Evidence map›Paper›PMID 25063298›Full record

ArticleNucleic acids research2014

The multiMiR R package and database: integration of microRNA-target interactions along with their disease and drug associations.

Yuanbin Ru, Katerina J Kechris, Boris Tabakoff, Paula Hoffman, Richard A Radcliffe, Russell Bowler, Spencer Mahaffey, Simona Rossi, George A Calin, Lynne Bemis and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 552 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
552citing papers in PubMed, 2 pooled it
–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

552 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Circulating microRNAs Predict Longitudinal Asthma Control and Treatment Response.medRxiv : the preprint server for health sciences · 2026
    Article

492 more citing papers are in PubMed but not listed here.

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

11 authors.

Yuanbin RuDepartment of Surgery, School of Medicine, University of Colorado Denver, Aurora, CO 80045, USA.
Katerina J KechrisDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, Aurora, CO 80045, USA Katerina.Kechris@ucdenver.edu.
Boris TabakoffDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Colorado Denver, Aurora, CO 80045, USA.
Paula HoffmanDepartment of Pharmacology, School of Medicine, University of Colorado Denver, Aurora, CO 80045, USA.
Richard A RadcliffeDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Colorado Denver, Aurora, CO 80045, USA.
Russell BowlerDepartment of Medicine, National Jewish Health, Denver, CO 80206, USA.
Spencer MahaffeyDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Colorado Denver, Aurora, CO 80045, USA.
Simona RossiDepartment of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
George A CalinDepartment of Experimental Therapeutics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Lynne BemisDepartment of Biomedical Sciences, University of Minnesota Medical School Duluth Campus, Duluth, MN 55812, USA.
Dan TheodorescuDepartment of Surgery, School of Medicine, University of Colorado Denver, Aurora, CO 80045, USA Department of Pharmacology, School of Medicine, University of Colorado Denver, Aurora, CO 80045, USA University of Colorado Comprehensive Cancer Center, Aurora, CO 80045, USA Dan.Theodorescu@ucdenver.edu.

Funding

The Heritable Transcriptome and AlcoholismR24AA013162 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI HOFFMAN, PAULA, SABA, LAURA MAREN · 2001 to 2021
$14.2M
Regulation and Targeting of CD24 in Bladder CancerR01CA075115 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI THEODORESCU, DAN · 2003 to 2024
$7.0M
Understanding the RhoGDI2 metastasis suppressor geneR01CA143971 · NCI · UNIVERSITY OF COLORADO DENVER · PI THEODORESCU, DAN · 2010 to 2020
$4.4M
Genetic Studies of Alcohol ToleranceR01AA016957 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI RADCLIFFE, RICHARD A · 2009 to 2013
$2.5M
Genome-wide identification of miRNAs associated with alcoholism endophenotypesR01AA021131 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI KECHRIS-MAYS, KATHERINA · 2013 to 2017
$1.6M
Genomic regulatory sequence analysis for alcohol-related phenotypesK01AA016922 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI KECHRIS-MAYS, KATHERINA · 2007 to 2011
$737k
NCI NIH HHS R01CA075115NIAAA NIH HHS K01AA16922NIAAA NIH HHS R01 AA016957NIAAA NIH HHS R01AA016957NIAAA NIH HHS R01 AA021131NIAAA NIH HHS R01AA021131NIAAA NIH HHS R24AA013162
6 · The paper itself

Abstract

microRNAs (miRNAs) regulate expression by promoting degradation or repressing translation of target transcripts. miRNA target sites have been catalogued in databases based on experimental validation and computational prediction using various algorithms. Several online resources provide collections of multiple databases but need to be imported into other software, such as R, for processing, tabulation, graphing and computation. Currently available miRNA target site packages in R are limited in the number of databases, types of databases and flexibility. We present multiMiR, a new miRNA-target interaction R package and database, which includes several novel features not available in existing R packages: (i) compilation of nearly 50 million records in human and mouse from 14 different databases, more than any other collection; (ii) expansion of databases to those based on disease annotation and drug microRNAresponse, in addition to many experimental and computational databases; and (iii) user-defined cutoffs for predicted binding strength to provide the most confident selection. Case studies are reported on various biomedical applications including mouse models of alcohol consumption, studies of chronic obstructive pulmonary disease in human subjects, and human cell line models of bladder cancer metastasis. We also demonstrate how multiMiR was used to generate testable hypotheses that were pursued experimentally.

Indexed as

3' Untranslated RegionsDatabases, Nucleic AcidSoftwareAlcohol DrinkingAnimalsAntineoplastic AgentsCell Line, TumorHumansMiceMicroRNAsNeoplasm MetastasisPulmonary Disease, Chronic ObstructiveUrinary Bladder Neoplasms3' Untranslated RegionsAntineoplastic AgentsMicroRNAs

Identifiers

PMID25063298
PMCPMC4176155

What OpenQuestion holds

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LicenceCC BY-NC
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.