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Integrative Analysis of Genome,3D Genome,and Transcriptome Alterations of Clinical Lung Cancer Samples

摘要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.

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作者 Tingting Li [1] Ruifeng Li [2] Xuan Dong [3] Lin Shi [4] Miao Lin [5] Ting Peng [2] Pengze Wu [2] Yuting Liu [2] Xiaoting Li [6] Xuheng He [3] Xu Han [3] Bin Kang [3] Yinan Wang [2] Zhiheng Liu [2] Qing Chen [2] Yue Shen [7] Mingxiang Feng [5] Xiangdong Wang [4] Duojiao Wu [8] Jian Wang [9] Cheng Li [2] 学术成果认领
作者单位 Center for Bioinformatics,School of Life Sciences,Center for Statistical Science,Peking University,Beijing 100871,China;State Key Laboratory of Proteomics,National Center of Biomedical Analysis,Institute of Basic Medical Sciences,Beijing 100850,China [1] Center for Bioinformatics,School of Life Sciences,Center for Statistical Science,Peking University,Beijing 100871,China [2] BGI-Shenzhen,Shenzhen 518083,China;China National Gene Bank,BGI-Shenzhen,Shenzhen 518083,China [3] Zhongshan Hospital Institute of Clinical Science,Fudan University,Shanghai Institute of Clinical Bioinformatics,Shanghai 200433,China;Fudan University Center for Clinical Bioinformatics,Shanghai 200433,China [4] Department of Thoracic Surgery,Zhongshan Hospital of Fudan University,Shanghai 200032,China [5] Center for Bioinformatics,School of Life Sciences,Center for Statistical Science,Peking University,Beijing 100871,China;School of Life Sciences,Tsinghua University,Beijing 100084,China [6] BGI-Shenzhen,Shenzhen 518083,China;BGI-Qingdao,Qingdao 266426,China;Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics,BGI-Shenzhen,Shenzhen 518083,China [7] Zhongshan Hospital Institute of Clinical Science,Fudan University,Shanghai Institute of Clinical Bioinformatics,Shanghai 200433,China [8] iCarbonX,Shenzhen 518053,China;Digital Life Research Institute,Shenzhen 518110,China [9]
栏目名称 ORIGINAL RESEARCH
发布时间 2022-06-22
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