Literature DB >> 16464159

Prerequisites for peptidomic analysis of blood samples: I. Evaluation of blood specimen qualities and determination of technical performance characteristics.

Harald Tammen1, Imke Schulte, Rüdiger Hess, Christoph Menzel, Markus Kellmann, Peter Schulz-Knappe.   

Abstract

Proteomics studies aiming at a detailed analysis of proteins, and peptidomics, aiming at the analysis of the low molecular weight proteome (peptidome) offer a promising approach to discover novel biomarkers valuable for different crucial steps in detection, prevention and treatment of disease. Much emphasis has been given to the analysis of blood, since this source would by far offer the largest number of meaningful biomarker applications. Blood is a complex liquid tissue that comprises cells and extra-cellular fluid. The choice of suitable specimen collection is crucial to minimize artificial occurring processes during specimen collection and preparation (e.g. cell lysis, proteolysis). After specimen collection, sample preparation for peptidomics is carried out by physical methods (filtration, gel-chromatography, precipitation) which allow for separation based on molecular size, with and without immunodepletion of major abundant proteins. Differential Peptide Display (DPD) is an offline-coupled combination of Reversed-Phase-HPLC and MALDI mass spectrometry in combination with in-house developed data display and analysis tools. Identifications of peptides are carried out by additional mass spectrometric methods (e.g. online LC-ESI-MS/MS). In the work presented here, insights into semi-quantitative mass spectrometric profiling of plasma peptides by DPD are given. This includes proper specimen selection (plasma vs. serum), sample preparation, especially peptide extraction, the determination of sensitivity (i.e. by establishing detection limits of exogenously spiked peptides), the reproducibility for individual as well as for all peptides (Coefficient of Variation calculations) and quantification (correlation between signal intensity and concentration). Finally, the implications for clinical peptidomics are discussed.

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Year:  2005        PMID: 16464159     DOI: 10.2174/138620705774962508

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  5 in total

1.  Endogenous plasma Peptide detection and identification in the rat by a combination of fractionation methods and mass spectrometry.

Authors:  Fabrice Bertile; Flavie Robert; Véronique Delval-Dubois; Sarah Sanglier; Christine Schaeffer; Alain Van Dorsselaer
Journal:  Biomark Insights       Date:  2007-10-09

2.  A novel approach for characterizing variations in serum peptides in rheumatic heart disease.

Authors:  Xiaochen Wu; Qin Yue; Weikun Jia; Jinbao Zhang; Hui Ouyang; Dong Xin; Yingbin Xiao
Journal:  Indian J Med Res       Date:  2017-03       Impact factor: 2.375

3.  Modelling biological age based on plasma peptides in Han Chinese adults.

Authors:  Weijie Cao; Deqiang Zheng; Guohua Wang; Jie Zhang; Siqi Ge; Manjot Singh; Hao Wang; Manshu Song; Dong Li; Wei Wang; Xizhu Xu; Youxin Wang
Journal:  Aging (Albany NY)       Date:  2020-06-05       Impact factor: 5.682

Review 4.  Human blood plasma preparation for two-dimensional gel electrophoresis.

Authors:  Mi-Ryung Kim; Chan-Wha Kim
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2006-12-15       Impact factor: 3.205

5.  Comparing the MicroRNA spectrum between serum and plasma.

Authors:  Kai Wang; Yue Yuan; Ji-Hoon Cho; Sara McClarty; David Baxter; David J Galas
Journal:  PLoS One       Date:  2012-07-31       Impact factor: 3.240

  5 in total

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