Affiliation:
1. Department of Gastroenterological Surgery, Peking University People’s Hospital, Beijing 100044, China
2. Laboratory of Surgical Oncology, Peking University People’s Hospital, Beijing 100044, China
3. Department of Ambulatory Surgery Center, Xijing Hospital, Air Force Military Medical University, Xi’an 710032, China
Abstract
Colorectal cancer (CRC) is the third most prevalent and second most lethal cancer globally, with gene mutations and tumor metastasis contributing to its poor prognosis. Single-cell sequencing technology enables high-throughput analysis of the genome, transcriptome, and epigenetic landscapes at the single-cell level. It offers significant insights into analyzing the tumor immune microenvironment, detecting tumor heterogeneity, exploring metastasis mechanisms, and monitoring circulating tumor cells (CTCs). This article provides a brief overview of the technical procedure and data processing involved in single-cell sequencing. It also reviews the current applications of single-cell sequencing in CRC research, aiming to enhance the understanding of intratumoral heterogeneity, CRC development, CTCs, and novel drug targets. By exploring the diverse molecular and clinicopathological characteristics of tumor heterogeneity using single-cell sequencing, valuable insights can be gained into early diagnosis, therapy, and prognosis of CRC. Thus, this review serves as a valuable resource for identifying prognostic markers, discovering new therapeutic targets, and advancing personalized therapy in CRC.
Funder
National Key Research and Development Program of China
ational Natural Science Foundation of China
Reference68 articles.
1. Single-cell genome sequencing: Current state of the science;Gawad;Nat. Rev. Genet.,2016
2. The Human Cell Atlas;Regev;eLife,2017
3. Van den Berge, K., Perraudeau, F., Soneson, C., Love, M.I., Risso, D., Vert, J.-P., Robinson, M.D., Dudoit, S., and Clement, L. (2018). Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications. Genome Biol., 19.
4. Single-cell RNA-sequencing: The future of genome biology is now;Picelli;RNA Biol.,2017
5. Single-cell RNA-seq: Advances and future challenges;Saliba;Nucleic Acids Res.,2014
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献