Institute of Computing Technology, Chinese Academy IR
DeepContact: High-throughput quantification of membrane contact sites based on electron microscopy imaging | |
Liu, Liqing1,5; Yang, Shuxin2,4; Liu, Yang2,4; Li, Xixia5; Hu, Junjie1,6; Xiao, Li2,3,4; Xu, Tao1,6,7 | |
2022-08-25 | |
发表期刊 | JOURNAL OF CELL BIOLOGY |
ISSN | 0021-9525 |
卷号 | 221期号:9页码:21 |
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. |
DOI | 10.1083/jcb.202106190 |
收录类别 | SCI |
语种 | 英语 |
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 |
WOS类目 | Cell Biology |
WOS记录号 | WOS:000868653800001 |
出版者 | ROCKEFELLER UNIV PRESS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/19777 |
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.Chinese Acad Sci, Inst Biophys, Natl Lab Biomacromol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Ningbo HuaMei Hosp, Ningbo, Peoples R China 4.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China 5.Chinese Acad Sci, Ctr Biol Imaging, Inst Biophys, Beijing, Peoples R China 6.Univ Chinese Acad Sci, Coll Life Sci, Beijing, Peoples R China 7.Guangzhou Med Univ, Sch Biomed Engn, Guangzhou, Guangdong, 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. |
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