Integrative Analysis of Genome,3D Genome,and Transcriptome Alterations of Clinical Lung Cancer Samples
- Author:
Li TINGTING
1
,
2
;
Li RUIFENG
;
Dong XUAN
;
Shi LIN
;
Lin MIAO
;
Peng TING
;
Wu PENGZE
;
Liu YUTING
;
Li XIAOTING
;
He XUHENG
;
Han XU
;
Kang BIN
;
Wang YINAN
;
Liu ZHIHENG
;
Chen QING
;
Shen YUE
;
Feng MINGXIANG
;
Wang XIANGDONG
;
Wu DUOJIAO
;
Wang JIAN
;
Li CHENG
Author Information
1. Center for Bioinformatics,School of Life Sciences,Center for Statistical Science,Peking University,Beijing 100871,China
2. State Key Laboratory of Proteomics,National Center of Biomedical Analysis,Institute of Basic Medical Sciences,Beijing 100850,China
- Keywords:
Copy number variation;
Clinical sample;
Integrative genomic analysis
- From:
Genomics, Proteomics & Bioinformatics
2021;19(5):741-753
- CountryChina
- Language:Chinese
-
Abstract:
Genomic studies of cancer cell alterations,such as mutations,copy number variations(CNVs),and translocations,greatly promote our understanding of the genesis and development of cancers.However,the 3D genome architecture of cancers remains less studied due to the complexity of cancer genomes and technical difficulties.To explore the 3D genome structure in clin-ical lung cancer,we performed Hi-C experiments using paired normal and tumor cells harvested from patients with lung cancer,combining with RNA sequenceing analysis.We demonstrated the feasibility of studying 3D genome of clinical lung cancer samples with a small number of cells(1×104),compared the genome architecture between clinical samples and cell lines of lung cancer,and identified conserved and changed spatial chromatin structures between normal and cancer sam-ples.We also showed that Hi-C data can be used to infer CNVs and point mutations in cancer.By integrating those different types of cancer alterations,we showed significant associations between CNVs,3D genome,and gene expression.We propose that 3D genome mediates the effects of cancer genomic alterations on gene expression through altering regulatory chromatin structures.Our study highlights the importance of analyzing 3D genomes of clinical cancer samples in addition to cancer cell lines and provides an integrative genomic analysis pipeline for future larger-scale studies in lung cancer and other cancers.
