ArticleGenes2026
Integrated Bulk and Single-Cell Transcriptomic Analysis Identifies a Reproducible SASP-Related Three-Gene Panel and Prioritizes CFB as a Fibroblast-Associated Marker in Rheumatoid Arthritis.
Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
BACKGROUND/
objectivesRheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease in which senescence-associated secretory phenotype (SASP)-related transcriptional programs may contribute to synovial inflammation and fibroblast activation. This study aimed to integrate bulk transcriptomic cohorts with the gene-expression component of a single-nucleus multimodal dataset to identify reproducible SASP-related candidate biomarkers and prioritize fibroblast-associated signals in RA.
methodsSASP-score correlation analysis, differential expression analysis, cross-cohort evaluation, logistic regression, gene set enrichment analysis, single-nucleus transcriptomic characterization, predicted regulatory network analysis, and RT-qPCR assessment were performed. GSE89408 was used as the discovery bulk transcriptomic cohort, GSE77298 as the external evaluation cohort, and GSE243917 as the single-nucleus gene-expression dataset.
resultsFibroblasts showed relatively high SASP-related transcriptional scores within the RA single-nucleus dataset. The cross-cohort evaluation retained
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