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Single cell transcriptome analysis of human primary osteoblasts

GSE286109 Homo sapiens Expression profiling by high throughput sequencing 3 samples Submitted 2026/04/22 Platform GPL11154
Summary
This study collected three femoral head samples, optimized the experimental workflow for osteoblast isolation and conducted single-cell transcriptomic sequencing. During the bioinformatic analysis of the single-cell transcriptomic data, we annotated into 10 cell types: OB, NE, Chondrocytes (CHON), Erythrocytes (ER), Macrophages (MAC), B cells (B), T cells (T), plasma cells (PC), Endothelial cells (EC), Smooth muscle cells (SMC). Using CellChat, we identified distinct ligand and receptor expression patterns across various cell types. These analyses allowed us to identify unique signaling mechanisms for each cell population and uncover functional communication among different cell types.
Published in
Single-Cell Transcriptomics Reveals Riluzole as an Osteoarthritis Candidate Drug via OB-NE Signaling Modulation and CTSS/NOS1 Inhibition
Liu K, Li JL, Chen Y et al. · Drug design, development and therapy 2026 · PMID 41993107 · doi:10.2147/DDDT.S544803
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Direct links to NCBI, no account and no request form: the whole study as GSE286109_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 3 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1207949. Searching any of these in the dataset finder brings you back here.

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