Literature DB >> 15782547

Protein microarrays: applications and future challenges.

Dieter Stoll1, Markus F Templin, Jutta Bachmann, Thomas O Joos.   

Abstract

Within the last decade protein microarray technology has been successfully applied for the simultaneous identification, quantification and functional analysis of proteins in basic and applied proteome research. These miniaturized and parallelized assay systems have the potential to replace state-of-the-art singleplex analysis systems. However, prior to their general application in robust, reliable, routine and high-throughput applications it is mandatory that they demonstrate robustness, sensitivity, automation and appropriate pricing. In this review, the current state of protein microarray technology will be summarized. Recent applications for the simultaneous determination of a variety of parameters using only minute amounts of sample will be described and future challenges of this cutting-edge technology will be discussed.

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Year:  2005        PMID: 15782547

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  17 in total

Review 1.  [Microarray technique for component resolved diagnosis (CRD) in type-I allergies. An innovative technology at the border between research tool and routine diagnostics].

Authors:  L Klimek; D Vetter; L von Bernus; C Thorn
Journal:  HNO       Date:  2011-10       Impact factor: 1.284

2.  Use of miniaturized protein arrays for Escherichia coli O serotyping.

Authors:  Muna F Anjum; James D Tucker; Katherine A Sprigings; Martin J Woodward; Ralf Ehricht
Journal:  Clin Vaccine Immunol       Date:  2006-05

Review 3.  The development and characterization of protein-based stationary phases for studying drug-protein and protein-protein interactions.

Authors:  Mitesh Sanghvi; Ruin Moaddel; Irving W Wainer
Journal:  J Chromatogr A       Date:  2011-05-27       Impact factor: 4.759

4.  Nonvolatile copolymer compositions for fabricating gel element microarrays.

Authors:  Julia B Golova; Boris K Chernov; Alexander N Perov; Jennifer Reynolds; Yvonne L Linger; Alexander Kukhtin; Darrell P Chandler
Journal:  Anal Biochem       Date:  2011-10-05       Impact factor: 3.365

5.  Using graph theory to analyze biological networks.

Authors:  Georgios A Pavlopoulos; Maria Secrier; Charalampos N Moschopoulos; Theodoros G Soldatos; Sophia Kossida; Jan Aerts; Reinhard Schneider; Pantelis G Bagos
Journal:  BioData Min       Date:  2011-04-28       Impact factor: 2.522

6.  Which clustering algorithm is better for predicting protein complexes?

Authors:  Charalampos N Moschopoulos; Georgios A Pavlopoulos; Ernesto Iacucci; Jan Aerts; Spiridon Likothanassis; Reinhard Schneider; Sophia Kossida
Journal:  BMC Res Notes       Date:  2011-12-20

Review 7.  Chemical microarray: a new tool for drug screening and discovery.

Authors:  Haiching Ma; Kurumi Y Horiuchi
Journal:  Drug Discov Today       Date:  2006-07       Impact factor: 7.851

8.  ReLiance: a machine learning and literature-based prioritization of receptor--ligand pairings.

Authors:  Ernesto Iacucci; Léon-Charles Tranchevent; Dusan Popovic; Georgios A Pavlopoulos; Bart De Moor; Reinhard Schneider; Yves Moreau
Journal:  Bioinformatics       Date:  2012-09-15       Impact factor: 6.937

9.  Systems level modeling of the cell cycle using budding yeast.

Authors:  B P Ingalls; B P Duncker; D R Kim; B J McConkey
Journal:  Cancer Inform       Date:  2007-12-11

10.  GIBA: a clustering tool for detecting protein complexes.

Authors:  Charalampos N Moschopoulos; Georgios A Pavlopoulos; Reinhard Schneider; Spiridon D Likothanassis; Sophia Kossida
Journal:  BMC Bioinformatics       Date:  2009-06-16       Impact factor: 3.169

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