Evidence map›Paper›PMID 28881990›Full record

ArticleBioinformatics (Oxford, England)2017

A new method to study the change of miRNA-mRNA interactions due to environmental exposures.

Francesca Petralia, Vasily N Aushev, Kalpana Gopalakrishnan, Maya Kappil, Nyan W Khin, Jia Chen, Susan L Teitelbaum, Pei Wang

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Francesca PetraliaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Vasily N AushevDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kalpana GopalakrishnanDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Maya KappilDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Nyan W KhinDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jia ChenDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Susan L TeitelbaumDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Pei WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora · 2014 to 2026
$21.3M
Research Training Program in Pediatric ExposomicsT32HD049311 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2007 to 2026
$7.4M
Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision MedicineU24CA210993 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SCHADT, ERIC E, WANG, PEI · 2016 to 2020
$4.6M
Statistical Methods for Analysis of Tumor Heterogeneity in Genetic EpidemiologyR01CA189532 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSU, LI · 2015 to 2023
$4.2M
MicroRNA & Breast Cancer: Functional Characterization in a Population-Based StudyR01CA172460 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHEN, JIA · 2013 to 2017
$3.2M
Integrative multivariate association and genomic analysesR01GM108711 · NIGMS · UNIVERSITY OF CHICAGO · PI CHEN, LIN · 2014 to 2022
$3.1M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
NCI NIH HHS R01 CA172460NCI NIH HHS R01 CA189532NCI NIH HHS U24 CA210993NICHD NIH HHS T32 HD049311NIEHS NIH HHS P30 ES023515NIGMS NIH HHS R01 GM108711NIH HHS S10 OD018522
6 · The paper itself

Abstract

motivationIntegrative approaches characterizing the interactions among different types of biological molecules have been demonstrated to be useful for revealing informative biological mechanisms. One such example is the interaction between microRNA (miRNA) and messenger RNA (mRNA), whose deregulation may be sensitive to environmental insult leading to altered phenotypes. The goal of this work is to develop an effective data integration method to characterize deregulation between miRNA and mRNA due to environmental toxicant exposures. We will use data from an animal experiment designed to investigate the effect of low-dose environmental chemical exposure on normal mammary gland development in rats to motivate and evaluate the proposed method.

resultsWe propose a new network approach-integrative Joint Random Forest (iJRF), which characterizes the regulatory system between miRNAs and mRNAs using a network model. iJRF is designed to work under the high-dimension low-sample-size regime, and can borrow information across different treatment conditions to achieve more accurate network inference. It also effectively takes into account prior information of miRNA-mRNA regulatory relationships from existing databases. When iJRF is applied to the data from the environmental chemical exposure study, we detected a few important miRNAs that regulated a large number of mRNAs in the control group but not in the exposed groups, suggesting the disruption of miRNA activity due to chemical exposure. Effects of chemical exposure on two affected miRNAs were further validated using breast cancer human cell lines. AVAILABILITY AND IMPLEMENTATION: R package iJRF is available at CRAN. CONTACTS: pei.wang@mssm.edu or susan.teitelbaum@mssm.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Environmental ExposureSoftwareAnimalsCell LineComputational BiologyGene Expression RegulationHumansMicroRNAsModels, BiologicalRatsRNA, MessengerSample SizeTranscriptomeMicroRNAsRNA, Messenger

Identifiers

PMID28881990
PMCPMC5870720
OpenAlexW2734643988

What OpenQuestion holds

Textmetadata
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.