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Multiplexed transcriptomics to screen drug combination and define therapeutic mechanism of action at single-cell resolution

GSE291757 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2026/05/28 Platform GPL29480
Summary
Compared to classical drug screening, single-cell screening not only significantly enhances throughput but also provides richer transcriptional response information. In this study, we employed the high-throughput single-cell sequencing technology, snHH-seq, to screen clinical drug combinations with anti-hepatocellular carcinoma activity. Single-cell transcriptomics revealed that the combination of HHT and YM155 (HY) exhibited the most potent inhibitory effect on cellular proliferation, which was also validated through in vitro and in vivo functional assays. Mechanistically, transcription factor regulatory network analysis identified cell type-specific regulators in each subpopulation with HY treatment, and revealed that the anticancer effects primarily target apoptosis-related subpopulations. These findings provide critical insights for precision diagnosis and treatment of hepatocellular carcinoma.
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Also filed as BioProject PRJNA1235189 and SRA study SRP569877. Searching any of these in the dataset finder brings you back here.

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