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1. A spatially resolved atlas of the human lung characterizes a gland-associated immune niche.

Author

Madissoon, Elo, Madissoon, Elo, Oliver, Amanda, Kleshchevnikov, Vitalii, Wilbrey-Clark, Anna, Polanski, Krzysztof, Richoz, Nathan, Ribeiro Orsi, Ana, Mamanova, Lira, Bolt, Liam, Elmentaite, Rasa, Pett, J, Huang, Ni, Xu, Chuan, He, Peng, Dabrowska, Monika, Pritchard, Sophie, Tuck, Liz, Prigmore, Elena, Perera, Shani, Knights, Andrew, Oszlanczi, Agnes, Hunter, Adam, Vieira, Sara, Patel, Minal, Lindeboom, Rik, Campos, Lia, Matsuo, Kazuhiko, Nakayama, Takashi, Yoshida, Masahiro, Worlock, Kaylee, Nikolić, Marko, Georgakopoulos, Nikitas, Mahbubani, Krishnaa, Saeb-Parsy, Kourosh, Bayraktar, Omer, Clatworthy, Menna, Stegle, Oliver, Kumasaka, Natsuhiko, Teichmann, Sarah, Meyer, Kerstin, Madissoon, Elo, Madissoon, Elo, Oliver, Amanda, Kleshchevnikov, Vitalii, Wilbrey-Clark, Anna, Polanski, Krzysztof, Richoz, Nathan, Ribeiro Orsi, Ana, Mamanova, Lira, Bolt, Liam, Elmentaite, Rasa, Pett, J, Huang, Ni, Xu, Chuan, He, Peng, Dabrowska, Monika, Pritchard, Sophie, Tuck, Liz, Prigmore, Elena, Perera, Shani, Knights, Andrew, Oszlanczi, Agnes, Hunter, Adam, Vieira, Sara, Patel, Minal, Lindeboom, Rik, Campos, Lia, Matsuo, Kazuhiko, Nakayama, Takashi, Yoshida, Masahiro, Worlock, Kaylee, Nikolić, Marko, Georgakopoulos, Nikitas, Mahbubani, Krishnaa, Saeb-Parsy, Kourosh, Bayraktar, Omer, Clatworthy, Menna, Stegle, Oliver, Kumasaka, Natsuhiko, Teichmann, Sarah, and Meyer, Kerstin

Abstract

Single-cell transcriptomics has allowed unprecedented resolution of cell types/states in the human lung, but their spatial context is less well defined. To (re)define tissue architecture of lung and airways, we profiled five proximal-to-distal locations of healthy human lungs in depth using multi-omic single cell/nuclei and spatial transcriptomics (queryable at lungcellatlas.org ). Using computational data integration and analysis, we extend beyond the suspension cell paradigm and discover macro and micro-anatomical tissue compartments including previously unannotated cell types in the epithelial, vascular, stromal and nerve bundle micro-environments. We identify and implicate peribronchial fibroblasts in lung disease. Importantly, we discover and validate a survival niche for IgA plasma cells in the airway submucosal glands (SMG). We show that gland epithelial cells recruit B cells and IgA plasma cells, and promote longevity and antibody secretion locally through expression of CCL28, APRIL and IL-6. This new gland-associated immune niche has implications for respiratory health.

Published
2023

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 C.A., 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, Chen, Yuexin, Hagood, James S., Agami, Ahmed, Horvath, Peter, Lundeberg, Joakim, Marquette, Charles Hugo, Pryhuber, Gloria, Samakovlis, Chistos, Sun, Xin, Ware, Lorraine B., Zhang, Kun, 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., Theis, Fabian J., 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 C.A., 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, Chen, Yuexin, Hagood, James S., Agami, Ahmed, Horvath, Peter, Lundeberg, Joakim, Marquette, Charles Hugo, Pryhuber, Gloria, Samakovlis, Chistos, Sun, Xin, Ware, Lorraine B., Zhang, Kun, 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.

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., QC 20230710

Published
2023
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3. An integrated cell atlas of the lung in health and disease.

Author

Sikkema, Lisa, 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, Lung Biological Network Consortium, 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, Theis, Fabian J, Sikkema, Lisa, 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, Lung Biological Network Consortium, 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

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

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

Author

Sikkema, L, Ramírez-Suástegui, C, Strobl, DC, Gillett, TE, Zappia, L, Madissoon, E, Markov, NS, Zaragosi, L-E, Ji, Y, Ansari, M, Arguel, M-J, Apperloo, L, Banchero, M, Bécavin, C, Berg, M, Chichelnitskiy, E, Chung, M-I, Collin, A, Gay, ACA, Gote-Schniering, J, Hooshiar Kashani, B, Inecik, K, Jain, M, Kapellos, TS, Kole, TM, Leroy, S, Mayr, CH, Oliver, AJ, von Papen, M, Peter, L, Taylor, CJ, Walzthoeni, T, Xu, C, Bui, LT, De Donno, C, Dony, L, Faiz, A, Guo, M, Gutierrez, AJ, Heumos, L, Huang, N, Ibarra, IL, Jackson, ND, Kadur Lakshminarasimha Murthy, P, Lotfollahi, M, Tabib, T, Talavera-López, C, Travaglini, KJ, Wilbrey-Clark, A, Worlock, KB, Yoshida, M, Lung Biological Network Consortium, van den Berge, M, Bossé, Y, Desai, TJ, Eickelberg, O, Kaminski, N, Krasnow, MA, Lafyatis, R, Nikolic, MZ, Powell, JE, Rajagopal, J, Rojas, M, Rozenblatt-Rosen, O, Seibold, MA, Sheppard, D, Shepherd, DP, Sin, DD, Timens, W, Tsankov, AM, Whitsett, J, Xu, Y, Banovich, NE, Barbry, P, Duong, TE, Falk, CS, Meyer, KB, Kropski, JA, Pe'er, D, Schiller, HB, Tata, PR, Schultze, JL, Teichmann, SA, Misharin, AV, Nawijn, MC, Luecken, MD, Theis, FJ, Sikkema, L, Ramírez-Suástegui, C, Strobl, DC, Gillett, TE, Zappia, L, Madissoon, E, Markov, NS, Zaragosi, L-E, Ji, Y, Ansari, M, Arguel, M-J, Apperloo, L, Banchero, M, Bécavin, C, Berg, M, Chichelnitskiy, E, Chung, M-I, Collin, A, Gay, ACA, Gote-Schniering, J, Hooshiar Kashani, B, Inecik, K, Jain, M, Kapellos, TS, Kole, TM, Leroy, S, Mayr, CH, Oliver, AJ, von Papen, M, Peter, L, Taylor, CJ, Walzthoeni, T, Xu, C, Bui, LT, De Donno, C, Dony, L, Faiz, A, Guo, M, Gutierrez, AJ, Heumos, L, Huang, N, Ibarra, IL, Jackson, ND, Kadur Lakshminarasimha Murthy, P, Lotfollahi, M, Tabib, T, Talavera-López, C, Travaglini, KJ, Wilbrey-Clark, A, Worlock, KB, Yoshida, M, Lung Biological Network Consortium, van den Berge, M, Bossé, Y, Desai, TJ, Eickelberg, O, Kaminski, N, Krasnow, MA, Lafyatis, R, Nikolic, MZ, Powell, JE, Rajagopal, J, Rojas, M, Rozenblatt-Rosen, O, Seibold, MA, Sheppard, D, Shepherd, DP, Sin, DD, Timens, W, Tsankov, AM, Whitsett, J, Xu, Y, Banovich, NE, Barbry, P, Duong, TE, Falk, CS, Meyer, KB, Kropski, JA, Pe'er, D, Schiller, HB, Tata, PR, Schultze, JL, Teichmann, SA, Misharin, AV, Nawijn, MC, Luecken, MD, and Theis, FJ

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

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

Author

Sikkema, L, Ramírez-Suástegui, C, Strobl, DC, Gillett, TE, Zappia, L, Madissoon, E, Markov, NS, Zaragosi, L-E, Ji, Y, Ansari, M, Arguel, M-J, Apperloo, L, Banchero, M, Bécavin, C, Berg, M, Chichelnitskiy, E, Chung, M-I, Collin, A, Gay, ACA, Gote-Schniering, J, Hooshiar Kashani, B, Inecik, K, Jain, M, Kapellos, TS, Kole, TM, Leroy, S, Mayr, CH, Oliver, AJ, von Papen, M, Peter, L, Taylor, CJ, Walzthoeni, T, Xu, C, Bui, LT, De Donno, C, Dony, L, Faiz, A, Guo, M, Gutierrez, AJ, Heumos, L, Huang, N, Ibarra, IL, Jackson, ND, Kadur Lakshminarasimha Murthy, P, Lotfollahi, M, Tabib, T, Talavera-López, C, Travaglini, KJ, Wilbrey-Clark, A, Worlock, KB, Yoshida, M, Lung Biological Network Consortium, van den Berge, M, Bossé, Y, Desai, TJ, Eickelberg, O, Kaminski, N, Krasnow, MA, Lafyatis, R, Nikolic, MZ, Powell, JE, Rajagopal, J, Rojas, M, Rozenblatt-Rosen, O, Seibold, MA, Sheppard, D, Shepherd, DP, Sin, DD, Timens, W, Tsankov, AM, Whitsett, J, Xu, Y, Banovich, NE, Barbry, P, Duong, TE, Falk, CS, Meyer, KB, Kropski, JA, Pe'er, D, Schiller, HB, Tata, PR, Schultze, JL, Teichmann, SA, Misharin, AV, Nawijn, MC, Luecken, MD, Theis, FJ, Sikkema, L, Ramírez-Suástegui, C, Strobl, DC, Gillett, TE, Zappia, L, Madissoon, E, Markov, NS, Zaragosi, L-E, Ji, Y, Ansari, M, Arguel, M-J, Apperloo, L, Banchero, M, Bécavin, C, Berg, M, Chichelnitskiy, E, Chung, M-I, Collin, A, Gay, ACA, Gote-Schniering, J, Hooshiar Kashani, B, Inecik, K, Jain, M, Kapellos, TS, Kole, TM, Leroy, S, Mayr, CH, Oliver, AJ, von Papen, M, Peter, L, Taylor, CJ, Walzthoeni, T, Xu, C, Bui, LT, De Donno, C, Dony, L, Faiz, A, Guo, M, Gutierrez, AJ, Heumos, L, Huang, N, Ibarra, IL, Jackson, ND, Kadur Lakshminarasimha Murthy, P, Lotfollahi, M, Tabib, T, Talavera-López, C, Travaglini, KJ, Wilbrey-Clark, A, Worlock, KB, Yoshida, M, Lung Biological Network Consortium, van den Berge, M, Bossé, Y, Desai, TJ, Eickelberg, O, Kaminski, N, Krasnow, MA, Lafyatis, R, Nikolic, MZ, Powell, JE, Rajagopal, J, Rojas, M, Rozenblatt-Rosen, O, Seibold, MA, Sheppard, D, Shepherd, DP, Sin, DD, Timens, W, Tsankov, AM, Whitsett, J, Xu, Y, Banovich, NE, Barbry, P, Duong, TE, Falk, CS, Meyer, KB, Kropski, JA, Pe'er, D, Schiller, HB, Tata, PR, Schultze, JL, Teichmann, SA, Misharin, AV, Nawijn, MC, Luecken, MD, and Theis, FJ

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

6. Single cell derived mRNA signals across human kidney tumors

Author

Groep Holstege, Pathologie Pathologen staf, Speerpunt, Zorg en O&O, Child Health, CMM Groep Burgering, Cancer, 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, Behjati, Sam, Groep Holstege, Pathologie Pathologen staf, Speerpunt, Zorg en O&O, Child Health, CMM Groep Burgering, Cancer, 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

Published
2021

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