卵巢癌
DNA测序
生物
计算生物学
癌症干细胞
癌症
癌症研究
恶性肿瘤
疾病
单细胞测序
转录组
外显子组测序
基因
医学
遗传学
基因表达
内科学
表型
作者
Saurav Talukdar,Zenas Chang,Boris Winterhoff,Timothy K. Starr
标识
DOI:10.1007/978-3-030-73359-9_7
摘要
Ovarian cancer remains the leading cause of death from gynecologic malignancy in the Western world. Tumors are comprised of heterogeneous populations of various cancer, immune, and stromal cells; it is hypothesized that rare cancer stem cells within these subpopulations lead to disease recurrence and treatment resistance. Technological advances now allow for the analysis of tumor genomes and transcriptomes at the single-cell level, which provides the resolution to potentially identify these rare cancer stem cells within the larger tumor. In this chapter, we review the evolution of next-generation RNA sequencing techniques, the methodology of single-cell isolation and sequencing, sequencing data analysis, and the potential applications in ovarian cancer. We also summarize the current published work using single-cell sequencing in ovarian cancer. By utilizing this novel technique to characterize the gene expression of rare subpopulations, new targets and treatment pathways may be identified in ovarian cancer to change treatment paradigms.
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