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DOI 10.1021/acs.jproteome.5c00140

Медицинская библиотека · Journal of proteome research · 2025

Phosphoproteomics Modifications in Women with Rheumatoid Arthritis─Application of Web-Based Software to Enhance Data Visualization.

Kim Grace, Bareja Akshay, Orenduff Melissa, Andonian Brian J, Soderblom Erik, Link Grace M, White James P, Many Gina M, Huffman Kim M

СтатьяПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

Individuals with rheumatoid arthritis (RA) are at increased risk of functional disability, cardiovascular disease, and obesity, all of which are influenced by dysregulated skeletal muscle. This pilot study aims to identify phosphoproteomics changes in RA skeletal muscle and visualize modifications through development of a web-based app designed to promote user-friendly data interpretation and visualization. NanoLC-MS/MS analysis was performed on vastus lateralis biopsies from three women with RA and matched healthy controls. Differential analysis was performed using the Limma R package. Kinase substrate enrichment analysis (KSEA) predicted changes in kinase activity. RA muscle displayed 35 upregulated and 60 downregulated phosphosites, including the cytoskeletal proteins TTN (Ser33201, Ser33013, Ser20925), NEB (Ser2219, Thr254, Ser33013, Ser20925), FLNA (Ser1459), and LASP1 (Ser146). Compared to healthy controls, KSEA predicted decreased activity of several kinases in RA muscle, including PRKACA and CDKs. All such changes were visualized by use of our web-based app. Overall, phosphoproteome analysis reveals signaling alterations in RA skeletal muscle linked to cytoskeletal proteins, representing candidate disease biomarkers; these modifications can be explored through use of our web-based software.

Для цитирования: Kim Grace, Bareja Akshay, Orenduff Melissa, Andonian Brian J, Soderblom Erik, Link Grace M, White James P, Many Gina M, Huffman Kim M. Phosphoproteomics Modifications in Women with Rheumatoid Arthritis─Application of Web-Based Software to Enhance Data Visualization.. Journal of proteome research. 2025. DOI: 10.1021/acs.jproteome.5c00140.

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