Literature DB >> 17616116

Comparison of digestion protocols for microgram quantities of enriched protein samples.

W Judson Hervey1, Michael Brad Strader, Gregory B Hurst.   

Abstract

Standard biochemical techniques that are used for protein enrichments, such as affinity isolation and density gradient centrifugation, frequently yield high-nanogram to low-microgram quantities at a significant expenditure of resources and time. The characterization of selected protein enrichments by the "shotgun" mass spectrometry approach is often compromised by the lack of effective and efficient in-solution proteolysis protocols specifically tailored for these small quantities of proteins. This study compares the results of five different digestion protocols that were applied to 2.5 mug portions of protein isolates from two disparate sources: Rhodopseudomonas palustris 70S ribosomal proteins, and Bos taurus microtubule-associated proteins (MAPs). Proteolytic peptides produced according to each protocol in each type of protein isolate were analyzed by one-dimensional liquid chromatography-tandem mass spectrometry (LC-MS/MS). The effectiveness of each digestion protocol was assessed on the basis of three parameters: number of peptide identifications, number of protein identifications, and sequence coverage. The two protocols using a solvent containing 80% acetonitrile (CH3CN) for trypsin digestions performed as well as, and in some instances better than, protocols employing other solvents and chaotropes in both types of protein isolates. A primary advantage of the 80% CH3CN protocol is that it requires fewer sample manipulation steps.

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Year:  2007        PMID: 17616116     DOI: 10.1021/pr070159b

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


  13 in total

1.  A general protease digestion procedure for optimal protein sequence coverage and post-translational modifications analysis of recombinant glycoproteins: application to the characterization of human lysyl oxidase-like 2 glycosylation.

Authors:  Kathryn R Rebecchi; Eden P Go; Li Xu; Carrie L Woodin; Minae Mure; Heather Desaire
Journal:  Anal Chem       Date:  2011-10-27       Impact factor: 6.986

2.  A quantitative study of the effects of chaotropic agents, surfactants, and solvents on the digestion efficiency of human plasma proteins by trypsin.

Authors:  Jennifer L Proc; Michael A Kuzyk; Darryl B Hardie; Juncong Yang; Derek S Smith; Angela M Jackson; Carol E Parker; Christoph H Borchers
Journal:  J Proteome Res       Date:  2010-10-01       Impact factor: 4.466

Review 3.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

4.  Comprehensive analysis of protein digestion using six trypsins reveals the origin of trypsin as a significant source of variability in proteomics.

Authors:  Scott J Walmsley; Paul A Rudnick; Yuxue Liang; Qian Dong; Stephen E Stein; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2013-11-14       Impact factor: 4.466

5.  Identification of Phosphorylated Proteins on a Global Scale.

Authors:  Anton Iliuk
Journal:  Curr Protoc Chem Biol       Date:  2018-05-31

6.  Shotgun proteomics in neuroscience.

Authors:  Lujian Liao; Daniel B McClatchy; John R Yates
Journal:  Neuron       Date:  2009-07-16       Impact factor: 17.173

7.  Rapid sample processing for LC-MS-based quantitative proteomics using high intensity focused ultrasound.

Authors:  Daniel López-Ferrer; Tyler H Heibeck; Konstantinos Petritis; Kim K Hixson; Weijun Qian; Matthew E Monroe; Anoop Mayampurath; Ronald J Moore; Mikhail E Belov; David G Camp; Richard D Smith
Journal:  J Proteome Res       Date:  2008-08-08       Impact factor: 4.466

8.  Application of pressurized solvents for ultrafast trypsin hydrolysis in proteomics: proteomics on the fly.

Authors:  Daniel López-Ferrer; Konstantinos Petritis; Kim K Hixson; Tyler H Heibeck; Ronald J Moore; Mikhail E Belov; David G Camp; Richard D Smith
Journal:  J Proteome Res       Date:  2008-07-08       Impact factor: 4.466

9.  Evaluation and optimization of mass spectrometric settings during data-dependent acquisition mode: focus on LTQ-Orbitrap mass analyzers.

Authors:  Anastasia Kalli; Geoffrey T Smith; Michael J Sweredoski; Sonja Hess
Journal:  J Proteome Res       Date:  2013-05-31       Impact factor: 4.466

Review 10.  Proteomic challenges: sample preparation techniques for microgram-quantity protein analysis from biological samples.

Authors:  Peter Feist; Amanda B Hummon
Journal:  Int J Mol Sci       Date:  2015-02-05       Impact factor: 5.923

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