化学
质谱法
色谱法
图像拼接
分辨率(逻辑)
仿形(计算机编程)
高分辨率
毛细管作用
分析化学(期刊)
遥感
材料科学
人工智能
计算机科学
复合材料
地质学
操作系统
作者
Tianrun Xu,Hang Li,Disheng Feng,Peng Dou,Xianzhe Shi,Chunxiu Hu,Guowang Xu
标识
DOI:10.1021/acs.analchem.1c00373
摘要
Studies of cellular metabolism can provide profound insights into the underlying molecular mechanisms and metabolic function. To date, the majority of cellular metabolism studies based on chromatography-mass spectrometry (MS) require population cells to obtain informative metabolome. These methods are not only time-consuming but also not suitable for amount-limited cell samples such as circulating tumor cells, stem cells, and neurons. Therefore, it is extremely essential to develop analytical methods enabling to detect metabolome from tens of cells in a high-throughput and high-sensitivity way. In this work, a novel platform for rapid and sensitive detection of lipidome in 20 mammalian cells was proposed using capillary microsampling combined with high-resolution spectral stitching nanoelectrospray ionization direct-infusion MS. It can be used to collect cells rapidly and accurately via the capillary microprobe, extract lipids directly in a 96-well plate using a spray solvent, and detect more than 500 lipids covering 19 lipid subclasses within 3 min. This novel platform was successfully applied to study the lipid features of different cancer cell types and subtypes as well as target cells from tissue samples. This study provides a strategy for determining the lipid species with rich information in tens of cells and demonstrates great potential for clinical applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI