Evidence map›Paper›PMID 26829591›Full record

ArticleeLife2016

A new view of transcriptome complexity and regulation through the lens of local splicing variations.

Jorge Vaquero-Garcia, Alejandro Barrera, Matthew R Gazzara, Juan González-Vallinas, Nicholas F Lahens, John B Hogenesch, Kristen W Lynch, Yoseph Barash

Open access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 307 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
307citing papers in PubMed, 3 pooled it
17.9field-weighted citation impact, top 1% 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

307 citing papers in PubMed, 3 syntheses or guidelines pooled it, 536 citations in OpenAlex.

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  19. TDP-43: [GU]-ardian of the transcriptome.Molecular neurodegeneration · 2026
    Review
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247 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

8 authors at 1 institution in 1 country.

Jorge Vaquero-GarciaDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Alejandro BarreraDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Matthew R GazzaraDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Juan González-VallinasDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Nicholas F LahensDepartment of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
John B HogeneschDepartment of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Kristen W LynchDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Yoseph BarashDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID http://orcid.org/0000-0003-3005-5048
University of Pennsylvania · US

Funding

Molecular, Cellular and Physiological Mechanisms of the Mammalian Circadian ClockR01NS054794 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI HOGENESCH, JOHN B, LIU, ANDREW C. · 2007 to 2022
$8.1M
Signal-Induced Regulation of Alternative RNA ProcessingR35GM118048 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI KRISTEN W LYNCH · 2016 to 2026
$6.6M
Mechanisms of Signal-Induced Alternative Splicing: CD45R01GM067719 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI LYNCH, KRISTEN W · 2003 to 2015
$3.8M
Modeling Splicing in normal tissues and neurodegenerative diseaseR01AG046544 · NIA · UNIVERSITY OF PENNSYLVANIA · PI BARASH, YOSEPH · 2014 to 2018
$1.6M
NIA NIH HHS AG046544NIA NIH HHS R01 AG046544NIGMS NIH HHS GM067719NIGMS NIH HHS R01 GM067719NIGMS NIH HHS R35 GM118048NINDS NIH HHS R01 NS054794
6 · The paper itself

Abstract

Alternative splicing (AS) can critically affect gene function and disease, yet mapping splicing variations remains a challenge. Here, we propose a new approach to define and quantify mRNA splicing in units of local splicing variations (LSVs). LSVs capture previously defined types of alternative splicing as well as more complex transcript variations. Building the first genome wide map of LSVs from twelve mouse tissues, we find complex LSVs constitute over 30% of tissue dependent transcript variations and affect specific protein families. We show the prevalence of complex LSVs is conserved in humans and identify hundreds of LSVs that are specific to brain subregions or altered in Alzheimer's patients. Amongst those are novel isoforms in the Camk2 family and a novel poison exon in Ptbp1, a key splice factor in neurogenesis. We anticipate the approach presented here will advance the ability to relate tissue-specific splice variation to genetic variation, phenotype, and disease.

Indexed as

Alternative SplicingGene Expression RegulationTranscriptomeAlzheimer DiseaseAnimalsHumansMicealternative splicingalzheimer's diseasecamk2chromosomescomputational biologygeneshumanmouseptb1statistical modelingsystems biologytranscriptomics

Identifiers

PMID26829591
PMCPMC4801060
OpenAlexW2255131131

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.