Evidence map›Paper›PMID 26760575›Full record

ArticleRNA biology2016

High-throughput analyses of hnRNP H1 dissects its multi-functional aspect.

Philip J Uren, Emad Bahrami-Samani, Patricia Rosa de Araujo, Christine Vogel, Mei Qiao, Suzanne C Burns, Andrew D Smith, Luiz O F Penalva

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. RNArchitects: how hnRNPs shape neuronal landscapes.Brain : a journal of neurology · 2026
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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

8 authors at 4 institutions in 1 country.

Philip J Urena Molecular and Computational Biology , Department of Biological Sciences, University of Southern California , CA , USA.
Emad Bahrami-Samania Molecular and Computational Biology , Department of Biological Sciences, University of Southern California , CA , USA.
Patricia Rosa de Araujob Department of Cellular and Structural Biology , University of Texas Health Science Center at San Antonio , TX , USA.
Christine Vogeld Center for Genomics and Systems Biology , Department of Biology, New York University , NY , USA.
Mei Qiaoc Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio , TX , USA.
Suzanne C Burnsc Children's Cancer Research Institute, University of Texas Health Science Center at San Antonio , TX , USA.
Andrew D Smitha Molecular and Computational Biology , Department of Biological Sciences, University of Southern California , CA , USA.
Luiz O F Penalvab Department of Cellular and Structural Biology , University of Texas Health Science Center at San Antonio , TX , USA.
University of Southern California · USChildren's Cancer Center · USThe University of Texas Health Science Center at San Antonio · USNew York University · US

Funding

Computational Methods for Deep Sequencing Based RBP Binding Motif CharacterizatioR01HG006015 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENALVA, LUIZ OTAVIO, SMITH, ANDREW DAVID · 2011 to 2017
$2.6M
Robust statistical approaches for decoding protein and mRNA expression regulationR01GM113237 · NIGMS · NEW YORK UNIVERSITY · PI VOGEL, CHRISTINE · 2014 to 2017
$1.5M
NHGRI NIH HHS R01HG006015NIGMS NIH HHS 5R01GM113237NIGMS NIH HHS R01 GM113237
6 · The paper itself

Abstract

hnRNPs are polyvalent RNA binding proteins that have been implicated in a range of regulatory roles including splicing, mRNA decay, translation, and miRNA metabolism. A variety of genome wide studies have taken advantage of methods like CLIP and RIP to identify the targets and binding sites of RNA binding proteins. However, due to the complex nature of RNA-binding proteins, these studies are incomplete without assays that characterize the impact of RBP binding on mRNA target expression. Here we used a suite of high-throughput approaches (RIP-Seq, iCLIP, RNA-Seq and shotgun proteomics) to provide a comprehensive view of hnRNP H1s ensemble of targets and its role in splicing, mRNA decay, and translation. The combination of RIP-Seq and iCLIP allowed us to identify a set of 1,086 high confidence target transcripts. Binding site motif analysis of these targets suggests the TGGG tetramer as a prevalent component of hnRNP H1 binding motif, with particular enrichment around intronic hnRNP H1 sites. Our analysis of the target transcripts and binding sites indicates that hnRNP H1s involvement in splicing is 2-fold: it directly affects a substantial number of splicing events, but also regulates the expression of major components of the splicing machinery and other RBPs with known roles in splicing regulation. The identified mRNA targets displayed function enrichment in MAPK signaling and ubiquitin mediated proteolysis, which might be main routes by which hnRNP H1 promotes tumorigenesis.

Indexed as

High-Throughput Nucleotide SequencingBinding SitesHeLa CellsHeterogeneous-Nuclear Ribonucleoprotein Group F-HHumansRNA SplicingHeterogeneous-Nuclear Ribonucleoprotein Group F-HhnRNP H1iCLIPIntegrated analysisProteomicsRIP-seqRNA-binding proteinsRNA-seq

Identifiers

PMID26760575
PMCPMC4841607
OpenAlexW2259181648

What OpenQuestion holds

Textmetadata
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.