bioRxivGeneticsPreprint
Transcriptional landscape of CD4+ T cells in Systemic Sclerosis
Gonzalo Villanueva-MartíniD, Gonzalo Borrego‐YaniziD, Marialbert Acosta‐HerreraiD, José Luís Callejas-RubioiD, Norberto Ortego, Norbert Mages, Stefan T. BoernoiD, María Gutiérrez‐ArcelusiD, Javier Martin, Lara Bossini‐CastilloiD
Abstract
ObjectiveThis resource deeply characterizes the CD4+ T cell subpopulations populations in SSc patients, with a novel single-cell RNA sequencing (scRNA-seq) approach, offering unprecedented insights into the cellular and molecular underpinnings of the disease. MethodsWe performed scRNA-seq to analyze over 80,000 CD4+ T cells from 8 SSc patients and 8 healthy controls, integrating abundance, transcriptional, and TCR repertoire analysis, to define CD4+ T cell subtype-specific signatures associated with SSc. ResultsSSc CD4+ T cells displayed a global interferon-driven activation signature and significantly reduced TNF signaling. Key transcriptomic alterations included the downregulation of SOX4 and CD83, alongside an expansion of Th2 and proinflammatory, steroid-resistant Th17 cells. Furthermore, Tregs exhibited a destabilized state characterized by high FCRL3 and reduced FOXP3 expression. Finally, TCR repertoire analysis identified increased clonal expansion specifically within the central memory (Tcm) compartment. ConclusionTogether, this data revealed SSc-associated cell population states in CD4+ T cells with unique transcriptomic signatures and provided a publicly accessible interactive platform to facilitate exploration of this dataset by the research community.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
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