Evidence map›Paper›PMID 25869999›Full record

ReviewTrends in genetics : TIG2015

The Landscape of long noncoding RNA classification.

Georges St Laurent, Claes Wahlestedt, Philipp Kapranov

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 673 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
673citing papers in PubMed, 1 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

673 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Mechanistic study of antisense long non-coding RNAExploration of targeted anti-tumor therapy · 2026
    Article
  20. Review

613 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

3 authors.

Georges St LaurentSt. Laurent Institute, 317 New Boston St., Suite 201, Woburn, MA 01801 USA; Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, 185 Meeting Street, Providence, RI 02912, USA.
Claes WahlestedtCenter for Therapeutic Innovation and Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1501 NW 10th Ave, Miami, FL 33136 USA. Electronic address: cwahlestedt@med.miami.edu.
Philipp KapranovInstitute of Genomics, School of Biomedical Sciences, Huaqiao Univerisity, 668 Jimei Road, Xiamen, China 361021; St. Laurent Institute, 317 New Boston St., Suite 201, Woburn, MA 01801 USA. Electronic address: philippk08@hotmail.com.

Funding

Vitamin D Concentration, Genetic Modifiers, and Parkinson DiseaseP50NS071674 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI VANCE, JEFFERY MARVIN · 2010 to 2015
$10.2M
Comprehensive analysis of the FMR1 locus transcriptional landscapeR01MH084880 · NIMH · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI WAHLESTEDT, CLAES ROBERT · 2010 to 2014
$2.0M
Role of noncoding RNAs in schizophreniaR01MH083733 · NIMH · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI WAHLESTEDT, CLAES ROBERT · 2008 to 2012
$2.0M
Antisense RNA Mediated Epigenetic Regulation of Brain Derived Neurotrophic FactorR01NS081208 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI FAGHIHI, MOHAMMAD ALI · 2013 to 2017
$1.7M
Regulatory RNAs as mediators and biomarkers in Alzheimer's DiseaseR01NS063974 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI WAHLESTEDT, CLAES ROBERT · 2009 to 2012
$1.6M
Noncoding RNAs as epigenomic modulators in Alzheimer's DiseaseRC2AG036596 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI WAHLESTEDT, CLAES ROBERT · 2009 to 2010
$915k
Long noncoding RNAs and chromatin regulation in cocaine addictionR21DA035592 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI WAHLESTEDT, CLAES ROBERT · 2014 to 2015
$381k
NIA NIH HHS RC2 AG036596NIDA NIH HHS DA035592NIDA NIH HHS R21 DA035592NIMH NIH HHS MH084880NIMH NIH HHS R01 MH083733NIMH NIH HHS R01 MH084880NINDS NIH HHS NS071674NINDS NIH HHS P50 NS071674NINDS NIH HHS R01 NS063974NINDS NIH HHS R01 NS081208
6 · The paper itself

Abstract

Advances in the depth and quality of transcriptome sequencing have revealed many new classes of long noncoding RNAs (lncRNAs). lncRNA classification has mushroomed to accommodate these new findings, even though the real dimensions and complexity of the noncoding transcriptome remain unknown. Although evidence of functionality of specific lncRNAs continues to accumulate, conflicting, confusing, and overlapping terminology has fostered ambiguity and lack of clarity in the field in general. The lack of fundamental conceptual unambiguous classification framework results in a number of challenges in the annotation and interpretation of noncoding transcriptome data. It also might undermine integration of the new genomic methods and datasets in an effort to unravel the function of lncRNA. Here, we review existing lncRNA classifications, nomenclature, and terminology. Then, we describe the conceptual guidelines that have emerged for their classification and functional annotation based on expanding and more comprehensive use of large systems biology-based datasets.

Indexed as

AnimalsHumansRNA, Long NoncodingRNA, Long Noncodingannotation of long non-coding RNAsclassification of long non-coding RNAsfunction of long non-coding RNAslincRNAlncRNAlong non-coding RNAsystems biologytranscriptomevlincRNA

Identifiers

PMID25869999
PMCPMC4417002

What OpenQuestion holds

Textmetadata
LicenceTDM
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.