Evidence map›Paper›PMID 26748710›Full record

ArticleCell reports2016

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

Sara J C Gosline, Allan M Gurtan, Courtney K JnBaptiste, Andrew Bosson, Pamela Milani, Simona Dalin, Bryan J Matthews, Yoon S Yap, Phillip A Sharp, Ernest Fraenkel

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 98 citations in OpenAlex.

  1. Review
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  12. Processing body (P-body) and its mediators in cancer.Molecular and cellular biochemistry · 2022
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  20. Epigenetics, microRNA and Metabolic Syndrome: A Comprehensive Review.International journal of molecular sciences · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Sara J C GoslineDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Allan M GurtanDavid H. Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA 02139, USA.
Courtney K JnBaptisteDavid H. Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA 02139, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Andrew BossonDavid H. Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA 02139, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Pamela MilaniDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Simona DalinDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Bryan J MatthewsDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Yoon S YapDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Phillip A SharpDavid H. Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA 02139, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: sharppa@mit.edu.
Ernest FraenkelDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: fraenkel-admin@mit.edu.
Massachusetts Institute of Technology · USAllen Institute · USKoch Institute for Integrative Cancer Research At MIT

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
PRE-DOCTORAL TRAINING IN THE BIOLOGICAL SCIENCEST32GM007287 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BELL, STEPHEN P., KEATING, AMY E · 1985 to 2019
$40.8M
USE OF RETROVIRUS PROMOTER TRAP VECTORS TO IDENTIFY ONCOGENES AND ANTI-ONCOGENESP01CA042063 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JACKS, TYLER E. · 1986 to 2021
$30.5M
Tumor Cell Networks CenterU54CA112967 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2004 to 2015
$26.2M
REGULATION OF MRNA PROCESSINGR01GM034277 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SHARP, PHILLIP A · 1985 to 2021
$8.0M
Stress and Proliferation States Impact MicroRNA-Mediated Regulation in CancerR01CA133404 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SHARP, PHILLIP A · 2008 to 2017
$4.6M
Embryonal Brain Tumor NetworksU01CA184898 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FRAENKEL, ERNEST, MESIROV, JILL P. · 2014 to 2019
$3.6M
A Systems Biology Approach to Reveal Huntington's Disease MechanismsR01GM089903 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FRAENKEL, ERNEST · 2010 to 2014
$2.4M
NCI NIH HHS P01 CA042063NCI NIH HHS P30 CA014051NCI NIH HHS R01 CA133404NCI NIH HHS U01 CA184898NCI NIH HHS U54 CA112967NIGMS NIH HHS R01 GM034277NIGMS NIH HHS R01 GM089903NIGMS NIH HHS T32 GM007287
6 · The paper itself

Abstract

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.

Indexed as

Gene Regulatory NetworksHistone CodeHumansMicroRNAsTranscription FactorsMicroRNAsTranscription Factors

Identifiers

PMID26748710
PMCPMC4831719
OpenAlexW2218388869

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.