Literature DB >> 22449141

Critical comparison of multidimensional separation methods for increasing protein expression coverage.

Linn Antberg1, Paolo Cifani, Marianne Sandin, Fredrik Levander, Peter James.   

Abstract

We present a comparison of two-dimensional separation methods and how they affect the degree of coverage of protein expression in complex mixtures. We investigated the relative merits of various protein and peptide separations prior to acidic reversed-phase chromatography directly coupled to an ion trap mass spectrometer. The first dimensions investigated were density gradient organelle fractionation of cell extracts, 1D SDS-PAGE protein separation followed by digestion by trypsin or GluC proteases, strong cation exchange chromatography, and off-gel isoelectric focusing of tryptic peptides. The number of fractions from each first dimension and the total data accumulation RP-HPLC-MS/MS time was kept constant and the experiments were run in triplicate. We find that the most critical parameters are the data accumulation time, which defines the level of under-sampling and the avoidance of peptides from high expression level proteins eluting over the entire gradient.

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Year:  2012        PMID: 22449141     DOI: 10.1021/pr201257y

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

Review 1.  Towards comprehensive and quantitative proteomics for diagnosis and therapy of human disease.

Authors:  Paolo Cifani; Alex Kentsis
Journal:  Proteomics       Date:  2016-12-21       Impact factor: 3.984

2.  Accurate label-free protein quantitation with high- and low-resolution mass spectrometers.

Authors:  Jocelyn F Krey; Phillip A Wilmarth; Jung-Bum Shin; John Klimek; Nicholas E Sherman; Erin D Jeffery; Dongseok Choi; Larry L David; Peter G Barr-Gillespie
Journal:  J Proteome Res       Date:  2013-12-10       Impact factor: 4.466

3.  Electroblotting through a tryptic membrane for LC-MS/MS analysis of proteins separated in electrophoretic gels.

Authors:  A N Bickner; M M Champion; A B Hummon; M L Bruening
Journal:  Analyst       Date:  2020-11-23       Impact factor: 4.616

4.  Proteomic analysis of breast tumors confirms the mRNA intrinsic molecular subtypes using different classifiers: a large-scale analysis of fresh frozen tissue samples.

Authors:  Sofia Waldemarson; Emila Kurbasic; Morten Krogh; Paolo Cifani; Tord Berggård; Åke Borg; Peter James
Journal:  Breast Cancer Res       Date:  2016-06-29       Impact factor: 6.466

Review 5.  Mass spectrometry-based tear proteomics for noninvasive biomarker discovery.

Authors:  Erika Ponzini; Carlo Santambrogio; Antonella De Palma; Pierluigi Mauri; Silvia Tavazzi; Rita Grandori
Journal:  Mass Spectrom Rev       Date:  2021-03-24       Impact factor: 9.011

  5 in total

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