Literature DB >> 32211148

High-throughput proteomics fiber typing (ProFiT) for comprehensive characterization of single skeletal muscle fibers.

Sebastian Kallabis1, Lena Abraham1, Stefan Müller1, Verena Dzialas1, Clara Türk1, Janica Lea Wiederstein1, Theresa Bock1, Hendrik Nolte2, Leonardo Nogara3, Bert Blaauw3, Thomas Braun4, Marcus Krüger1,5.   

Abstract

Background: Skeletal muscles are composed of a heterogeneous collection of fiber types with different physiological adaption in response to a stimulus and disease-related conditions. Each fiber has a specific molecular expression of myosin heavy chain molecules (MyHC). So far, MyHCs are currently the best marker proteins for characterization of individual fiber types, and several proteome profiling studies have helped to dissect the molecular signature of whole muscles and individual fibers.
Methods: Herein, we describe a mass spectrometric workflow to measure skeletal muscle fiber type-specific proteomes. To bypass the limited quantities of protein in single fibers, we developed a Proteomics high-throughput fiber typing (ProFiT) approach enabling profiling of MyHC in single fibers. Aliquots of protein extracts from separated muscle fibers were subjected to capillary LC-MS gradients to profile MyHC isoforms in a 96-well format. Muscle fibers with the same MyHC protein expression were pooled and subjected to proteomic, pulsed-SILAC, and phosphoproteomic analysis.
Results: Our fiber type-specific quantitative proteome analysis confirmed the distribution of fiber types in the soleus muscle, substantiates metabolic adaptions in oxidative and glycolytic fibers, and highlighted significant differences between the proteomes of type IIb fibers from different muscle groups, including a differential expression of desmin and actinin-3. A detailed map of the Lys-6 incorporation rates in muscle fibers showed an increased turnover of slow fibers compared to fast fibers. In addition, labeling of mitochondrial respiratory chain complexes revealed a broad range of Lys-6 incorporation rates, depending on the localization of the subunits within distinct complexes.
Conclusion: Overall, the ProFiT approach provides a versatile tool to rapidly characterize muscle fibers and obtain fiber-specific proteomes for different muscle groups.
© The Author(s) 2020.

Keywords:  Muscle fiber proteomics; MyHC profiling; Phosphoproteomics; Protein turnover

Year:  2020        PMID: 32211148      PMCID: PMC7087369          DOI: 10.1186/s13395-020-00226-5

Source DB:  PubMed          Journal:  Skelet Muscle        ISSN: 2044-5040            Impact factor:   4.912


  61 in total

1.  Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics.

Authors:  Juri Rappsilber; Yasushi Ishihama; Matthias Mann
Journal:  Anal Chem       Date:  2003-02-01       Impact factor: 6.986

2.  MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Nat Biotechnol       Date:  2008-11-30       Impact factor: 54.908

3.  Pre- and postnatal growth and protein turnover in four muscles of the rat.

Authors:  F J Kelly; S E Lewis; P Anderson; D F Goldspink
Journal:  Muscle Nerve       Date:  1984 Mar-Apr       Impact factor: 3.217

Review 4.  Skeletal muscle: a brief review of structure and function.

Authors:  Walter R Frontera; Julien Ochala
Journal:  Calcif Tissue Int       Date:  2014-10-08       Impact factor: 4.333

5.  Single Muscle Fiber Proteomics Reveals Distinct Protein Changes in Slow and Fast Fibers during Muscle Atrophy.

Authors:  Franziska Lang; Solmaz Khaghani; Clara Türk; Janica Lea Wiederstein; Soraya Hölper; Tanja Piller; Leonardo Nogara; Bert Blaauw; Stefan Günther; Stefan Müller; Thomas Braun; Marcus Krüger
Journal:  J Proteome Res       Date:  2018-09-05       Impact factor: 4.466

Review 6.  Titin: properties and family relationships.

Authors:  Larissa Tskhovrebova; John Trinick
Journal:  Nat Rev Mol Cell Biol       Date:  2003-09       Impact factor: 94.444

7.  Isolation, Culture, and Staining of Single Myofibers.

Authors:  Yann Simon Gallot; Sajedah M Hindi; Aman K Mann; Ashok Kumar
Journal:  Bio Protoc       Date:  2016-10-05

8.  TMEM65 is a mitochondrial inner-membrane protein.

Authors:  Naotaka Nishimura; Tomomi Gotoh; Yuichi Oike; Masato Yano
Journal:  PeerJ       Date:  2014-04-10       Impact factor: 2.984

9.  Ultrasensitive proteome analysis using paramagnetic bead technology.

Authors:  Christopher S Hughes; Sophia Foehr; David A Garfield; Eileen E Furlong; Lars M Steinmetz; Jeroen Krijgsveld
Journal:  Mol Syst Biol       Date:  2014-10-30       Impact factor: 11.429

10.  A simplified immunohistochemical classification of skeletal muscle fibres in mouse.

Authors:  M Kammoun; I Cassar-Malek; B Meunier; B Picard
Journal:  Eur J Histochem       Date:  2014-06-24       Impact factor: 3.188

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