COG-UK sometimes references similar samples as B.1.324.1), is present in at least 20 states across the USA and in at least six countries. However, a large deletion causes the sequence to be automatically rejected from repositories, suggesting that the frequency of this new lineage is underestimated using public data. Recent dynamics based on 339 samples obtained in Santa Cruz County, CA, USA suggest that B.1.x may be increasing in frequency at a rate similar to that of B.1.1.7 in Southern California. At present the functional differences between this variant B.1.x and other circulating SARS-CoV-2 variants are unknown, and further studies on secondary attack rates, viral loads, immune evasion and/or disease severity are needed to determine if it poses a public health concern. Nonetheless, given what is known from well-studied circulating variants of concern, it seems unlikely that the lineage could pose larger concerns for human health than many already globally distributed lineages. Our work highlights a need for rapid turnaround time from sequence generation to submission and improved sequence quality control that removes submission bias. We identify promising paths toward this goal.
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- 2021
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42. User-friendly, scalable tools and workflows for single-cell RNA-seq analysis.
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Moreno P, Huang N, Manning JR, Mohammed S, Solovyev A, Polanski K, Bacon W, Chazarra R, Talavera-López C, Doyle MA, Marnier G, Grüning B, Rasche H, George N, Fexova SK, Alibi M, Miao Z, Perez-Riverol Y, Haeussler M, Brazma A, Teichmann S, Meyer KB, and Papatheodorou I
- Subjects
- Software, Sequence Analysis, RNA methods, Single-Cell Analysis methods, Workflow
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- 2021
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43. Single-cell atlas of early human brain development highlights heterogeneity of human neuroepithelial cells and early radial glia.
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Eze UC, Bhaduri A, Haeussler M, Nowakowski TJ, and Kriegstein AR
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- Animals, Cerebral Cortex cytology, Humans, Single-Cell Analysis, Cerebral Cortex embryology, Ependymoglial Cells cytology, Neural Stem Cells cytology, Neuroepithelial Cells cytology, Neurogenesis
- Abstract
The human cortex comprises diverse cell types that emerge from an initially uniform neuroepithelium that gives rise to radial glia, the neural stem cells of the cortex. To characterize the earliest stages of human brain development, we performed single-cell RNA-sequencing across regions of the developing human brain, including the telencephalon, diencephalon, midbrain, hindbrain and cerebellum. We identify nine progenitor populations physically proximal to the telencephalon, suggesting more heterogeneity than previously described, including a highly prevalent mesenchymal-like population that disappears once neurogenesis begins. Comparison of human and mouse progenitor populations at corresponding stages identifies two progenitor clusters that are enriched in the early stages of human cortical development. We also find that organoid systems display low fidelity to neuroepithelial and early radial glia cell types, but improve as neurogenesis progresses. Overall, we provide a comprehensive molecular and spatial atlas of early stages of human brain and cortical development.
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- 2021
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44. Share pandemic sequences openly and fast.
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Haussler D, Haeussler M, Hinrichs A, Corbett-Detig R, and Bjork I
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- Animals, Birds virology, COVID-19 epidemiology, COVID-19 prevention & control, COVID-19 virology, Humans, Influenza in Birds virology, Ownership legislation & jurisprudence, Preprints as Topic, Sequence Analysis, DNA, Time Factors, Databases, Genetic legislation & jurisprudence, Genome, Viral genetics, Information Dissemination legislation & jurisprudence, SARS-CoV-2 genetics
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- 2021
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45. Modeling Human TBX5 Haploinsufficiency Predicts Regulatory Networks for Congenital Heart Disease.
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Kathiriya IS, Rao KS, Iacono G, Devine WP, Blair AP, Hota SK, Lai MH, Garay BI, Thomas R, Gong HZ, Wasson LK, Goyal P, Sukonnik T, Hu KM, Akgun GA, Bernard LD, Akerberg BN, Gu F, Li K, Speir ML, Haeussler M, Pu WT, Stuart JM, Seidman CE, Seidman JG, Heyn H, and Bruneau BG
- Subjects
- Animals, Body Patterning genetics, Cell Differentiation, Gene Dosage, Heart Ventricles pathology, Humans, MEF2 Transcription Factors metabolism, Mice, Mutation genetics, Myocytes, Cardiac metabolism, Transcription, Genetic, Gene Regulatory Networks, Haploinsufficiency genetics, Heart Defects, Congenital genetics, Models, Biological, T-Box Domain Proteins genetics
- Abstract
Haploinsufficiency of transcriptional regulators causes human congenital heart disease (CHD); however, the underlying CHD gene regulatory network (GRN) imbalances are unknown. Here, we define transcriptional consequences of reduced dosage of the CHD transcription factor, TBX5, in individual cells during cardiomyocyte differentiation from human induced pluripotent stem cells (iPSCs). We discovered highly sensitive dysregulation of TBX5-dependent pathways-including lineage decisions and genes associated with heart development, cardiomyocyte function, and CHD genetics-in discrete subpopulations of cardiomyocytes. Spatial transcriptomic mapping revealed chamber-restricted expression for many TBX5-sensitive transcripts. GRN analysis indicated that cardiac network stability, including vulnerable CHD-linked nodes, is sensitive to TBX5 dosage. A GRN-predicted genetic interaction between Tbx5 and Mef2c, manifesting as ventricular septation defects, was validated in mice. These results demonstrate exquisite and diverse sensitivity to TBX5 dosage in heterogeneous subsets of iPSC-derived cardiomyocytes and predicts candidate GRNs for human CHDs, with implications for quantitative transcriptional regulation in disease., Competing Interests: Declaration of Interests B.G.B. is a cofounder and shareholder of Tenaya Therapeutics. None of the work presented here is related to the interests of Tenaya Therapeutics., (Copyright © 2020 Elsevier Inc. All rights reserved.)
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- 2021
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46. The UCSC Genome Browser database: 2021 update.
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Navarro Gonzalez J, Zweig AS, Speir ML, Schmelter D, Rosenbloom KR, Raney BJ, Powell CC, Nassar LR, Maulding ND, Lee CM, Lee BT, Hinrichs AS, Fyfe AC, Fernandes JD, Diekhans M, Clawson H, Casper J, Benet-Pagès A, Barber GP, Haussler D, Kuhn RM, Haeussler M, and Kent WJ
- Subjects
- Animals, COVID-19 epidemiology, COVID-19 virology, Data Curation methods, Epidemics, Humans, Internet, Mice, Molecular Sequence Annotation methods, SARS-CoV-2 physiology, Software, COVID-19 prevention & control, Computational Biology methods, Databases, Genetic, Genome genetics, Genomics methods, SARS-CoV-2 genetics
- Abstract
For more than two decades, the UCSC Genome Browser database (https://genome.ucsc.edu) has provided high-quality genomics data visualization and genome annotations to the research community. As the field of genomics grows and more data become available, new modes of display are required to accommodate new technologies. New features released this past year include a Hi-C heatmap display, a phased family trio display for VCF files, and various track visualization improvements. Striving to keep data up-to-date, new updates to gene annotations include GENCODE Genes, NCBI RefSeq Genes, and Ensembl Genes. New data tracks added for human and mouse genomes include the ENCODE registry of candidate cis-regulatory elements, promoters from the Eukaryotic Promoter Database, and NCBI RefSeq Select and Matched Annotation from NCBI and EMBL-EBI (MANE). Within weeks of learning about the outbreak of coronavirus, UCSC released a genome browser, with detailed annotation tracks, for the SARS-CoV-2 RNA reference assembly., (© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.)
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- 2021
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47. The UCSC SARS-CoV-2 Genome Browser.
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Fernandes JD, Hinrichs AS, Clawson H, Gonzalez JN, Lee BT, Nassar LR, Raney BJ, Rosenbloom KR, Nerli S, Rao AA, Schmelter D, Fyfe A, Maulding N, Zweig AS, Lowe TM, Ares M Jr, Corbet-Detig R, Kent WJ, Haussler D, and Haeussler M
- Subjects
- COVID-19, Coronavirus Infections virology, Databases, Genetic, Humans, Internet, Pandemics, Pneumonia, Viral virology, SARS-CoV-2, Betacoronavirus genetics, Genome, Viral genetics
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- 2020
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48. miR-103/107 regulates left-right asymmetry in zebrafish by modulating Kupffer's vesicle development and ciliogenesis.
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Heigwer J, Kutzner J, Haeussler M, Burkhalter MD, Draebing T, Juergensen L, Katus HA, Philipp M, Westhoff JH, and Hassel D
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- Animals, Body Patterning, Cell Line, Cilia genetics, Embryo, Nonmammalian abnormalities, Embryo, Nonmammalian metabolism, Heart embryology, Humans, Mesoderm embryology, Mesoderm metabolism, Zebrafish embryology, Gene Expression Regulation, Developmental, Zebrafish genetics
- Abstract
In zebrafish, cilia movement within the Kupffer's vesicle (KV) generates a fluid flow responsible for accumulating nodal signals exclusively in the left lateral plate mesoderm, thereby initiating left-right patterning (LRP). Defects in LRP cause devastating congenital disorders including congenital heart malformations due to organ mis-positioning. We identified the miR-103/107 family to be involved in regulating LRP. Depletion of miR-103/107 in zebrafish embryos resulted in malpositioned and malformed visceral organs and hearts due to disturbed LRP gene expression, indicating early defects in LRP. Additionally, loss of miR-103/107 affected KV morphogenesis and cilia formation without disturbing endoderm development. Human fibroblasts depleted of miR-103a/107 often failed to extend cilia or developed shorter cilia, indicating functional conservation between species. We identified arl6, araf and foxH1 as direct targets of miR-103/107 providing a mechanistic link to cilia development and nodal signal titration. We describe a new microRNA family controlling KV development and hence influencing establishment of internal organ asymmetry., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests., (Copyright © 2020 Elsevier Inc. All rights reserved.)
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- 2020
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49. AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature.
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Birgmeier J, Haeussler M, Deisseroth CA, Steinberg EH, Jagadeesh KA, Ratner AJ, Guturu H, Wenger AM, Diekhans ME, Stenson PD, Cooper DN, Ré C, Beggs AH, Bernstein JA, and Bejerano G
- Subjects
- Child, Genotype, Humans, Phenotype, Probability, Retrospective Studies, Exome
- Abstract
The diagnosis of Mendelian disorders requires labor-intensive literature research. Trained clinicians can spend hours looking for the right publication(s) supporting a single gene that best explains a patient's disease. AMELIE (Automatic Mendelian Literature Evaluation) greatly accelerates this process. AMELIE parses all 29 million PubMed abstracts and downloads and further parses hundreds of thousands of full-text articles in search of information supporting the causality and associated phenotypes of most published genetic variants. AMELIE then prioritizes patient candidate variants for their likelihood of explaining any patient's given set of phenotypes. Diagnosis of singleton patients (without relatives' exomes) is the most time-consuming scenario, and AMELIE ranked the causative gene at the very top for 66% of 215 diagnosed singleton Mendelian patients from the Deciphering Developmental Disorders project. Evaluating only the top 11 AMELIE-scored genes of 127 (median) candidate genes per patient resulted in a rapid diagnosis in more than 90% of cases. AMELIE-based evaluation of all cases was 3 to 19 times more efficient than hand-curated database-based approaches. We replicated these results on a retrospective cohort of clinical cases from Stanford Children's Health and the Manton Center for Orphan Disease Research. An analysis web portal with our most recent update, programmatic interface, and code is available at AMELIE.stanford.edu., (Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)
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- 2020
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50. The UCSC repeat browser allows discovery and visualization of evolutionary conflict across repeat families.
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Fernandes JD, Zamudio-Hurtado A, Clawson H, Kent WJ, Haussler D, Salama SR, and Haeussler M
- Abstract
Background: Nearly half the human genome consists of repeat elements, most of which are retrotransposons, and many of which play important biological roles. However repeat elements pose several unique challenges to current bioinformatic analyses and visualization tools, as short repeat sequences can map to multiple genomic loci resulting in their misclassification and misinterpretation. In fact, sequence data mapping to repeat elements are often discarded from analysis pipelines. Therefore, there is a continued need for standardized tools and techniques to interpret genomic data of repeats., Results: We present the UCSC Repeat Browser, which consists of a complete set of human repeat reference sequences derived from annotations made by the commonly used program RepeatMasker. The UCSC Repeat Browser also provides an alignment from the human genome to these references, uses it to map the standard human genome annotation tracks, and presents all of them as a comprehensive interface to facilitate work with repetitive elements. It also provides processed tracks of multiple publicly available datasets of particular interest to the repeat community, including ChIP-seq datasets for KRAB Zinc Finger Proteins (KZNFs) - a family of proteins known to bind and repress certain classes of repeats. We used the UCSC Repeat Browser in combination with these datasets, as well as RepeatMasker annotations in several non-human primates, to trace the independent trajectories of species-specific evolutionary battles between LINE 1 retroelements and their repressors. Furthermore, we document at https://repeatbrowser.ucsc.edu how researchers can map their own human genome annotations to these reference repeat sequences., Conclusions: The UCSC Repeat Browser allows easy and intuitive visualization of genomic data on consensus repeat elements, circumventing the problem of multi-mapping, in which sequencing reads of repeat elements map to multiple locations on the human genome. By developing a reference consensus, multiple datasets and annotation tracks can easily be overlaid to reveal complex evolutionary histories of repeats in a single interactive window. Specifically, we use this approach to retrace the history of several primate specific LINE-1 families across apes, and discover several species-specific routes of evolution that correlate with the emergence and binding of KZNFs., Competing Interests: Competing interestsThe authors declare that they have no competing interests., (© The Author(s) 2020.)
- Published
- 2020
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