Evidence map›Paper›PMID 37745605›Full record

ArticlebioRxiv : the preprint server for biology2023

Global impact of aberrant splicing on human gene expression levels.

Benjamin Fair, Carlos Buen Abad Najar, Junxing Zhao, Stephanie Lozano, Austin Reilly, Gabriela Mossian, Jonathan P Staley, Jingxin Wang, Yang I Li

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Benjamin FairSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
Carlos Buen Abad NajarSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
Junxing ZhaoDepartment of Medicinal Chemistry, University of Kansas, Lawrence, KS 66047, USA.
Stephanie LozanoSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
Austin ReillySection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
Gabriela MossianSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
Jonathan P StaleyDepartment of Molecular Genetics and Cell Biology, University of Chicago, Chicago, IL 60637, USA.
Jingxin WangDepartment of Medicinal Chemistry, University of Kansas, Lawrence, KS 66047, USA.
Yang I LiSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
University of Chicago · USUniversity of Kansas · US

Funding

Novel methods to detect and interpret splicing quantitative trait loci - RenewalR01HG011067 · NHGRI · UNIVERSITY OF CHICAGO · PI Yang Li, JONATHAN P STALEY · 2020 to 2026
$4.2M
Investigating the co-transcriptional impact of genetic variation on gene regulation and diseaseR01GM130738 · NIGMS · UNIVERSITY OF CHICAGO · PI LI, YANG · 2019 to 2023
$2.2M
Modulating gene expression by RNA-targeting chimerasR35GM147498 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI Jingxin Wang · 2022 to 2026
$2.1M
NHGRI NIH HHS R01 HG011067NIGMS NIH HHS R01 GM130738NIGMS NIH HHS R35 GM147498
6 · The paper itself

Abstract

Alternative splicing (AS) is pervasive in human genes, yet the specific function of most AS events remains unknown. It is widely assumed that the primary function of AS is to diversify the proteome, however AS can also influence gene expression levels by producing transcripts rapidly degraded by nonsense-mediated decay (NMD). Currently, there are no precise estimates for how often the coupling of AS and NMD (AS-NMD) impacts gene expression levels because rapidly degraded NMD transcripts are challenging to capture. To better understand the impact of AS on gene expression levels, we analyzed population-scale genomic data in lymphoblastoid cell lines across eight molecular assays that capture gene regulation before, during, and after transcription and cytoplasmic decay. Sequencing nascent mRNA transcripts revealed frequent aberrant splicing of human introns, which results in remarkably high levels of mRNA transcripts subject to NMD. We estimate that ~15% of all protein-coding transcripts are degraded by NMD, and this estimate increases to nearly half of all transcripts for lowly-expressed genes with many introns. Leveraging genetic variation across cell lines, we find that GWAS trait-associated loci explained by AS are similarly likely to associate with NMD-induced expression level differences as with differences in protein isoform usage. Additionally, we used the splice-switching drug risdiplam to perturb AS at hundreds of genes, finding that ~3/4 of the splicing perturbations induce NMD. Thus, we conclude that AS-NMD substantially impacts the expression levels of most human genes. Our work further suggests that much of the molecular impact of AS is mediated by changes in protein expression levels rather than diversification of the proteome.

Identifiers

PMID37745605
PMCPMC10515962
OpenAlexW4386815758

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.