Age- and Activity-Related Differences in the Abundance of Myosin Essential and Regulatory Light Chains in Human Muscle

Cobley, James N.; Malik, Zulezwan Ab; Morton, James P.; Close, Graeme L.; Edwards, Ben; Burniston, Jatin G.

doi:10.3390/proteomes4020015

Cited by 14 publications

(9 citation statements)

References 47 publications

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“…For hypothesis driven approaches, mass spectrometers can be programmed to detect specific precursor and daughter ions (i.e. selective reaction monitoring [104]) which can reduce analysis time and is compatible with quantification using stable isotopes [105], [106].…”

Section: Redox Analysis: a Hitch Hiker’s Guide To Assessing Oxidativementioning

confidence: 99%

Exercise redox biochemistry: Conceptual, methodological and technical recommendations

Cobley

Bailey

et al. 2017

Redox Biology

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Exercise redox biochemistry is of considerable interest owing to its translational value in health and disease. However, unaddressed conceptual, methodological and technical issues complicate attempts to unravel how exercise alters redox homeostasis in health and disease. Conceptual issues relate to misunderstandings that arise when the chemical heterogeneity of redox biology is disregarded: which often complicates attempts to use redox-active compounds and assess redox signalling. Further, that oxidised macromolecule adduct levels reflect formation and repair is seldom considered. Methodological and technical issues relate to the use of out-dated assays and/or inappropriate sample preparation techniques that confound biochemical redox analysis. After considering each of the aforementioned issues, we outline how each issue can be resolved and provide a unifying set of recommendations. We specifically recommend that investigators: consider chemical heterogeneity, use redox-active compounds judiciously, abandon flawed assays, carefully prepare samples and assay buffers, consider repair/metabolism, use multiple biomarkers to assess oxidative damage and redox signalling.

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Section: Redox Analysis: a Hitch Hiker’s Guide To Assessing Oxidativementioning

confidence: 99%

Exercise redox biochemistry: Conceptual, methodological and technical recommendations

Cobley

Bailey

et al. 2017

Redox Biology

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“…Fiber-type specific responses to exercise have very recently been reported [63], and aging is known associated with changes to muscle fiber proteomes [64]. Proteomic studies have provided insight to the interaction between training status and aging on the skeletal muscle proteome [65] and suggest some features associated with older age may be due to lower levels of physical activity rather than aging per se. New methods for the enrichment of key post-translational modifications have been successfully exploited to discover exercise responsive sites.…”

Section: Discussionmentioning

confidence: 99%

The application of proteomics in muscle exercise physiology

Hesketh

Stansfield

Stead

et al. 2020

Expert Review of Proteomics

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Introduction: Exercise offers protection from non-communicable diseases and extends healthspan by offsetting natural physiological declines that occur in older age. Striated muscle is the largest bodily organ; it underpins the capacity for physical work, and the responses of muscle to exercise convey the health benefits of a physically active lifestyle. Proteomic surveys of muscle provide a means to study the protective effects of exercise and this review summaries some key findings from literature listed in PubMed during the last 10 years that have led to new insight in muscle exercise physiology. Areas covered: 'Bottom-up' analyses involving liquid-chromatography tandem mass spectrometry (LC-MS/MS) of peptide digests have become the mainstay of proteomic studies and have been applied to muscle mitochondrial fractions. Enrichment techniques for post-translational modifications, including phosphorylation, acetylation and ubiquitination, have evolved and the analysis of site-specific modifications has become a major area of interest in exercise proteomics. Finally, we consider emergent techniques for dynamic analysis of muscle proteomes that offer new insight to protein turnover and the contributions of synthesis and degradation to changes in protein abundance in response to exercise training. Expert opinion: Burgeoning methods for dynamic proteome profiling offer new opportunities to study the mechanisms of muscle adaptation.

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“…x x MYL1 encodes the myosin light chain 1 expressed in fast-twitch skeletal muscle fibers (Stuart et al, 2016). Human ageing is associated with lower MYL1 content and higher MYL3 content (Cobley et al, 2016).…”

Section: Mrpl18mentioning

confidence: 99%

Gene co-expression analyses of health(span) across multiple species

Möller

Saul²,

Barrantes

et al. 2021

Preprint

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Health(span)-related gene clusters/modules were recently identified based on knowledge about the cross-species genetic basis of health, to interpret transcriptomic datasets describing health-related interventions. However, the cross-species comparison of health-related observations reveals a lot of heterogeneity, not least due to widely varying health(span) definitions and study designs, posing a challenge for the exploration of conserved healthspan modules and, specifically, their transfer across species. To improve the identification and exploration of conserved/transferable healthspan modules, here we apply an established workflow based on gene co-expression network analyses employing GEO/ArrayExpress data for human and animal models, and perform a comprehensive meta-analysis of the resulting modules related to health(span), yielding a small set of health(span) candidate genes, backed by the literature. For each experiment, WGCNA (weighted gene correlation network analysis) was thus used to infer modules of genes which correlate in their expression with a "health phenotype score" and to determine the most-connected (hub) genes for each such module, and their interactions. After mapping these hub genes to their human orthologs, 12 health(span) genes were identified in at least two species (ACTN3, ANK1, MRPL18, MYL1, PAXIP1, PPP1CA, SCN3B, SDCBP, SKIV2L, TUBG1, TYROBP, WIPF1), for which enrichment analysis by g:profiler finds an association with actin filament-based movement and associated organelles as well as muscular structures. We conclude that a meta-study of hub genes from co-expression network analyses for the complex phenotype health(span), across multiple species, can yield molecular-mechanistic insights and can direct experimentalists to further investigate the contribution of individual genes and their interactions to health(span).

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Age- and Activity-Related Differences in the Abundance of Myosin Essential and Regulatory Light Chains in Human Muscle

Cited by 14 publications

References 47 publications

Exercise redox biochemistry: Conceptual, methodological and technical recommendations

Exercise redox biochemistry: Conceptual, methodological and technical recommendations

The application of proteomics in muscle exercise physiology

Gene co-expression analyses of health(span) across multiple species

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