Evidence map›Paper›PMID 30272246›Full record

ArticleNucleic acids research2018

Mathematical modeling identifies potential gene structure determinants of co-transcriptional control of alternative pre-mRNA splicing.

Jeremy Davis-Turak, Tracy L Johnson, Alexander Hoffmann

Erratum issuedAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Predicting human mRNA isoform levels from site-specific splicing kineticsbioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jeremy Davis-TurakSan Diego Center for Systems Biology (SDCSB), University of California, San Diego, La Jolla, CA 92093, USA.
Tracy L JohnsonSan Diego Center for Systems Biology (SDCSB), University of California, San Diego, La Jolla, CA 92093, USA.
Alexander HoffmannSan Diego Center for Systems Biology (SDCSB), University of California, San Diego, La Jolla, CA 92093, USA.

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
"Ribonomics" of Gene Regulation to predict Innate Immune ResponsesU01HG007912 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BLACK, DOUGLAS L, HOFFMANN, ALEXANDER · 2015 to 2017
$5.8M
Eukaryotic RNA Processing and Chromatin ModificationR01GM085474 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOHNSON, TRACY L · 2010 to 2021
$2.6M
Epigenomic control of RNA splicingR01ES024995 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER, XING, YI · 2014 to 2015
$616k
NHGRI NIH HHS U01 HG007912NIEHS NIH HHS R01 ES024995NIGMS NIH HHS P50 GM085764NIGMS NIH HHS R01 GM085474
6 · The paper itself

Abstract

The spliceosome catalyzes the removal of introns from pre-messenger RNA (mRNA) and subsequent pairing of exons with remarkable fidelity. Some exons are known to be skipped or included in the mature mRNA in a cell type- or context-dependent manner (cassette exons), thereby contributing to the diversification of the human proteome. Interestingly, splicing is initiated (and sometimes completed) co-transcriptionally. Here, we develop a kinetic mathematical modeling framework to investigate alternative co-transcriptional splicing (CTS) and, specifically, the control of cassette exons' inclusion. We show that when splicing is co-transcriptional, default splice patterns of exon inclusion are more likely than when splicing is post-transcriptional, and that certain exons are more likely to be regulatable (i.e. cassette exons) than others, based on the exon-intron structure context. For such regulatable exons, transcriptional elongation rates may affect splicing outcomes. Within the CTS paradigm, we examine previously described hypotheses of co-operativity between splice sites of short introns (i.e. 'intron definition') or across short exons (i.e. 'exon definition'), and find that models encoding these faithfully recapitulate observations in the fly and human genomes, respectively.

Indexed as

Models, TheoreticalAlternative SplicingAnimalsBase SequenceChromosome StructuresComputational BiologyDrosophila melanogasterGene Regulatory NetworksGenesHumansMarkov ChainsRegulatory Sequences, Nucleic AcidRNA, MessengerRNA PrecursorsRNA Splice SitesRNA SplicingRNA, MessengerRNA PrecursorsRNA Splice Sites

Identifiers

PMID30272246
PMCPMC6237756

What OpenQuestion holds

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LicenceCC BY
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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.