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21 results on '"Tellez, Krissie"'

1. Protocol to electroporate DNA plasmids into Ciona robusta embryos at the 1-cell stage

Author

Jindal, Granton A, Lim, Fabian, Tellez, Krissie, Song, Benjamin P, Bantle, Alexis T, and Farley, Emma K

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, 1.1 Normal biological development and functioning, Generic health relevance, Animals, Electroporation, Plasmids, Embryo, Nonmammalian, DNA, Ciona, Developmental biology, Model Organisms, Molecular Biology
Abstract

Electroporation is a technique to introduce DNA constructs into cells using electric current. Here, we present a protocol to electroporate DNA plasmids into Ciona robusta embryos at the 1-cell stage. We describe steps for setting up and conducting electroporation. We then detail procedures for collecting, fixing, and mounting embryos and counting expression. This protocol can be used to study the expression of enhancers via reporter assays, manipulating cells using genes or modified genes such as dominant negatives, and genome editing. For complete details on the use and execution of this protocol, please refer to Song, et al.1.

Published
2024

2. Diverse logics and grammar encode notochord enhancers

Author

Song, Benjamin P, Ragsac, Michelle F, Tellez, Krissie, Jindal, Granton A, Grudzien, Jessica L, Le, Sophia H, and Farley, Emma K

Subjects
Biological Sciences, Genetics, Human Genome, 1.1 Normal biological development and functioning, Animals, Humans, Mice, Notochord, Ciona intestinalis, Regulatory Sequences, Nucleic Acid, T-Box Domain Proteins, Transcription Factors, Gene Expression Regulation, Developmental, Enhancer Elements, Genetic, Brachyury:T, CP: Developmental biology, CP: Molecular biology, Ciona, ETS, FoxA, MPRA, Zic, enhancer, enhancer grammar, enhancer logic, enhancer randomization, laminin, low-affinity, notochord, Biochemistry and Cell Biology, Medical Physiology, Biological sciences
Abstract

The notochord is a defining feature of all chordates. The transcription factors Zic and ETS regulate enhancer activity within the notochord. We conduct high-throughput screens of genomic elements within developing Ciona embryos to understand how Zic and ETS sites encode notochord activity. Our screen discovers an enhancer located near Lama, a gene critical for notochord development. Reversing the orientation of an ETS site within this enhancer abolishes expression, indicating that enhancer grammar is critical for notochord activity. Similarly organized clusters of Zic and ETS sites occur within mouse and human Lama1 introns. Within a Brachyury (Bra) enhancer, FoxA and Bra, in combination with Zic and ETS binding sites, are necessary and sufficient for notochord expression. This binding site logic also occurs within other Ciona and vertebrate Bra enhancers. Collectively, this study uncovers the importance of grammar within notochord enhancers and discovers signatures of enhancer logic and grammar conserved across chordates.

Published
2023

3. Single-cell transcriptome and accessible chromatin dynamics during endocrine pancreas development

Author

Duvall, Eliza, Benitez, Cecil M, Tellez, Krissie, Enge, Martin, Pauerstein, Philip T, Li, Lingyu, Baek, Songjoon, Quake, Stephen R, Smith, Jason P, Sheffield, Nathan C, Kim, Seung K, and Arda, H Efsun

Subjects
Biochemistry and Cell Biology, Genetics, Biological Sciences, Stem Cell Research - Nonembryonic - Non-Human, Cancer, Orphan Drug, Pancreatic Cancer, Rare Diseases, Human Genome, Digestive Diseases, Diabetes, Biotechnology, Stem Cell Research, 1.1 Normal biological development and functioning, Underpinning research, Generic health relevance, Metabolic and endocrine, Animals, Basic Helix-Loop-Helix Transcription Factors, Cell Differentiation, Cell Lineage, Chromatin, Gene Expression Regulation, Developmental, Islets of Langerhans, Mice, Nerve Tissue Proteins, Single-Cell Analysis, Transcriptome, ATAC-seq, Neurog3, pancreas, scRNA-seq
Abstract

Delineating gene regulatory networks that orchestrate cell-type specification is a continuing challenge for developmental biologists. Single-cell analyses offer opportunities to address these challenges and accelerate discovery of rare cell lineage relationships and mechanisms underlying hierarchical lineage decisions. Here, we describe the molecular analysis of mouse pancreatic endocrine cell differentiation using single-cell transcriptomics, chromatin accessibility assays coupled to genetic labeling, and cytometry-based cell purification. We uncover transcription factor networks that delineate β-, α-, and δ-cell lineages. Through genomic footprint analysis, we identify transcription factor-regulatory DNA interactions governing pancreatic cell development at unprecedented resolution. Our analysis suggests that the transcription factor Neurog3 may act as a pioneer transcription factor to specify the pancreatic endocrine lineage. These findings could improve protocols to generate replacement endocrine cells from renewable sources, like stem cells, for diabetes therapy.

Published
2022

4. Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris

Author

Schaum, Nicholas, Karkanias, Jim, Neff, Norma F, May, Andrew P, Quake, Stephen R, Wyss-Coray, Tony, Darmanis, Spyros, Batson, Joshua, Botvinnik, Olga, Chen, Michelle B, Chen, Steven, Green, Foad, Jones, Robert C, Maynard, Ashley, Penland, Lolita, Pisco, Angela Oliveira, Sit, Rene V, Stanley, Geoffrey M, Webber, James T, Zanini, Fabio, Baghel, Ankit S, Bakerman, Isaac, Bansal, Ishita, Berdnik, Daniela, Bilen, Biter, Brownfield, Douglas, Cain, Corey, Cho, Min, Cirolia, Giana, Conley, Stephanie D, Demers, Aaron, Demir, Kubilay, de Morree, Antoine, Divita, Tessa, du Bois, Haley, Dulgeroff, Laughing Bear Torrez, Ebadi, Hamid, Espinoza, F Hernán, Fish, Matt, Gan, Qiang, George, Benson M, Gillich, Astrid, Genetiano, Geraldine, Gu, Xueying, Gulati, Gunsagar S, Hang, Yan, Hosseinzadeh, Shayan, Huang, Albin, Iram, Tal, Isobe, Taichi, Ives, Feather, Kao, Kevin S, Karnam, Guruswamy, Kershner, Aaron M, Kiss, Bernhard M, Kong, William, Kumar, Maya E, Lam, Jonathan Y, Lee, Davis P, Lee, Song E, Li, Guang, Li, Qingyun, Liu, Ling, Lo, Annie, Lu, Wan-Jin, Manjunath, Anoop, May, Kaia L, May, Oliver L, McKay, Marina, Metzger, Ross J, Mignardi, Marco, Min, Dullei, Nabhan, Ahmad N, Ng, Katharine M, Noh, Joseph, Patkar, Rasika, Peng, Weng Chuan, Puccinelli, Robert, Rulifson, Eric J, Sikandar, Shaheen S, Sinha, Rahul, Szade, Krzysztof, Tan, Weilun, Tato, Cristina, Tellez, Krissie, Travaglini, Kyle J, Tropini, Carolina, Waldburger, Lucas, and van Weele, Linda J

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, 1.5 Resources and infrastructure (underpinning), Generic health relevance, Animals, Cell Biology, Endothelial Cells, Female, Flow Cytometry, Gene Expression Profiling, Male, Mice, Mice, Inbred C57BL, Microfluidics, Organ Specificity, Single-Cell Analysis, T-Lymphocytes, Transcription Factors, Transcriptome, Tabula Muris Consortium, Overall coordination, Logistical coordination, Organ collection and processing, Library preparation and sequencing, Computational data analysis, Cell type annotation, Writing group, Supplemental text writing group, Principal investigators, General Science & Technology
Abstract

Here we present a compendium of single-cell transcriptomic data from the model organism Mus musculus that comprises more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology, reveal gene expression in poorly characterized cell populations and enable the direct and controlled comparison of gene expression in cell types that are shared between tissues, such as T lymphocytes and endothelial cells from different anatomical locations. Two distinct technical approaches were used for most organs: one approach, microfluidic droplet-based 3'-end counting, enabled the survey of thousands of cells at relatively low coverage, whereas the other, full-length transcript analysis based on fluorescence-activated cell sorting, enabled the characterization of cell types with high sensitivity and coverage. The cumulative data provide the foundation for an atlas of transcriptomic cell biology.

Published
2018

7. RFX6 Maintains Gene Expression and Function of Adult Human Islet α-Cells

Author

Coykendall, Vy M.N., primary, Qian, Mollie F., additional, Tellez, Krissie, additional, Bautista, Austin, additional, Bevacqua, Romina J., additional, Gu, Xueying, additional, Hang, Yan, additional, Neukam, Martin, additional, Zhao, Weichen, additional, Chang, Charles, additional, MacDonald, Patrick E., additional, and Kim, Seung K., additional

Published
2023
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9. RFX6 Maintains Gene Expression and Function of Adult Human Islet α-Cells.

Author

Coykendall, Vy M.N., Qian, Mollie F., Tellez, Krissie, Bautista, Austin, Bevacqua, Romina J., Gu, Xueying, Hang, Yan, Neukam, Martin, Zhao, Weichen, Chang, Charles, MacDonald, Patrick E., and Kim, Seung K.

Subjects
GENE expression, RNA interference, SMALL interfering RNA, ENDOCRINE cells, ISLANDS of Langerhans, TRANSCRIPTION factors
Abstract

Mutations in the gene encoding the transcription factor regulatory factor X-box binding 6 (RFX6) are associated with human diabetes. Within pancreatic islets, RFX6 expression is most abundant in islet α-cells, and α-cell RFX6 expression is altered in diabetes. However, the roles of RFX6 in regulating gene expression, glucagon output, and other crucial human adult α-cell functions are not yet understood. We developed a method for selective genetic targeting of human α-cells and assessed RFX6 -dependent α-cell function. RFX6 suppression with RNA interference led to impaired α-cell exocytosis and dysregulated glucagon secretion in vitro and in vivo. By contrast, these phenotypes were not observed with RFX6 suppression across all islet cells. Transcriptomics in α-cells revealed RFX6 -dependent expression of genes governing nutrient sensing, hormone processing, and secretion, with some of these exclusively expressed in human α-cells. Mapping of RFX6 DNA-binding sites in primary human islet cells identified a subset of direct RFX6 target genes. Together, these data unveil RFX6-dependent genetic targets and mechanisms crucial for regulating adult human α-cell function. Article Highlights: RFX6 is expressed in all islet endocrine cell types and is dysregulated in multiple forms of diabetes, but its function has not yet been delineated in α-cells. We used specific targeting of shRNA-mediated suppression of RFX6 in primary human α-cells to unveil glucagon secretion phenotypes. RFX6 is required in adult human α-cells to maintain gene regulation and hallmark functions, including regulated glucagon secretion. RNA-sequencing and cleavage under targets and release using nuclease studies reveal distinct RFX6 genetic targets in adult human α- and β-cells. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Molecular hallmarks of heterochronic parabiosis at single-cell resolution

Author

Pálovics, Róbert, Keller, Andreas, Schaum, Nicholas, Tan, Weilun, Fehlmann, Tobias, Borja, Michael, Kern, Fabian, Bonanno, Liana, Calcuttawala, Kruti, Webber, James, McGeever, Aaron, Almanzar, Nicole, Antony, Jane, Baghel, Ankit S., Bakerman, Isaac, Bansal, Ishita, Barres, Ben A., Beachy, Philip A., Berdnik, Daniela, Bilen, Biter, Brownfield, Douglas, Cain, Corey, Chan, Charles K. F., Chen, Michelle B., Clarke, Michael F., Conley, Stephanie D., Demers, Aaron, Demir, Kubilay, de Morree, Antoine, Divita, Tessa, du Bois, Haley, Ebadi, Hamid, Espinoza, F. Hernán, Fish, Matt, Gan, Qiang, George, Benson M., Gillich, Astrid, Gòmez-Sjöberg, Rafael, Green, Foad, Genetiano, Geraldine, Gu, Xueying, Gulati, Gunsagar S., Hahn, Oliver, Haney, Michael Seamus, Hang, Yan, Harris, Lincoln, He, Mu, Hosseinzadeh, Shayan, Huang, Albin, Huang, Kerwyn Casey, Iram, Tal, Isobe, Taichi, Ives, Feather, Jones, Robert C., Kao, Kevin S., Karnam, Guruswamy, Kershner, Aaron M., Khoury, Nathalie, Kim, Seung K., Kiss, Bernhard M., Kong, William, Krasnow, Mark A., Kumar, Maya E., Kuo, Christin S., Lam, Jonathan, Lee, Davis P., Lee, Song E., Lehallier, Benoit, Leventhal, Olivia, Li, Guang, Li, Qingyun, Liu, Ling, Lo, Annie, Lu, Wan-Jin, Lugo-Fagundo, Maria F., Manjunath, Anoop, May, Andrew P., Maynard, Ashley, McKay, Marina, McNerney, M. Windy, Merrill, Bryan, Metzger, Ross J., Mignardi, Marco, Min, Dullei, Nabhan, Ahmad N., Ng, Katharine M., Nguyen, Patricia K., Noh, Joseph, Nusse, Roel, Patkar, Rasika, Peng, Weng Chuan, Penland, Lolita, Pollard, Katherine, Puccinelli, Robert, Qi, Zhen, Rando, Thomas A., Rulifson, Eric J., Segal, Joe M., Sikandar, Shaheen S., Sinha, Rahul, Sit, Rene V., Sonnenburg, Justin, Staehli, Daniel, Szade, Krzysztof, Tan, Michelle, Tato, Cristina, Tellez, Krissie, Torrez Dulgeroff, Laughing Bear, Travaglini, Kyle J., Tropini, Carolina, Tsui, Margaret, Waldburger, Lucas, Wang, Bruce M., van Weele, Linda J., Weinberg, Kenneth, Weissman, Irving L., Wosczyna, Michael N., Wu, Sean M., Xiang, Jinyi, Xue, Soso, Yamauchi, Kevin A., Yang, Andrew C., Yerra, Lakshmi P., Youngyunpipatkul, Justin, Yu, Brian, Zanini, Fabio, Zardeneta, Macy E., Zee, Alexander, Zhao, Chunyu, Zhang, Fan, Zhang, Hui, Zhang, Martin Jinye, Zhou, Lu, Zou, James, Luo, Jian, Pisco, Angela Oliveira, Karkanias, Jim, Neff, Norma F., Darmanis, Spyros, Quake, Stephen R., and Wyss-Coray, Tony

Subjects
Aging, Multidisciplinary, Parabiosis, Mesenchymal Stem Cells, Hematopoietic Stem Cells, Article, Organ Specificity/genetics, Mitochondria, Electron Transport, Electron Transport/genetics, Organ Specificity, Aging/genetics, Adipocytes, Hepatocytes, Rejuvenation, RNA-Seq, Single-Cell Analysis
Abstract

The ability to slow or reverse biological ageing would have major implications for mitigating disease risk and maintaining vitality1. Although an increasing number of interventions show promise for rejuvenation2, their effectiveness on disparate cell types across the body and the molecular pathways susceptible to rejuvenation remain largely unexplored. Here we performed single-cell RNA sequencing on 20 organs to reveal cell-type-specific responses to young and aged blood in heterochronic parabiosis. Adipose mesenchymal stromal cells, haematopoietic stem cells and hepatocytes are among those cell types that are especially responsive. On the pathway level, young blood invokes new gene sets in addition to reversing established ageing patterns, with the global rescue of genes encoding electron transport chain subunits pinpointing a prominent role of mitochondrial function in parabiosis-mediated rejuvenation. We observed an almost universal loss of gene expression with age that is largely mimicked by parabiosis: aged blood reduces global gene expression, and young blood restores it in select cell types. Together, these data lay the groundwork for a systemic understanding of the interplay between blood-borne factors and cellular integrity.

Published
2022
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12. Single-cell Transcriptome and Accessible Chromatin Dynamics During Endocrine Pancreas Development

Author

Duvall, Eliza, primary, Benitez, Cecil M., additional, Tellez, Krissie, additional, Enge, Martin, additional, Pauerstein, Philip T., additional, Li, Lingyu, additional, Baek, Songjoon, additional, Quake, Stephen R., additional, Smith, Jason P., additional, Sheffield, Nathan C., additional, Kim, Seung K., additional, and Arda, H. Efsun, additional

Published
2022
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14. Ageing hallmarks exhibit organ-specific temporal signatures

Author

Schaum, Nicholas, Lehallier, Benoit, Hahn, Oliver, Pálovics, Róbert, Hosseinzadeh, Shayan, Lee, Song E., Sit, Rene, Lee, Davis P., Losada, Patricia Morán, Zardeneta, Macy E., Fehlmann, Tobias, Webber, James T., McGeever, Aaron, Calcuttawala, Kruti, Zhang, Hui, Berdnik, Daniela, Mathur, Vidhu, Tan, Weilun, Zee, Alexander, Tan, Michelle, Almanzar, Nicole, Antony, Jane, Baghel, Ankit S., Bakerman, Isaac, Bansal, Ishita, Barres, Ben A., Beachy, Philip A., Bilen, Biter, Brownfield, Douglas, Cain, Corey, Chan, Charles K. F., Chen, Michelle B., Clarke, Michael F., Conley, Stephanie D., Darmanis, Spyros, Demers, Aaron, Demir, Kubilay, de Morree, Antoine, Divita, Tessa, du Bois, Haley, Ebadi, Hamid, Espinoza, F. Hernán, Fish, Matt, Gan, Qiang, George, Benson M., Gillich, Astrid, Gòmez-Sjöberg, Rafael, Green, Foad, Genetiano, Geraldine, Gu, Xueying, Gulati, Gunsagar S., Haney, Michael Seamus, Hang, Yan, Harris, Lincoln, He, Mu, Huang, Albin, Huang, Kerwyn Casey, Iram, Tal, Isobe, Taichi, Ives, Feather, Jones, Robert, Kao, Kevin S., Karkanias, Jim, Karnam, Guruswamy, Keller, Andreas, Kershner, Aaron M., Khoury, Nathalie, Kim, Seung K., Kiss, Bernhard M., Kong, William, Krasnow, Mark A., Kumar, Maya E., Kuo, Christin S., Lam, Jonathan Y., Leventhal, Olivia, Li, Guang, Li, Qingyun, Liu, Ling, Lo, Annie, Lu, Wan-Jin, Lugo-Fagundo, Maria F., Manjunath, Anoop, May, Andrew P., Maynard, Ashley, McKay, Marina, McNerney, M. Windy, Merrill, Bryan, Metzger, Ross J., Mignardi, Marco, Min, Dullei, Nabhan, Ahmad N., Neff, Norma F., Ng, Katharine M., Nguyen, Patricia K., Noh, Joseph, Nusse, Roel, Patkar, Rasika, Peng, Weng Chuan, Penland, Lolita, Pisco, Angela Oliveira, Pollard, Katherine, Puccinelli, Robert, Qi, Zhen, Quake, Stephen R., Rando, Thomas A., Rulifson, Eric J., Segal, Joe M., Sikandar, Shaheen S., Sinha, Rahul, Sonnenburg, Justin, Staehli, Daniel, Szade, Krzysztof, Tato, Cristina, Tellez, Krissie, Torrez Dulgeroff, Laughing Bear, Travaglini, Kyle J., Tropini, Carolina, Tsui, Margaret, Waldburger, Lucas, Wang, Bruce M., van Weele, Linda J., Weinberg, Kenneth, Weissman, Irving L., Wosczyna, Michael N., Wu, Sean M., Wyss-Coray, Tony, Xiang, Jinyi, Xue, Soso, Yamauchi, Kevin A., Yang, Andrew C., Yerra, Lakshmi P., Youngyunpipatkul, Justin, Yu, Brian, Zanini, Fabio, Zhao, Chunyu, Zhang, Fan, Zhang, Martin Jinye, Zhou, Lu, and Zou, James

Subjects
0301 basic medicine, Male, Aging, Time Factors, T-Lymphocytes, Plasma Cells, RNA-Seq, Biology, Article, Transcriptome, 03 medical and health sciences, Mice, 0302 clinical medicine, Gene expression, Animals, RNA, Messenger, Gene, Regulation of gene expression, Multidisciplinary, Blood Proteins, Cell biology, 030104 developmental biology, Proteostasis, Gene Expression Regulation, Ageing, Organ Specificity, Immunoglobulin J-Chains, Unfolded protein binding, Female, Single-Cell Analysis, 030217 neurology & neurosurgery
Abstract

Ageing is the single greatest cause of disease and death worldwide, and understanding the associated processes could vastly improve quality of life. Although major categories of ageing damage have been identified—such as altered intercellular communication, loss of proteostasis and eroded mitochondrial function1—these deleterious processes interact with extraordinary complexity within and between organs, and a comprehensive, whole-organism analysis of ageing dynamics has been lacking. Here we performed bulk RNA sequencing of 17 organs and plasma proteomics at 10 ages across the lifespan of Mus musculus, and integrated these findings with data from the accompanying Tabula Muris Senis2—or ‘Mouse Ageing Cell Atlas’—which follows on from the original Tabula Muris3. We reveal linear and nonlinear shifts in gene expression during ageing, with the associated genes clustered in consistent trajectory groups with coherent biological functions—including extracellular matrix regulation, unfolded protein binding, mitochondrial function, and inflammatory and immune response. Notably, these gene sets show similar expression across tissues, differing only in the amplitude and the age of onset of expression. Widespread activation of immune cells is especially pronounced, and is first detectable in white adipose depots during middle age. Single-cell RNA sequencing confirms the accumulation of T cells and B cells in adipose tissue—including plasma cells that express immunoglobulin J—which also accrue concurrently across diverse organs. Finally, we show how gene expression shifts in distinct tissues are highly correlated with corresponding protein levels in plasma, thus potentially contributing to the ageing of the systemic circulation. Together, these data demonstrate a similar yet asynchronous inter- and intra-organ progression of ageing, providing a foundation from which to track systemic sources of declining health at old age. Bulk RNA sequencing of organs and plasma proteomics at different ages across the mouse lifespan is integrated with data from the Tabula Muris Senis, a transcriptomic atlas of ageing mouse tissues, to describe organ-specific changes in gene expression during ageing.

Published
2020

15. Protocol to electroporate DNA plasmids into Ciona robustaembryos at the 1-cell stage

Author

Jindal, Granton A., Lim, Fabian, Tellez, Krissie, Song, Benjamin P., Bantle, Alexis T., and Farley, Emma K.

Abstract

Electroporation is a technique to introduce DNA constructs into cells using electric current. Here, we present a protocol to electroporate DNA plasmids into Ciona robustaembryos at the 1-cell stage. We describe steps for setting up and conducting electroporation. We then detail procedures for collecting, fixing, and mounting embryos and counting expression. This protocol can be used to study the expression of enhancers via reporter assays, manipulating cells using genes or modified genes such as dominant negatives, and genome editing.

Published
2024
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16. Molecular and genetic regulation of pig pancreatic islet cell development

Author

Kim, Seokho, primary, Whitener, Robert L., additional, Peiris, Heshan, additional, Gu, Xueying, additional, Chang, Charles A., additional, Lam, Jonathan Y., additional, Camunas-Soler, Joan, additional, Park, Insung, additional, Bevacqua, Romina J., additional, Tellez, Krissie, additional, Quake, Stephen R., additional, Lakey, Jonathan R. T., additional, Bottino, Rita, additional, Ross, Pablo J., additional, and Kim, Seung K., additional

Published
2020
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18. Molecular and genetic regulation of pig pancreatic islet cell development

Author

Kim, Seokho, primary, Whitener, Robert L., additional, Peiris, Heshan, additional, Gu, Xueying, additional, Chang, Charles A., additional, Lam, Jonathan Y., additional, Camunas-Soler, Joan, additional, Park, Insung, additional, Bevacqua, Romina J., additional, Tellez, Krissie, additional, Quake, Stephen R., additional, Lakey, Jonathan R. T., additional, Bottino, Rita, additional, Ross, Pablo J., additional, and Kim, Seung K., additional

Published
2019
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19. Molecular and genetic regulation of pig pancreatic islet cell development.

Author

Seokho Kim, Whitener, Robert L., Peiris, Heshan, Xueying Gu, Chang, Charles A., Lam, Jonathan Y., Camunas-Soler, Joan, Insung Park, Bevacqua, Romina J., Tellez, Krissie, Quake, Stephen R., Lakey, Jonathan R. T., Bottino, Rita, Ross, Pablo J., and Kim, Seung K.

Subjects
GENETIC regulation, ISLANDS of Langerhans, SWINE, PANCREATIC diseases, DEVELOPMENTAL programs, HOMOLOGY (Biology), DEVELOPMENTAL biology
Abstract

Reliance on rodents for understanding pancreatic genetics, development and islet function could limit progress in developing interventions for human diseases such as diabetes mellitus. Similarities of pancreas morphology and function suggest that porcine and human pancreas developmental biology may have useful homologies. However, little is known about pig pancreas development. To fill this knowledge gap, we investigated fetal and neonatal pig pancreas at multiple, crucial developmental stages using modern experimental approaches. Purification of islet β-, α- and δ-cells followed by transcriptome analysis (RNA-seq) and immunohistology identified celland stage-specific regulation, and revealed that pig and human islet cells share characteristic features that are not observed in mice. Morphometric analysis also revealed endocrine cell allocation and architectural similarities between pig and human islets. Our analysis unveiled scores of signaling pathways linked to native islet β-cell functional maturation, including evidence of fetal α-cell GLP-1 production and signaling to β-cells. Thus, the findings and resources detailed here show how pig pancreatic islet studies complement other systems for understanding the developmental programs that generate functional islet cells, and that are relevant to human pancreatic diseases. [ABSTRACT FROM AUTHOR]

Published
2020
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20. Single-cell transcriptomic characterization of 20 organs and tissues from individual mice creates a Tabula Muris

Author

Schaum, Nicholas, primary, Karkanias, Jim, additional, Neff, Norma F, additional, May, Andrew P., additional, Quake, Stephen R., additional, Wyss-Coray, Tony, additional, Darmanis, Spyros, additional, Batson, Joshua, additional, Botvinnik, Olga, additional, Chen, Michelle B., additional, Chen, Steven, additional, Green, Foad, additional, Jones, Robert, additional, Maynard, Ashley, additional, Penland, Lolita, additional, Sit, Rene V., additional, Stanley, Geoffrey M., additional, Webber, James T., additional, Zanini, Fabio, additional, Baghel, Ankit S., additional, Bakerman, Isaac, additional, Bansal, Ishita, additional, Berdnik, Daniela, additional, Bilen, Biter, additional, Brownfield, Douglas, additional, Cain, Corey, additional, Cho, Min, additional, Cirolia, Giana, additional, Conley, Stephanie D., additional, Demers, Aaron, additional, Demir, Kubilay, additional, Morree, Antoine de, additional, Divita, Tessa, additional, Bois, Haley du, additional, Dulgeroff, Laughing Bear Torrez, additional, Ebadi, Hamid, additional, Espinoza, F. Hernan, additional, Fish, Matt, additional, Gan, Qiang, additional, George, Benson M., additional, Gillich, Astrid, additional, Genetiano, Geraldine, additional, Gu, Xueying, additional, Gulati, Gunsagar S., additional, Hang, Yan, additional, Hosseinzadeh, Shayan, additional, Huang, Albin, additional, Iram, Tal, additional, Isobe, Taichi, additional, Ives, Feather, additional, Kao, Kevin S., additional, Karnam, Guruswamy, additional, Kershner, Aaron M., additional, Kiss, Bernhard, additional, Kong, William, additional, Kumar, Maya E., additional, Lam, Jonathan, additional, Lee, Davis P., additional, Lee, Song E., additional, Li, Guang, additional, Li, Qingyun, additional, Liu, Ling, additional, Lo, Annie, additional, Lu, Wan-Jin, additional, Manjunath, Anoop, additional, May, Kaia L., additional, May, Oliver L., additional, McKay, Marina, additional, Metzger, Ross J., additional, Mignardi, Marco, additional, Min, Dullei, additional, Nabhan, Ahmad N., additional, Ng, Katharine M., additional, Noh, Joseph, additional, Patkar, Rasika, additional, Peng, Weng Chuan, additional, Puccinelli, Robert, additional, Rulifson, Eric J., additional, Schaum, Nicholas, additional, Sikandar, Shaheen S., additional, Sinha, Rahul, additional, Sit, Rene V, additional, Szade, Krzysztof, additional, Tan, Weilun, additional, Tato, Cristina, additional, Tellez, Krissie, additional, Travaglini, Kyle J., additional, Tropini, Carolina, additional, Waldburger, Lucas, additional, Weele, Linda J. van, additional, Wosczyna, Michael N., additional, Xiang, Jinyi, additional, Xue, Soso, additional, Youngyunpipatkul, Justin, additional, Zardeneta, Macy E., additional, Zhang, Fan, additional, Zhou, Lu, additional, Neff, Norma F., additional, Castro, Paola, additional, Croote, Derek, additional, DeRisi, Joseph L., additional, Pisco, Angela, additional, Kiss, Bernhard M., additional, Kuo, Christin S., additional, Lehallier, Benoit, additional, Nguyen, Patricia K., additional, Tan, Serena Y., additional, Wang, Bruce M., additional, Yousef, Hanadie, additional, Beachy, Philip A., additional, Chan, Charles K. F., additional, Huang, Kerwyn Casey, additional, Weinberg, Kenneth, additional, Wu, Sean, additional, Barres, Ben A., additional, Clarke, Michael F., additional, Kim, Seung K., additional, Krasnow, Mark A., additional, Neff, Norma, additional, Nusse, Roel, additional, Rando, Thomas A., additional, Sonnenburg, Justin, additional, Weissman, Irving L., additional, and Wu, Sean M., additional

Published
2017
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