ABSTRACT
Introduction
Skeletal muscles contain large numbers of high-molecular-mass protein complexes in elaborate membrane systems. Integral membrane proteins are involved in diverse cellular functions including the regulation of ion handling, membrane homeostasis, energy metabolism and force transmission.
Areas covered
The proteomic profiling of membrane proteins and large protein assemblies in skeletal muscles are outlined in this article. This includes a critical overview of the main biochemical separation techniques and the mass spectrometric approaches taken to study membrane proteins. As an illustrative example of an analytically challenging large protein complex, the proteomic detection and characterization of the Ca2+-ATPase of the sarcoplasmic reticulum is discussed. The biological role of this large protein complex during normal muscle functioning, in the context of fiber type diversity and in relation to mechanisms of physiological adaptations and pathophysiological abnormalities is evaluated from a proteomics perspective.
Expert opinion
Mass spectrometry-based muscle proteomics has decisively advanced the field of basic and applied myology. Although it is technically challenging to study membrane proteins, innovations in protein separation methodology in combination with sensitive mass spectrometry and improved systems bioinformatics has allowed the detailed proteomic detection and characterization of skeletal muscle membrane protein complexes, such as Ca2+-pump proteins of the sarcoplasmic reticulum.
Article highlights
Comparative proteomics has been helpful to establish abundance changes of SERCA-type Ca2+-ATPases in various diseases, such as cancer cachexia, myotonia, motor neuron disease and muscular dystrophy
Sarcoplasmic reticulum Ca2+-ATPases are responsible for the swift re-uptake of Ca2+-ions during skeletal muscle relaxation
The SERCA1 and SERCA2 isoforms of the sarcoplasmic reticulum Ca2+-ATPases are expressed in a fiber type specific way in skeletal muscle
Mass spectrometry-based proteomics has been instrumental in the detection and characterization of SERCA isoforms
Single cell proteomics has been used to study SERCA expression patterns in fast versus slow muscle fiber populations
Declaration of interests
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
Reviewer disclosures
Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.