Literature DB >> 16052621

HUPO Plasma Proteome Project specimen collection and handling: towards the standardization of parameters for plasma proteome samples.

Alex J Rai1, Craig A Gelfand, Bruce C Haywood, David J Warunek, Jizu Yi, Mark D Schuchard, Richard J Mehigh, Steven L Cockrill, Graham B I Scott, Harald Tammen, Peter Schulz-Knappe, David W Speicher, Frank Vitzthum, Brian B Haab, Gerard Siest, Daniel W Chan.   

Abstract

There is a substantial list of pre-analytical variables that can alter the analysis of blood-derived samples. We have undertaken studies on some of these issues including choice of sample type, stability during storage, use of protease inhibitors, and clinical standardization. As there is a wide range of sample variables and a broad spectrum of analytical techniques in the HUPO PPP effort, it is not possible to define a single list of pre-analytical standards for samples or their processing. We present here a compendium of observations, drawing on actual results and sound clinical theories and practices. Based on our data, we find that (1) platelet-depleted plasma is preferable to serum for certain peptidomic studies; (2) samples should be aliquoted and stored preferably in liquid nitrogen; (3) the addition of protease inhibitors is recommended, but should be incorporated early and used judiciously, as some form non specific protein adducts and others interfere with peptide studies. Further, (4) the diligent tracking of pre-analytical variables and (5) the use of reference materials for quality control and quality assurance, are recommended. These findings help provide guidance on sample handling issues, with the overall suggestion being to be conscious of all possible pre-analytical variables as a prerequisite of any proteomic study.

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Year:  2005        PMID: 16052621     DOI: 10.1002/pmic.200401245

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  136 in total

1.  Investigation of the ovarian and prostate cancer peptidome for candidate early detection markers using a novel nanoparticle biomarker capture technology.

Authors:  Claudia Fredolini; Francesco Meani; Alessandra Luchini; Weidong Zhou; Paul Russo; Mark Ross; Alexis Patanarut; Davide Tamburro; Guido Gambara; David Ornstein; Franco Odicino; Monica Ragnoli; Antonella Ravaggi; Francesco Novelli; Devis Collura; Leonardo D'Urso; Giovanni Muto; Claudio Belluco; Sergio Pecorelli; Lance Liotta; Emanuel F Petricoin
Journal:  AAPS J       Date:  2010-06-12       Impact factor: 4.009

2.  Optimizing a proteomics platform for urine biomarker discovery.

Authors:  Maryam Afkarian; Manoj Bhasin; Simon T Dillon; Manuel C Guerrero; Robert G Nelson; William C Knowler; Ravi Thadhani; Towia A Libermann
Journal:  Mol Cell Proteomics       Date:  2010-05-28       Impact factor: 5.911

3.  A proteomic approach for plasma biomarker discovery with 8-plex iTRAQ labeling and SCX-LC-MS/MS.

Authors:  Haige Ye; Li Sun; Xiaojun Huang; Ping Zhang; Xiaoshu Zhao
Journal:  Mol Cell Biochem       Date:  2010-06-05       Impact factor: 3.396

4.  Standardizing the structure of stroke clinical and epidemiologic research data: the National Institute of Neurological Disorders and Stroke (NINDS) Stroke Common Data Element (CDE) project.

Authors:  Jeffrey L Saver; Steven Warach; Scott Janis; Joanne Odenkirchen; Kyra Becker; Oscar Benavente; Joseph Broderick; Alexander W Dromerick; Pamela Duncan; Mitchell S V Elkind; Karen Johnston; Chelsea S Kidwell; James F Meschia; Lee Schwamm
Journal:  Stroke       Date:  2012-02-02       Impact factor: 7.914

Review 5.  Proteomic approaches to dissect platelet function: Half the story.

Authors:  Dmitri V Gnatenko; Peter L Perrotta; Wadie F Bahou
Journal:  Blood       Date:  2006-08-22       Impact factor: 22.113

6.  Standard operating procedures for serum and plasma collection: early detection research network consensus statement standard operating procedure integration working group.

Authors:  Melissa K Tuck; Daniel W Chan; David Chia; Andrew K Godwin; William E Grizzle; Karl E Krueger; William Rom; Martin Sanda; Lynn Sorbara; Sanford Stass; Wendy Wang; Dean E Brenner
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

7.  Mass spectrometry in cancer biomarker research: a case for immunodepletion of abundant blood-derived proteins from clinical tissue specimens.

Authors:  Darue A Prieto; Donald J Johann; Bih-Rong Wei; Xiaoying Ye; King C Chan; Dwight V Nissley; R Mark Simpson; Deborah E Citrin; Crystal L Mackall; W Marston Linehan; Josip Blonder
Journal:  Biomark Med       Date:  2014       Impact factor: 2.851

8.  Evaluating the effects of preanalytical variables on the stability of the human plasma proteome.

Authors:  Maria E Hassis; Richard K Niles; Miles N Braten; Matthew E Albertolle; H Ewa Witkowska; Carl A Hubel; Susan J Fisher; Katherine E Williams
Journal:  Anal Biochem       Date:  2015-03-10       Impact factor: 3.365

9.  Analytical validation of serum proteomic profiling for diagnosis of prostate cancer: sources of sample bias.

Authors:  Dale McLerran; William E Grizzle; Ziding Feng; William L Bigbee; Lionel L Banez; Lisa H Cazares; Daniel W Chan; Jose Diaz; Elzbieta Izbicka; Jacob Kagan; David E Malehorn; Gunjan Malik; Denise Oelschlager; Alan Partin; Timothy Randolph; Nicole Rosenzweig; Shiv Srivastava; Sudhir Srivastava; Ian M Thompson; Mark Thornquist; Dean Troyer; Yutaka Yasui; Zhen Zhang; Liu Zhu; O John Semmes
Journal:  Clin Chem       Date:  2007-11-02       Impact factor: 8.327

10.  Plasma Proteome Signature of Sepsis: a Functionally Connected Protein Network.

Authors:  Genaro Pimienta; Douglas M Heithoff; Alexandre Rosa-Campos; Minerva Tran; Jeffrey D Esko; Michael J Mahan; Jamey D Marth; Jeffrey W Smith
Journal:  Proteomics       Date:  2019-02-20       Impact factor: 3.984

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