Nature CommunicationsImmunologyPeer-reviewed journal article
Spatial Transcriptomics Identifies Immune-Stromal Niches Associated with Cancer in Adult Dermatomyositis
Ksenia S. AnufrievaiD, Neda ShahriariiD, Ce GaoiD, Stephanie Pei Tung YiuiD, Shideh Kazerounian, Rochelle L. Castillo, Jessica LiuiD, Sean A. Prell, Kartik Bhamidipati, Khashayar AfshariiD, Lindsay Parmelee, Anastasia N. KazakovaiD, Erin TheiseniD, Teresa Venezia BowmaniD, Avery LaChanceiD, William J. CrisleriD, Kimberly B. Hashemi, Ilya KorsunskyiD, Sizun JiangiD, Mehdi RashighiiD, Ruth Ann VleugelsiD, Kevin WeiiD
Abstract
Adult-onset dermatomyositis (DM) is an autoimmune inflammatory myopathy with distinct cutaneous manifestations and a strong malignancy association. Through comparative analysis with cutaneous lupus erythematosus (CLE), our integrated spatial and single-cell transcriptomics analysis revealed unique immune and stromal niches associated with DM subtypes. Unexpectedly, we found an association between cancer-associated DM skin lesions and the presence of dispersed immune infiltrates enriched with macrophages, CD8+ T cells, plasma cells, and B cells with preserved vascular architecture. In contrast, non-cancer associated DM skin exhibited dense myeloid cell infiltrates, including neutrophils, monocytes, and macrophages, with elevated expression of IL1B and CXCL10 localized near injured vascular endothelia. Cytokines produced by these myeloid infiltrates together with local tissue hypoxia triggered dramatic stromal remodeling, leading to loss of vascular-associated fibroblasts. In addition to the CXCL10+ myeloid signature, non-cancer-associated DM skin with pDC presence showed the emergence of specific cellular pairs: PD-L1-expressing mregDCs and activated Tregs expressing NFKB2 and TNF receptors. While both DM and CLE showed strong interferon signatures, DM uniquely displayed IFN-{beta} expression. Together, our study provides the first comprehensive spatial mapping of immune and stromal cells in adult-onset DM.
- organism: human
- assay: spatial transcriptomics
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: cell-cell communication
- approach: deep learning
- approach: statistical model
- Citations
- 3
- FWCI
- 13.99
- Field percentile
- top 2%
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