Molecular network strategy in multi-omics and mass spectrometry imaging. (October 2022)

• Record Type: Journal Article
• Authors: Zhao, Chao; Dong, Jiyang; Deng, Lingli; Tan, Yawen; Jiang, Wei; Cai, Zongwei
• Is Part Of: Current opinion in chemical biology. Volume 70(2022)
• Publication Date: 2022-10
• Subjects: Mass spectrometry -- Mass spectrometry imaging -- Molecular network strategy -- Metabolomics -- Spatial omics; Bioorganic chemistry -- Periodicals; Biology -- Periodicals; Biochemistry -- Periodicals; Clinical biochemistry -- Periodicals; Biochemistry -- Periodicals; Chimie bio-organique -- Périodiques; Biologie -- Périodiques; 572.05
• DOI: 10.1016/j.cbpa.2022.102199
• Languages: English
• ISSNs: 1367-5931

Abstract

Abstract: 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. Graphical abstract: Image 1 Highlights: Network analysis is an approach for acquiring feature and interaction of molecules. Network analysis can provide the informative biological interpretations. MSI-based metabolic network has been applied for exploring spatio-temporal change of molecule. Network analysis can be used to respond to external environment stimuli.