蛋白质组学
干细胞
计算生物学
计算机科学
协议(科学)
效应器
生物
细胞生物学
医学
病理
生物化学
替代医学
基因
作者
Jirina Tyleckova,Jakub Cervenka,Ievgeniia Poliakh,Jaromir Novak,Katerina Vodickova Kepkova,Helena Kupcova Skalnikova,Petr Vodicka
出处
期刊:Methods in molecular biology
日期:2022-05-18
卷期号:: 335-360
标识
DOI:10.1007/7651_2022_462
摘要
The unique properties of stem cells to self-renew and differentiate hold great promise in disease modelling and regenerative medicine. However, more information about basic stem cell biology and thorough characterization of available stem cell lines is needed. This is especially essential to ensure safety before any possible clinical use of stem cells or partially committed cell lines. As proteins are the key effector molecules in the cell, the proteomic characterization of cell lines, cell compartments or cell secretome and microenvironment is highly beneficial to answer above mentioned questions. Nowadays, method of choice for large-scale discovery-based proteomic analysis is mass spectrometry (MS) with data-independent acquisition (DIA). DIA is a robust, highly reproducible, high-throughput quantitative MS approach that enables relative quantification of thousands of proteins in one sample. In the current protocol, we describe a specific variant of DIA known as SWATH-MS for characterization of neural stem cell differentiation. The protocol covers the whole process from cell culture, sample preparation for MS analysis, the SWATH-MS data acquisition on TTOF 5600, the complete SWATH-MS data processing and quality control using Skyline software and the basic statistical analysis in R and MSstats package. The protocol for SWATH-MS data acquisition and analysis can be easily adapted to other samples amenable to MS-based proteomics.
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