Topography of transcriptionally active chromatin in glioblastoma.
Topography of transcriptionally active chromatin in glioblastoma.
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DOI:
10.1126/sciadv.abd4676
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发表时间:
2021-04
期刊:
影响因子:
13.6
通讯作者:
Koeffler HP
中科院分区:
文献类型:
--
作者:
Xu L;Chen Y;Huang Y;Sandanaraj E;Yu JS;Lin RY;Dakle P;Ke XY;Chong YK;Koh L;Mayakonda A;Nacro K;Hill J;Huang ML;Gery S;Lim SW;Huang Z;Xu Y;Chen J;Bai L;Wang S;Wakimoto H;Yeo TT;Ang BT;Müschen M;Tang C;Tan TZ;Koeffler HP
Profiling of active gene-regulatory DNA elements in brain cancer tissues illuminates disease biology and therapeutic targets. Molecular profiling of the most aggressive brain tumor glioblastoma (GBM) on the basis of gene expression, DNA methylation, and genomic variations advances both cancer research and clinical diagnosis. The enhancer architectures and regulatory circuitries governing tumor-intrinsic transcriptional diversity and subtype identity are still elusive. Here, by mapping H3K27ac deposition, we analyze the active regulatory landscapes across 95 GBM biopsies, 12 normal brain tissues, and 38 cell line counterparts. Analyses of differentially regulated enhancers and super-enhancers uncovered previously unrecognized layers of intertumor heterogeneity. Integrative analysis of variant enhancer loci and transcriptome identified topographies of transcriptional enhancers and core regulatory circuitries in four molecular subtypes of primary tumors: AC1-mesenchymal, AC1-classical, AC2-proneural, and AC3-proneural. Moreover, this study reveals core oncogenic dependency on super-enhancer–driven transcriptional factors, long noncoding RNAs, and druggable targets in GBM. Through profiling of transcriptional enhancers, we provide clinically relevant insights into molecular classification, pathogenesis, and therapeutic intervention of GBM.
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DOI:
10.1126/science.1226929
发表时间:
2012-11-23
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Friedmann-Morvinski D;Bushong EA;Ke E;Soda Y;Marumoto T;Singer O;Ellisman MH;Verma IM
通讯作者:
Verma IM
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ
影响因子:
11.2
作者:
Bai L;Zhou B;Yang CY;Ji J;McEachern D;Przybranowski S;Jiang H;Hu J;Xu F;Zhao Y;Liu L;Fernandez-Salas E;Xu J;Dou Y;Wen B;Sun D;Meagher J;Stuckey J;Hayes DF;Li S;Ellis MJ;Wang S
通讯作者:
Wang S
影响因子:
64.5
作者:
Hnisz D;Abraham BJ;Lee TI;Lau A;Saint-André V;Sigova AA;Hoke HA;Young RA
通讯作者:
Young RA
影响因子:
14.9
作者:
Huang M;Chen Y;Yang M;Guo A;Xu Y;Xu L;Koeffler HP
通讯作者:
Koeffler HP