共 55 条
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.
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页码:310 / 319
页数:10
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