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Your search keyword '"Nabhan, Ahmad N."' showing total 2 results
Start Over Author "Nabhan, Ahmad N." Publisher escholarship, university of california
2 results on '"Nabhan, Ahmad N."'

1. A single-cell transcriptomic atlas characterizes ageing tissues in the mouse

Author

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 KF, Chen, Michelle B, Clarke, Michael F, Conley, Stephanie D, Darmanis, Spyros, Demers, Aaron, Demir, Kubilay, De Morree, Antoine, du Bois, Tessa Divita Haley, Ebadi, Hamid, Espinoza, F Hernan, Fish, Matt, Gan, Qiang, George, Benson M, Gillich, Astrid, Gomez-Sjoberg, 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, 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, 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, McGeever, Aaron, 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, Palovics, Robert, 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, Schaum, Nicholas, Segal, Joe M, Sikandar, Shaheen S, Sinha, Rahul, Sit, Rene V, Sonnenburg, Justin, and Staehli, Daniel

Subjects
Biochemistry and Cell Biology, Biological Sciences, Genetics, Underpinning research, 1.1 Normal biological development and functioning, Generic health relevance, Aging, Animals, Cellular Senescence, DNA Mutational Analysis, Female, Gene Expression Regulation, Developmental, Genomic Instability, Immunity, Liver, Male, Mice, Models, Animal, Organ Specificity, Single-Cell Analysis, T-Lymphocytes, Transcriptome, Tabula Muris Consortium, General Science & Technology
Abstract

Ageing is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death1. Despite rapid advances over recent years, many of the molecular and cellular processes that underlie the progressive loss of healthy physiology are poorly understood2. To gain a better insight into these processes, here we generate a single-cell transcriptomic atlas across the lifespan of Mus musculus that includes data from 23 tissues and organs. We found cell-specific changes occurring across multiple cell types and organs, as well as age-related changes in the cellular composition of different organs. Using single-cell transcriptomic data, we assessed cell-type-specific manifestations of different hallmarks of ageing-such as senescence3, genomic instability4 and changes in the immune system2. This transcriptomic atlas-which we denote Tabula Muris Senis, or 'Mouse Ageing Cell Atlas'-provides molecular information about how the most important hallmarks of ageing are reflected in a broad range of tissues and cell types.

Published
2020

2. 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 Hernan, 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, Sikandar, Shaheen S, Sinha, Rahul, Szade, Krzysztof, Tan, Weilun, Tato, Cristina, Tellez, Krissie, Travaglini, Kyle J, Tropini, Carolina, Waldburger, Lucas, van Weele, Linda J, Wosczyna, Michael N, Xiang, Jinyi, Xue, Soso, Youngyunpipatkul, Justin, Zardeneta, Macy E, Zhang, Fan, Zhou, Lu, Castro, Paola, Croote, Derek, DeRisi, Joseph L, Kuo, Christin S, and Lehallier, Benoit

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

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