DrugReSC: targeting disease-critical cell subpopulations with single-cell transcriptomic data for drug repurposing in cancer

	DrugReSC: targeting disease-critical cell subpopulations with single-cell transcriptomic data for drug repurposing in cancer
	Liu, CH; Zhang, Y; Liang, YJ; Zhang, TJ; Wang, GH
	2024
发表期刊	BRIEF BIOINFORM
ISSN	1467-5463
卷号	25 期号:6
摘要	The field of computational drug repurposing aims to uncover novel therapeutic applications for existing drugs through high-throughput data analysis. However, there is a scarcity of drug repurposing methods leveraging the cellular-level information provided by single-cell RNA sequencing data. To address this need, we propose DrugReSC, an innovative approach to drug repurposing utilizing single-cell RNA sequencing data, intending to target specific cell subpopulations critical to disease pathology. DrugReSC constructs a drug-by-cell matrix representing the transcriptional relationships between individual cells and drugs and utilizes permutation-based methods to assess drug contributions to cellular phenotypic changes. We demonstrate DrugReSC's superior performance compared to existing drug repurposing methods based on bulk or single-cell RNA sequencing data across multiple cancer case studies. In summary, DrugReSC offers a novel perspective on the utilization of single-cell sequencing data in drug repurposing methods, contributing to the advancement of precision medicine for cancer.
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.kiz.ac.cn/handle/152453/14596
专题	科研部门_天然药物功能蛋白质学科组（赖仞）
推荐引用方式 GB/T 7714	Liu, CH,Zhang, Y,Liang, YJ,et al. DrugReSC: targeting disease-critical cell subpopulations with single-cell transcriptomic data for drug repurposing in cancer[J]. BRIEF BIOINFORM,2024,25(6).
APA	Liu, CH,Zhang, Y,Liang, YJ,Zhang, TJ,&Wang, GH.(2024).DrugReSC: targeting disease-critical cell subpopulations with single-cell transcriptomic data for drug repurposing in cancer.BRIEF BIOINFORM,25(6).
MLA	Liu, CH,et al."DrugReSC: targeting disease-critical cell subpopulations with single-cell transcriptomic data for drug repurposing in cancer".BRIEF BIOINFORM 25.6(2024).

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