Single-cell transcriptional landscape of peripheral myeloid cells in autoimmune diseases
Frank Qingyun Wang, Xiao Dang, Caicai Zhang, Huidong Su, Yao Lei, Xinxin Chen, Jing Yang, Wanling Yang
TL;DR
This study maps myeloid cell types in autoimmune diseases using single-cell RNA sequencing, revealing distinct subsets and potential drug targets.
Contribution
The study identifies 13 myeloid subsets and 8 monocyte states, linking them to autoimmune disease mechanisms and drug repurposing opportunities.
Findings
13 distinct myeloid cell subsets with unique immunological profiles were identified.
Eight co-expression modules crucial for monocyte function were found to be dysregulated in autoimmune conditions.
Myeloid subsets were linked to genetic risk factors, showing enrichment in autoimmune disease heritability.
Abstract
Myeloid cells are pivotal in autoimmune disorder development due to their varied immune response functions yet understanding them at the single-cell level in such conditions is limited. To address this gap, we analyzed 351,905 myeloid cells from 375 single-cell RNA sequencing samples covering 14 autoimmune diseases, which allowed us to classify myeloid cells into 13 distinct subsets with unique immunological profiles. Through pseudotime analysis, we identified a branching process leading to two intermediary inflammatory subtypes and observed dysregulation in eight co-expression modules crucial for monocyte function across autoimmune conditions. Notably, a module linked to myeloid cell activation was consistently upregulated in autoimmune disorders. This insight led us to identify potential drug targets for therapeutic repurposing within the dysregulated modules. By incorporating genetic…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsImmune cells in cancer · IL-33, ST2, and ILC Pathways · Immune Cell Function and Interaction