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Whole Cell MALDI Fingerprinting Is a Robust Tool for Differential Profiling of Two-Component Mammalian Cell Mixtures.

Authors :
Petukhova, Valentina Z.
Young, Alexandria N.
Wang, Jian
Wang, Mingxun
Ladanyi, Andras
Kothari, Rajul
Burdette, Joanna E.
Sanchez, Laura M.
Source :
Journal of the American Society for Mass Spectrometry. Feb2019, Vol. 30 Issue 2, p344-354. 11p.
Publication Year :
2019

Abstract

MALDI fingerprinting was first described two decades ago as a technique to identify microbial cell lines. Microbial fingerprinting has since evolved into an automated platform for microorganism identification and classification, which is now routinely used in clinical and environmental sectors. The extension of fingerprinting to mammalian cells has yet to progress partly due to compartmentalization of eukaryotic cells and overall higher cellular complexity. A number of publications on mammalian whole cell fingerprinting suggest that the method could be useful for classification of different cell types, cell states, and monitoring cell differentiation. We report the optimization of MALDI fingerprinting workflow parameters for mammalian cells and its application for differential profiling of mammalian cell lines and two-component cell line mixtures. Murine fallopian tube cells and high-grade ovarian carcinoma cell lines and their mixtures are used as model mammalian cell lines. Two-component cell mixtures serve to determine the method's feasibility for complex biological samples as the ability to detect cancer cells in a mixed cell population. The level of detection of cancer cells in the two-component mixture by principle component analysis (PCA) starts to deteriorate at 5% but with application of a different statistical approach, Wilcoxon rank sum test, the level of detection was determined to be 1%. The ability to differentiate heterogeneous cell mixtures will help further extend whole cell MALDI fingerprinting to complex biological systems.Graphical Abstract [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10440305
Volume :
30
Issue :
2
Database :
Academic Search Index
Journal :
Journal of the American Society for Mass Spectrometry
Publication Type :
Academic Journal
Accession number :
134281679
Full Text :
https://doi.org/10.1007/s13361-018-2088-6