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DeepContact: High-throughput quantification of membrane contact sites based on electron microscopy imaging

文献类型：期刊论文

作者Liu, Liqing3,7; Yang, Shuxin4,6; Liu, Yang4,6; Li, Xixia3; Hu, Junjie2,7; Xiao, Li4,5,6; Xu, Tao1,2,7
刊名JOURNAL OF CELL BIOLOGY
出版日期2022-08-25
卷号221期号:9页码:21
ISSN号0021-9525
DOI10.1083/jcb.202106190
英文摘要Membrane contact site (MCS)-mediated organelle interactions play essential roles in the cell. Quantitative analysis of MCSs reveals vital clues for cellular responses under various physiological and pathological conditions. However, an efficient tool is lacking. Here, we developed DeepContact, a deep-learning protocol for optimizing organelle segmentation and contact analysis based on label-free EM. DeepContact presents high efficiency and flexibility in interactive visualizations, accommodating new morphologies of organelles and recognizing contacts in versatile width ranges, which enables statistical analysis of various types of MCSs in multiple systems. DeepContact profiled previously unidentified coordinative rearrangements of MCS types in cultured cells with combined nutritional conditions. DeepContact also unveiled a subtle wave of ER-mitochondrial entanglement in Sertoli cells during the seminiferous epithelial cycle, indicating its potential in bridging MCS dynamics to physiological and pathological processes.
资助项目National Natural Science Foundation of China[32027901] ; National Natural Science Foundation of China[31730054] ; National Natural Science Foundation of China[91854202] ; National Natural Science Foundation of China[31900979] ; National Natural Science Foundation of China[31700748] ; National Key Research and Development Program of China[2017YFA0504702] ; Chinese Academy of Sciences[XDB39000000] ; CCF-Tencent Open Fund
WOS研究方向Cell Biology
语种英语
WOS记录号WOS:000868653800001
出版者ROCKEFELLER UNIV PRESS
源URL[http://119.78.100.204/handle/2XEOYT63/19776]  
专题中国科学院计算技术研究所期刊论文
通讯作者Hu, Junjie; Xiao, Li; Xu, Tao
作者单位1.Guangzhou Med Univ, Sch Biomed Engn, Guangzhou, Guangdong, Peoples R China
2.Univ Chinese Acad Sci, Coll Life Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Ctr Biol Imaging, Inst Biophys, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China
5.Univ Chinese Acad Sci, Ningbo HuaMei Hosp, Ningbo, Peoples R China
6.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Biophys, Natl Lab Biomacromol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Liqing,Yang, Shuxin,Liu, Yang,et al. DeepContact: High-throughput quantification of membrane contact sites based on electron microscopy imaging[J]. JOURNAL OF CELL BIOLOGY,2022,221(9):21.
APA Liu, Liqing.,Yang, Shuxin.,Liu, Yang.,Li, Xixia.,Hu, Junjie.,...&Xu, Tao.(2022).DeepContact: High-throughput quantification of membrane contact sites based on electron microscopy imaging.JOURNAL OF CELL BIOLOGY,221(9),21.
MLA Liu, Liqing,et al."DeepContact: High-throughput quantification of membrane contact sites based on electron microscopy imaging".JOURNAL OF CELL BIOLOGY 221.9(2022):21.

入库方式： OAI收割

来源：计算技术研究所

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