Genome-wide identification and characterisation of HOT regions in the human genome.
Genome-wide identification and characterisation of HOT regions in the human genome.
复制标题
人类基因组中热点区域的全基因组识别和表征。
DOI：
10.1186/s12864-016-3077-4
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发表时间：
2016-09-15
期刊：
影响因子：
4.4
通讯作者：
Shu W
中科院分区：
文献类型：
--
作者：
Li H;Liu F;Ren C;Bo X;Shu W
HOT（高占用率目标）区域，这是由一个令人惊讶的大量的转录因子结合，被认为是近年来最有趣的发现之一。通过了解构成这些结构域的因子的星座，并通过在人类细胞类型的光谱中识别HOT区域，可以更好地理解HOT区域在生物学中发挥的作用。我们表征并验证了胚胎干细胞（ESC）中的HOT区域，并在广泛的人类细胞类型中产生了HOT区域的目录。我们发现HOT区域与控制和定义相应细胞和组织类型发育过程的基因相关。我们还展示了HOT区域在原始增强子处的发育持久性的证据，并展示了HOT区域的独特特征，这些特征将它们与典型增强子和超级增强子区分开来。最后，我们进行了一个动态分析，以揭示H1分化的HOT区域的动态调节。总之，我们的研究结果提供了一个资源，热区域的功能探索和扩展我们的理解的关键作用，热区域的发展和分化。本文的在线版本（doi：10.1186/s12864-016-3077-4）包含补充材料，可供授权用户使用。
HOT (high-occupancy target) regions, which are bound by a surprisingly large number of transcription factors, are considered to be among the most intriguing findings of recent years. An improved understanding of the roles that HOT regions play in biology would be afforded by knowing the constellation of factors that constitute these domains and by identifying HOT regions across the spectrum of human cell types. We characterised and validated HOT regions in embryonic stem cells (ESCs) and produced a catalogue of HOT regions in a broad range of human cell types. We found that HOT regions are associated with genes that control and define the developmental processes of the respective cell and tissue types. We also showed evidence of the developmental persistence of HOT regions at primitive enhancers and demonstrate unique signatures of HOT regions that distinguish them from typical enhancers and super-enhancers. Finally, we performed a dynamic analysis to reveal the dynamical regulation of HOT regions upon H1 differentiation. Taken together, our results provide a resource for the functional exploration of HOT regions and extend our understanding of the key roles of HOT regions in development and differentiation. The online version of this article (doi:10.1186/s12864-016-3077-4) contains supplementary material, which is available to authorized users.
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DOI：
10.1093/bioinformatics/btr064
发表时间：
2011-04-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Grant CE;Bailey TL;Noble WS
通讯作者：
Noble WS
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：
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：
64.5
作者：
Cherry AB;Daley GQ
通讯作者：
Daley GQ
影响因子：
30.8
作者：
John S;Sabo PJ;Thurman RE;Sung MH;Biddie SC;Johnson TA;Hager GL;Stamatoyannopoulos JA
通讯作者：
Stamatoyannopoulos JA