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Omics · study · 2026

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

Listed in NCBI GEO

Compared to classical drug screening, single-cell screening not only significantly enhances throughput but also provides richer transcriptional response information.

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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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Life Sciences
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Sequencing 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE29175714 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
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concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title