Evidence map›Paper›PMID 22955977›Full record

ArticleGenome research2012

Long noncoding RNAs are rarely translated in two human cell lines.

Balázs Bánfai, Hui Jia, Jainab Khatun, Emily Wood, Brian Risk, William E Gundling, Anshul Kundaje, Harsha P Gunawardena, Yanbao Yu, Ling Xie and 7 more

Open access · greenAbstract read
In one paragraph

Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 226 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
226citing 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

226 citing papers in PubMed, 1 synthesis or guideline pooled it, 388 citations in OpenAlex.

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166 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

17 authors at 5 institutions in 1 country.

Balázs BánfaiDepartment of Statistics, University of California, Berkeley, California 94720, USA.
Hui Jia
Jainab Khatun
Emily Wood
Brian Risk
William E Gundling
Anshul Kundaje
Harsha P Gunawardena
Yanbao Yu
Ling Xie
Krzysztof Krajewski
Brian D Strahl
Xian Chen
Peter Bickel
Morgan C Giddings
James B Brown
Leonard Lipovich
University of North Carolina at Chapel Hill · USWayne State University · USBoise State University · USUniversity of California, Berkeley · USPalo Alto University · US

Funding

Nonparametric methods for functional and translational genomicsK99HG006698 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI BROWN, JAMES BENTLEY · 2012 to 2013
$206k
NHGRI NIH HHS K99 HG006698
6 · The paper itself

Abstract

Data from the Encyclopedia of DNA Elements (ENCODE) project show over 9640 human genome loci classified as long noncoding RNAs (lncRNAs), yet only ~100 have been deeply characterized to determine their role in the cell. To measure the protein-coding output from these RNAs, we jointly analyzed two recent data sets produced in the ENCODE project: tandem mass spectrometry (MS/MS) data mapping expressed peptides to their encoding genomic loci, and RNA-seq data generated by ENCODE in long polyA+ and polyA- fractions in the cell lines K562 and GM12878. We used the machine-learning algorithm RuleFit3 to regress the peptide data against RNA expression data. The most important covariate for predicting translation was, surprisingly, the Cytosol polyA- fraction in both cell lines. LncRNAs are ~13-fold less likely to produce detectable peptides than similar mRNAs, indicating that ~92% of GENCODE v7 lncRNAs are not translated in these two ENCODE cell lines. Intersecting 9640 lncRNA loci with 79,333 peptides yielded 85 unique peptides matching 69 lncRNAs. Most cases were due to a coding transcript misannotated as lncRNA. Two exceptions were an unprocessed pseudogene and a bona fide lncRNA gene, both with open reading frames (ORFs) compromised by upstream stop codons. All potentially translatable lncRNA ORFs had only a single peptide match, indicating low protein abundance and/or false-positive peptide matches. We conclude that with very few exceptions, ribosomes are able to distinguish coding from noncoding transcripts and, hence, that ectopic translation and cryptic mRNAs are rare in the human lncRNAome.

Indexed as

Protein BiosynthesisAmino Acid SequenceBase SequenceCell LineGene ExpressionGene Expression ProfilingGene Expression RegulationHumansK562 CellsMolecular Sequence AnnotationMolecular Sequence DataPeptidesRNA, Long NoncodingRNA, MessengerSequence AlignmentTandem Mass SpectrometryPeptidesRNA, Long NoncodingRNA, Messenger

Identifiers

PMID22955977
PMCPMC3431482
OpenAlexW2158898099

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.