386 results on '"Meyer, Kerstin B"'
Search Results
2. An organotypic atlas of human vascular cells
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Barnett, Sam N., Cujba, Ana-Maria, Yang, Lu, Maceiras, Ana Raquel, Li, Shuang, Kedlian, Veronika R., Pett, J. Patrick, Polanski, Krzysztof, Miranda, Antonio M. A., Xu, Chuan, Cranley, James, Kanemaru, Kazumasa, Lee, Michael, Mach, Lukas, Perera, Shani, Tudor, Catherine, Joseph, Philomeena D., Pritchard, Sophie, Toscano-Rivalta, Rebecca, Tuong, Zewen K., Bolt, Liam, Petryszak, Robert, Prete, Martin, Cakir, Batuhan, Huseynov, Alik, Sarropoulos, Ioannis, Chowdhury, Rasheda A., Elmentaite, Rasa, Madissoon, Elo, Oliver, Amanda J., Campos, Lia, Brazovskaja, Agnieska, Gomes, Tomás, Treutlein, Barbara, Kim, Chang N., Nowakowski, Tomasz J., Meyer, Kerstin B., Randi, Anna M., Noseda, Michela, and Teichmann, Sarah A.
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- 2024
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3. A multi-omic atlas of human embryonic skeletal development
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To, Ken, Fei, Lijiang, Pett, J. Patrick, Roberts, Kenny, Blain, Raphael, Polański, Krzysztof, Li, Tong, Yayon, Nadav, He, Peng, Xu, Chuan, Cranley, James, Moy, Madelyn, Li, Ruoyan, Kanemaru, Kazumasa, Huang, Ni, Megas, Stathis, Richardson, Laura, Kapuge, Rakesh, Perera, Shani, Tuck, Elizabeth, Wilbrey-Clark, Anna, Mulas, Ilaria, Memi, Fani, Cakir, Batuhan, Predeus, Alexander V., Horsfall, David, Murray, Simon, Prete, Martin, Mazin, Pavel, He, Xiaoling, Meyer, Kerstin B., Haniffa, Muzlifah, Barker, Roger A., Bayraktar, Omer, Chédotal, Alain, Buckley, Christopher D., and Teichmann, Sarah A.
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- 2024
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4. Single-cell integration reveals metaplasia in inflammatory gut diseases
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Oliver, Amanda J., Huang, Ni, Bartolome-Casado, Raquel, Li, Ruoyan, Koplev, Simon, Nilsen, Hogne R., Moy, Madelyn, Cakir, Batuhan, Polanski, Krzysztof, Gudiño, Victoria, Melón-Ardanaz, Elisa, Sumanaweera, Dinithi, Dimitrov, Daniel, Milchsack, Lisa Marie, FitzPatrick, Michael E. B., Provine, Nicholas M., Boccacino, Jacqueline M., Dann, Emma, Predeus, Alexander V., To, Ken, Prete, Martin, Chapman, Jonathan A., Masi, Andrea C., Stephenson, Emily, Engelbert, Justin, Lobentanzer, Sebastian, Perera, Shani, Richardson, Laura, Kapuge, Rakeshlal, Wilbrey-Clark, Anna, Semprich, Claudia I., Ellams, Sophie, Tudor, Catherine, Joseph, Philomeena, Garrido-Trigo, Alba, Corraliza, Ana M., Oliver, Thomas R. W., Hook, C. Elizabeth, James, Kylie R., Mahbubani, Krishnaa T., Saeb-Parsy, Kourosh, Zilbauer, Matthias, Saez-Rodriguez, Julio, Høivik, Marte Lie, Bækkevold, Espen S., Stewart, Christopher J., Berrington, Janet E., Meyer, Kerstin B., Klenerman, Paul, Salas, Azucena, Haniffa, Muzlifah, Jahnsen, Frode L., Elmentaite, Rasa, and Teichmann, Sarah A.
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- 2024
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5. Human SARS-CoV-2 challenge uncovers local and systemic response dynamics
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Lindeboom, Rik G. H., Worlock, Kaylee B., Dratva, Lisa M., Yoshida, Masahiro, Scobie, David, Wagstaffe, Helen R., Richardson, Laura, Wilbrey-Clark, Anna, Barnes, Josephine L., Kretschmer, Lorenz, Polanski, Krzysztof, Allen-Hyttinen, Jessica, Mehta, Puja, Sumanaweera, Dinithi, Boccacino, Jacqueline M., Sungnak, Waradon, Elmentaite, Rasa, Huang, Ni, Mamanova, Lira, Kapuge, Rakesh, Bolt, Liam, Prigmore, Elena, Killingley, Ben, Kalinova, Mariya, Mayer, Maria, Boyers, Alison, Mann, Alex, Swadling, Leo, Woodall, Maximillian N. J., Ellis, Samuel, Smith, Claire M., Teixeira, Vitor H., Janes, Sam M., Chambers, Rachel C., Haniffa, Muzlifah, Catchpole, Andrew, Heyderman, Robert, Noursadeghi, Mahdad, Chain, Benny, Mayer, Andreas, Meyer, Kerstin B., Chiu, Christopher, Nikolić, Marko Z., and Teichmann, Sarah A.
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- 2024
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6. Enhanced CD95 and interleukin 18 signalling accompany T cell receptor Vβ21.3+ activation in multi-inflammatory syndrome in children
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Zhang, Zhenguang, Kean, Iain R. L., Dratva, Lisa M., Clark, John A., Syrimi, Eleni, Khan, Naeem, Daubney, Esther, White, Deborah, O’Neill, Lauran, Chisholm, Catherine, Payne, Caroline, Benkenstein, Sarah, Kupiec, Klaudia, Galassini, Rachel, Wright, Victoria, Winmill, Helen, Robbins, Ceri, Brown, Katherine, Ramnarayan, Padmanabhan, Scholefield, Barnaby, Peters, Mark, Klein, Nigel, Montgomery, Hugh, Meyer, Kerstin B., Teichmann, Sarah A., Bryant, Clare, Taylor, Graham, and Pathan, Nazima
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- 2024
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7. Smoking-associated gene expression alterations in nasal epithelium reveal immune impairment linked to lung cancer risk
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de Biase, Maria Stella, Massip, Florian, Wei, Tzu-Ting, Giorgi, Federico M., Stark, Rory, Stone, Amanda, Gladwell, Amy, O’Reilly, Martin, Schütte, Daniel, de Santiago, Ines, Meyer, Kerstin B., Markowetz, Florian, Ponder, Bruce A. J., Rintoul, Robert C., and Schwarz, Roland F.
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- 2024
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8. Systematic benchmarking of single-cell ATAC-sequencing protocols
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De Rop, Florian V., Hulselmans, Gert, Flerin, Chris, Soler-Vila, Paula, Rafels, Albert, Christiaens, Valerie, González-Blas, Carmen Bravo, Marchese, Domenica, Caratù, Ginevra, Poovathingal, Suresh, Rozenblatt-Rosen, Orit, Slyper, Michael, Luo, Wendy, Muus, Christoph, Duarte, Fabiana, Shrestha, Rojesh, Bagdatli, S. Tansu, Corces, M. Ryan, Mamanova, Lira, Knights, Andrew, Meyer, Kerstin B., Mulqueen, Ryan, Taherinasab, Akram, Maschmeyer, Patrick, Pezoldt, Jörn, Lambert, Camille Lucie Germaine, Iglesias, Marta, Najle, Sebastián R., Dossani, Zain Y., Martelotto, Luciano G., Burkett, Zach, Lebofsky, Ronald, Martin-Subero, José Ignacio, Pillai, Satish, Sebé-Pedrós, Arnau, Deplancke, Bart, Teichmann, Sarah A., Ludwig, Leif S., Braun, Theodore P., Adey, Andrew C., Greenleaf, William J., Buenrostro, Jason D., Regev, Aviv, Aerts, Stein, and Heyn, Holger
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- 2024
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9. Human skeletal muscle aging atlas
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Kedlian, Veronika R., Wang, Yaning, Liu, Tianliang, Chen, Xiaoping, Bolt, Liam, Tudor, Catherine, Shen, Zhuojian, Fasouli, Eirini S., Prigmore, Elena, Kleshchevnikov, Vitalii, Pett, Jan Patrick, Li, Tong, Lawrence, John E. G., Perera, Shani, Prete, Martin, Huang, Ni, Guo, Qin, Zeng, Xinrui, Yang, Lu, Polański, Krzysztof, Chipampe, Nana-Jane, Dabrowska, Monika, Li, Xiaobo, Bayraktar, Omer Ali, Patel, Minal, Kumasaka, Natsuhiko, Mahbubani, Krishnaa T., Xiang, Andy Peng, Meyer, Kerstin B., Saeb-Parsy, Kourosh, Teichmann, Sarah A., and Zhang, Hongbo
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- 2024
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10. Age-specific nasal epithelial responses to SARS-CoV-2 infection
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Woodall, Maximillian N. J., Cujba, Ana-Maria, Worlock, Kaylee B., Case, Katie-Marie, Masonou, Tereza, Yoshida, Masahiro, Polanski, Krzysztof, Huang, Ni, Lindeboom, Rik G. H., Mamanova, Lira, Bolt, Liam, Richardson, Laura, Cakir, Batuhan, Ellis, Samuel, Palor, Machaela, Burgoyne, Thomas, Pinto, Andreia, Moulding, Dale, McHugh, Timothy D., Saleh, Aarash, Kilich, Eliz, Mehta, Puja, O’Callaghan, Chris, Zhou, Jie, Barclay, Wendy, De Coppi, Paolo, Butler, Colin R., Cortina-Borja, Mario, Vinette, Heloise, Roy, Sunando, Breuer, Judith, Chambers, Rachel C., Heywood, Wendy E., Mills, Kevin, Hynds, Robert E., Teichmann, Sarah A., Meyer, Kerstin B., Nikolić, Marko Z., and Smith, Claire M.
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- 2024
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11. An integrated cell atlas of the lung in health and disease
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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
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Biomedical and Clinical Sciences ,Health Sciences ,Lung ,Genetics ,2.1 Biological and endogenous factors ,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 ,Biomedical and clinical sciences ,Health sciences - 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.
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- 2023
12. Author Correction: Age-specific nasal epithelial responses to SARS-CoV-2 infection
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Woodall, Maximillian N. J., Cujba, Ana-Maria, Worlock, Kaylee B., Case, Katie-Marie, Masonou, Tereza, Yoshida, Masahiro, Polanski, Krzysztof, Huang, Ni, Lindeboom, Rik G. H., Mamanova, Lira, Bolt, Liam, Richardson, Laura, Cakir, Batuhan, Ellis, Samuel, Palor, Machaela, Burgoyne, Thomas, Pinto, Andreia, Moulding, Dale, McHugh, Timothy D., Saleh, Aarash, Kilich, Eliz, Mehta, Puja, O’Callaghan, Chris, Zhou, Jie, Barclay, Wendy, De Coppi, Paolo, Butler, Colin R., Cortina-Borja, Mario, Vinette, Heloise, Roy, Sunando, Breuer, Judith, Chambers, Rachel C., Heywood, Wendy E., Mills, Kevin, Hynds, Robert E., Teichmann, Sarah A., Meyer, Kerstin B., Nikolić, Marko Z., and Smith, Claire M.
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- 2024
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13. Dandelion uses the single-cell adaptive immune receptor repertoire to explore lymphocyte developmental origins
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Suo, Chenqu, Polanski, Krzysztof, Dann, Emma, Lindeboom, Rik G. H., Vilarrasa-Blasi, Roser, Vento-Tormo, Roser, Haniffa, Muzlifah, Meyer, Kerstin B., Dratva, Lisa M., Tuong, Zewen Kelvin, Clatworthy, Menna R., and Teichmann, Sarah A.
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- 2024
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14. Precise identification of cell states altered in disease using healthy single-cell references
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Dann, Emma, Cujba, Ana-Maria, Oliver, Amanda J., Meyer, Kerstin B., Teichmann, Sarah A., and Marioni, John C.
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- 2023
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15. Author Correction: Human SARS-CoV-2 challenge uncovers local and systemic response dynamics
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Lindeboom, Rik G. H., Worlock, Kaylee B., Dratva, Lisa M., Yoshida, Masahiro, Scobie, David, Wagstaffe, Helen R., Richardson, Laura, Wilbrey-Clark, Anna, Barnes, Josephine L., Kretschmer, Lorenz, Polanski, Krzysztof, Allen-Hyttinen, Jessica, Mehta, Puja, Sumanaweera, Dinithi, Boccacino, Jacqueline M., Sungnak, Waradon, Elmentaite, Rasa, Huang, Ni, Mamanova, Lira, Kapuge, Rakesh, Bolt, Liam, Prigmore, Elena, Killingley, Ben, Kalinova, Mariya, Mayer, Maria, Boyers, Alison, Mann, Alex, Swadling, Leo, Woodall, Maximillian N. J., Ellis, Samuel, Smith, Claire M., Teixeira, Vitor H., Janes, Sam M., Chambers, Rachel C., Haniffa, Muzlifah, Catchpole, Andrew, Heyderman, Robert, Noursadeghi, Mahdad, Chain, Benny, Mayer, Andreas, Meyer, Kerstin B., Chiu, Christopher, Nikolić, Marko Z., and Teichmann, Sarah A.
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- 2024
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16. A roadmap for the Human Developmental Cell Atlas
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Haniffa, Muzlifah, Taylor, Deanne, Linnarsson, Sten, Aronow, Bruce J, Bader, Gary D, Barker, Roger A, Camara, Pablo G, Camp, J Gray, Chédotal, Alain, Copp, Andrew, Etchevers, Heather C, Giacobini, Paolo, Göttgens, Berthold, Guo, Guoji, Hupalowska, Ania, James, Kylie R, Kirby, Emily, Kriegstein, Arnold, Lundeberg, Joakim, Marioni, John C, Meyer, Kerstin B, Niakan, Kathy K, Nilsson, Mats, Olabi, Bayanne, Pe’er, Dana, Regev, Aviv, Rood, Jennifer, Rozenblatt-Rosen, Orit, Satija, Rahul, Teichmann, Sarah A, Treutlein, Barbara, Vento-Tormo, Roser, and Webb, Simone
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Medical Biotechnology ,Biomedical and Clinical Sciences ,Regenerative Medicine ,Stem Cell Research - Nonembryonic - Human ,Stem Cell Research ,Pediatric ,Stem Cell Research - Embryonic - Human ,Human Fetal Tissue ,Genetics ,Human Genome ,Good Health and Well Being ,Adult ,Animals ,Atlases as Topic ,Cell Culture Techniques ,Cell Movement ,Cell Survival ,Cell Tracking ,Cells ,Data Visualization ,Developmental Biology ,Embryo ,Mammalian ,Female ,Fetus ,Humans ,Imaging ,Three-Dimensional ,Information Dissemination ,Male ,Models ,Animal ,Organogenesis ,Organoids ,Stem Cells ,Human Cell Atlas Developmental Biological Network ,General Science & Technology - Abstract
The Human Developmental Cell Atlas (HDCA) initiative, which is part of the Human Cell Atlas, aims to create a comprehensive reference map of cells during development. This will be critical to understanding normal organogenesis, the effect of mutations, environmental factors and infectious agents on human development, congenital and childhood disorders, and the cellular basis of ageing, cancer and regenerative medicine. Here we outline the HDCA initiative and the challenges of mapping and modelling human development using state-of-the-art technologies to create a reference atlas across gestation. Similar to the Human Genome Project, the HDCA will integrate the output from a growing community of scientists who are mapping human development into a unified atlas. We describe the early milestones that have been achieved and the use of human stem-cell-derived cultures, organoids and animal models to inform the HDCA, especially for prenatal tissues that are hard to acquire. Finally, we provide a roadmap towards a complete atlas of human development.
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- 2021
17. Mapping interindividual dynamics of innate immune response at single-cell resolution
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Kumasaka, Natsuhiko, Rostom, Raghd, Huang, Ni, Polanski, Krzysztof, Meyer, Kerstin B., Patel, Sharad, Boyd, Rachel, Gomez, Celine, Barnett, Sam N., Panousis, Nikolaos I., Schwartzentruber, Jeremy, Ghoussaini, Maya, Lyons, Paul A., Calero-Nieto, Fernando J., Göttgens, Berthold, Barnes, Josephine L., Worlock, Kaylee B., Yoshida, Masahiro, Nikolić, Marko Z., Stephenson, Emily, Reynolds, Gary, Haniffa, Muzlifah, Marioni, John C., Stegle, Oliver, Hagai, Tzachi, and Teichmann, Sarah A.
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- 2023
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18. Automatic cell-type harmonization and integration across Human Cell Atlas datasets
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Xu, Chuan, Prete, Martin, Webb, Simone, Jardine, Laura, Stewart, Benjamin J., Hoo, Regina, He, Peng, Meyer, Kerstin B., and Teichmann, Sarah A.
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- 2023
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19. FastCAR: fast correction for ambient RNA to facilitate differential gene expression analysis in single-cell RNA-sequencing datasets
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Berg, Marijn, Petoukhov, Ilya, van den Ende, Inge, Meyer, Kerstin B., Guryev, Victor, Vonk, Judith M., Carpaij, Orestes, Banchero, Martin, Hendriks, Rudi W., van den Berge, Maarten, and Nawijn, Martijn C.
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- 2023
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20. A spatially resolved atlas of the human lung characterizes a gland-associated immune niche
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Madissoon, Elo, Oliver, Amanda J., Kleshchevnikov, Vitalii, Wilbrey-Clark, Anna, Polanski, Krzysztof, Richoz, Nathan, Ribeiro Orsi, Ana, Mamanova, Lira, Bolt, Liam, Elmentaite, Rasa, Pett, J. Patrick, Huang, Ni, Xu, Chuan, He, Peng, Dabrowska, Monika, Pritchard, Sophie, Tuck, Liz, Prigmore, Elena, Perera, Shani, Knights, Andrew, Oszlanczi, Agnes, Hunter, Adam, Vieira, Sara F., Patel, Minal, Lindeboom, Rik G. H., Campos, Lia S., Matsuo, Kazuhiko, Nakayama, Takashi, Yoshida, Masahiro, Worlock, Kaylee B., Nikolić, Marko Z., Georgakopoulos, Nikitas, Mahbubani, Krishnaa T., Saeb-Parsy, Kourosh, Bayraktar, Omer Ali, Clatworthy, Menna R., Stegle, Oliver, Kumasaka, Natsuhiko, Teichmann, Sarah A., and Meyer, Kerstin B.
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- 2023
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21. Organoid modeling of human fetal lung alveolar development reveals mechanisms of cell fate patterning and neonatal respiratory disease
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Lim, Kyungtae, Donovan, Alex P.A., Tang, Walfred, Sun, Dawei, He, Peng, Pett, J. Patrick, Teichmann, Sarah A., Marioni, John C., Meyer, Kerstin B., Brand, Andrea H., and Rawlins, Emma L.
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- 2023
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22. Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome
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Chen, Weiyan, Morabito, Samuel J, Kessenbrock, Kai, Enver, Tariq, Meyer, Kerstin B, and Teschendorff, Andrew E
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Biological Sciences ,Bioinformatics and Computational Biology ,Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Stem Cell Research - Nonembryonic - Non-Human ,Human Genome ,Regenerative Medicine ,Cancer ,Breast Cancer ,Stem Cell Research - Nonembryonic - Human ,Genetics ,Stem Cell Research ,Algorithms ,Breast ,Breast Neoplasms ,Diffusion ,Epithelium ,Female ,Gene Expression Regulation ,Neoplastic ,Humans ,Neoplastic Stem Cells ,Reproducibility of Results ,Risk Factors ,Single-Cell Analysis ,Treatment Outcome ,Adult stem cells ,Statistical methods ,Biological sciences ,Biomedical and clinical sciences - Abstract
Adult stem-cells may serve as the cell-of-origin for cancer, yet their unbiased identification in single cell RNA sequencing data is challenging due to the high dropout rate. In the case of breast, the existence of a bipotent stem-like state is also controversial. Here we apply a marker-free algorithm to scRNA-Seq data from the human mammary epithelium, revealing a high-potency cell-state enriched for an independent mammary stem-cell expression module. We validate this stem-like state in independent scRNA-Seq data. Our algorithm further predicts that the stem-like state is bipotent, a prediction we are able to validate using FACS sorted bulk expression data. The bipotent stem-like state correlates with clinical outcome in basal breast cancer and is characterized by overexpression of YBX1 and ENO1, two modulators of basal breast cancer risk. This study illustrates the power of a marker-free computational framework to identify a novel bipotent stem-like state in the mammary epithelium.
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- 2019
23. Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer
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Li, Ruoyan, Ferdinand, John R., Loudon, Kevin W., Bowyer, Georgina S., Laidlaw, Sean, Muyas, Francesc, Mamanova, Lira, Neves, Joana B., Bolt, Liam, Fasouli, Eirini S., Lawson, Andrew R.J., Young, Matthew D., Hooks, Yvette, Oliver, Thomas R.W., Butler, Timothy M., Armitage, James N., Aho, Tev, Riddick, Antony C.P., Gnanapragasam, Vincent, Welsh, Sarah J., Meyer, Kerstin B., Warren, Anne Y., Tran, Maxine G.B., Stewart, Grant D., Cortés-Ciriano, Isidro, Behjati, Sam, Clatworthy, Menna R., Campbell, Peter J., Teichmann, Sarah A., and Mitchell, Thomas J.
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- 2022
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24. A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates
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He, Peng, Lim, Kyungtae, Sun, Dawei, Pett, Jan Patrick, Jeng, Quitz, Polanski, Krzysztof, Dong, Ziqi, Bolt, Liam, Richardson, Laura, Mamanova, Lira, Dabrowska, Monika, Wilbrey-Clark, Anna, Madissoon, Elo, Tuong, Zewen Kelvin, Dann, Emma, Suo, Chenqu, Goh, Isaac, Yoshida, Masahiro, Nikolić, Marko Z., Janes, Sam M., He, Xiaoling, Barker, Roger A., Teichmann, Sarah A., Marioni, John C., Meyer, Kerstin B., and Rawlins, Emma L.
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- 2022
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25. Spatial Transcriptomics of the Respiratory System.
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Megas, Stathis, Wilbrey-Clark, Anna, Maartens, Aidan, Teichmann, Sarah A., and Meyer, Kerstin B.
- Abstract
Over the last decade, single-cell genomics has revealed remarkable heterogeneity and plasticity of cell types in the lungs and airways. The challenge now is to understand how these cell types interact in three-dimensional space to perform lung functions, facilitating airflow and gas exchange while simultaneously providing barrier function to avoid infection. An explosion in novel spatially resolved gene expression technologies, coupled with computational tools that harness machine learning and deep learning, now promise to address this challenge. Here, we review the most commonly used spatial analysis workflows, highlighting their advantages and limitations, and outline recent developments in machine learning and artificial intelligence that will augment how we interpret spatial data. Together these technologies have the potential to transform our understanding of the respiratory system in health and disease, and we showcase studies in lung development, COVID-19, lung cancer, and fibrosis where spatially resolved transcriptomics is already providing novel insights. [ABSTRACT FROM AUTHOR]
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- 2025
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26. Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts infectivity and fusogenicity
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Meng, Bo, Abdullahi, Adam, Ferreira, Isabella A. T. M., Goonawardane, Niluka, Saito, Akatsuki, Kimura, Izumi, Yamasoba, Daichi, Gerber, Pehuén Pereyra, Fatihi, Saman, Rathore, Surabhi, Zepeda, Samantha K., Papa, Guido, Kemp, Steven A., Ikeda, Terumasa, Toyoda, Mako, Tan, Toong Seng, Kuramochi, Jin, Mitsunaga, Shigeki, Ueno, Takamasa, Shirakawa, Kotaro, Takaori-Kondo, Akifumi, Brevini, Teresa, Mallery, Donna L., Charles, Oscar J., Bowen, John E., Joshi, Anshu, Walls, Alexandra C., Jackson, Laurelle, Martin, Darren, Smith, Kenneth G. C., Bradley, John, Briggs, John A. G., Choi, Jinwook, Madissoon, Elo, Meyer, Kerstin B., Mlcochova, Petra, Ceron-Gutierrez, Lourdes, Doffinger, Rainer, Teichmann, Sarah A., Fisher, Andrew J., Pizzuto, Matteo S., de Marco, Anna, Corti, Davide, Hosmillo, Myra, Lee, Joo Hyeon, James, Leo C., Thukral, Lipi, Veesler, David, Sigal, Alex, Sampaziotis, Fotios, Goodfellow, Ian G., Matheson, Nicholas J., Sato, Kei, and Gupta, Ravindra K.
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- 2022
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27. Local and systemic responses to SARS-CoV-2 infection in children and adults
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Yoshida, Masahiro, Worlock, Kaylee B., Huang, Ni, Lindeboom, Rik G. H., Butler, Colin R., Kumasaka, Natsuhiko, Dominguez Conde, Cecilia, Mamanova, Lira, Bolt, Liam, Richardson, Laura, Polanski, Krzysztof, Madissoon, Elo, Barnes, Josephine L., Allen-Hyttinen, Jessica, Kilich, Eliz, Jones, Brendan C., de Wilton, Angus, Wilbrey-Clark, Anna, Sungnak, Waradon, Pett, J. Patrick, Weller, Juliane, Prigmore, Elena, Yung, Henry, Mehta, Puja, Saleh, Aarash, Saigal, Anita, Chu, Vivian, Cohen, Jonathan M., Cane, Clare, Iordanidou, Aikaterini, Shibuya, Soichi, Reuschl, Ann-Kathrin, Herczeg, Iván T., Argento, A. Christine, Wunderink, Richard G., Smith, Sean B., Poor, Taylor A., Gao, Catherine A., Dematte, Jane E., Reynolds, Gary, Haniffa, Muzlifah, Bowyer, Georgina S., Coates, Matthew, Clatworthy, Menna R., Calero-Nieto, Fernando J., Göttgens, Berthold, O’Callaghan, Christopher, Sebire, Neil J., Jolly, Clare, De Coppi, Paolo, Smith, Claire M., Misharin, Alexander V., Janes, Sam M., Teichmann, Sarah A., Nikolić, Marko Z., and Meyer, Kerstin B.
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- 2022
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28. SOX9 maintains human foetal lung tip progenitor state by enhancing WNT and RTK signalling
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Sun, Dawei, Llora Batlle, Oriol, van den Ameele, Jelle, Thomas, John C, He, Peng, Lim, Kyungtae, Tang, Walfred, Xu, Chufan, Meyer, Kerstin B, Teichmann, Sarah A, Marioni, John C, Jackson, Stephen P, Brand, Andrea H, and Rawlins, Emma L
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- 2022
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29. Blood and immune development in human fetal bone marrow and Down syndrome
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Jardine, Laura, Webb, Simone, Goh, Issac, Quiroga Londoño, Mariana, Reynolds, Gary, Mather, Michael, Olabi, Bayanne, Stephenson, Emily, Botting, Rachel A., Horsfall, Dave, Engelbert, Justin, Maunder, Daniel, Mende, Nicole, Murnane, Caitlin, Dann, Emma, McGrath, Jim, King, Hamish, Kucinski, Iwo, Queen, Rachel, Carey, Christopher D., Shrubsole, Caroline, Poyner, Elizabeth, Acres, Meghan, Jones, Claire, Ness, Thomas, Coulthard, Rowen, Elliott, Natalina, O’Byrne, Sorcha, Haltalli, Myriam L. R., Lawrence, John E., Lisgo, Steven, Balogh, Petra, Meyer, Kerstin B., Prigmore, Elena, Ambridge, Kirsty, Jain, Mika Sarkin, Efremova, Mirjana, Pickard, Keir, Creasey, Thomas, Bacardit, Jaume, Henderson, Deborah, Coxhead, Jonathan, Filby, Andrew, Hussain, Rafiqul, Dixon, David, McDonald, David, Popescu, Dorin-Mirel, Kowalczyk, Monika S., Li, Bo, Ashenberg, Orr, Tabaka, Marcin, Dionne, Danielle, Tickle, Timothy L., Slyper, Michal, Rozenblatt-Rosen, Orit, Regev, Aviv, Behjati, Sam, Laurenti, Elisa, Wilson, Nicola K., Roy, Anindita, Göttgens, Berthold, Roberts, Irene, Teichmann, Sarah A., and Haniffa, Muzlifah
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- 2021
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30. Cells of the human intestinal tract mapped across space and time
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Elmentaite, Rasa, Kumasaka, Natsuhiko, Roberts, Kenny, Fleming, Aaron, Dann, Emma, King, Hamish W., Kleshchevnikov, Vitalii, Dabrowska, Monika, Pritchard, Sophie, Bolt, Liam, Vieira, Sara F., Mamanova, Lira, Huang, Ni, Perrone, Francesca, Goh Kai’En, Issac, Lisgo, Steven N., Katan, Matilda, Leonard, Steven, Oliver, Thomas R. W., Hook, C. Elizabeth, Nayak, Komal, Campos, Lia S., Domínguez Conde, Cecilia, Stephenson, Emily, Engelbert, Justin, Botting, Rachel A., Polanski, Krzysztof, van Dongen, Stijn, Patel, Minal, Morgan, Michael D., Marioni, John C., Bayraktar, Omer Ali, Meyer, Kerstin B., He, Xiaoling, Barker, Roger A., Uhlig, Holm H., Mahbubani, Krishnaa T., Saeb-Parsy, Kourosh, Zilbauer, Matthias, Clatworthy, Menna R., Haniffa, Muzlifah, James, Kylie R., and Teichmann, Sarah A.
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- 2021
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31. Germline polymorphisms in an enhancer of PSIP1 are associated with progression-free survival in epithelial ovarian cancer
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French, Juliet D, Johnatty, Sharon E, Lu, Yi, Beesley, Jonathan, Gao, Bo, Kalimutho, Murugan, Henderson, Michelle J, Russell, Amanda J, Kar, Siddhartha, Chen, Xiaoqing, Hillman, Kristine M, Kaufmann, Susanne, Sivakumaran, Haran, O’Reilly, Martin, Wang, Chen, Korbie, Darren J, Group, Australian Ovarian Cancer Study, Study, Australian Cancer, Lambrechts, Diether, Despierre, Evelyn, Van Nieuwenhuysen, Els, Lambrechts, Sandrina, Vergote, Ignace, Karlan, Beth, Lester, Jenny, Orsulic, Sandra, Walsh, Christine, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Hein, Alexander, Matsuo, Keitaro, Hosono, Satoyo, Pisterer, Jacobus, Hillemanns, Peter, Nakanishi, Toru, Yatabe, Yasushi, Goodman, Marc T, Lurie, Galina, Matsuno, Rayna K, Thompson, Pamela J, Pejovic, Tanja, Bean, Yukie, Heitz, Florian, Harter, Philipp, du Bois, Andreas, Schwaab, Ira, Hogdall, Estrid, Kjaer, Susanne K, Jensen, Allan, Hogdall, Claus, Lundvall, Lene, Engelholm, Svend Aage, Brown, Bob, Flanagan, James M, Metcalf, Michelle D, Siddiqui, Nadeem, Sellers, Thomas, Fridley, Brooke, Cunningham, Julie, Schildkraut, Joellen M, Iversen, Ed, Weber, Rachel Palmieri, Brennan, Donal, Berchuck, Andrew, Pharoah, Paul, Harnett, Paul, Norris, Murray D, Haber, Michelle, Goode, Ellen L, Lee, Jason S, Khanna, Kum Kum, Meyer, Kerstin B, Chenevix-Trench, Georgia, deFazio, Anna, Edwards, Stacey L, MacGregor, Stuart, and Consortium, on behalf of the Ovarian Cancer Association
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Genetics ,Rare Diseases ,Human Genome ,Ovarian Cancer ,Cancer ,Aetiology ,2.1 Biological and endogenous factors ,Adaptor Proteins ,Signal Transducing ,Apoptosis ,Biomarkers ,Tumor ,Cell Proliferation ,Chromatin Immunoprecipitation ,Cohort Studies ,Cystadenocarcinoma ,Serous ,Electrophoretic Mobility Shift Assay ,Enhancer Elements ,Genetic ,Fallopian Tube Neoplasms ,Female ,Follow-Up Studies ,Germ-Line Mutation ,Humans ,Ovarian Neoplasms ,Peritoneal Neoplasms ,Polymorphism ,Single Nucleotide ,Prognosis ,RNA ,Messenger ,Real-Time Polymerase Chain Reaction ,Reverse Transcriptase Polymerase Chain Reaction ,Survival Rate ,Transcription Factors ,Tumor Cells ,Cultured ,epithelial ovarian cancer ,progression free survival ,genome-wide association study ,PSIP1 ,chromosome conformation capture ,Australian Ovarian Cancer Study Group ,Australian Ovarian Cancer Study ,Ovarian Cancer Association Consortium ,Oncology and Carcinogenesis - Abstract
Women with epithelial ovarian cancer (EOC) are usually treated with platinum/taxane therapy after cytoreductive surgery but there is considerable inter-individual variation in response. To identify germline single-nucleotide polymorphisms (SNPs) that contribute to variations in individual responses to chemotherapy, we carried out a multi-phase genome-wide association study (GWAS) in 1,244 women diagnosed with serous EOC who were treated with the same first-line chemotherapy, carboplatin and paclitaxel. We identified two SNPs (rs7874043 and rs72700653) in TTC39B (best P=7x10-5, HR=1.90, for rs7874043) associated with progression-free survival (PFS). Functional analyses show that both SNPs lie in a putative regulatory element (PRE) that physically interacts with the promoters of PSIP1, CCDC171 and an alternative promoter of TTC39B. The C allele of rs7874043 is associated with poor PFS and showed increased binding of the Sp1 transcription factor, which is critical for chromatin interactions with PSIP1. Silencing of PSIP1 significantly impaired DNA damage-induced Rad51 nuclear foci and reduced cell viability in ovarian cancer lines. PSIP1 (PC4 and SFRS1 Interacting Protein 1) is known to protect cells from stress-induced apoptosis, and high expression is associated with poor PFS in EOC patients. We therefore suggest that the minor allele of rs7874043 confers poor PFS by increasing PSIP1 expression.
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- 2016
32. The Human Lung Cell Atlas: a transformational resource for cells of the respiratory system
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Meyer, Kerstin B., primary, Wilbrey-Clark, Anna, additional, Nawijn, Martijn, additional, and Teichmann, Sarah A., additional
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- 2021
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33. Fine-Scale Mapping of the 5q11.2 Breast Cancer Locus Reveals at Least Three Independent Risk Variants Regulating MAP3K1
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Glubb, Dylan M, Maranian, Mel J, Michailidou, Kyriaki, Pooley, Karen A, Meyer, Kerstin B, Kar, Siddhartha, Carlebur, Saskia, O’Reilly, Martin, Betts, Joshua A, Hillman, Kristine M, Kaufmann, Susanne, Beesley, Jonathan, Canisius, Sander, Hopper, John L, Southey, Melissa C, Tsimiklis, Helen, Apicella, Carmel, Schmidt, Marjanka K, Broeks, Annegien, Hogervorst, Frans B, van der Schoot, C Ellen, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Ruebner, Matthias, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, dos-Santos-Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Pharoah, Paul DP, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Yang, Rongxi, Surowy, Harald, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, González-Neira, Anna, Benitez, Javier, Zamora, M Pilar, Perez, Jose Ignacio Arias, Anton-Culver, Hoda, Neuhausen, Susan L, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Ko, Yon-Dschun, Brüning, Thomas, Network, The GENICA, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Tanaka, Hideo, Dörk, Thilo, Bogdanova, Natalia V, Helbig, Sonja, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Investigators, kConFab, Wu, Anna H, Tseng, Chiu-chen, Van Den Berg, David, Stram, Daniel O, Lambrechts, Diether, Zhao, Hui, Weltens, Caroline, van Limbergen, Erik, Chang-Claude, Jenny, Flesch-Janys, Dieter, Rudolph, Anja, Seibold, Petra, and Radice, Paolo
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Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Oncology and Carcinogenesis ,Human Genome ,Prevention ,Breast Cancer ,Cancer ,Estrogen ,2.1 Biological and endogenous factors ,Aetiology ,Alleles ,Breast Neoplasms ,Case-Control Studies ,Cell Line ,Tumor ,Chromosome Mapping ,Chromosomes ,Human ,Pair 5 ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genotyping Techniques ,Humans ,MAP Kinase Kinase Kinase 1 ,MCF-7 Cells ,Polymorphism ,Single Nucleotide ,Promoter Regions ,Genetic ,Quantitative Trait Loci ,Racial Groups ,Risk Factors ,GENICA Network ,kConFab Investigators ,Norwegian Breast Cancer Study ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Genome-wide association studies (GWASs) have revealed SNP rs889312 on 5q11.2 to be associated with breast cancer risk in women of European ancestry. In an attempt to identify the biologically relevant variants, we analyzed 909 genetic variants across 5q11.2 in 103,991 breast cancer individuals and control individuals from 52 studies in the Breast Cancer Association Consortium. Multiple logistic regression analyses identified three independent risk signals: the strongest associations were with 15 correlated variants (iCHAV1), where the minor allele of the best candidate, rs62355902, associated with significantly increased risks of both estrogen-receptor-positive (ER(+): odds ratio [OR] = 1.24, 95% confidence interval [CI] = 1.21-1.27, ptrend = 5.7 × 10(-44)) and estrogen-receptor-negative (ER(-): OR = 1.10, 95% CI = 1.05-1.15, ptrend = 3.0 × 10(-4)) tumors. After adjustment for rs62355902, we found evidence of association of a further 173 variants (iCHAV2) containing three subsets with a range of effects (the strongest was rs113317823 [pcond = 1.61 × 10(-5)]) and five variants composing iCHAV3 (lead rs11949391; ER(+): OR = 0.90, 95% CI = 0.87-0.93, pcond = 1.4 × 10(-4)). Twenty-six percent of the prioritized candidate variants coincided with four putative regulatory elements that interact with the MAP3K1 promoter through chromatin looping and affect MAP3K1 promoter activity. Functional analysis indicated that the cancer risk alleles of four candidates (rs74345699 and rs62355900 [iCHAV1], rs16886397 [iCHAV2a], and rs17432750 [iCHAV3]) increased MAP3K1 transcriptional activity. Chromatin immunoprecipitation analysis revealed diminished GATA3 binding to the minor (cancer-protective) allele of rs17432750, indicating a mechanism for its action. We propose that the cancer risk alleles act to increase MAP3K1 expression in vivo and might promote breast cancer cell survival.
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- 2015
34. Single cell derived mRNA signals across human kidney tumors
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Young, Matthew D., Mitchell, Thomas J., Custers, Lars, Margaritis, Thanasis, Morales-Rodriguez, Francisco, Kwakwa, Kwasi, Khabirova, Eleonora, Kildisiute, Gerda, Oliver, Thomas R. W., de Krijger, Ronald R., van den Heuvel-Eibrink, Marry M., Comitani, Federico, Piapi, Alice, Bugallo-Blanco, Eva, Thevanesan, Christine, Burke, Christina, Prigmore, Elena, Ambridge, Kirsty, Roberts, Kenny, Braga, Felipe A. Vieira, Coorens, Tim H. H., Del Valle, Ignacio, Wilbrey-Clark, Anna, Mamanova, Lira, Stewart, Grant D., Gnanapragasam, Vincent J., Rampling, Dyanne, Sebire, Neil, Coleman, Nicholas, Hook, Liz, Warren, Anne, Haniffa, Muzlifah, Kool, Marcel, Pfister, Stefan M., Achermann, John C., He, Xiaoling, Barker, Roger A., Shlien, Adam, Bayraktar, Omer A., Teichmann, Sarah A., Holstege, Frank C., Meyer, Kerstin B., Drost, Jarno, Straathof, Karin, and Behjati, Sam
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- 2021
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35. Molecular connectomics: Placing cells into morphological tissue context.
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Megas, Stathis, Yayon, Nadav, Meyer, Kerstin B., and Teichmann, Sarah A.
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BIOLOGICAL systems ,ARTIFICIAL intelligence ,MACHINE learning ,TISSUES - Abstract
Here we propose "molecular connectomics" to link molecular and morphological cell features in three dimensions across scales, using machine learning and artificial intelligence to reveal emergent properties of complex biological systems. This Perspective introduces "molecular connectomics" to link molecular and morphological cell features in three dimensions across scales, using machine learning and artificial intelligence to reveal emergent properties of complex biological systems. [ABSTRACT FROM AUTHOR]
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- 2024
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36. Genome-wide CRISPR Screens in T Helper Cells Reveal Pervasive Crosstalk between Activation and Differentiation
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Henriksson, Johan, Chen, Xi, Gomes, Tomás, Ullah, Ubaid, Meyer, Kerstin B., Miragaia, Ricardo, Duddy, Graham, Pramanik, Jhuma, Yusa, Kosuke, Lahesmaa, Riitta, and Teichmann, Sarah A.
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- 2019
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37. Obesity Is Associated with Attenuated Tissue Immunity in COVID-19
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Guo, Shuang A, Bowyer, Georgina S, Ferdinand, John R, Maes, Mailis, Tuong, Zewen K, Gillman, Eleanor, Liao, Mingfeng, Lindeboom, Rik GH, Yoshida, Masahiro, Worlock, Kaylee, Gopee, Hudaa, Stephenson, Emily, Gao, Catherine A, Lyons, Paul A, Smith, Kenneth GC, Haniffa, Muzlifah, Meyer, Kerstin B, Nikolić, Marko Z, Zhang, Zheng, Wunderink, Richard G, Misharin, Alexander V, Dougan, Gordon, Navapurkar, Vilas, Teichmann, Sarah A, Conway Morris, Andrew, Clatworthy, Menna R, Guo, Shuang A [0000-0002-1712-9180], Bowyer, Georgina S [0000-0002-2058-4045], Ferdinand, John R [0000-0003-0936-0128], Maes, Mailis [0000-0002-0266-6557], Tuong, Zewen K [0000-0002-6735-6808], Gillman, Eleanor [0000-0002-4221-7270], Lindeboom, Rik GH [0000-0002-3660-504X], Yoshida, Masahiro [0000-0002-3521-5322], Worlock, Kaylee [0000-0002-5656-7634], Gopee, Hudaa [0000-0001-8507-5682], Stephenson, Emily [0000-0002-4244-4019], Gao, Catherine A [0000-0001-5576-3943], Lyons, Paul A [0000-0001-7035-8997], Smith, Kenneth GC [0000-0003-3829-4326], Haniffa, Muzlifah [0000-0002-3927-2084], Meyer, Kerstin B [0000-0001-5906-1498], Nikolić, Marko Z [0000-0001-6304-6848], Zhang, Zheng [0000-0002-3544-1389], Wunderink, Richard G [0000-0002-8527-4195], Misharin, Alexander V [0000-0003-2879-3789], Dougan, Gordon [0000-0003-0022-965X], Navapurkar, Vilas [0000-0002-3610-3568], Teichmann, Sarah A [0000-0002-6294-6366], Conway Morris, Andrew [0000-0002-3211-3216], Clatworthy, Menna R [0000-0002-3340-9828], and Apollo - University of Cambridge Repository
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Adult ,Pulmonary and Respiratory Medicine ,obesity ,Pediatric Obesity ,SARS-CoV-2 ,COVID-19 ,Critical Care and Intensive Care Medicine ,single-cell RNA sequencing ,type-I interferon ,Interferon Type I ,Leukocytes, Mononuclear ,bronchoalveolar lavage ,Humans ,Child ,Lung - Abstract
Rationale: Obesity affects 40% of U.S. adults, is associated with a proinflammatory state, and presents a significant risk factor for the development of severe coronavirus disease (COVID-19). To date, there is limited information on how obesity might affect immune cell responses in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Objectives: To determine the impact of obesity on respiratory tract immunity in COVID-19 across the human lifespan. Methods: We analyzed single-cell transcriptomes from BAL in three ventilated adult cohorts with (n = 24) or without (n = 9) COVID-19 from nasal immune cells in children with (n = 14) or without (n = 19) COVID-19, and from peripheral blood mononuclear cells in an independent adult COVID-19 cohort (n = 42), comparing obese and nonobese subjects. Measurements and Main Results: Surprisingly, we found that obese adult subjects had attenuated lung immune or inflammatory responses in SARS-CoV-2 infection, with decreased expression of IFN-α, IFN-γ, and TNF-α (tumor necrosis factor α) response gene signatures in almost all lung epithelial and immune cell subsets, and lower expression of IFNG and TNF in specific lung immune cells. Peripheral blood immune cells in an independent adult cohort showed a similar but less marked reduction in type-I IFN and IFNγ response genes, as well as decreased serum IFNα, in obese patients with SARS-CoV-2. Nasal immune cells from obese children with COVID-19 also showed reduced enrichment of IFN-α and IFN-γ response genes. Conclusions: These findings show blunted tissue immune responses in obese patients with COVID-19, with implications for treatment stratification, supporting the specific application of inhaled recombinant type-I IFNs in this vulnerable subset.
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- 2023
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38. Distinct microbial and immune niches of the human colon
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James, Kylie R., Gomes, Tomas, Elmentaite, Rasa, Kumar, Nitin, Gulliver, Emily L., King, Hamish W., Stares, Mark D., Bareham, Bethany R., Ferdinand, John R., Petrova, Velislava N., Polański, Krzysztof, Forster, Samuel C., Jarvis, Lorna B., Suchanek, Ondrej, Howlett, Sarah, James, Louisa K., Jones, Joanne L., Meyer, Kerstin B., Clatworthy, Menna R., Saeb-Parsy, Kourosh, Lawley, Trevor D., and Teichmann, Sarah A.
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- 2020
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39. Fine-scale mapping of the FGFR2 breast cancer risk locus: putative functional variants differentially bind FOXA1 and E2F1.
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Meyer, Kerstin B, O'Reilly, Martin, Michailidou, Kyriaki, Carlebur, Saskia, Edwards, Stacey L, French, Juliet D, Prathalingham, Radhika, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, de Santiago, Ines, Hopper, John L, Tsimiklis, Helen, Apicella, Carmel, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Van 't Veer, Laura J, Hogervorst, Frans B, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Lux, Michael P, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, Dos Santos Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marme, Federick, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L, Zamora, M Pilar, Arias, Jose I, Benitez, Javier, Neuhausen, Susan, Anton-Culver, Hoda, Ziogas, Argyrios, Dur, Christina C, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Schmutzler, Rita K, Engel, Christoph, Ditsch, Nina, Brauch, Hiltrud, Brüning, Thomas, Ko, Yon-Dschun, GENICA Network, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Yatabe, Yasushi, Dörk, Thilo, Helbig, Sonja, Bogdanova, Natalia V, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Chenevix-Trench, Georgia, kConFab Investigators, Australian Ovarian Cancer Study Group, Wu, Anna H, Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel O, Lambrechts, Diether, Thienpont, Bernard, Christiaens, Marie-Rose, Smeets, Ann, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, and Radice, Paolo
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GENICA Network ,kConFab Investigators ,Australian Ovarian Cancer Study Group ,Cell Line ,Tumor ,Humans ,Breast Neoplasms ,Case-Control Studies ,Chromatin Immunoprecipitation ,Chromosome Mapping ,Gene Expression Regulation ,Neoplastic ,RNA Interference ,Binding Sites ,Protein Binding ,Haplotypes ,Alleles ,Female ,E2F1 Transcription Factor ,Receptor ,Fibroblast Growth Factor ,Type 2 ,Hepatocyte Nuclear Factor 3-alpha ,Promoter Regions ,Genetic ,Genetic Loci ,Position-Specific Scoring Matrices ,Genetic Association Studies ,Asian People ,White People ,Black People ,Cancer ,Human Genome ,Breast Cancer ,Genetics ,Prevention ,2.1 Biological and endogenous factors ,Aetiology ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
The 10q26 locus in the second intron of FGFR2 is the locus most strongly associated with estrogen-receptor-positive breast cancer in genome-wide association studies. We conducted fine-scale mapping in case-control studies genotyped with a custom chip (iCOGS), comprising 41 studies (n = 89,050) of European ancestry, 9 Asian ancestry studies (n = 13,983), and 2 African ancestry studies (n = 2,028) from the Breast Cancer Association Consortium. We identified three statistically independent risk signals within the locus. Within risk signals 1 and 3, genetic analysis identified five and two variants, respectively, highly correlated with the most strongly associated SNPs. By using a combination of genetic fine mapping, data on DNase hypersensitivity, and electrophoretic mobility shift assays to study protein-DNA binding, we identified rs35054928, rs2981578, and rs45631563 as putative functional SNPs. Chromatin immunoprecipitation showed that FOXA1 preferentially bound to the risk-associated allele (C) of rs2981578 and was able to recruit ERα to this site in an allele-specific manner, whereas E2F1 preferentially bound the risk variant of rs35054928. The risk alleles were preferentially found in open chromatin and bound by Ser5 phosphorylated RNA polymerase II, suggesting that the risk alleles are associated with changes in transcription. Chromatin conformation capture demonstrated that the risk region was able to interact with the promoter of FGFR2, the likely target gene of this risk region. A role for FOXA1 in mediating breast cancer susceptibility at this locus is consistent with the finding that the FGFR2 risk locus primarily predisposes to estrogen-receptor-positive disease.
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- 2013
40. Functional Variants at the 11q13 Risk Locus for Breast Cancer Regulate Cyclin D1 Expression through Long-Range Enhancers
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French, Juliet D, Ghoussaini, Maya, Edwards, Stacey L, Meyer, Kerstin B, Michailidou, Kyriaki, Ahmed, Shahana, Khan, Sofia, Maranian, Mel J, O’Reilly, Martin, Hillman, Kristine M, Betts, Joshua A, Carroll, Thomas, Bailey, Peter J, Dicks, Ed, Beesley, Jonathan, Tyrer, Jonathan, Maia, Ana-Teresa, Beck, Andrew, Knoblauch, Nicholas W, Chen, Constance, Kraft, Peter, Barnes, Daniel, González-Neira, Anna, Alonso, M Rosario, Herrero, Daniel, Tessier, Daniel C, Vincent, Daniel, Bacot, Francois, Luccarini, Craig, Baynes, Caroline, Conroy, Don, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Verhoef, Senno, Cornelissen, Sten, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Loehberg, Christian R, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, dos Santos Silva, Isabel, Johnson, Nichola, Aitken, Zoe, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L, Zamora, M Pilar, Perez, Jose Ignacio Arias, Benitez, Javier, Anton-Culver, Hoda, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Lichtner, Peter, Schmutzler, Rita K, Engel, Christoph, Brauch, Hiltrud, Hamann, Ute, Justenhoven, Christina, Network, The GENICA, Aaltonen, Kirsimari, Heikkilä, Päivi, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Sueta, Aiko, Bogdanova, Natalia V, Antonenkova, Natalia N, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, and Kataja, Vesa
- Subjects
Biological Sciences ,Biomedical and Clinical Sciences ,Genetics ,Oncology and Carcinogenesis ,Breast Cancer ,Cancer ,Aetiology ,2.1 Biological and endogenous factors ,Binding Sites ,Breast Neoplasms ,Case-Control Studies ,Cell Line ,Tumor ,Chromatin ,Chromatin Immunoprecipitation ,Chromosomes ,Human ,Pair 11 ,Cyclin D1 ,Electrophoretic Mobility Shift Assay ,Enhancer Elements ,Genetic ,Female ,GATA3 Transcription Factor ,Gene Expression Regulation ,Neoplastic ,Humans ,Luciferases ,Polymorphism ,Single Nucleotide ,Promoter Regions ,Genetic ,RNA ,Messenger ,RNA ,Small Interfering ,Real-Time Polymerase Chain Reaction ,Reverse Transcriptase Polymerase Chain Reaction ,Silencer Elements ,Transcriptional ,ets-Domain Protein Elk-4 ,GENICA Network ,kConFab Investigators ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Analysis of 4,405 variants in 89,050 European subjects from 41 case-control studies identified three independent association signals for estrogen-receptor-positive tumors at 11q13. The strongest signal maps to a transcriptional enhancer element in which the G allele of the best candidate causative variant rs554219 increases risk of breast cancer, reduces both binding of ELK4 transcription factor and luciferase activity in reporter assays, and may be associated with low cyclin D1 protein levels in tumors. Another candidate variant, rs78540526, lies in the same enhancer element. Risk association signal 2, rs75915166, creates a GATA3 binding site within a silencer element. Chromatin conformation studies demonstrate that these enhancer and silencer elements interact with each other and with their likely target gene, CCND1.
- Published
- 2013
41. Decoding human fetal liver haematopoiesis
- Author
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Popescu, Dorin-Mirel, Botting, Rachel A., Stephenson, Emily, Green, Kile, Webb, Simone, Jardine, Laura, Calderbank, Emily F., Polanski, Krzysztof, Goh, Issac, Efremova, Mirjana, Acres, Meghan, Maunder, Daniel, Vegh, Peter, Gitton, Yorick, Park, Jong-Eun, Vento-Tormo, Roser, Miao, Zhichao, Dixon, David, Rowell, Rachel, McDonald, David, Fletcher, James, Poyner, Elizabeth, Reynolds, Gary, Mather, Michael, Moldovan, Corina, Mamanova, Lira, Greig, Frankie, Young, Matthew D., Meyer, Kerstin B., Lisgo, Steven, Bacardit, Jaume, Fuller, Andrew, Millar, Ben, Innes, Barbara, Lindsay, Susan, Stubbington, Michael J. T., Kowalczyk, Monika S., Li, Bo, Ashenberg, Orr, Tabaka, Marcin, Dionne, Danielle, Tickle, Timothy L., Slyper, Michal, Rozenblatt-Rosen, Orit, Filby, Andrew, Carey, Peter, Villani, Alexandra-Chloé, Roy, Anindita, Regev, Aviv, Chédotal, Alain, Roberts, Irene, Göttgens, Berthold, Behjati, Sam, Laurenti, Elisa, Teichmann, Sarah A., and Haniffa, Muzlifah
- Published
- 2019
- Full Text
- View/download PDF
42. A cellular census of human lungs identifies novel cell states in health and in asthma
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Vieira Braga, Felipe A., Kar, Gozde, Berg, Marijn, Carpaij, Orestes A., Polanski, Krzysztof, Simon, Lukas M., Brouwer, Sharon, Gomes, Tomás, Hesse, Laura, Jiang, Jian, Fasouli, Eirini S., Efremova, Mirjana, Vento-Tormo, Roser, Talavera-López, Carlos, Jonker, Marnix R., Affleck, Karen, Palit, Subarna, Strzelecka, Paulina M., Firth, Helen V., Mahbubani, Krishnaa T., Cvejic, Ana, Meyer, Kerstin B., Saeb-Parsy, Kourosh, Luinge, Marjan, Brandsma, Corry-Anke, Timens, Wim, Angelidis, Ilias, Strunz, Maximilian, Koppelman, Gerard H., van Oosterhout, Antoon J., Schiller, Herbert B., Theis, Fabian J., van den Berge, Maarten, Nawijn, Martijn C., and Teichmann, Sarah A.
- Published
- 2019
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43. Early human lung immune cell development and its role in epithelial cell fate
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Barnes, Josephine L., primary, Yoshida, Masahiro, additional, He, Peng, additional, Worlock, Kaylee B., additional, Lindeboom, Rik G.H., additional, Suo, Chenqu, additional, Pett, J. Patrick, additional, Wilbrey-Clark, Anna, additional, Dann, Emma, additional, Mamanova, Lira, additional, Richardson, Laura, additional, Polanski, Krzysztof, additional, Pennycuick, Adam, additional, Allen-Hyttinen, Jessica, additional, Herczeg, Iván T., additional, Arzili, Romina, additional, Hynds, Robert E., additional, Teixeira, Vitor H., additional, Haniffa, Muzlifah, additional, Lim, Kyungtae, additional, Sun, Dawei, additional, Rawlins, Emma L., additional, Oliver, Amanda J., additional, Lyons, Paul A., additional, Marioni, John C., additional, Ruhrberg, Christiana, additional, Tuong, Zewen Kelvin, additional, Clatworthy, Menna R., additional, Reading, James L., additional, Janes, Sam M., additional, Teichmann, Sarah A., additional, Meyer, Kerstin B., additional, and Nikolić, Marko Z., additional
- Published
- 2023
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44. User-friendly, scalable tools and workflows for single-cell RNA-seq analysis
- Author
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Moreno, Pablo, Huang, Ni, Manning, Jonathan R., Mohammed, Suhaib, Solovyev, Andrey, Polanski, Krzysztof, Bacon, Wendi, Chazarra, Ruben, Talavera-López, Carlos, Doyle, Maria A., Marnier, Guilhem, Grüning, Björn, Rasche, Helena, George, Nancy, Fexova, Silvie Korena, Alibi, Mohamed, Miao, Zhichao, Perez-Riverol, Yasset, Haeussler, Maximilian, Brazma, Alvis, Teichmann, Sarah, Meyer, Kerstin B., and Papatheodorou, Irene
- Published
- 2021
- Full Text
- View/download PDF
45. Single-cell reconstruction of the early maternal–fetal interface in humans
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Vento-Tormo, Roser, Efremova, Mirjana, Botting, Rachel A., Turco, Margherita Y., Vento-Tormo, Miquel, Meyer, Kerstin B., Park, Jong-Eun, Stephenson, Emily, Polański, Krzysztof, Goncalves, Angela, Gardner, Lucy, Holmqvist, Staffan, Henriksson, Johan, Zou, Angela, Sharkey, Andrew M., Millar, Ben, Innes, Barbara, Wood, Laura, Wilbrey-Clark, Anna, Payne, Rebecca P., Ivarsson, Martin A., Lisgo, Steve, Filby, Andrew, Rowitch, David H., Bulmer, Judith N., Wright, Gavin J., Stubbington, Michael J. T., Haniffa, Muzlifah, Moffett, Ashley, and Teichmann, Sarah A.
- Published
- 2018
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46. Yolk sac cell atlas reveals multiorgan functions during human early development
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Goh, Issac, primary, Botting, Rachel A., additional, Rose, Antony, additional, Webb, Simone, additional, Engelbert, Justin, additional, Gitton, Yorick, additional, Stephenson, Emily, additional, Quiroga Londoño, Mariana, additional, Mather, Michael, additional, Mende, Nicole, additional, Imaz-Rosshandler, Ivan, additional, Yang, Lu, additional, Horsfall, Dave, additional, Basurto-Lozada, Daniela, additional, Chipampe, Nana-Jane, additional, Rook, Victoria, additional, Lee, Jimmy Tsz Hang, additional, Ton, Mai-Linh, additional, Keitley, Daniel, additional, Mazin, Pavel, additional, Vijayabaskar, M. S., additional, Hannah, Rebecca, additional, Gambardella, Laure, additional, Green, Kile, additional, Ballereau, Stephane, additional, Inoue, Megumi, additional, Tuck, Elizabeth, additional, Lorenzi, Valentina, additional, Kwakwa, Kwasi, additional, Alsinet, Clara, additional, Olabi, Bayanne, additional, Miah, Mohi, additional, Admane, Chloe, additional, Popescu, Dorin-Mirel, additional, Acres, Meghan, additional, Dixon, David, additional, Ness, Thomas, additional, Coulthard, Rowen, additional, Lisgo, Steven, additional, Henderson, Deborah J., additional, Dann, Emma, additional, Suo, Chenqu, additional, Kinston, Sarah J., additional, Park, Jong-eun, additional, Polanski, Krzysztof, additional, Marioni, John, additional, van Dongen, Stijn, additional, Meyer, Kerstin B., additional, de Bruijn, Marella, additional, Palis, James, additional, Behjati, Sam, additional, Laurenti, Elisa, additional, Wilson, Nicola K., additional, Vento-Tormo, Roser, additional, Chédotal, Alain, additional, Bayraktar, Omer, additional, Roberts, Irene, additional, Jardine, Laura, additional, Göttgens, Berthold, additional, Teichmann, Sarah A., additional, and Haniffa, Muzlifah, additional
- Published
- 2023
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47. Systematic benchmarking of single-cell ATAC-sequencing protocols
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De Rop, Florian V., primary, Hulselmans, Gert, additional, Flerin, Chris, additional, Soler-Vila, Paula, additional, Rafels, Albert, additional, Christiaens, Valerie, additional, González-Blas, Carmen Bravo, additional, Marchese, Domenica, additional, Caratù, Ginevra, additional, Poovathingal, Suresh, additional, Rozenblatt-Rosen, Orit, additional, Slyper, Michael, additional, Luo, Wendy, additional, Muus, Christoph, additional, Duarte, Fabiana, additional, Shrestha, Rojesh, additional, Bagdatli, S. Tansu, additional, Corces, M. Ryan, additional, Mamanova, Lira, additional, Knights, Andrew, additional, Meyer, Kerstin B., additional, Mulqueen, Ryan, additional, Taherinasab, Akram, additional, Maschmeyer, Patrick, additional, Pezoldt, Jörn, additional, Lambert, Camille Lucie Germaine, additional, Iglesias, Marta, additional, Najle, Sebastián R., additional, Dossani, Zain Y., additional, Martelotto, Luciano G., additional, Burkett, Zach, additional, Lebofsky, Ronald, additional, Martin-Subero, José Ignacio, additional, Pillai, Satish, additional, Sebé-Pedrós, Arnau, additional, Deplancke, Bart, additional, Teichmann, Sarah A., additional, Ludwig, Leif S., additional, Braun, Theodore P., additional, Adey, Andrew C., additional, Greenleaf, William J., additional, Buenrostro, Jason D., additional, Regev, Aviv, additional, Aerts, Stein, additional, and Heyn, Holger, additional
- Published
- 2023
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48. Childhood-onset asthma is characterized by airway epithelial hillock-to-squamous differentiation in early life
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Kersten, Elin T.G., primary, Pett, Jan Patrick, additional, Malmstrom, Kristiina, additional, Chun, Yoojin, additional, Jonker, Marnix R., additional, Wilbrey-Clark, Anna L, additional, Worlock, Kaylee B., additional, van den Berge, Maarten, additional, Vermeulen, Roel C.H., additional, Vonk, Judith M, additional, Sebire, Neil, additional, Lohi, Jouko, additional, Timens, Wim, additional, Teichmann, Sarah, additional, Bunyavanich, Supinda, additional, Nikolic, Marko Z, additional, Nawijn, Martijn C., additional, Makela, Mika, additional, Meyer, Kerstin B, additional, and Koppelman, Gerard H., additional
- Published
- 2023
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49. FastCAR:fast correction for ambient RNA to facilitate differential gene expression analysis in single-cell RNA-sequencing datasets
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Berg, Marijn, Petoukhov, Ilya, van den Ende, Inge, Meyer, Kerstin B., Guryev, Victor, Vonk, Judith M., Carpaij, Orestes, Banchero, Martin, Hendriks, Rudi W., van den Berge, Maarten, Nawijn, Martijn C., Berg, Marijn, Petoukhov, Ilya, van den Ende, Inge, Meyer, Kerstin B., Guryev, Victor, Vonk, Judith M., Carpaij, Orestes, Banchero, Martin, Hendriks, Rudi W., van den Berge, Maarten, and Nawijn, Martijn C.
- Abstract
Cell type-specific differential gene expression analyses based on single-cell transcriptome datasets are sensitive to the presence of cell-free mRNA in the droplets containing single cells. This so-called ambient RNA contamination may differ between samples obtained from patients and healthy controls. Current ambient RNA correction methods were not developed specifically for single-cell differential gene expression (sc-DGE) analyses and might therefore not sufficiently correct for ambient RNA-derived signals. Here, we show that ambient RNA levels are highly sample-specific. We found that without ambient RNA correction, sc-DGE analyses erroneously identify transcripts originating from ambient RNA as cell type-specific disease-associated genes. We therefore developed a computationally lean and intuitive correction method, Fast Correction for Ambient RNA (FastCAR), optimized for sc-DGE analysis of scRNA-Seq datasets generated by droplet-based methods including the 10XGenomics Chromium platform. FastCAR uses the profile of transcripts observed in libraries that likely represent empty droplets to determine the level of ambient RNA in each individual sample, and then corrects for these ambient RNA gene expression values. FastCAR can be applied as part of the data pre-processing and QC in sc-DGE workflows comparing scRNA-Seq data in a health versus disease experimental design. We compared FastCAR with two methods previously developed to remove ambient RNA, SoupX and CellBender. All three methods identified additional genes in sc-DGE analyses that were not identified in the absence of ambient RNA correction. However, we show that FastCAR performs better at correcting gene expression values attributed to ambient RNA, resulting in a lower frequency of false-positive observations. Moreover, the use of FastCAR in a sc-DGE workflow increases the cell-type specificity of sc-DGE analyses across disease conditions.
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- 2023
50. Human SARS-CoV-2 challenge resolves local and systemic response dynamics
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Lindeboom, Rik G H, primary, Worlock, Kaylee B, additional, Dratva, Lisa M, additional, Yoshida, Masahiro, additional, Scobie, David, additional, Wagstaffe, Helen R, additional, Richardson, Laura, additional, Wilbrey-Clark, Anna L, additional, Barnes, Josephine L, additional, Polanski, Krzysztof, additional, Allen-Hyttinen, Jessica, additional, Mehta, Puja, additional, Sumanaweera, Dinithi, additional, Boccacino, Jacqueline M, additional, Sungnak, Waradon, additional, Huang, Ni, additional, Mamanova, Lira, additional, Kapuge, Rakeshlal, additional, Bolt, Liam, additional, Prigmore, Elena, additional, Killingley, Ben, additional, Kalinova, Mariya, additional, Mayer, Maria, additional, Boyers, Alison, additional, Mann, Alex, additional, Teixeira, Vitor H, additional, Janes, Sam M, additional, Chambers, Rachel C, additional, Haniffa, Muzlifah, additional, Catchpole, Andrew, additional, Heyderman, Robert S, additional, Noursadeghi, Mahdad, additional, Chain, Benny, additional, Mayer, Andreas, additional, Meyer, Kerstin B, additional, Chiu, Christopher, additional, Nikolić, Marko Z, additional, and Teichmann, Sarah A, additional
- Published
- 2023
- Full Text
- View/download PDF
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