Evidence map›Paper›PMID 28119336›Full record

ArticleGenome research2017

Large-scale analysis of branchpoint usage across species and cell lines.

Allison J Taggart, Chien-Ling Lin, Barsha Shrestha, Claire Heintzelman, Seongwon Kim, William G Fairbrother

Abstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing 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

85 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Cancer-associated SF3B1 mutation K700E causes widespread changes in U2/branchpoint recognition without altering splicing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Formation of Circular RNAs.Advances in experimental medicine and biology · 2025
    Review
  12. Article
  13. Review
  14. Etiology of craniofacial and cardiac malformations in a mouse model ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

25 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

6 authors.

Allison J TaggartDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, USA.
Chien-Ling LinDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, USA.
Barsha ShresthaDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, USA.
Claire HeintzelmanDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, USA.
Seongwon KimDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, USA.
William G FairbrotherDepartment of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, USA.

Funding

UTERINE NK CELL HOMING FROM THE PERIPHERAL CIRCULATIONP20RR018728 · NCRR · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI BLISS, JOSEPH MARK · 2003 to 2011
$16.7M
TRAINING IN MOLECULAR &CELL BIOLOGY &BIOCHEMISTRYT32GM007601 · NIGMS · BROWN UNIVERSITY · PI MOWRY, KIMBERLY L. · 1985 to 2019
$6.4M
Center for Cancer Signaling NetworksP30GM103410 · NIGMS · BROWN UNIVERSITY · PI ATWOOD, WALTER J · 2012 to 2015
$4.3M
A genomic approach to studying the life cycle of intron lariatsR01GM105681 · NIGMS · BROWN UNIVERSITY · PI FAIRBROTHER, WILLIAM G · 2014 to 2022
$3.7M
CENTER FOR CANCER SIGNALING NETWORKSP30RR031153 · NCRR · BROWN UNIVERSITY · PI ATWOOD, WALTER J · 2011 to 2011
$1.1M
Developing in vitro high throughput splicing assaysR21HG007905 · NHGRI · BROWN UNIVERSITY · PI FAIRBROTHER, WILLIAM G · 2014 to 2015
$437k
NCRR NIH HHS P20 RR018728NCRR NIH HHS P30 RR031153NHGRI NIH HHS R21 HG007905NIGMS NIH HHS P30 GM103410NIGMS NIH HHS R01 GM105681NIGMS NIH HHS T32 GM007601
6 · The paper itself

Abstract

The coding sequence of each human pre-mRNA is interrupted, on average, by 11 introns that must be spliced out for proper gene expression. Each intron contains three obligate signals: a 5' splice site, a branch site, and a 3' splice site. Splice site usage has been mapped exhaustively across different species, cell types, and cellular states. In contrast, only a small fraction of branch sites have been identified even once. The few reported annotations of branch site are imprecise as reverse transcriptase skips several nucleotides while traversing a 2-5 linkage. Here, we report large-scale mapping of the branchpoints from deep sequencing data in three different species and in the SF3B1 K700E oncogenic mutant background. We have developed a novel method whereby raw lariat reads are refined by U2snRNP/pre-mRNA base-pairing models to return the largest current data set of branchpoint sequences with quality metrics. This analysis discovers novel modes of U2snRNA:pre-mRNA base-pairing conserved in yeast and provides insight into the biogenesis of intron circles. Finally, matching branch site usage with isoform selection across the extensive panel of ENCODE RNA-seq data sets offers insight into the mechanisms by which branchpoint usage drives alternative splicing.

Indexed as

Evolution, MolecularRNA Splice SitesRNA SplicingAlgorithmsAnimalsBase PairingHumansMiceMutation, MissenseRNA, MessengerRNA Splicing FactorsSaccharomyces cerevisiaeSequence AlignmentSequence Analysis, RNARNA, MessengerRNA Splice SitesRNA Splicing Factors

Identifiers

PMID28119336
PMCPMC5378181

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.