Evidence map›Paper›PMID 28542873›Full record

ArticleThe Journal of physiology2017

A map of the phosphoproteomic alterations that occur after a bout of maximal-intensity contractions.

Gregory K Potts, Rachel M McNally, Rocky Blanco, Jae-Sung You, Alexander S Hebert, Michael S Westphall, Joshua J Coon, Troy A Hornberger

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of physiology, 2017. 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 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Muscle Proteome Dynamics.Advances in experimental medicine and biology · 2025
    Review
  10. Muscle Plasticity, Adaptation and Epigenetics.Advances in experimental medicine and biology · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Gregory K PottsDepartment of Chemistry, University of Wisconsin - Madison, Madison, WI, USA.
Rachel M McNallyDepartment of Comparative Biosciences, University of Wisconsin - Madison, Madison, WI, USA.
Rocky BlancoDepartment of Comparative Biosciences, University of Wisconsin - Madison, Madison, WI, USA.
Jae-Sung YouDepartment of Comparative Biosciences, University of Wisconsin - Madison, Madison, WI, USA.
Alexander S HebertGenome Center of Wisconsin, University of Wisconsin - Madison, Madison, WI, USA.
Michael S WestphallGenome Center of Wisconsin, University of Wisconsin - Madison, Madison, WI, USA.
Joshua J CoonDepartment of Chemistry, University of Wisconsin - Madison, Madison, WI, USA.
Troy A HornbergerDepartment of Comparative Biosciences, University of Wisconsin - Madison, Madison, WI, USA.ORCID 0000-0002-2349-1899
University of Wisconsin–Madison · US

Funding

Structure, Function and Regulation of the ProteomeR35GM118110 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$9.1M
Mechanotransduction and the Regulation of Skeletal Muscle MassR01AR057347 · NIAMS · UNIVERSITY OF WISCONSIN-MADISON · PI HORNBERGER, TROY A · 2010 to 2019
$3.6M
Activated-Ion Negative Electron Transfer Dissociation For High-Throughput GlycoproteomicsR21GM118341 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2015 to 2016
$581k
Mechanotransduction and the Regulation of Skeletal Muscle MassR56AR057347 · NIAMS · UNIVERSITY OF WISCONSIN-MADISON · PI HORNBERGER, TROY A · 2022 to 2022
$270k
NIAMS NIH HHS R01 AR057347NIAMS NIH HHS R56 AR057347NIGMS NIH HHS R21 GM118341NIGMS NIH HHS R35 GM118110
6 · The paper itself

Abstract

key pointsMechanical signals play a critical role in the regulation of muscle mass, but the molecules that sense mechanical signals and convert this stimulus into the biochemical events that regulate muscle mass remain ill-defined. Here we report a mass spectrometry-based workflow to study the changes in protein phosphorylation that occur in mouse skeletal muscle 1 h after a bout of electrically evoked maximal-intensity contractions (MICs). Our dataset provides the first comprehensive map of the MIC-regulated phosphoproteome. Using unbiased bioinformatics approaches, we demonstrate that our dataset leads to the identification of many well-known MIC-regulated signalling pathways, as well as to a plethora of novel MIC-regulated events. We expect that our dataset will serve as a fundamentally important resource for muscle biologists, and help to lay the foundation for entirely new hypotheses in the field. ABSTRACT: The maintenance of skeletal muscle mass is essential for health and quality of life. It is well recognized that maximal-intensity contractions, such as those which occur during resistance exercise, promote an increase in muscle mass. Yet, the molecules that sense the mechanical information and convert it into the signalling events (e.g. phosphorylation) that drive the increase in muscle mass remain undefined. Here we describe a phosphoproteomics workflow to examine the effects of electrically evoked maximal-intensity contractions (MICs) on protein phosphorylation in mouse skeletal muscle. While a preliminary phosphoproteomics experiment successfully identified a number of MIC-regulated phosphorylation events, a large proportion of these identifications were present on highly abundant myofibrillar proteins. We subsequently incorporated a centrifugation-based fractionation step to deplete the highly abundant myofibrillar proteins and performed a second phosphoproteomics experiment. In total, we identified 5983 unique phosphorylation sites of which 663 were found to be regulated by MIC. GO term enrichment, phosphorylation motif analyses, and kinase-substrate predictions indicated that the MIC-regulated phosphorylation sites were chiefly modified by mTOR, as well as multiple isoforms of the MAPKs and CAMKs. Moreover, a high proportion of the regulated phosphorylation sites were found on proteins that are associated with the Z-disc, with over 74% of the Z-disc proteins experiencing robust changes in phosphorylation. Finally, our analyses revealed that the phosphorylation state of two Z-disc kinases (striated muscle-specific serine/threonine protein kinase and obscurin) was dramatically altered by MIC, and we propose ways these kinases could play a fundamental role in skeletal muscle mechanotransduction.

Indexed as

AnimalsElectric StimulationMaleMass SpectrometryMice, Inbred C57BLMuscle ContractionMuscle ProteinsMuscle, SkeletalPhosphorylationProteomicsMuscle Proteinsexercisehypertrophymechanotransductionphosphoproteomicsprotein synthesisskeletal muscle

Identifiers

PMID28542873
PMCPMC5538225
OpenAlexW2618770807

What OpenQuestion holds

Textmetadata
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.