A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training

Michael D. Roberts; Bradley A. Ruple; Joshua S. Godwin; Mason C. McIntosh; Shao-Yung Chen; Nicholas J. Kontos; Anthony Agyin-Birikorang; Max Michel; Daniel L. Plotkin; Madison L. Mattingly; Brooks Mobley; Tim N. Ziegenfuss; Andrew D. Fruge; Andreas N. Kavazis

doi:doi:10.18632/aging.205751

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Research Paper Volume 16, Issue 8 pp 6631—6651

A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training

Figure 4. MyoF and non-MyoF proteins altered with resistance training in MA participants. Legend: Data presented for MA prior to and following eight weeks of knee extensor training include proteins in the MyoF fraction (11 up-regulated, 2 down-regulated; (A), the top 15 up-regulated proteins in the non-MyoF fraction (B), and all 8 down-regulated proteins in the non-MyoF fraction (C). Data are presented as mean ± standard deviations for individual protein spectra values (normalized to total run spectra values), and y-axes were scaled as log₁₀ for improved visualization. Notes: No biological processes were predicted to be affected with training based on these alterations.