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Previously, we used scRNA-Seq to characterize the cutaneous immune response in the EM lesion, focusing on B cells. Here, with an expanded sample size, we profiled T cell responses in EM lesions compared to autologous uninvolved skin. In addition to CD4\n                    <jats:sup>+<\/jats:sup>\n                    T cell subsets known to be abundant in the EM lesion, we identified clonally expanded CD8\n                    <jats:sup>+<\/jats:sup>\n                    GZMK\n                    <jats:sup>+<\/jats:sup>\n                    IFNG\n                    <jats:sup>+<\/jats:sup>\n                    T cells that comprised cells with high or intermediate\n                    <jats:italic>IFNG<\/jats:italic>\n                    expression. These cells exhibited significant differential expression of IFN-regulated genes and included subsets with low cytotoxic gene expression, suggesting an inflammatory potential that may contribute to early defense against\n                    <jats:italic>Bb<\/jats:italic>\n                    within the EM lesion. In addition, we found that endothelial cells, fibroblasts, and pericytes were the main producers of key T cell\u2013recruiting chemokines. These studies using single-cell transcriptomics with adaptive immune receptor sequencing provide a comprehensive interrogation of the cutaneous T cell response to\n                    <jats:italic>Bb<\/jats:italic>\n                    infection and insight into the orchestration of the skin barrier defense to this vector-borne pathogen.\n                  <\/jats:p>","DOI":"10.1172\/jci.insight.196741","type":"journal-article","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T16:22:31Z","timestamp":1771863751000},"source":"Crossref","is-referenced-by-count":3,"title":["Single-cell immunophenotyping identifies CD8+GZMK+IFNG+ T cells as a key immune population in cutaneous Lyme disease"],"prefix":"10.1172","volume":"11","author":[{"given":"Edel","family":"Aron","sequence":"first","affiliation":[{"name":"Program in Computational Biology and Biomedical Informatics, Yale University, New Haven, Connecticut, 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