Molecular network strategy in multi-omics and mass spectrometry imaging

被引:11
|
作者
Zhao, Chao [1 ]
Dong, Jiyang [3 ]
Deng, Lingli [4 ]
Tan, Yawen [5 ]
Jiang, Wei [6 ]
Cai, Zongwei [2 ]
机构
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Inst Biomed & Hlth Engn, Bion Sensing & Intelligence Ctr, Shenzhen, Peoples R China
[2] Hong Kong Baptist Univ, Dept Chem, State Key Lab Environm & Biol Anal, Hong Kong, Peoples R China
[3] Xiamen Univ, Natl Inst Data Sci Hlth & Med, Dept Elect Sci, Xiamen, Peoples R China
[4] East China Univ Technol, Dept Informat Engn, Shanghai, Peoples R China
[5] Shenzhen Second Peoples Hosp, Dept Breast & Thyroid Surg, Shenzhen, Peoples R China
[6] Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Dept Radiat Oncol, Natl Canc Ctr,Natl Clin Res Ctr Canc, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
Mass spectrometry; Mass spectrometry imaging; Molecular network strategy; Metabolomics; Spatial omics; DISCOVERY; INSIGHTS;
D O I
10.1016/j.cbpa.2022.102199
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Human physiological activities and pathological changes arise from the coordinated interactions of multiple molecules. Mass spectrometry (MS)-based multi-omics and MS imaging (MSI)-based spatial omics are powerful methods used to investigate molecular information related to the phenotype of interest from homogenated or sliced samples, including the qualitative, relative quantitative and spatial distributions. Molecular network strategy provides efficient methods to help us understand and mine the biological patterns behind the phenotypic data. It illustrates and combines various relationships between molecules, and further performs the molecule identification and biological interpretation. Here, we describe the recent advances of network-based analysis and its applications for different biological processes, such as, obesity, central nervous system diseases, and environmental toxicology.
引用
收藏
页数:11
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