Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
Curr Opin Chem Biol. 2022 Oct;70:102199. doi: 10.1016/j.cbpa.2022.102199. Epub 2022 Aug 23.
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.
人类的生理活动和病理变化源于多种分子的协调相互作用。基于质谱(MS)的多组学和基于 MS 成像(MSI)的空间组学是强大的方法,可用于从均质或切片样本中研究与感兴趣表型相关的分子信息,包括定性、相对定量和空间分布。分子网络策略为我们提供了有效的方法来帮助理解和挖掘表型数据背后的生物学模式。它说明了并结合了分子之间的各种关系,并进一步进行了分子鉴定和生物学解释。在这里,我们描述了基于网络的分析及其在肥胖、中枢神经系统疾病和环境毒理学等不同生物学过程中的应用的最新进展。