Evidence map›Paper›PMID 22210690›Full record

ArticleMolecular & cellular proteomics : MCP2012

On marathons and Sprints: an integrated quantitative proteomics and transcriptomics analysis of differences between slow and fast muscle fibers.

Hannes C A Drexler, Aaron Ruhs, Anne Konzer, Luca Mendler, Mark Bruckskotten, Mario Looso, Stefan Günther, Thomas Boettger, Marcus Krüger, Thomas Braun

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

49 citing papers in PubMed, 95 citations in OpenAlex.

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  12. Relationship between gene expression networks and muscle contractile physiology differences in Anolis lizards.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2022
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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

10 authors at 3 institutions in 2 countries.

Hannes C A DrexlerMax Planck Institute for Molecular Biomedicine, Röntgenstr 20, D-48149 Münster, Germany.
Aaron Ruhs
Anne Konzer
Luca Mendler
Mark Bruckskotten
Mario Looso
Stefan Günther
Thomas Boettger
Marcus Krüger
Thomas Braun
Max Planck Institute for Heart and Lung Research · DEInstitute of Biochemistry · HUMax Planck Institute for Molecular Biomedicine · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle tissue contains slow as well as fast twitch muscle fibers that possess different metabolic and contractile properties. Although the distribution of individual proteins in fast and slow fibers has been investigated extensively, a comprehensive proteomic analysis, which is key for any systems biology approach to muscle tissues, is missing. Here, we compared the global protein levels and gene expression profiles of the predominantly slow soleus and fast extensor digitorum longus muscles using the principle of in vivo stable isotope labeling with amino acids based on a fully lysine-6 labeled SILAC-mouse. We identified 551 proteins with significant quantitative differences between slow soleus and fast extensor digitorum longus fibers out of >2000 quantified proteins, which greatly extends the repertoire of proteins differentially regulated between both muscle types. Most of the differentially regulated proteins mediate cellular contraction, ion homeostasis, glycolysis, and oxidation, which reflect the major functional differences between both muscle types. Comparison of proteomics and transcriptomics data uncovered the existence of fiber-type specific posttranscriptional regulatory mechanisms resulting in differential accumulation of Myosin-8 and α-protein kinase 3 proteins and mRNAs among others. Phosphoproteome analysis of soleus and extensor digitorum longus muscles identified 2573 phosphosites on 973 proteins including 1040 novel phosphosites. The in vivo stable isotope labeling with amino acids-mouse approach used in our study provides a comprehensive view into the protein networks that direct fiber-type specific functions and allows a detailed dissection of the molecular composition of slow and fast muscle tissues with unprecedented resolution.

Indexed as

TranscriptomeAmino Acid SequenceAnimalsGene Expression ProfilingGene Expression RegulationMiceMice, Inbred C57BLMolecular Sequence DataMolecular WeightMuscle Fibers, Fast-TwitchMuscle Fibers, Slow-TwitchMuscle ProteinsOligonucleotide Array Sequence AnalysisPeptide FragmentsPhosphorylationProtein Processing, Post-TranslationalAtp2a1 protein, mouseAtp2a2 protein, mouseMuscle ProteinsPeptide FragmentsProteomeSarcoplasmic Reticulum Calcium-Transporting ATPases

Identifiers

PMID22210690
PMCPMC3433927
OpenAlexW2171068457

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.