Evidence map›Paper›PMID 21197653›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine

Genome-wide approaches in the study of microRNA biology.

Melissa L Wilbert, Gene W Yeo

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine. 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
1.1field-weighted citation impact, top 20% 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, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. miR-182-5p Serves as an Oncogene in Lung Adenocarcinoma through Binding to STARD13.Computational and mathematical methods in medicine · 2021
    Article
  4. Posttranscriptional regulation of human endogenous retroviruses by RNA-binding motif protein 4, RBM4.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  5. Article
  6. Article
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  15. Article
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  17. 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

2 authors at 1 institution in 1 country.

Melissa L WilbertDepartment of Cellular and Molecular Medicine, Stem Cell Program, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA.
Gene W Yeo
University of California, San Diego · US

Funding

Training Program in Basic Clinical GeneticsT32GM008666 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMILTON, BRUCE A · 1998 to 2021
$8.6M
Genomic Measurement of Alternative SplicingR01GM084317 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI ARES, MANUEL, YEO, EUGENE WEI-MING · 2009 to 2012
$1.8M
NIGMS NIH HHS GM084317NIGMS NIH HHS R01 GM084317NIGMS NIH HHS T32 GM008666NIGMS NIH HHS T32GM008666
6 · The paper itself

Abstract

MicroRNAs (miRNAs), a class of ∼21-23 nucleotide long non-coding RNAs (ncRNAs), have critical roles in diverse biological processes that encompass development, proliferation, apoptosis, stress response, and fat metabolism. miRNAs recognize their target mRNA transcripts by partial sequence complementarity and collectively have been estimated to regulate the majority of human genes. Consequently, misregulation of miRNAs or disruption of their target sites in genes has been implicated in a variety of human diseases ranging from cancer metastasis to neurological disorders. With the development and availability of genomic technologies and computational approaches, the field of miRNA biology has advanced tremendously over the last decade. Here we review the genome-wide approaches that have allowed for the discovery of new miRNAs, the characterization of their targets, and a systems-level view of their impact.

Indexed as

Genome-Wide Association StudyAlgorithmsComputational BiologyGenomicsHumansMicroRNAsProteomicsTranscriptomeMicroRNAs

Identifiers

PMID21197653
PMCPMC3482411
OpenAlexW2050702321

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.