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单细胞 RNA 测序:技术进展及在癌症研究中的生物医学应用。

Single-Cell RNA Sequencing: Technological Progress and Biomedical Application in Cancer Research.

机构信息

Department of Otolaryngology, Head and Neck Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, 330006, Jiangxi, People's Republic of China.

出版信息

Mol Biotechnol. 2024 Jul;66(7):1497-1519. doi: 10.1007/s12033-023-00777-0. Epub 2023 Jun 15.

DOI:10.1007/s12033-023-00777-0
PMID:37322261
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11217094/
Abstract

Single-cell RNA-seq (scRNA-seq) is a revolutionary technology that allows for the genomic investigation of individual cells in a population, allowing for the discovery of unusual cells associated with cancer and metastasis. ScRNA-seq has been used to discover different types of cancers with poor prognosis and medication resistance such as lung cancer, breast cancer, ovarian cancer, and gastric cancer. Besides, scRNA-seq is a promising method that helps us comprehend the biological features and dynamics of cell development, as well as other disorders. This review gives a concise summary of current scRNA-seq technology. We also explain the main technological steps involved in implementing the technology. We highlight the present applications of scRNA-seq in cancer research, including tumor heterogeneity analysis in lung cancer, breast cancer, and ovarian cancer. In addition, this review elucidates potential applications of scRNA-seq in lineage tracing, personalized medicine, illness prediction, and disease diagnosis, which reveals that scRNA-seq facilitates these events by producing genetic variations on the single-cell level.

摘要

单细胞 RNA 测序(scRNA-seq)是一项革命性的技术,可对群体中的单个细胞进行基因组研究,从而发现与癌症和转移相关的异常细胞。scRNA-seq 已被用于发现预后不良和耐药的不同类型的癌症,如肺癌、乳腺癌、卵巢癌和胃癌。此外,scRNA-seq 是一种很有前途的方法,可以帮助我们理解细胞发育的生物学特征和动态,以及其他疾病。本综述简要总结了当前的 scRNA-seq 技术。我们还解释了实施该技术所涉及的主要技术步骤。我们重点介绍了 scRNA-seq 在癌症研究中的当前应用,包括肺癌、乳腺癌和卵巢癌中的肿瘤异质性分析。此外,本综述阐明了 scRNA-seq 在谱系追踪、个性化医疗、疾病预测和疾病诊断中的潜在应用,这表明 scRNA-seq 通过在单细胞水平上产生遗传变异来促进这些事件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dcc/11217094/b54366ae04ce/12033_2023_777_Fig5_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dcc/11217094/b54366ae04ce/12033_2023_777_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dcc/11217094/7f3b32de6b52/12033_2023_777_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dcc/11217094/cb8f2cd0592c/12033_2023_777_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dcc/11217094/0b268f5d468d/12033_2023_777_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dcc/11217094/0cdf7bb5493c/12033_2023_777_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dcc/11217094/b54366ae04ce/12033_2023_777_Fig5_HTML.jpg

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