染色质
生物
小学(天文学)
计算生物学
遗传学
地理
DNA
物理
天文
作者
M. Ryan Corces,Jeffrey M. Granja,Shadi Shams,Bryan H. Louie,José A. Seoane,Wanding Zhou,Tiago C. Silva,Clarice S. Groeneveld,Christopher K. Wong,Seung Woo Cho,Ansuman T. Satpathy,Maxwell R. Mumbach,Katherine A. Hoadley,A. Gordon Robertson,Nathan C. Sheffield,Ina Felau,Mauro A. A. Castro,Benjamin P. Berman,Louis M. Staudt,Jean C. Zenklusen
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2018-10-26
卷期号:362 (6413)
被引量:1029
标识
DOI:10.1126/science.aav1898
摘要
Cancer chromatin accessibility landscape The Cancer Genome Atlas (TCGA) provides a high-quality resource of molecular data on a large variety of human cancers. Corces et al. used a recently modified assay to profile chromatin accessibility to determine the accessible chromatin landscape in 410 TCGA samples from 23 cancer types (see the Perspective by Taipale). When the data were integrated with other omics data available for the same tumor samples, inherited risk loci for cancer predisposition were revealed, transcription factors and enhancers driving molecular subtypes of cancer with patient survival differences were identified, and noncoding mutations associated with clinical prognosis were discovered. Science , this issue p. eaav1898 ; see also p. 401
科研通智能强力驱动
Strongly Powered by AbleSci AI