Evidence map›Paper›PMID 30413564›Full record

ArticleRNA (New York, N.Y.)2019

RBP-Maps enables robust generation of splicing regulatory maps.

Brian A Yee, Gabriel A Pratt, Brenton R Graveley, Eric L Van Nostrand, Gene W Yeo

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–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

55 citing papers in PubMed.

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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

5 authors.

Brian A YeeDepartment of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, California 92093, USA.
Gabriel A PrattDepartment of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, California 92093, USA.
Brenton R GraveleyDepartment of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, Connecticut 06030, USA.
Eric L Van NostrandDepartment of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, California 92093, USA.
Gene W YeoDepartment of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, California 92093, USA.

Funding

Comprhensive analysis of functional RNA elements encoded in the human genomeU54HG007005 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GRAVELEY, BRENTON R. · 2012 to 2017
$12.5M
Functional RNA elements in the human genomeR01HG004659 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Kevin Daniel Corbett, Eugene Wei-Ming Yeo · 2008 to 2026
$12.4M
A Comprehensive Functional Map of Human Protein-RNA InteractionsU41HG009889 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GRAVELEY, BRENTON R. · 2018 to 2021
$9.4M
A comprehensive binding and functional map of human RNA-binding proteinsU24HG009889 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GRAVELEY, BRENTON R., YEO, EUGENE WEI-MING · 2022 to 2025
$5.5M
Robust, high-throughput identification of RNA processing regulators and regulatory networks genome-wideR00HG009530 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI VAN NOSTRAND, ERIC LYMAN · 2020 to 2022
$747k
Light-induced reversible manipulation of neurotransmitter releaseR21NS075499 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI KAVALALI, EGE T · 2011 to 2012
$436k
Robust, high-throughput identification of RNA processing regulators and regulatory networks genome-wideK99HG009530 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI VAN NOSTRAND, ERIC LYMAN · 2017 to 2018
$250k
NHGRI NIH HHS K99 HG009530NHGRI NIH HHS R00 HG009530NHGRI NIH HHS R01 HG004659NHGRI NIH HHS U24 HG009889NHGRI NIH HHS U41 HG009889NHGRI NIH HHS U54 HG007005NINDS NIH HHS R21 NS075499
6 · The paper itself

Abstract

Alternative splicing of pre-messenger RNA transcripts enables the generation of multiple protein isoforms from the same gene locus, providing a major source of protein diversity in mammalian genomes. RNA binding proteins (RBPs) bind to RNA to control splice site choice and define which exons are included in the resulting mature RNA transcript. However, depending on where the RBPs bind relative to splice sites, they can activate or repress splice site usage. To explore this position-specific regulation, in vivo binding sites identified by methods such as cross-linking and immunoprecipitation (CLIP) are integrated with alternative splicing events identified by RNA-seq or microarray. Merging these data sets enables the generation of a "splicing map," where CLIP signal relative to a merged meta-exon provides a simple summary of the position-specific effect of binding on splicing regulation. Here, we provide RBP-Maps, a software tool to simplify generation of these maps and enable researchers to rapidly query regulatory patterns of an RBP of interest. Further, we discuss various alternative approaches to generate such splicing maps, focusing on how decisions in construction (such as the use of peak versus read density, or whole-reads versus only single-nucleotide candidate crosslink positions) can affect the interpretation of these maps using example eCLIP data from the 150 RBPs profiled by the ENCODE consortium.

Indexed as

SoftwareAlternative SplicingComputational BiologyGene Expression RegulationHumansProtein IsoformsRNA-Binding ProteinsRNA, MessengerRNA Splice SitesSequence Analysis, RNAProtein IsoformsRNA-Binding ProteinsRNA, MessengerRNA Splice Sitesalternative splicingeCLIPRNA binding proteinsplicing map

Identifiers

PMID30413564
PMCPMC6348990

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Registered trials

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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.