A high dimensional deep sequencing study of non-small cell lung adenocarcinoma in never-smoker Korean females [Seq]
收藏NIAID Data Ecosystem2026-03-09 收录
下载链接:
https://www.omicsdi.org/dataset/biostudies-other/S-ECPF-GEOD-37764
下载链接
链接失效反馈官方服务:
资源简介:
One of the most fertile applications of next generation sequencing will be in the field of cancer genomics. Here, we report a high-throughput multi-dimensional sequencing study of primary non-small cell lung adenocarcinoma tumors and adjacent normal tissues of 6 never-smoker Korean female patients. Our data encompass results from exome-seq, RNA-seq, small RNA-seq, and MeDIP-seq. We identified and validated novel genetic aberrations including 47 somatic mutations and 20 fusion transcripts. We also characterized gene expression profiles which we sought to integrate with genomic aberrations and epigenetic regulations into functional networks. Importantly, among others the gene network module governing G2/M cell check point emerged as the primary source of disturbance in these patients. In addition, our study strongly suggests that microRNAs make key regulatory inputs into this gene network module. Our study offers a paradigm for integrative genomics analysis and proposes potential target pathways for the control of non-small cell lung adenocarcinoma. Study of primary non-small cell lung adenocarcinoma tumors and normal tissues of 6 patients.
创建时间:
2016-04-14



