单细胞测序
计算生物学
卵巢癌
生物
免疫系统
鉴定(生物学)
DNA测序
肿瘤微环境
转移
癌症
基因
外显子组测序
免疫学
表型
遗传学
植物
作者
Zhongkang Li,Haihan Gu,Xiaotong Xu,Yanpeng Tian,Xianghua Huang,Yanfang Du
标识
DOI:10.3389/fimmu.2023.1288027
摘要
Ovarian cancer is a highly heterogeneous and lethal malignancy with limited treatment options. Over the past decade, single-cell sequencing has emerged as an advanced biological technology capable of decoding the landscape of ovarian cancer at the single-cell resolution. It operates at the level of genes, transcriptomes, proteins, epigenomes, and metabolisms, providing detailed information that is distinct from bulk sequencing methods, which only offer average data for specific lesions. Single-cell sequencing technology provides detailed insights into the immune and molecular mechanisms underlying tumor occurrence, development, drug resistance, and immune escape. These insights can guide the development of innovative diagnostic markers, therapeutic strategies, and prognostic indicators. Overall, this review provides a comprehensive summary of the diverse applications of single-cell sequencing in ovarian cancer. It encompasses the identification and characterization of novel cell subpopulations, the elucidation of tumor heterogeneity, the investigation of the tumor microenvironment, the analysis of mechanisms underlying metastasis, and the integration of innovative approaches such as organoid models and multi-omics analysis.
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