脂类学
计算生物学
质谱成像
代谢组学
细胞器
扫描电镜
细胞内
生物
细胞生物学
化学
生物信息学
计算机科学
质谱法
超分辨率
人工智能
色谱法
图像(数学)
作者
Dan Li,Zheng Ouyang,Xiaoxiao Ma
出处
期刊:Molecules
[MDPI AG]
日期:2023-03-17
卷期号:28 (6): 2712-2712
标识
DOI:10.3390/molecules28062712
摘要
Mass Spectrometry Imaging (MSI) has emerged as a powerful imaging technique for the analysis of biological samples, providing valuable insights into the spatial distribution and structural characterization of lipids. The advancements in high-resolution MSI have made it an indispensable tool for single-cell or subcellular lipidomics. By preserving both intracellular and intercellular information, MSI enables a comprehensive analysis of lipidomics in individual cells and organelles. This enables researchers to delve deeper into the diversity of lipids within cells and to understand the role of lipids in shaping cell behavior. In this review, we aim to provide a comprehensive overview of recent advancements and future prospects of MSI for cellular/subcellular lipidomics. By keeping abreast of the cutting-edge studies in this field, we will continue to push the boundaries of the understanding of lipid metabolism and the impact of lipids on cellular behavior.
科研通智能强力驱动
Strongly Powered by AbleSci AI