Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility.
Occupancy by key transcription factors is a more accurate predictor of enhancer activity than histone modifications or chromatin accessibility.
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DOI:
10.1186/s13072-015-0009-5
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发表时间:
2015
影响因子:
3.9
通讯作者:
Hardison RC
中科院分区:
文献类型:
--
作者:
Dogan N;Wu W;Morrissey CS;Chen KB;Stonestrom A;Long M;Keller CA;Cheng Y;Jain D;Visel A;Pennacchio LA;Weiss MJ;Blobel GA;Hardison RC
Regulated gene expression controls organismal development, and variation in regulatory patterns has been implicated in complex traits. Thus accurate prediction of enhancers is important for further understanding of these processes. Genome-wide measurement of epigenetic features, such as histone modifications and occupancy by transcription factors, is improving enhancer predictions, but the contribution of these features to prediction accuracy is not known. Given the importance of the hematopoietic transcription factor TAL1 for erythroid gene activation, we predicted candidate enhancers based on genomic occupancy by TAL1 and measured their activity. Contributions of multiple features to enhancer prediction were evaluated based on the results of these and other studies. TAL1-bound DNA segments were active enhancers at a high rate both in transient transfections of cultured cells (39 of 79, or 56%) and transgenic mice (43 of 66, or 65%). The level of binding signal for TAL1 or GATA1 did not help distinguish TAL1-bound DNA segments as active versus inactive enhancers, nor did the density of regulation-related histone modifications. A meta-analysis of results from this and other studies (273 tested predicted enhancers) showed that the presence of TAL1, GATA1, EP300, SMAD1, H3K4 methylation, H3K27ac, and CAGE tags at DNase hypersensitive sites gave the most accurate predictors of enhancer activity, with a success rate over 80% and a median threefold increase in activity. Chromatin accessibility assays and the histone modifications H3K4me1 and H3K27ac were sensitive for finding enhancers, but they have high false positive rates unless transcription factor occupancy is also included. Occupancy by key transcription factors such as TAL1, GATA1, SMAD1, and EP300, along with evidence of transcription, improves the accuracy of enhancer predictions based on epigenetic features. The online version of this article (doi:10.1186/s13072-015-0009-5) contains supplementary material, which is available to authorized users.
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影响因子:
12.3
作者:
Attanasio C;Reymond A;Humbert R;Lyle R;Kuehn MS;Neph S;Sabo PJ;Goldy J;Weaver M;Haydock A;Lee K;Dorschner M;Dermitzakis ET;Antonarakis SE;Stamatoyannopoulos JA
通讯作者:
Stamatoyannopoulos JA
影响因子:
7
作者:
Gorkin DU;Lee D;Reed X;Fletez-Brant C;Bessling SL;Loftus SK;Beer MA;Pavan WJ;McCallion AS
通讯作者:
McCallion AS
影响因子:
20.3
作者:
Gregory, T;Yu, CN;Weiss, MJ
通讯作者:
Weiss, MJ
影响因子:
4.3
作者:
Erwin GD;Oksenberg N;Truty RM;Kostka D;Murphy KK;Ahituv N;Pollard KS;Capra JA
通讯作者:
Capra JA
DOI:
10.4161/jkst.23931
发表时间:
2013-07-01
期刊:
JAK-STAT
影响因子:
--
作者:
Au-Yeung N;Mandhana R;Horvath CM
通讯作者:
Horvath CM