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Clonal fitness inferred from time-series modelling of single-cell cancer genomes

Autor: Salehi, Sohrab, Kabeer, Farhia, Ceglia, Nicholas, Andronescu, Mirela, Williams, Marc J., Campbell, Kieran R., Masud, Tehmina, Wang, Beixi, Biele, Justina, Brimhall, Jazmine, Gee, David, Lee, Hakwoo, Ting, Jerome, Zhang, Allen W., Tran, Hoa, O’Flanagan, Ciara, Dorri, Fatemeh, Rusk, Nicole, de Algara, Teresa Ruiz, Lee, So Ra, Cheng, Brian Yu Chieh, Eirew, Peter, Kono, Takako, Pham, Jenifer, Grewal, Diljot, Lai, Daniel, Moore, Richard, Mungall, Andrew J., Marra, Marco A., Hannon, Gregory J., Battistoni, Giorgia, Bressan, Dario, Cannell, Ian Gordon, Casbolt, Hannah, Fatemi, Atefeh, Jauset, Cristina, Kovačević, Tatjana, Mulvey, Claire M., Nugent, Fiona, Ribes, Marta Paez, Pearsall, Isabella, Qosaj, Fatime, Sawicka, Kirsty, Wild, Sophia A., Williams, Elena, Laks, Emma, Li, Yangguang, O’Flanagan, Ciara H., Smith, Austin, Ruiz, Teresa, Roth, Andrew, Balasubramanian, Shankar, Lee, Maximillian, Bodenmiller, Bernd, Burger, Marcel, Kuett, Laura, Tietscher, Sandra, Windhager, Jonas, Boyden, Edward S., Alon, Shahar, Cui, Yi, Emenari, Amauche, Goodwin, Dan, Karagiannis, Emmanouil D., Sinha, Anubhav, Wassie, Asmamaw T., Caldas, Carlos, Bruna, Alejandra, Callari, Maurizio, Greenwood, Wendy, Lerda, Giulia, Eyal-Lubling, Yaniv, Rueda, Oscar M., Shea, Abigail, Harris, Owen, Becker, Robby, Grimaldi, Flaminia, Harris, Suvi, Vogl, Sara Lisa, Weselak, Joanna, Joyce, Johanna A., Watson, Spencer S., Vázquez-Garćıa, Ignacio, Tavaré, Simon, Dinh, Khanh N., Fisher, Eyal, Kunes, Russell, Walton, Nicholas A., Sa’d, Mohammad Al, Chornay, Nick, Dariush, Ali, González-Solares, Eduardo A., González-Fernández, Carlos, Yoldas, Aybüke Küpcü, Millar, Neil, Whitmarsh, Tristan, Zhuang, Xiaowei, Fan, Jean, Lee, Hsuan, Sepúlveda, Leonardo A., Xia, Chenglong, Zheng, Pu, McPherson, Andrew, Bouchard-Côté, Alexandre, Aparicio, Samuel, Shah, Sohrab P.

Publikováno v: Nature, 595 (7868)
Nature

Progress in defining genomic fitness landscapes in cancer, especially those defined by copy number alterations (CNAs), has been impeded by lack of time-series single-cell sampling of polyclonal populations and temporal statistical models1-7. Here we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7969bf64b96712c2f022b7a48930f00

CINner: modeling and simulation of chromosomal instability in cancer at single-cell resolution.

Autor: Dinh KN; Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA.; Department of Statistics, Columbia University, New York, NY, USA., Vázquez-García I; Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA.; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Chan A; Case Western Reserve University, Cleveland, OH, USA., Malhotra R; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Stanford University, Palo Alto, CA, USA., Weiner A; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA., McPherson AW; Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Tavaré S; Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA.; Department of Statistics, Columbia University, New York, NY, USA.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Apr 03. Date of Electronic Publication: 2024 Apr 03.