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Comparison of fractionation strategies for offline two-dimensional liquid chromatography tandem mass spectrometry analysis of proteins from mouse adipose tissue
Authors:Tatjana Sajic  Emmanuel Varesio  Ildiko Szanto  Gérard Hopfgartner
Institution:1. Life Sciences Mass Spectrometry, School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, 1211 Geneva 4, Switzerland;2. Department of Cellular Physiology and Metabolism, University of Geneva, 1211 Geneva 4, Switzerland;3. Department of Internal Medicine Specialties, Geneva University Hospitals, 1205 Geneva, Switzerland
Abstract:In the frame of protein identification from mouse adipose tissue, two strategies were compared for the offline elution of peptides from a strong cation exchange (SCX) column in two-dimensional liquid chromatography tandem mass spectrometry (2D–LC–MS/MS) analyses. First, the salt gradient (using K+ as displacing agent) was evaluated from 25 to 500 mM KCl. Then, a less investigated elution mode using a pH gradient (using citric acid and ammonium hydroxide) was carried out from pH 2.5 to 9.0. Equal amounts of peptide digest derived from mouse adipose tissue were loaded onto the SCX column and fractionated according to the two approaches. A total of 15 fractions were collected in two independent experiments for each SCX elution strategy. Then, each fraction was analyzed on a nanoLC–MS/MS platform equipped with a column-switching unit for desalting and enrichment. No substantial differences in peptide quality characteristics (molecular weight, isoelectric point, or GRAVY grand average of hydropathicity] index distributions) were observed between the two datasets. The pH gradient approach was found to be superior, with 27.5% more unique peptide identifications and 10% more distinct protein identifications compared with the salt-based elution method. In conclusion, our data imply that the pH gradient SCX fractionation is more desirable for proteomics analysis of entire adipose tissue.
Keywords:Adipose tissue  Offline 2D&ndash  LC&ndash  MS/MS  SCX fractionation  pH gradient SCX  Salt gradient SCX  Peptides
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