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Natl. Acad. Sci. U.S.A."],"published-print":{"date-parts":[[2025,10,7]]},"abstract":"<jats:p>Genetic association links disordered autoimmunity 1 (DIORA1) to numerous autoimmune rheumatic diseases, including systemic lupus erythematosus, Sj\u00f6gren\u2019s disease, rheumatoid arthritis, polymyositis, and systemic sclerosis. However, its cellular function has remained unknown. Here, we identify the Myotonic Dystrophy Kinase-Related Cdc42-Binding Kinases (MRCK kinases) family of serine\/threonine kinases\u2014key regulators of actomyosin contractility and cell motility\u2014as direct interactors of DIORA1. Through interaction mapping, we show that DIORA1 binds three distinct modules of MRCK kinases, including the conserved kinase inhibitory motif, C1-PH, and citron homology domains. DIORA1 knockdown in human cells altered cellular phosphorylation patterns and reduced phosphorylation of known MRCK targets. RNA-sequencing and proteomic analyses revealed upregulation of epithelial\u2013mesenchymal transition genes and proteins, and functional analyses confirmed increased cell invasion, following knockdown of DIORA1. Together, these findings identify the autoimmunity-associated DIORA1 protein as an interactor of MRCK kinases and a regulator of cell motility.<\/jats:p>","DOI":"10.1073\/pnas.2426917122","type":"journal-article","created":{"date-parts":[[2025,10,3]],"date-time":"2025-10-03T17:45:54Z","timestamp":1759513554000},"update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":0,"title":["Autoimmunity-associated DIORA1 binds the MRCK family of serine\/threonine kinases and controls cell motility"],"prefix":"10.1073","volume":"122","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-0316-8847","authenticated-orcid":false,"given":"Tilen","family":"Tr\u0161eli\u010d","sequence":"first","affiliation":[{"name":"Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital","place":["Stockholm, 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44-gene set constructed for predicting the prognosis of clear cell renal cell carcinoma","volume":"42","author":"Wang Y.","year":"2018","unstructured":"Y. Wang, Y. Wang, F. Liu, A 44-gene set constructed for predicting the prognosis of clear cell renal cell carcinoma. Int. J. Mol. Med. 42, 3105\u20133114 (2018).","journal-title":"Int. J. Mol. Med."},{"key":"e_1_3_4_41_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13046-022-02298-1"},{"key":"e_1_3_4_42_2","doi-asserted-by":"publisher","DOI":"10.3390\/cells12040534"},{"key":"e_1_3_4_43_2","unstructured":"T. Tr\u0161eli\u010d RNA-seq data for DIORA1 perturbation studies. Gene Expression Omnibus. https:\/\/www.ncbi.nlm.nih.gov\/geo\/query\/acc.cgi?acc=GSE299540. Deposited 11 June 2025."},{"key":"e_1_3_4_44_2","unstructured":"T. Tr\u0161eli\u010d Proteomic and phosphoproteomic data for DIORA1 perturbation studies. PRIDE Archive. https:\/\/www.ebi.ac.uk\/pride\/archive\/projects\/PXD064939. Deposited 12 June 2025."},{"key":"e_1_3_4_45_2","unstructured":"T. Tr\u0161eli\u010d AFsample protein models. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.16981365. 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