Evidence map›Paper›PMID 32821933›Full record

ArticleNucleic acids research2020

Robust partitioning of microRNA targets from downstream regulatory changes.

Ravi K Patel, Jessica D West, Ya Jiang, Elizabeth A Fogarty, Andrew Grimson

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Investigating Potential 5' UTR G-Quadruplexes Within NRF2 mRNA.Current issues in molecular biology · 2026
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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

5 authors at 1 institution in 1 country.

Ravi K PatelDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA.
Jessica D WestDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA.
Ya JiangDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA.
Elizabeth A FogartyDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA.
Andrew GrimsonDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA.
Cornell University · US

Funding

Small RNA Pathways in Mammalian GametogenesisP50HD076210 · NICHD · CORNELL UNIVERSITY · PI COHEN, PAULA ELAINE · 2014 to 2018
$7.4M
Identifying cis and trans factors required for microRNA functionR01GM105668 · NIGMS · CORNELL UNIVERSITY · PI GRIMSON, ANDREW W · 2013 to 2017
$1.5M
NICHD NIH HHS P50 HD076210NIGMS NIH HHS R01 GM105668
6 · The paper itself

Abstract

The biological impact of microRNAs (miRNAs) is determined by their targets, and robustly identifying direct miRNA targets remains challenging. Existing methods suffer from high false-positive rates and are unable to effectively differentiate direct miRNA targets from downstream regulatory changes. Here, we present an experimental and computational framework to deconvolute post-transcriptional and transcriptional changes using a combination of RNA-seq and PRO-seq. This novel approach allows us to systematically profile the regulatory impact of a miRNA. We refer to this approach as CARP: Combined Analysis of RNA-seq and PRO-seq. We apply CARP to multiple miRNAs and show that it robustly distinguishes direct targets from downstream changes, while greatly reducing false positives. We validate our approach using Argonaute eCLIP-seq and ribosome profiling, demonstrating that CARP defines a comprehensive repertoire of targets. Using this approach, we identify miRNA-specific activity of target sites within the open reading frame. Additionally, we show that CARP facilitates the dissection of complex changes in gene regulatory networks triggered by miRNAs and identification of transcription factors that mediate downstream regulatory changes. Given the robustness of the approach, CARP would be particularly suitable for dissecting miRNA regulatory networks in vivo.

Indexed as

Gene Regulatory Networks3' Untranslated Regions5' Untranslated RegionsComputational BiologyGene Expression ProfilingHEK293 CellsHumansMicroRNAsOpen Reading FramesSequence Analysis, RNATranscription FactorsTranscription, Genetic3' Untranslated Regions5' Untranslated RegionsMicroRNAsMIRN122 microRNA, humanMIRN1 microRNA, humanTranscription Factors

Identifiers

PMID32821933
PMCPMC7515711
OpenAlexW3080358918

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.