Evidence map›Paper›PMID 21724616›Full record

ArticleNucleic acids research2011

Specific sequence determinants of miR-15/107 microRNA gene group targets.

Peter T Nelson, Wang-Xia Wang, Guogen Mao, Bernard R Wilfred, Kevin Xie, Mary H Jennings, Zhen Gao, Xiaowei Wang

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Computational Detection of MicroRNA Targets.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Dynamic miRNA-mRNA paradigms: New faces of miRNAs.Biochemistry and biophysics reports · 2015
    Review
  19. Article
  20. Analysis of 13 cell types reveals evidence for the expression of numerous novel primate- and tissue-specific microRNAs.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
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

8 authors.

Peter T NelsonDepartment of Pathology and Division of Neuropathology, University of Kentucky Medical Center, Lexington, KY 40536, USA. pnels2@email.uky.edu
Wang-Xia Wang
Guogen Mao
Bernard R Wilfred
Kevin Xie
Mary H Jennings
Zhen Gao
Xiaowei Wang

Funding

COMBINED COMPUTATIONAL AND EXPERIMENTAL ANALYSES OF GENE REGULATION BY MICRORNAS.R01GM089784 · NIGMS · WASHINGTON UNIVERSITY · PI WANG, XIAOWEI · 2010 to 2019
$2.8M
A specific microRNA (Mir-107) is a potential therapeutic target in Alzheimer's diR01NS061933 · NINDS · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2008 to 2011
$1.3M
Alpha-synuclein mRNA is a putative microRNA targetK08NS050110 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI NELSON, PETER T. · 2005 to 2009
$863k
Novel assay identifies all microRNA targets in Alzheimer and normal aged brainsR21AG036875 · NIA · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2010 to 2011
$341k
NIA NIH HHS R21AG036875NIGMS NIH HHS R01 GM089784NINDS NIH HHS K08 NS050110NINDS NIH HHS R01 NS061933NINDS NIH HHS R01NS061933
6 · The paper itself

Abstract

MicroRNAs (miRNAs) target mRNAs in human cells via complex mechanisms that are still incompletely understood. Using anti-Argonaute (anti-AGO) antibody co-immunoprecipitation, followed by microarray analyses and downstream bioinformatics, 'RIP-Chip' experiments enable direct analyses of miRNA targets. RIP-Chip studies (and parallel assessments of total input mRNA) were performed in cultured H4 cells after transfection with miRNAs corresponding to the miR-15/107 gene group (miR-103, miR-107, miR-16 and miR-195), and five control miRNAs. Three biological replicates were run for each condition with a total of 54 separate human Affymetrix Human Gene 1.0 ST array replicates. Computational analyses queried for determinants of miRNA:mRNA binding. The analyses support four major findings: (i) RIP-Chip studies correlated with total input mRNA profiling provides more comprehensive information than using either RIP-Chip or total mRNA profiling alone after miRNA transfections; (ii) new data confirm that miR-107 paralogs target coding sequence (CDS) of mRNA; (iii) biochemical and computational studies indicate that the 3' portion of miRNAs plays a role in guiding miR-103/7 to the CDS of targets; and (iv) there are major sequence-specific targeting differences between miRNAs in terms of CDS versus 3'-untranslated region targeting, and stable AGO association versus mRNA knockdown. Future studies should take this important miRNA-to-miRNA variability into account.

Indexed as

Down-RegulationArgonaute ProteinsBase SequenceCell LineGene Expression ProfilingHumansImmunoprecipitationMicroRNAsOligonucleotide Array Sequence AnalysisRNA, MessengerArgonaute ProteinsMicroRNAsMIRN107 microRNA, humanMIRN15 microRNA, humanRNA, Messenger

Identifiers

PMID21724616
PMCPMC3185429

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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.