Single-Cell Transcriptomics: Technical Advances, Applications and Challenges in Cancer Drug Discovery

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.

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Publication Details

Journal
Current Cancer Drug Targets
Published
2025-07-30
DOI
https://doi.org/10.2174/0115680096372729250715050452
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81
Controls
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article

Single-Cell Transcriptomics: Technical Advances, Applications and Challenges in Cancer Drug Discovery

Jianjun Tan, Teng Zhang, Lingyu Meng, Yueying Yang
1 citations
Current Cancer Drug Targets
Single-cell and spatial transcriptomics
0.81
article

Single-Cell Transcriptomics: Technical Advances, Applications and Challenges in Cancer Drug Discovery

Jianjun Tan, Teng Zhang, Lingyu Meng, Yueying Yang
article en
1 citations

Abstract

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.

Current Cancer Drug TargetsVol. 25
China International Science and Technology Cooperation (CN), University of Science and Technology Beijing (CN)
Good health and well-being
Openalex Percentile: Top 25%
Single-cell and spatial transcriptomics
0.81
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Single-Cell Transcriptomics: Technical Advances, Applications and Challenges in Cancer Drug Discovery — Jianjun Tan, Teng Zhang, et al. · Current Cancer Drug Targets (2025) | TGRS Research Map | TGRS