التفاصيل البيبلوغرافية
| العنوان: |
DrugReSC: targeting disease-critical cell subpopulations with single-cell transcriptomic data for drug repurposing in cancer. |
| المؤلفون: |
Liu, Chonghui1,2 (AUTHOR), Zhang, Yan3,4 (AUTHOR), Liang, Yingjian5 (AUTHOR), Zhang, Tianjiao2 (AUTHOR) tianjiaozhang@nefu.edu.cn, Wang, Guohua2 (AUTHOR) tianjiaozhang@nefu.edu.cn |
| المصدر: |
Briefings in Bioinformatics. Nov2024, Vol. 25 Issue 6, p1-14. 14p. |
| مصطلحات موضوعية: |
DRUG repositioning, DRUG discovery, CANCER case studies, RNA sequencing, PATHOLOGY |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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