Literature DB >> 17474144

Antibody microarray-based profiling of complex specimens: systematic evaluation of labeling strategies.

Wlad Kusnezow1, Virryan Banzon, Christoph Schröder, René Schaal, Jörg D Hoheisel, Sven Rüffer, Petra Luft, Albert Duschl, Yana V Syagailo.   

Abstract

Antibody microarrays have often had limited success in detection of low abundant proteins in complex specimens. Signal amplification systems improve this situation, but still are quite laborious and expensive. However, the issue of sensitivity is more likely a matter of kinetically appropriate microarray design as demonstrated previously. Hence, we re-examined in this study the suitability of simple and inexpensive detection approaches for highly sensitive antibody microarray analysis. N-hydroxysuccinimidyl ester (NHS)- and Universal Linkage System (ULS)-based fluorescein and biotin labels used as tags for subsequent detection with anti-fluorescein and extravidin, respectively, as well as fluorescent dyes were applied for analysis of blood plasma. Parameters modifying strongly the performance of microarray detection such as labeling conditions, incubation time, concentrations of anti-fluorescein and extravidin and extent of protein labeling were analyzed and optimized in this study. Indirect detection strategies whether based on NHS- or ULS-chemistries strongly outperformed direct fluorescent labeling and enabled detection of low abundant cytokines with many dozen-fold signal-to-noise ratios. Finally, particularly sensitive detection chemistry was applied to monitoring cytokine production of stimulated peripheral T cells. Microarray data were in accord with quantitative cytokine levels measured by ELISA and Luminex, demonstrating comparable reliability and femtomolar range sensitivity of the established microarray approach.

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Year:  2007        PMID: 17474144     DOI: 10.1002/pmic.200600762

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


  14 in total

1.  Proteomics-based dissection of human endoderm progenitors by differential cell capture on antibody array.

Authors:  Revital Sharivkin; Michael D Walker; Yoav Soen
Journal:  Mol Cell Proteomics       Date:  2012-05-10       Impact factor: 5.911

Review 2.  Dissecting protein function and signaling using protein microarrays.

Authors:  Alejandro Wolf-Yadlin; Mark Sevecka; Gavin MacBeath
Journal:  Curr Opin Chem Biol       Date:  2009-08-05       Impact factor: 8.822

Review 3.  New technologies in cancer. Protein microarrays for biomarker discovery.

Authors:  Sergio Matarraz; María González-González; María Jara; Alberto Orfao; Manuel Fuentes
Journal:  Clin Transl Oncol       Date:  2011-03       Impact factor: 3.405

4.  Applications of protein microarrays for biomarker discovery.

Authors:  Niroshan Ramachandran; Sanjeeva Srivastava; Joshua Labaer
Journal:  Proteomics Clin Appl       Date:  2008-09-10       Impact factor: 3.494

5.  Dual-color proteomic profiling of complex samples with a microarray of 810 cancer-related antibodies.

Authors:  Christoph Schröder; Anette Jacob; Sarah Tonack; Tomasz P Radon; Martin Sill; Manuela Zucknick; Sven Rüffer; Eithne Costello; John P Neoptolemos; Tatjana Crnogorac-Jurcevic; Andrea Bauer; Kurt Fellenberg; Jörg D Hoheisel
Journal:  Mol Cell Proteomics       Date:  2010-02-16       Impact factor: 5.911

6.  Oncoproteomic profiling with antibody microarrays.

Authors:  Mohamed Ss Alhamdani; Christoph Schröder; Jörg D Hoheisel
Journal:  Genome Med       Date:  2009-07-06       Impact factor: 11.117

7.  Assessment and optimisation of normalisation methods for dual-colour antibody microarrays.

Authors:  Martin Sill; Christoph Schröder; Jörg D Hoheisel; Axel Benner; Manuela Zucknick
Journal:  BMC Bioinformatics       Date:  2010-11-12       Impact factor: 3.169

Review 8.  Protein microarrays: novel developments and applications.

Authors:  Luis Berrade; Angie E Garcia; Julio A Camarero
Journal:  Pharm Res       Date:  2010-11-30       Impact factor: 4.200

9.  A semi-nonparametric mixture model for selecting functionally consistent proteins.

Authors:  Lianbo Yu; Rw Doerge
Journal:  BMC Bioinformatics       Date:  2010-09-28       Impact factor: 3.169

10.  Proteomic analysis and discovery using affinity proteomics and mass spectrometry.

Authors:  Niclas Olsson; Christer Wingren; Mikael Mattsson; Peter James; David O'Connell; Fredrik Nilsson; Dolores J Cahill; Carl A K Borrebaeck
Journal:  Mol Cell Proteomics       Date:  2011-06-14       Impact factor: 5.911

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