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A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
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Integrative Transcriptomic Profiling Delineates LTBP4-Driven Fibroblast Reprogramming Across the Ossification
Xiao Zhang1,2, Tengyao Niu2, Yulong Zhao2
1General Hospital of Ningxia Medical University, Ningxia, China.
Abstract:
To delineate the dynamic transcriptomic landscape of ossification of the ligamentum flavum (OLF) across normal, immature, and mature stages, identify core genes, and screen stage-specific drug candidates. Normal, immature, and mature OLF tissues (nine samples) from three patients with multilevel OLF were collected for RNA-seq. Differential expression, functional enrichment, and dynamic trend analyses were performed. Key genes were validated using an external GEO dataset. Single-cell and spatial transcriptomics were integrated to determine cellular origin and spatial localization. AI-based drug prediction and molecular docking were conducted. Between normal versus immature, 1026 DEGs were identified; between immature versus mature, 713 DEGs; and between normal versus mature, 1285 DEGs. Upregulated genes were enriched in RNA processing and ribosome biogenesis, whereas downregulated genes were enriched in ECM-receptor interaction. LTBP4 showed progressive downregulation during ossification (AUC = 0.88). Single-cell transcriptomics and spatial transcriptomic analysis of a public multi-omics dataset (GSE255942) revealed that LTBP4 is expressed in fibroblasts, with lower expression in ossified than normal tissues. Virtual knockout of Ltbp4 in fibroblasts recapitulated the OLF transcriptomic signature. AI-based drug prediction identified stage-specific candidates; BRD-K59831625 exhibited the lowest binding energy with LTBP4 (-8.9 kcal/mol). Sustained LTBP4 downregulation drives OLF progression, with fibroblasts as core effector cells. Stage-specific drug candidates were identified. These findings provide new targets for molecular diagnosis and precision treatment of OLF.
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