Integrated fibre-specific methylome and proteome profiling of human skeletal muscle across males and females with fibre-type deconvolution.

Background: Skeletal muscle is an important organ for health and movement, largely driven by specific muscle fibres. However, the comparison of fibre-type-specific DNA methylation and protein abundance from the same sample presents challenges. By combining previous methodological approaches we were able to directly compare the methylome and proteome in Type I and Type II human skeletal muscle fibres in males and females.

Methods: We assessed the methylome using the EPICv2 Infinium array and the proteome using liquid chromatography tandem mass spectrometry (LC-MS/MS) from Type I and Type II fibre pools from both males ( $n=7$ ) and females ( $n=5$ ).

Results: We identified 5,689 robust differentially methylated regions (Fisher P-value $<0.001$ ) and found strong relationships between methylation and protein abundance in key contractile and metabolic genes. Further, we generated a reference matrix of Type I and Type II fibres and leveraged deconvolution algorithms to accurately estimate fibre-type proportions using whole-muscle DNA methylation data, providing a method to correct for fibre-type in future studies. These results are presented primarily as a resource for others to utilise.

Conclusion: We provide integrated methylome and proteome profiles of human muscle fibre-types generalisable to both male and females as a freely accessible interactive repository, MyoMETH ( https://myometh.net ), allowing further investigation into fibre regulation. Data are available via ProteomeXchange with identifier PXD066393 and the Gene Expression Omnibus at GSE304045 .