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Your search keyword '"Travaglini, Kyle J."' showing total 8 results
Start Over Author "Travaglini, Kyle J." Publisher escholarship, university of california
8 results on '"Travaglini, Kyle J."'

1. Interstitial macrophages are a focus of viral takeover and inflammation in COVID-19 initiation in human lung

Author

Wu, Timothy Ting-Hsuan, Travaglini, Kyle J, Rustagi, Arjun, Xu, Duo, Zhang, Yue, Andronov, Leonid, Jang, SoRi, Gillich, Astrid, Dehghannasiri, Roozbeh, Martínez-Colón, Giovanny J, Beck, Aimee, Liu, Daniel Dan, Wilk, Aaron J, Morri, Maurizio, Trope, Winston L, Bierman, Rob, Weissman, Irving L, Shrager, Joseph B, Quake, Stephen R, Kuo, Christin S, Salzman, Julia, Moerner, WE, Kim, Peter S, Blish, Catherine A, and Krasnow, Mark A

Subjects
Medical Microbiology, Biomedical and Clinical Sciences, Lung, Vaccine Related, Emerging Infectious Diseases, Infectious Diseases, Pneumonia, Prevention, Pneumonia & Influenza, 2.2 Factors relating to the physical environment, 2.1 Biological and endogenous factors, Aetiology, Infection, Respiratory, Good Health and Well Being, Humans, COVID-19, SARS-CoV-2, Macrophages, Inflammation, RNA, Viral, Medical and Health Sciences, Immunology, Biomedical and clinical sciences, Health sciences
Abstract

Early stages of deadly respiratory diseases including COVID-19 are challenging to elucidate in humans. Here, we define cellular tropism and transcriptomic effects of SARS-CoV-2 virus by productively infecting healthy human lung tissue and using scRNA-seq to reconstruct the transcriptional program in "infection pseudotime" for individual lung cell types. SARS-CoV-2 predominantly infected activated interstitial macrophages (IMs), which can accumulate thousands of viral RNA molecules, taking over 60% of the cell transcriptome and forming dense viral RNA bodies while inducing host profibrotic (TGFB1, SPP1) and inflammatory (early interferon response, CCL2/7/8/13, CXCL10, and IL6/10) programs and destroying host cell architecture. Infected alveolar macrophages (AMs) showed none of these extreme responses. Spike-dependent viral entry into AMs used ACE2 and Sialoadhesin/CD169, whereas IM entry used DC-SIGN/CD209. These results identify activated IMs as a prominent site of viral takeover, the focus of inflammation and fibrosis, and suggest targeting CD209 to prevent early pathology in COVID-19 pneumonia. This approach can be generalized to any human lung infection and to evaluate therapeutics.

Published
2024

2. An integrated cell atlas of the lung in health and disease

Author

Sikkema, Lisa, Ramírez-Suástegui, Ciro, Strobl, Daniel C, Gillett, Tessa E, Zappia, Luke, Madissoon, Elo, Markov, Nikolay S, Zaragosi, Laure-Emmanuelle, Ji, Yuge, Ansari, Meshal, Arguel, Marie-Jeanne, Apperloo, Leonie, Banchero, Martin, Bécavin, Christophe, Berg, Marijn, Chichelnitskiy, Evgeny, Chung, Mei-i, Collin, Antoine, Gay, Aurore CA, Gote-Schniering, Janine, Hooshiar Kashani, Baharak, Inecik, Kemal, Jain, Manu, Kapellos, Theodore S, Kole, Tessa M, Leroy, Sylvie, Mayr, Christoph H, Oliver, Amanda J, von Papen, Michael, Peter, Lance, Taylor, Chase J, Walzthoeni, Thomas, Xu, Chuan, Bui, Linh T, De Donno, Carlo, Dony, Leander, Faiz, Alen, Guo, Minzhe, Gutierrez, Austin J, Heumos, Lukas, Huang, Ni, Ibarra, Ignacio L, Jackson, Nathan D, Kadur Lakshminarasimha Murthy, Preetish, Lotfollahi, Mohammad, Tabib, Tracy, Talavera-López, Carlos, Travaglini, Kyle J, Wilbrey-Clark, Anna, Worlock, Kaylee B, Yoshida, Masahiro, van den Berge, Maarten, Bossé, Yohan, Desai, Tushar J, Eickelberg, Oliver, Kaminski, Naftali, Krasnow, Mark A, Lafyatis, Robert, Nikolic, Marko Z, Powell, Joseph E, Rajagopal, Jayaraj, Rojas, Mauricio, Rozenblatt-Rosen, Orit, Seibold, Max A, Sheppard, Dean, Shepherd, Douglas P, Sin, Don D, Timens, Wim, Tsankov, Alexander M, Whitsett, Jeffrey, Xu, Yan, Banovich, Nicholas E, Barbry, Pascal, Duong, Thu Elizabeth, Falk, Christine S, Meyer, Kerstin B, Kropski, Jonathan A, Pe’er, Dana, Schiller, Herbert B, Tata, Purushothama Rao, Schultze, Joachim L, Teichmann, Sara A, Misharin, Alexander V, Nawijn, Martijn C, Luecken, Malte D, and Theis, Fabian J

Subjects
Lung, Genetics, Underpinning research, 1.1 Normal biological development and functioning, Generic health relevance, Respiratory, Good Health and Well Being, Humans, COVID-19, Pulmonary Fibrosis, Lung Neoplasms, Macrophages, Lung Biological Network Consortium, Medical and Health Sciences, Immunology
Abstract

Single-cell technologies have transformed our understanding of human tissues. Yet, studies typically capture only a limited number of donors and disagree on cell type definitions. Integrating many single-cell datasets can address these limitations of individual studies and capture the variability present in the population. Here we present the integrated Human Lung Cell Atlas (HLCA), combining 49 datasets of the human respiratory system into a single atlas spanning over 2.4 million cells from 486 individuals. The HLCA presents a consensus cell type re-annotation with matching marker genes, including annotations of rare and previously undescribed cell types. Leveraging the number and diversity of individuals in the HLCA, we identify gene modules that are associated with demographic covariates such as age, sex and body mass index, as well as gene modules changing expression along the proximal-to-distal axis of the bronchial tree. Mapping new data to the HLCA enables rapid data annotation and interpretation. Using the HLCA as a reference for the study of disease, we identify shared cell states across multiple lung diseases, including SPP1+ profibrotic monocyte-derived macrophages in COVID-19, pulmonary fibrosis and lung carcinoma. Overall, the HLCA serves as an example for the development and use of large-scale, cross-dataset organ atlases within the Human Cell Atlas.

Published
2023

3. Cell types of origin of the cell-free transcriptome

Author

Jones, Robert C, Karkanias, Jim, Krasnow, Mark, Pisco, Angela Oliveira, Quake, Stephen R, Salzman, Julia, Yosef, Nir, Bulthaup, Bryan, Brown, Phillip, Harper, William, Hemenez, Marisa, Ponnusamy, Ravikumar, Salehi, Ahmad, Sanagavarapu, Bhavani A, Spallino, Eileen, Aaron, Ksenia A, Concepcion, Waldo, Gardner, James M, Kelly, Burnett, Neidlinger, Nikole, Wang, Zifa, Crasta, Sheela, Kolluru, Saroja, Morri, Maurizio, Tan, Serena Y, Travaglini, Kyle J, Xu, Chenling, Alcántara-Hernández, Marcela, Almanzar, Nicole, Antony, Jane, Beyersdorf, Benjamin, Burhan, Deviana, Calcuttawala, Kruti, Carter, Matthew M, Chan, Charles KF, Chang, Charles A, Chang, Stephen, Colville, Alex, Culver, Rebecca N, Cvijović, Ivana, D’Amato, Gaetano, Ezran, Camille, Galdos, Francisco X, Gillich, Astrid, Goodyer, William R, Hang, Yan, Hayashi, Alyssa, Houshdaran, Sahar, Huang, Xianxi, Irwin, Juan C, Jang, SoRi, Juanico, Julia Vallve, Kershner, Aaron M, Kim, Soochi, Kiss, Bernhard, Kong, William, Kumar, Maya E, Kuo, Angera H, Leylek, Rebecca, Li, Baoxiang, Loeb, Gabriel B, Lu, Wan-Jin, Mantri, Sruthi, Markovic, Maxim, McAlpine, Patrick L, de Morree, Antoine, Mrouj, Karim, Mukherjee, Shravani, Muser, Tyler, Neuhöfer, Patrick, Nguyen, Thi D, Perez, Kimberly, Phansalkar, Ragini, Puluca, Nazan, Qi, Zhen, Rao, Poorvi, Raquer-McKay, Hayley, Schaum, Nicholas, Scott, Bronwyn, Seddighzadeh, Bobak, Segal, Joe, Sen, Sushmita, Sikandar, Shaheen, Spencer, Sean P, Steffes, Lea, Subramaniam, Varun R, Swarup, Aditi, Swift, Michael, Van Treuren, Will, Trimm, Emily, Veizades, Stefan, Vijayakumar, Sivakamasundari, Vo, Kim Chi, Vorperian, Sevahn K, Wang, Wanxin, Weinstein, Hannah NW, Winkler, Juliane, Wu, Timothy TH, Xie, Jamie, and Yung, Andrea R

Subjects
Human Genome, Genetics, Cell-Free Nucleic Acids, Humans, Transcriptome, Tabula Sapiens Consortium
Abstract

Cell-free RNA from liquid biopsies can be analyzed to determine disease tissue of origin. We extend this concept to identify cell types of origin using the Tabula Sapiens transcriptomic cell atlas as well as individual tissue transcriptomic cell atlases in combination with the Human Protein Atlas RNA consensus dataset. We define cell type signature scores, which allow the inference of cell types that contribute to cell-free RNA for a variety of diseases.

Published
2022

4. The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans

Author

Jones, Robert C, Karkanias, Jim, Krasnow, Mark A, Pisco, Angela Oliveira, Quake, Stephen R, Salzman, Julia, Yosef, Nir, Bulthaup, Bryan, Brown, Phillip, Harper, William, Hemenez, Marisa, Ponnusamy, Ravikumar, Salehi, Ahmad, Sanagavarapu, Bhavani A, Spallino, Eileen, Aaron, Ksenia A, Concepcion, Waldo, Gardner, James M, Kelly, Burnett, Neidlinger, Nikole, Wang, Zifa, Crasta, Sheela, Kolluru, Saroja, Morri, Maurizio, Tan, Serena Y, Travaglini, Kyle J, Xu, Chenling, Alcántara-Hernández, Marcela, Almanzar, Nicole, Antony, Jane, Beyersdorf, Benjamin, Burhan, Deviana, Calcuttawala, Kruti, Carter, Matthew M, Chan, Charles KF, Chang, Charles A, Chang, Stephen, Colville, Alex, Culver, Rebecca N, Cvijović, Ivana, D'Amato, Gaetano, Ezran, Camille, Galdos, Francisco X, Gillich, Astrid, Goodyer, William R, Hang, Yan, Hayashi, Alyssa, Houshdaran, Sahar, Huang, Xianxi, Irwin, Juan C, Jang, SoRi, Juanico, Julia Vallve, Kershner, Aaron M, Kim, Soochi, Kiss, Bernhard, Kong, William, Kumar, Maya E, Kuo, Angera H, Li, Baoxiang, Loeb, Gabriel B, Lu, Wan-Jin, Mantri, Sruthi, Markovic, Maxim, McAlpine, Patrick L, de Morree, Antoine, Mrouj, Karim, Mukherjee, Shravani, Muser, Tyler, Neuhöfer, Patrick, Nguyen, Thi D, Perez, Kimberly, Puluca, Nazan, Qi, Zhen, Rao, Poorvi, Raquer-McKay, Hayley, Schaum, Nicholas, Scott, Bronwyn, Seddighzadeh, Bobak, Segal, Joe, Sen, Sushmita, Sikandar, Shaheen, Spencer, Sean P, Steffes, Lea C, Subramaniam, Varun R, Swarup, Aditi, Swift, Michael, Van Treuren, Will, Trimm, Emily, Veizades, Stefan, Vijayakumar, Sivakamasundari, Vo, Kim Chi, Vorperian, Sevahn K, Wang, Wanxin, Weinstein, Hannah NW, Winkler, Juliane, Wu, Timothy TH, Xie, Jamie, Yung, Andrea R, Zhang, Yue, and Detweiler, Angela M

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Generic health relevance, Atlases as Topic, B-Lymphocytes, Cells, Humans, Organ Specificity, RNA Splicing, Single-Cell Analysis, T-Lymphocytes, Transcriptome, Tabula Sapiens Consortium*, General Science & Technology
Abstract

Molecular characterization of cell types using single-cell transcriptome sequencing is revolutionizing cell biology and enabling new insights into the physiology of human organs. We created a human reference atlas comprising nearly 500,000 cells from 24 different tissues and organs, many from the same donor. This atlas enabled molecular characterization of more than 400 cell types, their distribution across tissues, and tissue-specific variation in gene expression. Using multiple tissues from a single donor enabled identification of the clonal distribution of T cells between tissues, identification of the tissue-specific mutation rate in B cells, and analysis of the cell cycle state and proliferative potential of shared cell types across tissues. Cell type-specific RNA splicing was discovered and analyzed across tissues within an individual.

Published
2022

5. 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

6. Translational roles of elongation factor 2 protein lysine methylation.

Author

Dzialo, Maria C, Travaglini, Kyle J, Shen, Sean, Roy, Kevin, Chanfreau, Guillaume F, Loo, Joseph A, and Clarke, Steven G

Subjects
Saccharomyces cerevisiae, Peptide Elongation Factor 2, Methyltransferases, Saccharomyces cerevisiae Proteins, Phylogeny, Protein Biosynthesis, Protein Processing, Post-Translational, Amino Acid Sequence, Catalytic Domain, Conserved Sequence, Methylation, Models, Molecular, Molecular Sequence Data, Lysine Methylation, Protein Methylation, Protein Synthesis, Ribosome Function, S-Adenosylmethionine, Translation Elongation Factor, Genetics, Chemical Sciences, Biological Sciences, Medical and Health Sciences, Biochemistry & Molecular Biology
Abstract

Methylation of various components of the translational machinery has been shown to globally affect protein synthesis. Little is currently known about the role of lysine methylation on elongation factors. Here we show that in Saccharomyces cerevisiae, the product of the EFM3/YJR129C gene is responsible for the trimethylation of lysine 509 on elongation factor 2. Deletion of EFM3 or of the previously described EFM2 increases sensitivity to antibiotics that target translation and decreases translational fidelity. Furthermore, the amino acid sequences of Efm3 and Efm2, as well as their respective methylation sites on EF2, are conserved in other eukaryotes. These results suggest the importance of lysine methylation modification of EF2 in fine tuning the translational apparatus.

Published
2014

7. The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans

Author

Tabula Sapiens Consortium, Jones, Robert C, Karkanias, Jim, Krasnow, Mark A, Pisco, Angela Oliveira, Quake, Stephen R, Salzman, Julia, Yosef, Nir, Bulthaup, Bryan, Brown, Phillip, Harper, William, Hemenez, Marisa, Ponnusamy, Ravikumar, Salehi, Ahmad, Sanagavarapu, Bhavani A, Spallino, Eileen, Aaron, Ksenia A, Concepcion, Waldo, Gardner, James M, Kelly, Burnett, Neidlinger, Nikole, Wang, Zifa, Crasta, Sheela, Kolluru, Saroja, Morri, Maurizio, Tan, Serena Y, Travaglini, Kyle J, Xu, Chenling, Alcántara-Hernández, Marcela, Almanzar, Nicole, Antony, Jane, Beyersdorf, Benjamin, Burhan, Deviana, Calcuttawala, Kruti, Carter, Matthew M, Chan, Charles KF, Chang, Charles A, Chang, Stephen, Colville, Alex, Culver, Rebecca N, Cvijović, Ivana, D'Amato, Gaetano, Ezran, Camille, Galdos, Francisco X, Gillich, Astrid, Goodyer, William R, Hang, Yan, Hayashi, Alyssa, Houshdaran, Sahar, Huang, Xianxi, Irwin, Juan C, Jang, SoRi, Juanico, Julia Vallve, Kershner, Aaron M, Kim, Soochi, Kiss, Bernhard, Kong, William, Kumar, Maya E, Kuo, Angera H, Leylek, Rebecca, Li, Baoxiang, Loeb, Gabriel B, Lu, Wan-Jin, Mantri, Sruthi, Markovic, Maxim, McAlpine, Patrick L, de Morree, Antoine, Mrouj, Karim, Mukherjee, Shravani, Muser, Tyler, Neuhöfer, Patrick, Nguyen, Thi D, Perez, Kimberly, Phansalkar, Ragini, Puluca, Nazan, Qi, Zhen, Rao, Poorvi, Raquer-McKay, Hayley, Schaum, Nicholas, Scott, Bronwyn, Seddighzadeh, Bobak, Segal, Joe, Sen, Sushmita, Sikandar, Shaheen, Spencer, Sean P, Steffes, Lea C, Subramaniam, Varun R, Swarup, Aditi, Swift, Michael, Van Treuren, Will, Trimm, Emily, Veizades, Stefan, Vijayakumar, Sivakamasundari, and Vo, Kim Chi

Subjects
B-Lymphocytes, General Science & Technology, Cells, T-Lymphocytes, RNA Splicing, Human Genome, Tabula Sapiens Consortium, Atlases as Topic, Organ Specificity, Genetics, Humans, Generic health relevance, Single-Cell Analysis, Transcriptome, Biotechnology
Abstract

Molecular characterization of cell types using single-cell transcriptome sequencing is revolutionizing cell biology and enabling new insights into the physiology of human organs. We created a human reference atlas comprising nearly 500,000 cells from 24 different tissues and organs, many from the same donor. This atlas enabled molecular characterization of more than 400 cell types, their distribution across tissues, and tissue-specific variation in gene expression. Using multiple tissues from a single donor enabled identification of the clonal distribution of T cells between tissues, identification of the tissue-specific mutation rate in B cells, and analysis of the cell cycle state and proliferative potential of shared cell types across tissues. Cell type-specific RNA splicing was discovered and analyzed across tissues within an individual.

Published
2022

8. The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans.

Author

Tabula Sapiens Consortium*, Tabula Sapiens Consortium*, Jones, Robert C, Karkanias, Jim, Krasnow, Mark A, Pisco, Angela Oliveira, Quake, Stephen R, Salzman, Julia, Yosef, Nir, Bulthaup, Bryan, Brown, Phillip, Harper, William, Hemenez, Marisa, Ponnusamy, Ravikumar, Salehi, Ahmad, Sanagavarapu, Bhavani A, Spallino, Eileen, Aaron, Ksenia A, Concepcion, Waldo, Gardner, James M, Kelly, Burnett, Neidlinger, Nikole, Wang, Zifa, Crasta, Sheela, Kolluru, Saroja, Morri, Maurizio, Tan, Serena Y, Travaglini, Kyle J, Xu, Chenling, Alcántara-Hernández, Marcela, Almanzar, Nicole, Antony, Jane, Beyersdorf, Benjamin, Burhan, Deviana, Calcuttawala, Kruti, Carter, Matthew M, Chan, Charles KF, Chang, Charles A, Chang, Stephen, Colville, Alex, Culver, Rebecca N, Cvijović, Ivana, D'Amato, Gaetano, Ezran, Camille, Galdos, Francisco X, Gillich, Astrid, Goodyer, William R, Hang, Yan, Hayashi, Alyssa, Houshdaran, Sahar, Huang, Xianxi, Irwin, Juan C, Jang, SoRi, Juanico, Julia Vallve, Kershner, Aaron M, Kim, Soochi, Kiss, Bernhard, Kong, William, Kumar, Maya E, Kuo, Angera H, Leylek, Rebecca, Li, Baoxiang, Loeb, Gabriel B, Lu, Wan-Jin, Mantri, Sruthi, Markovic, Maxim, McAlpine, Patrick L, de Morree, Antoine, Mrouj, Karim, Mukherjee, Shravani, Muser, Tyler, Neuhöfer, Patrick, Nguyen, Thi D, Perez, Kimberly, Phansalkar, Ragini, Puluca, Nazan, Qi, Zhen, Rao, Poorvi, Raquer-McKay, Hayley, Schaum, Nicholas, Scott, Bronwyn, Seddighzadeh, Bobak, Segal, Joe, Sen, Sushmita, Sikandar, Shaheen, Spencer, Sean P, Steffes, Lea C, Subramaniam, Varun R, Swarup, Aditi, Swift, Michael, Van Treuren, Will, Trimm, Emily, Veizades, Stefan, Vijayakumar, Sivakamasundari, Vo, Kim Chi, Tabula Sapiens Consortium*, Tabula Sapiens Consortium*, Jones, Robert C, Karkanias, Jim, Krasnow, Mark A, Pisco, Angela Oliveira, Quake, Stephen R, Salzman, Julia, Yosef, Nir, Bulthaup, Bryan, Brown, Phillip, Harper, William, Hemenez, Marisa, Ponnusamy, Ravikumar, Salehi, Ahmad, Sanagavarapu, Bhavani A, Spallino, Eileen, Aaron, Ksenia A, Concepcion, Waldo, Gardner, James M, Kelly, Burnett, Neidlinger, Nikole, Wang, Zifa, Crasta, Sheela, Kolluru, Saroja, Morri, Maurizio, Tan, Serena Y, Travaglini, Kyle J, Xu, Chenling, Alcántara-Hernández, Marcela, Almanzar, Nicole, Antony, Jane, Beyersdorf, Benjamin, Burhan, Deviana, Calcuttawala, Kruti, Carter, Matthew M, Chan, Charles KF, Chang, Charles A, Chang, Stephen, Colville, Alex, Culver, Rebecca N, Cvijović, Ivana, D'Amato, Gaetano, Ezran, Camille, Galdos, Francisco X, Gillich, Astrid, Goodyer, William R, Hang, Yan, Hayashi, Alyssa, Houshdaran, Sahar, Huang, Xianxi, Irwin, Juan C, Jang, SoRi, Juanico, Julia Vallve, Kershner, Aaron M, Kim, Soochi, Kiss, Bernhard, Kong, William, Kumar, Maya E, Kuo, Angera H, Leylek, Rebecca, Li, Baoxiang, Loeb, Gabriel B, Lu, Wan-Jin, Mantri, Sruthi, Markovic, Maxim, McAlpine, Patrick L, de Morree, Antoine, Mrouj, Karim, Mukherjee, Shravani, Muser, Tyler, Neuhöfer, Patrick, Nguyen, Thi D, Perez, Kimberly, Phansalkar, Ragini, Puluca, Nazan, Qi, Zhen, Rao, Poorvi, Raquer-McKay, Hayley, Schaum, Nicholas, Scott, Bronwyn, Seddighzadeh, Bobak, Segal, Joe, Sen, Sushmita, Sikandar, Shaheen, Spencer, Sean P, Steffes, Lea C, Subramaniam, Varun R, Swarup, Aditi, Swift, Michael, Van Treuren, Will, Trimm, Emily, Veizades, Stefan, Vijayakumar, Sivakamasundari, and Vo, Kim Chi

Abstract

Molecular characterization of cell types using single-cell transcriptome sequencing is revolutionizing cell biology and enabling new insights into the physiology of human organs. We created a human reference atlas comprising nearly 500,000 cells from 24 different tissues and organs, many from the same donor. This atlas enabled molecular characterization of more than 400 cell types, their distribution across tissues, and tissue-specific variation in gene expression. Using multiple tissues from a single donor enabled identification of the clonal distribution of T cells between tissues, identification of the tissue-specific mutation rate in B cells, and analysis of the cell cycle state and proliferative potential of shared cell types across tissues. Cell type-specific RNA splicing was discovered and analyzed across tissues within an individual.

Published
2022

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