Literature DB >> 17552920

Plasma/serum proteomics: pre-analytical issues.

Stefano Barelli1, David Crettaz, Lynne Thadikkaran, Olivier Rubin, Jean-Daniel Tissot.   

Abstract

High-throughput proteomics technologies tend to provide highly sensitive information about living tissues and biological fluids. Analytes are characterized by intrinsic and extrinsic properties, the latter depending on each phase of their preparation, sometimes adding artifacts with crucial repercussions in result reliability and interpretation. This review aims to address some issues that can be encountered when handling plasma and serum in experimental and clinical proteomic settings.

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Year:  2007        PMID： 17552920     DOI： 10.1586/14789450.4.3.363

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN： 1478-9450            Impact factor:   3.940


  17 in total

Review 1.  Challenges for biomarker discovery in body fluids using SELDI-TOF-MS.

Authors:  Muriel De Bock; Dominique de Seny; Marie-Alice Meuwis; Jean-Paul Chapelle; Edouard Louis; Michel Malaise; Marie-Paule Merville; Marianne Fillet
Journal:  J Biomed Biotechnol       Date:  2009-12-06

2.  Impact of preanalytic factors on the design and application of integral biomarkers for directing patient therapy.

Authors:  Stephen M Hewitt; Sunil S Badve; Lawrence D True
Journal:  Clin Cancer Res       Date:  2012-03-15       Impact factor: 12.531

Review 3.  Blood-based biomarkers of Alzheimer's disease: challenging but feasible.

Authors:  Madhav Thambisetty; Simon Lovestone
Journal:  Biomark Med       Date:  2010-02       Impact factor: 2.851

Review 4.  Understanding preanalytical variables and their effects on clinical biomarkers of oncology and immunotherapy.

Authors:  Lokesh Agrawal; Kelly B Engel; Sarah R Greytak; Helen M Moore
Journal:  Semin Cancer Biol       Date:  2017-12-16       Impact factor: 15.707

5.  Comparative proteomic analysis of plasma proteins in patients with age-related macular degeneration.

Authors:  Xin-Rong Xu; Lu Zhong; Bing-Lin Huang; Yuan-Hua Wei; Xin Zhou; Ling Wang; Fu-Qiang Wang
Journal:  Int J Ophthalmol       Date:  2014-04-18       Impact factor: 1.779

6.  Neuro biomarker levels measured with high-sensitivity digital ELISA differ between serum and plasma.

Authors:  Grant C O'Connell; Megan L Alder; Allison R Webel; Shirley M Moore
Journal:  Bioanalysis       Date:  2019-11       Impact factor: 2.681

7.  Differences between human plasma and serum metabolite profiles.

Authors:  Zhonghao Yu; Gabi Kastenmüller; Ying He; Petra Belcredi; Gabriele Möller; Cornelia Prehn; Joaquim Mendes; Simone Wahl; Werner Roemisch-Margl; Uta Ceglarek; Alexey Polonikov; Norbert Dahmen; Holger Prokisch; Lu Xie; Yixue Li; H-Erich Wichmann; Annette Peters; Florian Kronenberg; Karsten Suhre; Jerzy Adamski; Thomas Illig; Rui Wang-Sattler
Journal:  PLoS One       Date:  2011-07-08       Impact factor: 3.240

8.  Effects of pre-analytical processes on blood samples used in metabolomics studies.

Authors:  Peiyuan Yin; Rainer Lehmann; Guowang Xu
Journal:  Anal Bioanal Chem       Date:  2015-03-04       Impact factor: 4.142

9.  An automated plasma protein fractionation design: high-throughput perspectives for proteomic analysis.

Authors:  Claudia Boccardi; Silvia Rocchiccioli; Antonella Cecchettini; Alberto Mercatanti; Lorenzo Citti
Journal:  BMC Res Notes       Date:  2012-11-01

10.  Multidimensional protein fractionation using ProteomeLab PF 2D for profiling amyotrophic lateral sclerosis immunity: A preliminary report.

Authors:  Joshua D Schlautman; Wojciech Rozek; Robert Stetler; R Lee Mosley; Howard E Gendelman; Pawel Ciborowski
Journal:  Proteome Sci       Date:  2008-09-12       Impact factor: 2.480
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