作者
Yize Li, Yongchao Dou, Felipe Da Veiga Leprevost, Yifat Geffen, Anna P Calinawan, François Aguet, Yo Akiyama, Shankara Anand, Chet Birger, Song Cao, Rekha Chaudhary, Padmini Chilappagari, Marcin Cieslik, Antonio Colaprico, Daniel Cui Zhou, Corbin Day, Marcin J Domagalski, Myvizhi Esai Selvan, David Fenyö, Steven M Foltz, Alicia Francis, Tania Gonzalez-Robles, Zeynep H Gümüş, David Heiman, Michael Holck, Runyu Hong, Yingwei Hu, Eric J Jaehnig, Jiayi Ji, Wen Jiang, Lizabeth Katsnelson, Karen A Ketchum, Robert J Klein, Jonathan T Lei, Wen-Wei Liang, Yuxing Liao, Caleb M Lindgren, Weiping Ma, Lei Ma, Michael J MacCoss, Fernanda Martins Rodrigues, Wilson McKerrow, Ngoc Nguyen, Robert Oldroyd, Alexander Pilozzi, Pietro Pugliese, Boris Reva, Paul Rudnick, Kelly V Ruggles, Dmitry Rykunov, Sara R Savage, Michael Schnaubelt, Tobias Schraink, Zhiao Shi, Deepak Singhal, Xiaoyu Song, Erik Storrs, Nadezhda V Terekhanova, Ratna R Thangudu, Mathangi Thiagarajan, Liang-Bo Wang, Joshua M Wang, Ying Wang, Bo Wen, Yige Wu, Matthew A Wyczalkowski, Yi Xin, Lijun Yao, Xinpei Yi, Hui Zhang, Qing Zhang, Maya Zuhl, Gad Getz, Li Ding, Alexey I Nesvizhskii, Pei Wang, Ana I Robles, Bing Zhang, Samuel H Payne, Alexander J Lazar, Amanda G Paulovich, Antonio Iavarone, Arul M Chinnaiyan, Brian J Druker, Chandan Kumar-Sinha, Chelsea J Newton, Chen Huang, DR Mani, Richard D Smith, Emily Huntsman, Eric E Schadt, Eunkyung An, Francesca Petralia, Galen Hostetter, Gilbert S Omenn, Hanbyul Cho, Henry Rodriguez, Iga Kolodziejczak, Jared L Johnson, Jasmin Bavarva, Jimin Tan, Karin D Rodland, Karl R Clauser, Karsten Krug, Lewis C Cantley, Maciej Wiznerowicz, Matthew J Ellis, Meenakshi Anurag, Mehdi Mesri, Michael A Gillette, Michael J Birrer, Michele Ceccarelli, Saravana M Dhanasekaran, Nathan Edwards, Nicole Tignor, Özgün Babur, Sara JC Gosline, Scott D Jewell, Shankha Satpathy, Shrabanti Chowdhury, Stephan Schürer, Steven A Carr, Tao Liu, Tara Hiltke, Tomer M Yaron, Vasileios Stathias, Wenke Liu, Xu Zhang, Yizhe Song, Zhen Zhang
发表日期
2023/8/14
来源
Cancer cell
卷号
41
期号
8
页码范围
1397-1406
出版商
Elsevier
简介
The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigates tumors from a proteogenomic perspective, creating rich multi-omics datasets connecting genomic aberrations to cancer phenotypes. To facilitate pan-cancer investigations, we have generated harmonized genomic, transcriptomic, proteomic, and clinical data for >1000 tumors in 10 cohorts to create a cohesive and powerful dataset for scientific discovery. We outline efforts by the CPTAC pan-cancer working group in data harmonization, data dissemination, and computational resources for aiding biological discoveries. We also discuss challenges for multi-omics data integration and analysis, specifically the unique challenges of working with both nucleotide sequencing and mass spectrometry proteomics data.
学术搜索中的文章
Y Li, Y Dou, FDV Leprevost, Y Geffen, AP Calinawan… - Cancer cell, 2023