Evidence map›Paper›PMID 35301320›Full record

ArticleNature communications2022

Primary cilia on muscle stem cells are critical to maintain regenerative capacity and are lost during aging.

Adelaida R Palla, Keren I Hilgendorf, Ann V Yang, Jaclyn P Kerr, Aaron C Hinken, Janos Demeter, Peggy Kraft, Nancie A Mooney, Nora Yucel, David M Burns and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

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  9. The dynamics of centromere assembly and disassembly during quiescence.bioRxiv : the preprint server for biology · 2025
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  17. Ablation of satellite cell-specific clock gene, Bmal1, alters force production, muscle damage, and repair following contractile-induced injury.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
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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

13 authors.

Adelaida R Palla *Blau Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA.ORCID http://orcid.org/0000-0003-2695-9335
Keren I Hilgendorf *Jackson Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA.ORCID http://orcid.org/0000-0001-8377-8384
Ann V YangBlau Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA.
Jaclyn P KerrGlaxoSmithKline Research and Development, Muscle Metabolism Discovery Performance Unit, 1250S. Collegeville Rd., Collegeville, PA, 19426, USA.
Aaron C HinkenGlaxoSmithKline Research and Development, Muscle Metabolism Discovery Performance Unit, 1250S. Collegeville Rd., Collegeville, PA, 19426, USA.
Janos DemeterJackson Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA.ORCID http://orcid.org/0000-0002-7301-8055
Peggy KraftBlau Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA.
Nancie A MooneyJackson Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA.
Nora YucelBlau Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA.
David M BurnsBlau Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA.
Yu Xin WangBlau Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA.
Peter K JacksonJackson Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA. pjackson@stanford.edu.ORCID http://orcid.org/0000-0002-1742-2539
Helen M BlauBlau Laboratory, Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, 94305-5175, USA. hblau@stanford.edu.ORCID http://orcid.org/0000-0001-6503-5480

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Stem Cells for Brain and BrawnR01AG020961 · NIA · STANFORD UNIVERSITY · PI BLAU, HELEN M · 2002 to 2019
$5.0M
Using Protein Interaction Networks and Combinatorial Screens to target KRAS driven cancerU01CA199216 · NCI · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C, JACKSON, PETER KENT · 2015 to 2019
$3.2M
Regulation of eicosanoid signaling lipids to improve skeletal muscle function and increase healthspan during agingR01AG069858 · NIA · STANFORD UNIVERSITY · PI BLAU, HELEN M · 2020 to 2023
$2.4M
Learning Regulatory Drivers of Chromatin and Expression Dynamics during Nuclear ReprogrammingR01HG009674 · NHGRI · STANFORD UNIVERSITY · PI BLAU, HELEN M, KUNDAJE, ANSHUL · 2017 to 2019
$2.1M
Centriolar-ciliary signaling mechanisms in tissue regeneration and differentiationR01GM114276 · NIGMS · STANFORD UNIVERSITY · PI JACKSON, PETER KENT · 2015 to 2018
$1.5M
Spatial Regulators of Skeletal Muscle Regeneration and DiseaseK99NS120278 · NINDS · STANFORD UNIVERSITY · PI WANG, YU XIN · 2020 to 2021
$177k
CIHR MFE-152457NCATS NIH HHS UL1 TR003142NCI NIH HHS U01 CA199216NHGRI NIH HHS R01 HG009674NIA NIH HHS R01 AG020961NIA NIH HHS R01 AG069858NIGMS NIH HHS R01 GM114276NINDS NIH HHS K99 NS120278
6 · The paper itself

Abstract

During aging, the regenerative capacity of muscle stem cells (MuSCs) decreases, diminishing the ability of muscle to repair following injury. We found that the ability of MuSCs to regenerate is regulated by the primary cilium, a cellular protrusion that serves as a sensitive sensory organelle. Abolishing MuSC cilia inhibited MuSC proliferation in vitro and severely impaired injury-induced muscle regeneration in vivo. In aged muscle, a cell intrinsic defect in MuSC ciliation was associated with the decrease in regenerative capacity. Exogenous activation of Hedgehog signaling, known to be localized in the primary cilium, promoted MuSC expansion, both in vitro and in vivo. Delivery of the small molecule Smoothened agonist (SAG1.3) to muscles of aged mice restored regenerative capacity leading to increased strength post-injury. These findings provide fresh insights into the signaling dysfunction in aged MuSCs and identify the ciliary Hedgehog signaling pathway as a potential therapeutic target to counter the loss of muscle regenerative capacity which accompanies aging.

Indexed as

CiliaMuscle, SkeletalAgingAnimalsHedgehog ProteinsMiceMyoblastsHedgehog Proteins

Identifiers

PMID35301320
PMCPMC8931095

What OpenQuestion holds

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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.