Evidence map›Paper›PMID 23685613›Full record

ArticleNucleic acids research2013

Prediction of clustered RNA-binding protein motif sites in the mammalian genome.

Chaolin Zhang, Kuang-Yung Lee, Maurice S Swanson, Robert B Darnell

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 76 citations in OpenAlex.

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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

4 authors at 4 institutions in 2 countries.

Chaolin ZhangLaboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA. cz2294@columbia.edu
Kuang-Yung Lee
Maurice S Swanson
Robert B Darnell
Howard Hughes Medical Institute · USKeelung Chang Gung Memorial Hospital · TWRockefeller University · USUniversity of Florida · US

Funding

TRANSFORMING TRANSLATIONAL SCIENCE AND EDUCATION TO BENEFIT HUMAN HEALTHUL1RR024143 · NCRR · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2006 to 2011
$49.1M
Temporal/spatial RNA Expression Effects in DM1 and DM2P01NS058901 · NINDS · UNIVERSITY OF MINNESOTA · PI RANUM, LAURA P.W · 2008 to 2017
$12.3M
NEUROLOGY AND THE MOLECULAR ROLE OF N-RBPS IN THE BRAINR01NS034389 · NINDS · ROCKEFELLER UNIVERSITY · PI DARNELL, ROBERT B · 1995 to 2016
$6.3M
Mapping the mechanisms of protein synthesis-dependent synaptic plasticityR01NS081706 · NINDS · ROCKEFELLER UNIVERSITY · PI DARNELL, ROBERT B · 2012 to 2016
$5.3M
RNA DOMINANCE IN HUMAN DISEASER01AR046799 · NIAMS · UNIVERSITY OF FLORIDA · PI SWANSON, MAURICE SCOTT · 2000 to 2014
$4.2M
An integrative genomic strategy to infer global RNA regulatory networksR00GM095713 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, CHAOLIN · 2013 to 2015
$747k
Neurology and the molecular role of N-RBPs in the brainR56NS034389 · NINDS · ROCKEFELLER UNIVERSITY · PI DARNELL, ROBERT B · 2012 to 2012
$590k
An integrative genomic strategy to infer global RNA regulatory networksK99GM095713 · NIGMS · ROCKEFELLER UNIVERSITY · PI ZHANG, CHAOLIN · 2011 to 2012
$180k
NCRR NIH HHS UL1 RR024143NIAMS NIH HHS R01 AR046799NIGMS NIH HHS K99GM95713NIGMS NIH HHS R00 GM095713NINDS NIH HHS NS058901NINDS NIH HHS NS34389NINDS NIH HHS P01 NS058901NINDS NIH HHS R01 NS034389NINDS NIH HHS R01 NS081706
6 · The paper itself

Abstract

Sequence-specific interactions of RNA-binding proteins (RBPs) with their target transcripts are essential for post-transcriptional gene expression regulation in mammals. However, accurate prediction of RBP motif sites has been difficult because many RBPs recognize short and degenerate sequences. Here we describe a hidden Markov model (HMM)-based algorithm mCarts to predict clustered functional RBP-binding sites by effectively integrating the number and spacing of individual motif sites, their accessibility in local RNA secondary structures and cross-species conservation. This algorithm learns and quantifies rules of these features, taking advantage of a large number of in vivo RBP-binding sites obtained from cross-linking and immunoprecipitation data. We applied this algorithm to study two representative RBP families, Nova and Mbnl, which regulate tissue-specific alternative splicing through interacting with clustered YCAY and YGCY elements, respectively, and predicted their binding sites in the mouse transcriptome. Despite the low information content in individual motif elements, our algorithm made specific predictions for successful experimental validation. Analysis of predicted sites also revealed cases of extensive and distal RBP-binding sites important for splicing regulation. This algorithm can be readily applied to other RBPs to infer their RNA-regulatory networks. The software is freely available at http://zhanglab.c2b2.columbia.edu/index.php/MCarts.

Indexed as

AlgorithmsAlternative SplicingAnimalsAntigens, NeoplasmBinding SitesExonsGenomeHigh-Throughput Nucleotide SequencingImmunoprecipitationMarkov ChainsMiceNerve Tissue ProteinsNeuro-Oncological Ventral AntigenNucleotide MotifsProtein Structure, TertiaryRNAAntigens, NeoplasmMbnl2 protein, mouseNerve Tissue ProteinsNeuro-Oncological Ventral AntigenRNARNA-Binding Proteins

Identifiers

PMID23685613
PMCPMC3737533
OpenAlexW2076875970

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.