Evidence map›Paper›PMID 34201234›Full record

ArticleProteomes2021

Advanced Fiber Type-Specific Protein Profiles Derived from Adult Murine Skeletal Muscle.

Britta Eggers, Karin Schork, Michael Turewicz, Katalin Barkovits, Martin Eisenacher, Rolf Schröder, Christoph S Clemen, Katrin Marcus

Open access · goldAbstract read
In one paragraph

Article in Proteomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

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  16. Review
  17. Identification of Subproteomic Markers for Skeletal Muscle Profiling.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  18. Comparative 3-Sample 2D-DIGE Analysis of Skeletal Muscles.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  19. Review
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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

8 authors at 3 institutions in 1 country.

Britta EggersMedizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, 44801 Bochum, Germany.ORCID 0000-0002-6553-4631
Karin SchorkMedizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, 44801 Bochum, Germany.
Michael TurewiczMedizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, 44801 Bochum, Germany.ORCID 0000-0003-0737-1114
Katalin BarkovitsMedizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, 44801 Bochum, Germany.ORCID 0000-0003-2554-8796
Martin EisenacherMedizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, 44801 Bochum, Germany.
Rolf SchröderInstitute of Neuropathology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, 91054 Erlangen, Germany.
Christoph S ClemenGerman Aerospace Center, Institute of Aerospace Medicine, 51147 Cologne, Germany.ORCID 0000-0002-1291-4219
Katrin MarcusMedizinisches Proteom-Center, Medical Faculty, Ruhr-University Bochum, 44801 Bochum, Germany.ORCID 0000-0002-3313-8845
Ruhr University Bochum · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversity of Cologne · DE

Funding

German Network for Bioinformatics Infrastructure FKZ 031 A 534A
6 · The paper itself

Abstract

Skeletal muscle is a heterogeneous tissue consisting of blood vessels, connective tissue, and muscle fibers. The last are highly adaptive and can change their molecular composition depending on external and internal factors, such as exercise, age, and disease. Thus, examination of the skeletal muscles at the fiber type level is essential to detect potential alterations. Therefore, we established a protocol in which myosin heavy chain isoform immunolabeled muscle fibers were laser microdissected and separately investigated by mass spectrometry to develop advanced proteomic profiles of all murine skeletal muscle fiber types. All data are available via ProteomeXchange with the identifier PXD025359. Our in-depth mass spectrometric analysis revealed unique fiber type protein profiles, confirming fiber type-specific metabolic properties and revealing a more versatile function of type IIx fibers. Furthermore, we found that multiple myopathy-associated proteins were enriched in type I and IIa fibers. To further optimize the assignment of fiber types based on the protein profile, we developed a hypothesis-free machine-learning approach, identified a discriminative peptide panel, and confirmed our panel using a public data set.

Indexed as

fiber typeslaser microdissectionneuromuscular disordersproteomicsskeletal muscle

Identifiers

PMID34201234
PMCPMC8293376
OpenAlexW3167180353

What OpenQuestion holds

Textmetadata
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.