Evidence map›Paper›PMID 27415830›Full record

ArticlePloS one2016

A Novel Analytical Strategy to Identify Fusion Transcripts between Repetitive Elements and Protein Coding-Exons Using RNA-Seq.

Tianyuan Wang, Janine H Santos, Jian Feng, David C Fargo, Li Shen, Gonzalo Riadi, Elizabeth Keeley, Zachary S Rosh, Eric J Nestler, Richard P Woychik

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. A brain-specificLife science alliance · 2021
    Article
  3. Article
  4. Review
  5. Transposon expression in theGenome research · 2020
    Article
  6. 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

10 authors at 4 institutions in 2 countries.

Tianyuan WangNational Institute of Environmental Health Sciences (NIEHS), 111 TW Alexander Drive, Building 101, Research Triangle Park, NC, 27709, United States of America.
Janine H SantosNational Institute of Environmental Health Sciences (NIEHS), 111 TW Alexander Drive, Building 101, Research Triangle Park, NC, 27709, United States of America.
Jian FengFishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1065, New York, NY, 10029, United States of America.
David C FargoNational Institute of Environmental Health Sciences (NIEHS), 111 TW Alexander Drive, Building 101, Research Triangle Park, NC, 27709, United States of America.
Li ShenFishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1065, New York, NY, 10029, United States of America.
Gonzalo RiadiCentro de Bioinformática y Simulación Molecular (CBSM), Departamiento de Bioinformática, Facultad de Ingeniería, Universidad de Talca, Av. 2 Norte, 685, Talca, 3465548, Chile.
Elizabeth KeeleyFishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1065, New York, NY, 10029, United States of America.
Zachary S RoshFishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1065, New York, NY, 10029, United States of America.
Eric J NestlerFishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1065, New York, NY, 10029, United States of America.
Richard P WoychikNational Institute of Environmental Health Sciences (NIEHS), 111 TW Alexander Drive, Building 101, Research Triangle Park, NC, 27709, United States of America.
Allen Institute for Brain Science · USNational Institute of Environmental Health Sciences · USIcahn School of Medicine at Mount Sinai · USUniversity of Talca · CL

Funding

TRANSGENIC COREP01DA008227 · NIDA · YALE UNIVERSITY · PI NESTLER, ERIC J. · 1993 to 2018
$28.1M
REPRESSIVE HISTONE AND DNA METHYLATION IN RODENT DEPRESSION MODELSP50MH096890 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TAMMINGA, CAROL A · 2012 to 2021
$20.2M
MOLECULAR STUDIES OF COCAINE ACTION IN BRAINR37DA007359 · NIDA · YALE UNIVERSITY · PI NESTLER, ERIC J. · 1996 to 2020
$6.9M
The broad impact of environmental exposures on repetitive element expression in cellular biologyZIAES103187 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WOYCHIK, RICHARD · 2014 to 2020
$3.6M
NIDA NIH HHS P01 DA008227NIDA NIH HHS R37 DA007359NIMH NIH HHS P50 MH096890
6 · The paper itself

Abstract

Repetitive elements (REs) comprise 40-60% of the mammalian genome and have been shown to epigenetically influence the expression of genes through the formation of fusion transcript (FTs). We previously showed that an intracisternal A particle forms an FT with the agouti gene in mice, causing obesity/type 2 diabetes. To determine the frequency of FTs genome-wide, we developed a TopHat-Fusion-based analytical pipeline to identify FTs with high specificity. We applied it to an RNA-seq dataset from the nucleus accumbens (NAc) of mice repeatedly exposed to cocaine. Cocaine was previously shown to increase the expression of certain REs in this brain region. Using this pipeline that can be applied to single- or paired-end reads, we identified 438 genes expressing 813 different FTs in the NAc. Although all types of studied repeats were present in FTs, simple sequence repeats were underrepresented. Most importantly, reverse-transcription and quantitative PCR validated the expression of selected FTs in an independent cohort of animals, which also revealed that some FTs are the prominent isoforms expressed in the NAc by some genes. In other RNA-seq datasets, developmental expression as well as tissue specificity of some FTs differed from their corresponding non-fusion counterparts. Finally, in silico analysis predicted changes in the structure of proteins encoded by some FTs, potentially resulting in gain or loss of function. Collectively, these results indicate the robustness of our pipeline in detecting these new isoforms of genes, which we believe provides a valuable tool to aid in better understanding the broad role of REs in mammalian cellular biology.

Indexed as

AnimalsCocaineExonsGene Expression RegulationGene FusionInterspersed Repetitive SequencesMaleMiceMice, Inbred C57BLNucleus AccumbensPolymerase Chain ReactionSensitivity and SpecificitySequence Analysis, RNACocaine

Identifiers

PMID27415830
PMCPMC4945064
OpenAlexW2469312215

What OpenQuestion holds

Textmetadata
LicenceCC0
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.