{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:59:45Z","timestamp":1780880385304,"version":"3.54.1"},"reference-count":65,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T00:00:00Z","timestamp":1776729600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T00:00:00Z","timestamp":1776729600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Immunology"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Cutaneous melanoma (CM) is an aggressive cancer where early intervention is crucial, but the prognostic role and mechanisms of ubiquitination\u2010related genes (URGs) in immune regulation remain unclear. This study aimed to develop a URG\u2010based prognostic signature and explore its relationship with immune modulation in CM. We integrated single\u2010cell RNA sequencing (scRNA\u2010seq) and bulk RNA\u2010seq data, identifying prognostic URGs through univariate and multivariate Cox regression. A six\u2010gene signature (UBE2L6, SPSB1, PSMB9, PSMB10, RNF213 and ATXN3) was established and validated. The signature effectively stratified patients into high\u2010 and low\u2010risk groups, with significant survival differences. Pathway analysis revealed immune\u2010related processes, such as \u2018cytokine\u2010cytokine receptor interaction\u2019 and \u2018antigen processing and presentation\u2019, enriched in the low\u2010risk group. Immune cell infiltration analysis demonstrated significant differences in the abundance of 12 immune cell types between risk groups. Notably, PSMB9 expression was positively correlated with CD8\n                    <jats:sup>+<\/jats:sup>\n                    T cell abundance (\n                    <jats:italic>r<\/jats:italic>\n                    \u2009=\u20090.64,\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.05). scRNA\u2010seq analysis highlighted T cells as a key cell type, with all six prognostic genes showing dynamic expression changes during T cell differentiation. Our findings suggest that URGs influence CM prognosis by modulating the immune microenvironment, offering new insights for immunotherapeutic strategies.\n                  <\/jats:p>","DOI":"10.1111\/imm.70139","type":"journal-article","created":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T12:44:41Z","timestamp":1776775481000},"page":"521-540","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Characterization of T\u2010Cell Ubiquitination in Melanoma and Development of a Risk Signature Using Single\u2010Cell and Bulk\n                    <scp>RNA<\/scp>\n                    \u2010Seq"],"prefix":"10.1111","volume":"178","author":[{"given":"Jianping","family":"Lu","sequence":"first","affiliation":[{"name":"Department of Pathology Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital  Fuzhou Fujian Province 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