What question did this study set out to answer?

To delineate the molecular network of ribosome biogenesis-related genes in psoriasis, construct an accurate diagnostic model, and characterize their interactions with the immune microenvironment.

November 11, 2025Clinical and Experimental MedicineOpen Access

Single-cell multi-omics of ribosome biogenesis-related genes reveals immune microenvironment in psoriasis and constructs a diagnostic model

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Authors

YXYunpeng XuAnhui Medical University SLShengxiu LiuAnhui Medical University

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Overview

Transcriptomic analysis reveals ribosome biogenesis gene signatures and immune dysregulation in psoriasis, highlighting novel diagnostic and therapeutic targets.

Key Points

To delineate the molecular network of ribosome biogenesis-related genes in psoriasis, construct an accurate diagnostic model, and characterize their interactions with the immune microenvironment.
Consolidated multicenter bulk transcriptomic datasets to conduct differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning selection.
Assessed cellular heterogeneity and immune cell infiltration using single-cell RNA sequencing alongside functional enrichment and regulatory pathway analyses.
Identified 11 psoriasis-associated ribosome biogenesis genes and developed a 6-gene diagnostic model (MXD1, SCO2, FOSL1, STAT1, LTF, DEPDC1B) demonstrating robust predictive performance (AUC > 0.9).
Observed cell-type-specific gene expression in keratinocytes and monocytes, as well as dysregulation of regulatory T cells and dendritic cells driven primarily through NF-κB and IL-17 signaling pathways.

Cite This Study

Xu et al. (2025) studied this question.

synapsesocial.com/papers/6aabd31a300de2807df787dd https://doi.org/10.1007/s10238-025-01916-4

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November 11, 2025Clinical and Experimental MedicineOpen Access

Single-cell multi-omics of ribosome biogenesis-related genes reveals immune microenvironment in psoriasis and constructs a diagnostic model

View Full Paper

Ask AI

Bookmark

Authors

YXYunpeng XuAnhui Medical University SLShengxiu LiuAnhui Medical University

Discussion

Member takes

Overview

Transcriptomic analysis reveals ribosome biogenesis gene signatures and immune dysregulation in psoriasis, highlighting novel diagnostic and therapeutic targets.

Key Points

To delineate the molecular network of ribosome biogenesis-related genes in psoriasis, construct an accurate diagnostic model, and characterize their interactions with the immune microenvironment.
Consolidated multicenter bulk transcriptomic datasets to conduct differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning selection.
Assessed cellular heterogeneity and immune cell infiltration using single-cell RNA sequencing alongside functional enrichment and regulatory pathway analyses.
Identified 11 psoriasis-associated ribosome biogenesis genes and developed a 6-gene diagnostic model (MXD1, SCO2, FOSL1, STAT1, LTF, DEPDC1B) demonstrating robust predictive performance (AUC > 0.9).
Observed cell-type-specific gene expression in keratinocytes and monocytes, as well as dysregulation of regulatory T cells and dendritic cells driven primarily through NF-κB and IL-17 signaling pathways.

Cite This Study

Xu et al. (2025) studied this question.

synapsesocial.com/papers/6aabd31a300de2807df787dd https://doi.org/10.1007/s10238-025-01916-4

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