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Triple extraction method enables high quality mass spectrometry‐based proteomics and phospho‐proteomics for eventual multi‐omics integration studies
Author(s) -
SanchezQuiles Virginia,
Shi MingJun,
Dingli Florent,
Krucker Clémentine,
Loew Damarys,
BernardPierrot Isabelle,
Radvanyi François
Publication year - 2021
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.202000303
Subject(s) - proteomics , proteome , shotgun proteomics , computational biology , mass spectrometry , proteogenomics , biology , bioinformatics , chemistry , chromatography , genomics , biochemistry , genome , gene
Large‐scale multi‐omic analysis allows a thorough understanding of different physiological or pathological conditions, particularly cancer. Here, an extraction method simultaneously yielding DNA, RNA and protein (thereby referred to as “triple extraction”, TEx) was tested for its suitability to unbiased, system‐wide proteomic investigation. Largely proven efficient for transcriptomic and genomic studies, we aimed at exploring TEx compatibility with mass spectrometry‐based proteomics and phospho‐proteomics, as compared to a standard urea extraction. TEx is suitable for the shotgun investigation of proteomes, providing similar results as urea‐based protocol both at the qualitative and quantitative levels. TEx is likewise compatible with the exploration of phosphorylation events, actually providing a higher number of correctly localized sites than urea, although the nature of extracted modifications appears somewhat distinct between both techniques. These results highlight that the presented protocol is well suited for the examination of the proteome and modified proteome of this bladder cancer cell model, as efficiently as other more widely used workflows for mass spectrometry‐based analysis. Potentially applicable to other mammalian cell types and tissues, TEx represents an advantageous strategy for multi‐omics on scarce and/or heterogenous samples.