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Updated: Mar 19, 2026

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
Published on: November 14, 2025
Single-Cell Sequencing Technology in Oncology: Applications for Clinical Therapies and Research
Baixin Ye1, Qingping Gao1, Zhi Zeng2
1Department of Hematology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.
Abstract:
Cellular heterogeneity is a fundamental characteristic of many cancers. A lack of cellular homogeneity contributes to difficulty in designing targeted oncological therapies. Therefore, the development of novel methods to determine and characterize oncologic cellular heterogeneity is a critical next step in the development of novel cancer therapies. Single-cell sequencing (SCS) technology has been recently employed for analyzing the genetic polymorphisms of individual cells at the genome-wide level. SCS requires (1) precise isolation of the single cell of interest; (2) isolation and amplification of genetic material; and (3) descriptive analysis of genomic, transcriptomic, and epigenomic data. In addition to targeted analysis of single cells isolated from tumor biopsies, SCS technology may be applied to circulating tumor cells, which may aid in predicting tumor progression and metastasis. In this paper, we provide an overview of SCS technology and review the current literature on the potential application of SCS to clinical oncology and research.
Insights
Single-cell sequencing (SCS) offers a powerful method to analyze cancer
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Cancer cellular heterogeneity poses challenges for targeted therapy development.
- Understanding cellular diversity is crucial for advancing cancer treatment strategies.
Purpose of the Study:
- To provide an overview of single-cell sequencing (SCS) technology.
- To review the current applications of SCS in clinical oncology and research.
Main Methods:
- Single-cell sequencing (SCS) involves isolating individual cells.
- Genetic material is then isolated and amplified for analysis.
- Genomic, transcriptomic, and epigenomic data are described.
Main Results:
- SCS enables genome-wide analysis of genetic polymorphisms in single cells.
- The technology can be applied to tumor biopsies and circulating tumor cells.
- SCS aids in understanding tumor progression and metastasis.
Conclusions:
- Single-cell sequencing is a critical tool for characterizing oncologic cellular heterogeneity.
- SCS applications hold significant potential for improving cancer therapies and research.
- Further development and application of SCS are essential for personalized oncology.
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