Genetically defined syngeneic mouse models of ovarian cancer as tools for the discovery of combination immunotherapy (RNA-seq). Genetically defined syngeneic mouse models of ovarian cancer as tools for the discovery of combination immunotherapy (RNA-seq)

Purpose: One of the goals of this study is to compare the transcriptome profiles of tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models (this study) using next-generation sequencing (NGS)-derived RNA-seq. Methods: Tumors from mice inoculated with specific engineered fallopian tube cells of high-grade serous tubo-ovarian cancer (HGSC) models were compared using RNA sequencing. Conclusions: We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biological functions. Overall design: Tumor mRNA profiles from mice inoculated with specific engineered fallopian tube cells were generated by deep sequencing.

研究目的：本研究的目标之一为，利用下一代测序（next-generation sequencing, NGS）衍生的RNA测序（RNA-seq）技术，对比本研究中接种高级别浆液性输卵管卵巢癌（high-grade serous tubo-ovarian cancer, HGSC）模型特定工程化输卵管细胞的小鼠肿瘤转录组谱。

研究方法：采用RNA测序技术，对接种高级别浆液性输卵管卵巢癌（HGSC）模型特定工程化输卵管细胞的小鼠肿瘤样本开展对比分析。

研究结论：本研究证实，基于RNA测序的转录组表征可加速遗传网络分析进程，并可实现对复杂生物学功能的解析。

整体实验设计：通过深度测序技术，获取接种特定工程化输卵管细胞的小鼠肿瘤mRNA转录组谱。