Proteomic Analysis of Human Neural Stem Cell Differentiation by SWATH-MS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985904%3A_____%2F22%3A00561137" target="_blank" >RIV/67985904:_____/22:00561137 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/22:10456693
Result on the web
<a href="https://link.springer.com/protocol/10.1007/7651_2022_462" target="_blank" >https://link.springer.com/protocol/10.1007/7651_2022_462</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/7651_2022_462" target="_blank" >10.1007/7651_2022_462</a>
Alternative languages
Result language
angličtina
Original language name
Proteomic Analysis of Human Neural Stem Cell Differentiation by SWATH-MS
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Embryonic Stem Cell Protocols
ISBN
978-1-0716-2436-4
Number of pages of the result
26
Pages from-to
335-360
Number of pages of the book
363
Publisher name
Springer Link
Place of publication
New York
UT code for WoS chapter
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