Evidence map›Paper›PMID 41488358›Full record

ArticleiScience2025

Splicing across adipocyte differentiation is highly dynamic and impacted by the metabolic phenotype.

Kathryn M Farris, Emil Andersen, Ida Donkin, Soetkin Versteyhe, Viggo B Kristiansen, Stephen J Simpson, Romain Barrès, Marcelo A Nobrega

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Kathryn M FarrisDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Emil AndersenNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, 2200 Copenhagen, Denmark.
Ida DonkinNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, 2200 Copenhagen, Denmark.
Soetkin VersteyheNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, 2200 Copenhagen, Denmark.
Viggo B KristiansenDepartment of Surgical Gastroenterology, Hvidovre Hospital, University of Copenhagen, Copenhagen, Denmark.
Stephen J SimpsonCharles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia.
Romain BarrèsNovo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, 2200 Copenhagen, Denmark.
Marcelo A NobregaDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI RONALD N COHEN · 2013 to 2026
$20.9M
PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
NIDDK NIH HHS P30 DK020595NIGMS NIH HHS T32 GM007197
6 · The paper itself

Abstract

A better understanding of gene regulation in metabolically unhealthy adipose tissue can provide insights into the mechanisms underlying adipose tissue dysfunction. We used RNA-seq data from a differentiation time course of lean individuals, individuals with obesity, and individuals with obesity and T2D to characterize alternative splicing in adipocyte function. Splicing was highly dynamic across adipocyte differentiation, and the dynamics of splicing were impacted by metabolic phenotype. There was little overlap between genes that were differentially spliced and those that were differentially expressed, positioning alternative splicing as an independent regulatory mechanism whose impact would be missed when looking at gene expression changes alone. We integrated our splicing results with GWAS for BMI and T2D, and found that T2D-associated variants were enriched in regions that were differentially spliced in early differentiation. These findings provide insight into the role of splicing in adipocyte differentiation and serve as a resource to guide variant-to-function studies.

Indexed as

Cell biologyHuman metabolismMolecular physiologyTranscriptomics

Identifiers

PMID41488358
PMCPMC12756580

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LicenceCC BY-NC-ND
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Registered trials

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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.