Wang Ye, Mashock Michael, Tong Zhuang, Mu Xiaofeng, Chen Hong, Zhou Xin, Zhang Hong, Zhao Gexin, Liu Bin, Li Xinmin
Clinical Laboratory, Qingdao Central Hospital, The Second Affiliated Hospital of Medical College of Qingdao University, Qingdao, China.
Department of Pathology & Laboratory Medicine, UCLA Technology Center for Genomics & Bioinformatics, Los Angeles, CA, United States.
Front Oncol. 2020 Apr 9;10:447. doi: 10.3389/fonc.2020.00447. eCollection 2020.
RNA sequencing (RNAseq) is one of the most commonly used techniques in life sciences, and has been widely used in cancer research, drug development, and cancer diagnosis and prognosis. Driven by various biological and technical questions, the techniques of RNAseq have progressed rapidly from bulk RNAseq, laser-captured micro-dissected RNAseq, and single-cell RNAseq to digital spatial RNA profiling, spatial transcriptomics, and direct sequencing. These different technologies have their unique strengths, weaknesses, and suitable applications in the field of clinical oncology. To guide cancer researchers to select the most appropriate RNAseq technique for their biological questions, we will discuss each of these technologies, technical features, and clinical applications in cancer. We will help cancer researchers to understand the key differences of these RNAseq technologies and their optimal applications.
RNA测序(RNAseq)是生命科学中最常用的技术之一,已广泛应用于癌症研究、药物开发以及癌症诊断和预后评估。在各种生物学和技术问题的推动下,RNAseq技术已从批量RNAseq、激光捕获显微切割RNAseq和单细胞RNAseq迅速发展到数字空间RNA分析、空间转录组学和直接测序。这些不同的技术在临床肿瘤学领域各有其独特的优势、劣势和适用范围。为了指导癌症研究人员针对其生物学问题选择最合适的RNAseq技术,我们将讨论这些技术中的每一种、技术特点以及在癌症中的临床应用。我们将帮助癌症研究人员了解这些RNAseq技术的关键差异及其最佳应用。