Literature DB >> 15843205

Optimization and evaluation of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) with reversed-phase protein arrays for protein profiling.

Manuel Aivado1, Dimitrios Spentzos, Gil Alterovitz, Hasan H Otu, Franck Grall, Aristoteles A N Giagounidis, Meghan Wells, Je-Yoel Cho, Ulrich Germing, Akos Czibere, Wolf C Prall, Chris Porter, Marco F Ramoni, Towia A Libermann.   

Abstract

Surface-enhanced laser desorption/ionization (SELDI) time-of-flight mass spectrometry with protein arrays has facilitated the discovery of disease-specific protein profiles in serum. Such results raise hopes that protein profiles may become a powerful diagnostic tool. To this end, reliable and reproducible protein profiles need to be generated from many samples, accurate mass peak heights are necessary, and the experimental variation of the profiles must be known. We adapted the entire processing of protein arrays to a robotics system, thus improving the intra-assay coefficients of variation (CVs) from 45.1% to 27.8% (p<0.001). In addition, we assessed up to 16 technical replicates, and demonstrated that analysis of 2-4 replicates significantly increases the reliability of the protein profiles. A recent report on limited long-term reproducibility seemed to concord with our initial inter-assay CVs, which varied widely and reached up to 56.7%. However, we discovered that the inter-assay CV is strongly dependent on the drying time before application of the matrix molecule. Therefore, we devised a standardized drying process and demonstrated that our optimized SELDI procedure generates reliable and long-term reproducible protein profiles with CVs ranging from 25.7% to 32.6%, depending on the signal-to-noise ratio threshold used.

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Year:  2005        PMID: 15843205     DOI: 10.1515/CCLM.2005.022

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  8 in total

1.  SELDI-TOF MS of quadruplicate urine and serum samples to evaluate changes related to storage conditions.

Authors:  Avram Z Traum; Meghan P Wells; Manuel Aivado; Towia A Libermann; Marco F Ramoni; Asher D Schachter
Journal:  Proteomics       Date:  2006-03       Impact factor: 3.984

2.  Serum proteome profiling detects myelodysplastic syndromes and identifies CXC chemokine ligands 4 and 7 as markers for advanced disease.

Authors:  Manuel Aivado; Dimitrios Spentzos; Ulrich Germing; Gil Alterovitz; Xiao-Ying Meng; Franck Grall; Aristoteles A N Giagounidis; Giannoula Klement; Ulrich Steidl; Hasan H Otu; Akos Czibere; Wolf C Prall; Christof Iking-Konert; Michelle Shayne; Marco F Ramoni; Norbert Gattermann; Rainer Haas; Constantine S Mitsiades; Eric T Fung; Towia A Libermann
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-12       Impact factor: 11.205

3.  Proteomic identification of interleukin-2 therapy response in metastatic renal cell cancer.

Authors:  Jon Jones; Hasan H Otu; Franck Grall; Dimitrios Spentzos; Handan Can; Manuel Aivado; Arie S Belldegrun; Allan J Pantuck; Towia A Libermann
Journal:  J Urol       Date:  2007-12-20       Impact factor: 7.450

Review 4.  Evaluation of the Molecular Mechanisms of Sepsis Using Proteomics.

Authors:  He Miao; Song Chen; Renyu Ding
Journal:  Front Immunol       Date:  2021-10-21       Impact factor: 7.561

5.  Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.

Authors:  David A Cairns; David N Perkins; Anthea J Stanley; Douglas Thompson; Jennifer H Barrett; Peter J Selby; Rosamonde E Banks
Journal:  BMC Bioinformatics       Date:  2008-12-04       Impact factor: 3.169

6.  Application of multiple statistical tests to enhance mass spectrometry-based biomarker discovery.

Authors:  Niclas C Tan; Wayne G Fisher; Kevin P Rosenblatt; Harold R Garner
Journal:  BMC Bioinformatics       Date:  2009-05-14       Impact factor: 3.169

7.  Laboratory methods to improve SELDI peak detection and quantitation.

Authors:  Dominique Rollin; Toni Whistler; Suzanne D Vernon
Journal:  Proteome Sci       Date:  2007-07-02       Impact factor: 2.480

8.  A method for improving SELDI-TOF mass spectrometry data quality.

Authors:  Toni Whistler; Dominique Rollin; Suzanne D Vernon
Journal:  Proteome Sci       Date:  2007-09-05       Impact factor: 2.480

  8 in total

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