Evidence map›Paper›PMID 30915105›Full record

ArticleFrontiers in genetics2019

Detection of Differentially Expressed Cleavage Site Intervals Within 3' Untranslated Regions Using CSI-UTR Reveals Regulated Interaction Motifs.

Benjamin J Harrison, Juw Won Park, Cynthia Gomes, Jeffrey C Petruska, Matthew R Sapio, Michael J Iadarola, Julia H Chariker, Eric C Rouchka

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Understanding small ORF diversity through a comprehensive transcription feature classification.DNA research : an international journal for rapid publication of reports on genes and genomes · 2021
    Review
  6. Article
  7. Genome-to-phenome research in rats: progress and perspectives.International journal of biological sciences · 2021
    Review
  8. Article
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 2 institutions in 1 country.

Benjamin J HarrisonDepartment of Biomedical Sciences, Center for Excellence in the Neurosciences, College of Osteopathic Medicine, University of New England, Biddeford, ME, United States.
Juw Won ParkKentucky Biomedical Research Infrastructure Network Bioinformatics Core, Louisville, KY, United States.
Cynthia GomesDepartment of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, United States.
Jeffrey C PetruskaDepartment of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, United States.
Matthew R SapioDepartment of Perioperative Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States.
Michael J IadarolaDepartment of Perioperative Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States.
Julia H CharikerDepartment of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, United States.
Eric C RouchkaKentucky Biomedical Research Infrastructure Network Bioinformatics Core, Louisville, KY, United States.
University of Louisville · USNational Institutes of Health Clinical Center · US

Funding

WKU Lead Faculty AwardP20GM103436 · NIGMS · UNIVERSITY OF LOUISVILLE · PI ERIC C ROUCHKA · 2012 to 2026
$60.1M
Tissue resident macrophages in sensory ganglia: function and impact on nociceptionP20GM103643 · NIGMS · UNIVERSITY OF NEW ENGLAND · PI MENG, IAN D · 2012 to 2021
$20.9M
Mechanisms of plasticity and repair after SCIP30GM103507 · NIGMS · UNIVERSITY OF LOUISVILLE · PI WHITTEMORE, SCOTT R · 2012 to 2015
$4.2M
Mechanisms controlling distinct modes of adult axon growthR01NS094741 · NINDS · UNIVERSITY OF LOUISVILLE · PI PETRUSKA, JEFFREY C · 2015 to 2019
$1.7M
The Pain Neural TranscriptomeZIACL090035 · CLC · CLINICAL CENTER · PI MANNES, ANDREW · 2014 to 2025
$0k
NIGMS NIH HHS P20 GM103436NIGMS NIH HHS P20 GM103643NIGMS NIH HHS P30 GM103507NINDS NIH HHS R01 NS094741
6 · The paper itself

Abstract

The length of untranslated regions at the 3' end of transcripts (3'UTRs) is regulated by alternate polyadenylation (APA). 3'UTRs contain regions that harbor binding motifs for regulatory molecules. However, the mechanisms that coordinate the 3'UTR length of specific groups of transcripts are not well-understood. We therefore developed a method, CSI-UTR, that models 3'UTR structure as tandem segments between functional alternative-polyadenylation sites (termed cleavage site intervals-CSIs). This approach facilitated (1) profiling of 3'UTR isoform expression changes and (2) statistical enrichment of putative regulatory motifs. CSI-UTR analysis is UTR-annotation independent and can interrogate legacy data generated from standard RNA-Seq libraries. CSI-UTR identified a set of CSIs in human and rodent transcriptomes. Analysis of RNA-Seq datasets from neural tissue identified differential expression events within 3'UTRs not detected by standard gene-based differential expression analyses. Further, in many instances 3'UTR and CDS from the same gene were regulated differently. This modulation of motifs for RNA-interacting molecules with potential condition-dependent and tissue-specific RNA binding partners near the polyA signal and CSI junction may play a mechanistic role in the specificity of alternative polyadenylation. Source code, CSI BED files and example datasets are available at: https://github.com/UofLBioinformatics/CSI-UTR.

Indexed as

3′UTRalternative polyadenylationpolyApolyadenylationRNA-SeqUTR

Identifiers

PMID30915105
PMCPMC6422928
OpenAlexW2921670241

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.