Yang Yueying, Meng Lingyu, Zhang Teng, Tan Jianjun
Department of Biomedical Engineering, School of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.
Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measure-ment and Clinical Transformation, Beijing 100124, China.
Curr Cancer Drug Targets. 2025 Jul 30. doi: 10.2174/0115680096372729250715050452.
With advancements in technology, single-cell RNA sequencing has emerged as a power-ful tool in cancer drug discovery. This technique enables the construction of gene expression profiles at the individual cell level, offering detailed insights into cellular heterogeneity and molecular path-ways involved in tumor development. It enables researchers to gain a deeper understanding of tumor heterogeneity. Researchers can study cell subpopulations and gene expression patterns. This under-standing helps in identifying potential drug targets. Additionally, it aids in predicting therapeutic responses. This high-resolution gene expression analysis provides a new perspective and oppor-tunity for cancer drug development, which is expected to accelerate the discovery and development process of new anti-cancer drugs. This article provides a comprehensive overview of the basic pro-cesses and developmental trajectory of single-cell RNA sequencing technology, with a particular emphasis on its applications in various aspects of cancer drug discovery. It also addresses the chal-lenges faced by single-cell RNA sequencing and potential future directions. This review aims to enhance readers' understanding of single-cell sequencing, inspire new ideas for oncology drug de-velopment, and support the translation of clinical research into practice, ultimately enabling physi-cians to design more precise and personalized treatment strategies.
