Evidence map›Paper›PMID 36472367›Full record

ArticleeLife2022

Proteome-wide systems genetics identifies UFMylation as a regulator of skeletal muscle function.

Jeffrey Molendijk, Ronnie Blazev, Richard J Mills, Yaan-Kit Ng, Kevin I Watt, Daryn Chau, Paul Gregorevic, Peter J Crouch, James B W Hilton, Leszek Lisowski and 7 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

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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

17 authors at 5 institutions in 4 countries.

Jeffrey MolendijkDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.ORCID 0000-0001-6575-504X
Ronnie BlazevDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
Richard J MillsQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Yaan-Kit NgDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
Kevin I WattDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
Daryn ChauDepartment of Biological Chemistry and Center for Epigenetics and Metabolism, University of California, Irvine, Irvine, United States.
Paul GregorevicDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
Peter J CrouchDepartment of Biochemistry and Pharmacology, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-7777-4747
James B W HiltonDepartment of Biochemistry and Pharmacology, University of Melbourne, Melbourne, Australia.
Leszek LisowskiChildren's Medical Research Institute, University of Sydney, Sydney, Australia.
Peixiang ZhangDepartment of Human Genetics/Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States.
Karen ReueDepartment of Human Genetics/Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States.
Aldons J LusisDepartment of Human Genetics/Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States.
James E HudsonQIMR Berghofer Medical Research Institute, Brisbane, Australia.
David E JamesCharles Perkins Centre, School of Life and Environmental Science, School of Medical Science, University of Sydney, Sydney, Australia.ORCID 0000-0001-5946-5257
Marcus M SeldinDepartment of Biological Chemistry and Center for Epigenetics and Metabolism, University of California, Irvine, Irvine, United States.ORCID 0000-0001-8026-4759
Benjamin L ParkerDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.ORCID 0000-0003-1818-2183
The University of Melbourne · AUUniversity of California, Los Angeles · USQIMR Berghofer Medical Research Institute · AUThe University of Sydney · AUUniversity of California, Irvine · US

Funding

NIDDK Network Coordinating UnitU24DK097771 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Shuibing Chen, Jeffrey S. Grethe · 2013 to 2026
$20.9M
Pharmacogenomics of Statin TherapyP50GM115318 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAUSS, RONALD M, LUSIS, ALDONS JAKE · 2015 to 2019
$14.0M
Systems Genetics Dissection of Non-alcoholic SteatohepatitisR01DK117850 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Aldons Jake Lusis · 2019 to 2026
$4.6M
Integrative approaches to dissection of endocrine communicationDP1DK130640 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI SELDIN, MARCUS MICHAEL · 2021 to 2025
$3.2M
Systems genetics approach to inflammatory mechanisms in atherosclerosisR01HL147883 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 2019 to 2022
$3.0M
Systems-based approaches for investigating tissue communication during exerciseU01AG070959 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HEVENER, ANDREA L, LUSIS, ALDONS JAKE · 2020 to 2022
$1.2M
A strategy for discovery of endocrine interactionsR00HL138193 · NHLBI · UNIVERSITY OF CALIFORNIA-IRVINE · PI SELDIN, MARCUS MICHAEL · 2020 to 2022
$745k
Development of a strategy for endocrine axis discoveryK99HL138193 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SELDIN, MARCUS MICHAEL · 2018 to 2019
$268k
NHLBI NIH HHS K99 HL138193NHLBI NIH HHS R00 HL138193NHLBI NIH HHS R01 HL147883NIA NIH HHS U01 AG070959NIDDK NIH HHS DP1 DK130640NIDDK NIH HHS R01 DK117850NIDDK NIH HHS U24 DK097771NIGMS NIH HHS P50 GM115318
6 · The paper itself

Abstract

Improving muscle function has great potential to improve the quality of life. To identify novel regulators of skeletal muscle metabolism and function, we performed a proteomic analysis of gastrocnemius muscle from 73 genetically distinct inbred mouse strains, and integrated the data with previously acquired genomics and >300 molecular/phenotypic traits via quantitative trait loci mapping and correlation network analysis. These data identified thousands of associations between protein abundance and phenotypes and can be accessed online (https://muscle.coffeeprot.com/) to identify regulators of muscle function. We used this resource to prioritize targets for a functional genomic screen in human bioengineered skeletal muscle. This identified several negative regulators of muscle function including UFC1, an E2 ligase for protein UFMylation. We show UFMylation is up-regulated in a mouse model of amyotrophic lateral sclerosis, a disease that involves muscle atrophy. Furthermore, in vivo knockdown of UFMylation increased contraction force, implicating its role as a negative regulator of skeletal muscle function.

Indexed as

ProteomeProteomicsAnimalsHumansMiceMuscle, SkeletalPhenotypeQuality of LifeProteomecomputational biologyhumanmouseproteomicsskeletal musclesystems biologysystems geneticsUFMylation

Identifiers

PMID36472367
PMCPMC9833826
OpenAlexW4310778801

What OpenQuestion holds

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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.