Literature DB >> 14595810

Methods and applications of antibody microarrays in cancer research.

Brian B Haab1.   

Abstract

Antibody microarrays have great potential for significant value in biological research. Cancer research in particular could benefit from the unique experimental capabilities of this technology. This article examines the current state of antibody microarray technological developments and assay formats, along with a review of the demonstrated applications to cancer research. Work is ongoing in the refinement of various aspects of the protocols and the development of robust methods for routine use. Antibody microarray experimental formats can be broadly categorized into two classes: (1) direct labeling experiments, and (2) dual antibody sandwich assays. In the direct labeling method, the covalent labeling of all proteins in a complex mixture provides a means for detecting bound proteins after incubation on an antibody microarray. If proteins are labeled with a tag, such as biotin, the signal from bound proteins can be amplified. In the sandwich assay, proteins captured on an antibody microarray are detected by a cocktail of detection antibodies, each antibody matched to one of the spotted antibodies. Each format has distinct advantages and disadvantages. Several applications of antibody arrays to cancer research have been reported, including the analysis of proteins in blood serum, resected frozen tumors, cell lines, and on membranes of blood cells. These demonstrations clearly show the utility of antibody microarrays for cancer research and signal the imminent expansion of this platform to many areas of biological research.

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Year:  2003        PMID: 14595810     DOI: 10.1002/pmic.200300595

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


  37 in total

1.  Conference report--protein microarrays in cancer and autoimmunity: tiny spots light up highlights of the ABRF 2004--integrating technologies in proteomics and genomics; February 28-March 2, 2004; Portland, Oregon.

Authors:  Sara M Mariani
Journal:  MedGenMed       Date:  2004-04-09

Review 2.  Designing a nano-interface in a microfluidic chip to probe living cells: challenges and perspectives.

Authors:  Brian P Helmke; Adrienne R Minerick
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-17       Impact factor: 11.205

3.  Comparison of hydroxylated print additives on antibody microarray performance.

Authors:  Peng Wu; David W Grainger
Journal:  J Proteome Res       Date:  2006-11       Impact factor: 4.466

4.  Experimental approach for assessing the outcome accuracy of antibody microarray experiments.

Authors:  Qiang Gu; Thamil Mani Sivanandam; Jessica Haymore
Journal:  J Proteome Res       Date:  2007-10-02       Impact factor: 4.466

5.  Label-Free Impedance Biosensors: Opportunities and Challenges.

Authors:  Jonathan S Daniels; Nader Pourmand
Journal:  Electroanalysis       Date:  2007-05-16       Impact factor: 3.223

6.  Evaluation of surface chemistries for antibody microarrays.

Authors:  Shannon L Seurynck-Servoss; Amanda M White; Cheryl L Baird; Karin D Rodland; Richard C Zangar
Journal:  Anal Biochem       Date:  2007-07-25       Impact factor: 3.365

7.  A Chemical Approach for Profiling Intracellular AKT Signaling Dynamics from Single Cells.

Authors:  Shiqun Shao; Zhonghan Li; Hanjun Cheng; Siwen Wang; Nicole G Perkins; Priyanka Sarkar; Wei Wei; Min Xue
Journal:  J Am Chem Soc       Date:  2018-10-12       Impact factor: 15.419

8.  The development of an integrated platform to identify breast cancer glycoproteome changes in human serum.

Authors:  Zhi Zeng; Marina Hincapie; Brian B Haab; Samir Hanash; Sharon J Pitteri; Steven Kluck; Jason M Hogan; Jacob Kennedy; William S Hancock
Journal:  J Chromatogr A       Date:  2009-09-16       Impact factor: 4.759

9.  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

10.  Proteomics: challenges, techniques and possibilities to overcome biological sample complexity.

Authors:  Kondethimmanahalli Chandramouli; Pei-Yuan Qian
Journal:  Hum Genomics Proteomics       Date:  2009-12-08
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