Integrated profiling of human pancreatic cancer organoids reveals chromatin accessibility features associated with drug sensitivity

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作者
Xiaohan Shi
Yunguang Li
Qiuyue Yuan
Shijie Tang
Shiwei Guo
Yehan Zhang
Juan He
Xiaoyu Zhang
Ming Han
Zhuang Liu
Yiqin Zhu
Suizhi Gao
Huan Wang
Xiongfei Xu
Kailian Zheng
Wei Jing
Luonan Chen
Yong Wang
Gang Jin
Dong Gao
机构
[1] Second Military Medical University (Naval Medical University),Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital
[2] Chinese Academy of Sciences,State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science
[3] University of Chinese Academy of Sciences,CEMS, NCMIS, HCMS, MDIS, Academy of Mathematics and Systems Science
[4] Chinese Academy of Sciences,School of Mathematical Sciences
[5] University of Chinese Academy of Sciences,Center for Excellence in Animal Evolution and Genetics
[6] Chinese Academy of Sciences,Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study
[7] University of Chinese Academy of Sciences,Institute for Stem Cell and Regeneration
[8] Chinese Academy of Sciences,undefined
[9] Guangdong Institute of Intelligence Science and Technology,undefined
[10] Hengqin,undefined
[11] Chinese Academy of Sciences,undefined
来源
Nature Communications | / 13卷
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摘要
Chromatin accessibility plays an essential role in controlling cellular identity and the therapeutic response of human cancers. However, the chromatin accessibility landscape and gene regulatory network of pancreatic cancer are largely uncharacterized. Here, we integrate the chromatin accessibility profiles of 84 pancreatic cancer organoid lines with whole-genome sequencing data, transcriptomic sequencing data and the results of drug sensitivity analysis of 283 epigenetic-related chemicals and 5 chemotherapeutic drugs. We identify distinct transcription factors that distinguish molecular subtypes of pancreatic cancer, predict numerous chromatin accessibility peaks associated with gene regulatory networks, discover regulatory noncoding mutations with potential as cancer drivers, and reveal the chromatin accessibility signatures associated with drug sensitivity. These results not only provide the chromatin accessibility atlas of pancreatic cancer but also suggest a systematic approach to comprehensively understand the gene regulatory network of pancreatic cancer in order to advance diagnosis and potential personalized medicine applications.
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