Evidence map›Paper›PMID 23550052›Full record

ArticleMolecular & cellular proteomics : MCP2013

Integrative omics analysis reveals the importance and scope of translational repression in microRNA-mediated regulation.

Qi Liu, Patrick J Halvey, Yu Shyr, Robbert J C Slebos, Daniel C Liebler, Bing Zhang

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Methods, Tools and Current Perspectives in Proteogenomics.Molecular & cellular proteomics : MCP · 2017
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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

6 authors at 1 institution in 1 country.

Qi LiuDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA.
Patrick J Halvey
Yu Shyr
Robbert J C Slebos
Daniel C Liebler
Bing Zhang
Vanderbilt University · US

Funding

Understanding and Controlling p120 Dysfunction in CRCP50CA095103 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2002 to 2017
$33.6M
Vanderbilt Proteome Characterization CenterU24CA159988 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LIEBLER, DANIEL C · 2011 to 2016
$13.9M
Clinical Proteomic Technology Assessment for CancerU24CA126479 · NCI · VANDERBILT UNIVERSITY · PI LIEBLER, DANIEL C · 2006 to 2010
$7.9M
Systems Approach to the Biological Basis of Colon Cancer MetastasesR01GM088822 · NIGMS · VANDERBILT UNIVERSITY · PI BEAUCHAMP, ROBERT DANIEL, ZHANG, BING · 2009 to 2012
$1.5M
NCI NIH HHS P50 CA095103NCI NIH HHS U24 CA126479NCI NIH HHS U24CA126479NCI NIH HHS U24 CA159988NIGMS NIH HHS R01 GM088822NIGMS NIH HHS R01GM088822
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are key post-transcriptional regulators that inhibit gene expression by promoting mRNA decay and/or suppressing translation. However, the relative contributions of these two mechanisms to gene repression remain controversial. Early studies favor a translational repression-centric scenario, whereas recent large-scale studies suggest a dominant role of mRNA decay in miRNA regulation. Here we generated proteomics data for nine colorectal cancer cell lines and integrated them with matched miRNA and mRNA expression data to infer and characterize miRNA-mediated regulation. Consistent with previous reports, we found that 8mer site, site positioning within 3'UTR, local AU-rich context, and additional 3' pairing could all help boost miRNA-mediated mRNA decay. However, these sequence features were generally not correlated with increased translational repression, except for local AU-rich context. Thus the contribution of translational repression might be underestimated in recent studies in which the analyses were based primarily on the response of genes with canonical 7-8 mer sites in 3'UTRs. Indeed, we found that translational repression was involved in more than half, and played a major role in one-third of all predicted miRNA-target interactions. It was even the predominant contributor to miR-138 mediated regulation, which was further supported by the observation that differential expression of miR-138 in two genetically matched cell lines corresponded to altered protein but not mRNA abundance of most target genes. In addition, our study also provided interesting insights into colon cancer biology such as the possible contributions of miR-138 and miR-141/miR-200c in inducing specific phenotypes of SW480 and RKO cell lines, respectively.

Indexed as

Gene Expression RegulationCell Line, TumorHumansMicroRNAsProteomicsRNA, MessengerTranscriptomeMicroRNAsRNA, Messenger

Identifiers

PMID23550052
PMCPMC3708174
OpenAlexW2110914447

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.