Evidence map›Paper›PMID 25354783›Full record

ArticleMolecular bioSystems2015

Identification of miR-145 targets through an integrated omics analysis.

Tai-Chung Huang, Santosh Renuse, Sneha Pinto, Praveen Kumar, Yi Yang, Raghothama Chaerkady, Brian Godsey, Joshua T Mendell, Marc K Halushka, Curt I Civin and 2 more

Abstract read
In one paragraph

Article in Molecular bioSystems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Review
  9. MicroRNAs in pancreatic cancer diagnosis and therapy.Central-European journal of immunology · 2018
    Review
  10. Review
  11. Article
  12. MicroRNA Targeted Therapeutic Approach for Pancreatic Cancer.International journal of biological sciences · 2016
    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

12 authors at 6 institutions in 2 countries.

Tai-Chung HuangMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Santosh Renuse
Sneha Pinto
Praveen Kumar
Yi Yang
Raghothama Chaerkady
Brian Godsey
Joshua T Mendell
Marc K Halushka
Curt I Civin
Luigi Marchionni
Akhilesh Pandey
Johns Hopkins Medicine · USInstitute of Bioinformatics · INUniversity of Maryland, Baltimore · USJohns Hopkins University · USThe University of Texas Southwestern Medical Center · USUniversity of Baltimore · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Predoctoral Training Program in Human GeneticsT32GM007814 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 1985 to 2021
$10.6M
Networks, Pathways and Dynamics of Lysine ModificationU54GM103520 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BADER, JOEL S. · 2012 to 2013
$7.0M
c-Myc-regulated microRNAs in normal and pathologic cellular physiologyR01CA120185 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MENDELL, JOSHUA T · 2007 to 2015
$2.5M
NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA120185NCI NIH HHS U24 CA160036NCI NIH HHS U24CA160036NHLBI NIH HHS HHSN268201000032CNIGMS NIH HHS T32 GM007814NIGMS NIH HHS U54 GM103520NIGMS NIH HHS U54GM103520PHS HHS HHSN268201000032C
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression and protein synthesis. To characterize functions of miRNAs and to assess their potential applications, we carried out an integrated multi-omics analysis to study miR-145, a miRNA that has been shown to suppress tumor growth. We employed gene expression profiling, miRNA profiling and quantitative proteomic analysis of a pancreatic cancer cell line. In our transcriptomic analysis, overexpression of miR-145 was found to suppress the expression of genes that are implicated in development of cancer such as ITGA11 and MAGEA4 in addition to previously described targets such as FSCN1, YES1 and PODXL. Based on miRNA profiling, overexpression of miR-145 also upregulated other miRNAs including miR-124, miR-133b and miR-125a-3p, all of which are implicated in suppression of tumors and are generally co-regulated with miR-145 in other cancers. Using the SILAC system, we identified miR-145-induced downregulation of several oncoproteins/cancer biomarkers including SET, RPA1, MCM2, ABCC1, SPTBN1 and SPTLC1. Luciferase assay validation carried out on a subset of downregulated candidate targets confirmed them to be novel direct targets of miR-145. Overall, this multi-omics approach provided insights into miR-145-mediated tumor suppression and could be used as a general strategy to study the targets of individual miRNAs.

Indexed as

Gene Expression RegulationGenomicsRNA InterferenceBinding SitesCell Line, TumorComputational BiologyDown-RegulationGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, ReporterHumansMicroRNAsProteomeProteomicsRNA, MessengerMicroRNAsMIRN145 microRNA, humanProteomeRNA, Messenger

Identifiers

PMID25354783
PMCPMC4352311
OpenAlexW2146220410

What OpenQuestion holds

Textmetadata
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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.