Interplay between chromatin state, regulator binding, and regulatory motifs in six human cell types

作者
Jason Ernst,Manolis Kellis
出处
期刊:Genome Research [Cold Spring Harbor Laboratory Press]
卷期号:23 (7): 1142-1154 被引量:102
标识
DOI:10.1101/gr.144840.112
摘要

The regions bound by sequence-specific transcription factors can be highly variable across different cell types despite the static nature of the underlying genome sequence. This has been partly attributed to changes in chromatin accessibility, but a systematic picture has been hindered by the lack of large-scale data sets. Here, we use 456 binding experiments for 119 regulators and 84 chromatin maps generated by the ENCODE in six human cell types, and relate those to a global map of regulatory motif instances for these factors. We find specific and robust chromatin state preferences for each regulator beyond the previously reported open-chromatin association, suggesting a much richer chromatin landscape beyond simple accessibility. The preferentially bound chromatin states of regulators were enriched for sequence motifs of regulators relative to all states, suggesting that these preferences are at least partly encoded by the genomic sequence. Relative to all regions bound by a regulator, however, regulatory motifs were surprisingly depleted in the regulator's preferentially bound states, suggesting additional non-sequence-specific binding beyond the level predicted by the regulatory motifs. Such permissive binding was largely restricted to open-chromatin regions showing histone modification marks characteristic of active enhancer and promoter regions, whereas open-chromatin regions lacking such marks did not show permissive binding. Lastly, the vast majority of cobinding of regulator pairs is predicted by the chromatin state preferences of individual regulators. Overall, our results suggest a joint role of sequence motifs and specific chromatin states beyond mere accessibility in mediating regulator binding dynamics across different cell types.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Orange应助闹闹采纳,获得10
3秒前
英姑应助明尘采纳,获得10
4秒前
小米粥完成签到,获得积分10
4秒前
Lucas应助Q清风慕竹采纳,获得10
6秒前
6秒前
6秒前
甜美翠安完成签到,获得积分10
7秒前
7秒前
wanci应助Chen采纳,获得10
8秒前
hs完成签到,获得积分0
8秒前
希望天下0贩的0应助嘚嘚采纳,获得10
8秒前
9秒前
pzr发布了新的文献求助10
10秒前
可爱的函函应助Rc晨光采纳,获得10
10秒前
10秒前
单纯飞柏发布了新的文献求助10
11秒前
wang完成签到,获得积分10
11秒前
zzzzz完成签到,获得积分10
11秒前
VAIBIBABOU发布了新的文献求助10
11秒前
renshiq发布了新的文献求助10
12秒前
12秒前
昭昭发布了新的文献求助10
13秒前
li关注了科研通微信公众号
13秒前
14秒前
14秒前
xihuang完成签到,获得积分10
14秒前
huakeguanli发布了新的文献求助10
14秒前
积极向上的科研小笨蛋完成签到,获得积分10
14秒前
Elijah完成签到 ,获得积分10
15秒前
15秒前
16秒前
小白完成签到 ,获得积分10
16秒前
16秒前
Zzz完成签到,获得积分10
16秒前
kk完成签到 ,获得积分10
17秒前
17秒前
等待书桃发布了新的文献求助150
18秒前
成就夜柳发布了新的文献求助10
19秒前
19秒前
明尘发布了新的文献求助10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
Transdermal drug delivery systems market size report 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7642408
求助须知:如何正确求助?哪些是违规求助? 9215419
关于积分的说明 19768587
捐赠科研通 7207644
什么是DOI,文献DOI怎么找? 3276367
关于科研通互助平台的介绍 2438115
邀请新用户注册赠送积分活动 2274102