Elucidating MicroRNA Regulatory Networks Using Transcriptional, Post-transcriptional, and Histone Modification Measurements

被引:68
作者
Gosline, Sara J. C. [1 ]
Gurtan, Allan M. [2 ]
JnBaptiste, Courtney K. [2 ,3 ]
Bosson, Andrew [2 ,3 ]
Milani, Pamela [1 ]
Dalin, Simona [1 ]
Matthews, Bryan J. [1 ]
Yap, Yoon S. [1 ]
Sharp, Phillip A. [2 ,3 ]
Fraenkel, Ernest [1 ]
机构
[1] MIT, Dept Biol Engn, Cambridge, MA 02139 USA
[2] MIT, David H Koch Inst Integrat Canc Res, Cambridge, MA 02139 USA
[3] MIT, Dept Biol, Cambridge, MA 02139 USA
基金
美国国家科学基金会;
关键词
PROTEIN-RNA INTERACTIONS; LET-7; REPRESSES; SEQ DATA; TARGET; ENHANCERS; DISCOVERY; DECREASE; IMPACT; MIRNA;
D O I
10.1016/j.celrep.2015.12.031
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
MicroRNAs (miRNAs) regulate diverse biological processes by repressing mRNAs, but their modest effects on direct targets, together with their participation in larger regulatory networks, make it challenging to delineate miRNA-mediated effects. Here, we describe an approach to characterizing miRNA-regulatory networks by systematically profiling transcriptional, post-transcriptional and epigenetic activity in a pair of isogenic murine fibroblast cell lines with and without Dicer expression. By RNA sequencing (RNA-seq) and CLIP (crosslinking followed by immunoprecipitation) sequencing (CLIP-seq), we found that most of the changes induced by global miRNA loss occur at the level of transcription. We then introduced a network modeling approach that integrated these data with epigenetic data to identify specific miRNA-regulated transcription factors that explain the impact of miRNA perturbation on gene expression. In total, we demonstrate that combining multiple genome-wide datasets spanning diverse regulatory modes enables accurate delineation of the downstream miRNA-regulated transcriptional network and establishes a model for studying similar networks in other systems.
引用
收藏
页码:310 / 319
页数:10
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