Literature DB >> 10722087

Signature-peptide approach to detecting proteins in complex mixtures.

M Geng1, J Ji, F E Regnier.   

Abstract

The objective of the work presented in this paper was to test the concept that tryptic peptides may be used as analytical surrogates of the protein from which they were derived. Proteins in complex mixtures were digested with trypsin and classes of peptide fragments selected by affinity chromatography, lectin columns were used in this case. Affinity selected peptide mixtures were directly transferred to a high-resolution reversed-phase chromatography column and further resolved into fractions that were collected and subjected to matrix-assisted laser desorption ionization (MALDI) mass spectrometry. The presence of specific proteins was determined by identification of signature peptides in the mass spectra. Data are also presented that suggest proteins may be quantified as their signature peptides by using isotopically labeled internal standards. Isotope ratios of peptides were determined by MALDI mass spectrometry and used to determine the concentration of a peptide relative to that of the labeled internal standard. Peptides in tryptic digests were labeled by acetylation with acetyl N-hydroxysuccinimide while internal standard peptides were labeled with the trideuteroacetylated analogue. Advantages of this approach are that (i) it is easier to separate peptides than proteins, (ii) native structure of the protein does not have to be maintained during the analysis, (iii) structural variants do not interfere and (iv) putative proteins suggested from DNA databases can be recognized by using a signature peptide probe.

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Year:  2000        PMID: 10722087     DOI: 10.1016/s0021-9673(99)00951-6

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  13 in total

1.  Automatic analysis of hydrogen/deuterium exchange mass spectra of peptides and proteins using calculations of isotopic distributions.

Authors:  M Palmblad; J Buijs; P Håkansson
Journal:  J Am Soc Mass Spectrom       Date:  2001-11       Impact factor: 3.109

2.  Toward a high-throughput approach to quantitative proteomic analysis: expression-dependent protein identification by mass spectrometry.

Authors:  T J Griffin; D K Han; S P Gygi; B Rist; H Lee; R Aebersold; K C Parker
Journal:  J Am Soc Mass Spectrom       Date:  2001-12       Impact factor: 3.109

3.  An automated method for the analysis of stable isotope labeling data in proteomics.

Authors:  Xiang Zhang; Wade Hines; Jiri Adamec; John M Asara; Stephen Naylor; Fred E Regnier
Journal:  J Am Soc Mass Spectrom       Date:  2005-07       Impact factor: 3.109

4.  Quantitative proteome analysis using D-labeled N-ethylmaleimide and 13C-labeled iodoacetanilide by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Authors:  Sadamu Kurono; Tamie Kurono; Naoka Komori; Satomi Niwayama; Hiroyuki Matsumoto
Journal:  Bioorg Med Chem       Date:  2006-10-16       Impact factor: 3.641

5.  Integration of 18O labeling and solution isoelectric focusing in a shotgun analysis of mitochondrial proteins.

Authors:  Jinshan Wang; Peter Gutierrez; Nathan Edwards; Catherine Fenselau
Journal:  J Proteome Res       Date:  2007-11-10       Impact factor: 4.466

6.  ZIC-cHILIC as a fractionation method for sensitive and powerful shotgun proteomics.

Authors:  Serena Di Palma; Shabaz Mohammed; Albert J R Heck
Journal:  Nat Protoc       Date:  2012-10-25       Impact factor: 13.491

Review 7.  Multi-dimensional liquid chromatography in proteomics--a review.

Authors:  Xiang Zhang; Aiqin Fang; Catherine P Riley; Mu Wang; Fred E Regnier; Charles Buck
Journal:  Anal Chim Acta       Date:  2010-02-06       Impact factor: 6.558

8.  Selective identification and quantitative analysis of methionine containing peptides by charge derivatization and tandem mass spectrometry.

Authors:  Gavin E Reid; Kade D Roberts; Richard J Simpson; Richard A J O'Hair
Journal:  J Am Soc Mass Spectrom       Date:  2005-07       Impact factor: 3.109

9.  Identification of phosphorylated and glycosylated sites in peptides by chemically targeted proteolysis.

Authors:  Felicia Rusnak; Jie Zhou; Gary M Hathaway
Journal:  J Biomol Tech       Date:  2002-12

10.  Evaluation of the ALiPHAT method for PC-IDMS and correlation of limits-of-detection with nonpolar surface area.

Authors:  D Keith Williams; Daniel L Comins; Jerry L Whitten; David C Muddiman
Journal:  J Am Soc Mass Spectrom       Date:  2009-08-07       Impact factor: 3.109

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