ArticleiMetaOmics2026
Gene expression signatures from single-cell transcriptomics predict Sjögren's syndrome.
Article in iMetaOmics, 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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21 authors.
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Abstract
Sjögren's syndrome (SjS) is a systemic autoimmune disorder characterized by lymphocytic infiltration of exocrine glands, leading to dry eyes and mouth. While previous genome-wide association studies (GWAS) and transcriptomic analyses have identified genes associated with SjS, predictive models based on single-cell resolution are limited. In this study, single-cell RNA sequencing (scRNA-seq) data from peripheral blood mononuclear cells (PBMCs) of SjS patients were analyzed to map immune cell alterations linked to the disease. Compared with healthy controls, SjS patients displayed decreased proportions of naïve
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