Literature DB >> 16772279

Enhanced sequence coverage of proteins in human cerebrospinal fluid using multiple enzymatic digestion and linear ion trap LC-MS/MS.

Roger G Biringer1, Heidi Amato, Michael G Harrington, Alfred N Fonteh, James N Riggins, Andreas F R Hühmer.   

Abstract

The cerebrospinal fluid (CSF) provides a ready access into the health state of the central nervous system, and alterations in some CSF proteins have been documented in brain disease. However, the complete variety of proteins is not known and methods to identify protein components are still being developed. The goal of this study was to examine the sequence coverage obtained from human CSF digests produced with different proteases. Enzymatic digests of CSF proteins were obtained with arginine-C endopeptidase (ArgC), glutamic acid endopeptidase (GluC), chymotrypsin, trypsin and their combinations, and then examined using reverse phase chromatography and a Finnigan LTQ linear ion trap mass spectrometer. Peptide sequences were identified with BioWorks 3.1 and sequence coverage calculated for the 38 most confidently identified proteins. Trypsin and GluC yielded greater coverage than chymotrypsin, while ArgC had the least sequence coverage. Protein sequence coverage was affected only slightly over four orders of magnitude dynamic range of abundance. Combining the peptides derived from different proteases further increased the coverage. Maximal sequence coverage was achieved by combining digest results from both GluC and trypsin. These results have implications for future studies to identify CSF proteins and their post-translational modifications.

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Year:  2006        PMID: 16772279     DOI: 10.1093/bfgp/ell026

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  23 in total

1.  Increasing phosphoproteomic coverage through sequential digestion by complementary proteases.

Authors:  Jason M Gilmore; Arminja N Kettenbach; Scott A Gerber
Journal:  Anal Bioanal Chem       Date:  2011-10-15       Impact factor: 4.142

2.  Predicting protein post-translational modifications using meta-analysis of proteome scale data sets.

Authors:  Daniel Schwartz; Michael F Chou; George M Church
Journal:  Mol Cell Proteomics       Date:  2008-10-28       Impact factor: 5.911

Review 3.  Peptide identification by tandem mass spectrometry with alternate fragmentation modes.

Authors:  Adrian Guthals; Nuno Bandeira
Journal:  Mol Cell Proteomics       Date:  2012-05-17       Impact factor: 5.911

4.  Confetti: a multiprotease map of the HeLa proteome for comprehensive proteomics.

Authors:  Xiaofeng Guo; David C Trudgian; Andrew Lemoff; Sivaramakrishna Yadavalli; Hamid Mirzaei
Journal:  Mol Cell Proteomics       Date:  2014-04-02       Impact factor: 5.911

5.  Cerebrospinal Fluid Proteins as Regulators of Beta-amyloid Aggregation and Toxicity.

Authors:  Kayla M Pate; Regina M Murphy
Journal:  Isr J Chem       Date:  2017-01-18       Impact factor: 3.333

6.  Value of using multiple proteases for large-scale mass spectrometry-based proteomics.

Authors:  Danielle L Swaney; Craig D Wenger; Joshua J Coon
Journal:  J Proteome Res       Date:  2010-03-05       Impact factor: 4.466

7.  Pressure-assisted sample preparation for proteomic analysis.

Authors:  Pawel P Olszowy; Ariel Burns; Pawel S Ciborowski
Journal:  Anal Biochem       Date:  2013-03-29       Impact factor: 3.365

8.  Site-selective glycosylation of hemoglobin on Cys beta93.

Authors:  Yalong Zhang; Veer S Bhatt; Guoyong Sun; Peng G Wang; Andre F Palmer
Journal:  Bioconjug Chem       Date:  2008-11-19       Impact factor: 4.774

9.  Extracellular chaperones modulate the effects of Alzheimer's patient cerebrospinal fluid on Abeta(1-42) toxicity and uptake.

Authors:  Justin J Yerbury; Mark R Wilson
Journal:  Cell Stress Chaperones       Date:  2009-05-27       Impact factor: 3.667

Review 10.  Common errors in mass spectrometry-based analysis of post-translational modifications.

Authors:  Min-Sik Kim; Jun Zhong; Akhilesh Pandey
Journal:  Proteomics       Date:  2016-03       Impact factor: 3.984

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