Protein Microarray Technology

  • Charlotte H. Clarke
  • Eric T. Fung
Part of the Springer Protocols Handbooks book series (SPH)

1. Introduction

Protein microarrays are increasingly utilized to better understand the expression patterns and function of proteins in various disease states. Additionally, their use in diagnostics holds great promise for applications in clinical medicine. The term “protein array” is used loosely to describe a technology founded on a number of classic protein assays that have been modified to function in a miniaturized environment with a common goal of enabling sensitive and reproducible, high throughput, multiplexed sample analysis. Similar to a gene array, a protein array is produced by immobilizing many (up to hundreds) of individual biomolecules in a defined pattern onto a solid surface for parallel analysis of samples in a high-throughput fashion. Generally, arrays consist of multiplexing on a planar surface, in contrast to multiplexing on beads, which is the basis for technologies such as xMAPê (Luminex). However, in contrast to DNA or RNA microarrays, the inherently diverse...


Protein Array Tissue Array Donor Block Recipient Block Antibody Microarrays 
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  1. 1.
    Chen G, Uttamchandani M, Lue R, Lesaicherre M, Yao S (2003). Array based technologies and their applications in proteomics. Current Topics Medicinal Chemistry 3:705–724CrossRefGoogle Scholar
  2. 2.
    Haab B, Zhou H (2004) Multiplexed protein analysis using spotted antibody microarrays. In: Fung E (ed) Methods in molecular biology: protein arrays: methods and protocols. Humana Press. Vol. 264:33–45Google Scholar
  3. 3.
    Hewitt S (2004) Design, construction, and use of tissue microarrays. In: Fung E (ed) methods in molecular biology: protein arrays: methods and protocols. Humana Press. Vol. 264:61–72Google Scholar
  4. 4.
    Fung E (ed) (2004) Methods in molecular biology, volume 264: protein arrays, methods and protocols. Humana PressGoogle Scholar
  5. 5.
    Uttamchandani M, Wang J, Yao S (2006) Protein and small molecule microarrays: powerful tools for high throughput proteomics. Mol Biosyst 2 (1):58–68PubMedCrossRefGoogle Scholar
  6. 6.
    Haab B (2006). Applications of antibody array platforms. Current Opinion Biotechnol 17 (4):415–421CrossRefGoogle Scholar
  7. 7.
    Gulmann C, Sheehan K, Kay E, Liotta L, Petricoin C (2006). Array based proteomics: mapping of protein circuitries for diagnostics, prognostics, and therapy guidance in cancer. J Pathol 208:595–606PubMedCrossRefGoogle Scholar
  8. 8.
    Lugli A, Zlobec I, Minoo P, Baker K, Tornillo L, Terracciano L, Jass J (2006). Role of the mitogen activated protein kinase and phosphoinositide 3- kinase/AKT pathways downstream molecules, phosphorylated extracellular signal – regulated kinase, and phosphorylated AKT in colorectal cancer–A tissue microarray based approach. Human Pathol 37:1022–1031CrossRefGoogle Scholar
  9. 9.
    Bowick G, Fennewald S, Scott E, Zhang L, Elsom B, Aronson J, Spratt H Luxon B, Gorenstein D, Herzog N (2006). Identification of differentially activated cell-signaling networks associated with pichinde virus pathogenesis using systems kinomics. J Virol. Published Online Dec. 6Google Scholar
  10. 10.
    Akkiprik M, Nicorici D, Cogdell D, Jia Y, Hategan A, Tabus I, Yli-Harja O, Yu D, Sahin A, Zhang W (2006). Dissection of signalling pathways in fourteen breast cancer cell lines using reverse-phase protein lysate microarray. Technol Cancer Res Treatment. 5 (6):543–551Google Scholar
  11. 11.
    Orchekowski R, Hamelinck D, Li L, Gliwa E, VanBrocklin M, Marrero J, Vande Woude G, Feng Z, Brand R, Haab B (2005). Antibody microarray profiling reveals individual and combined serum proteins associated with pancreatic cancer. Cancer Res; 65 (23):11193–11202PubMedCrossRefGoogle Scholar
  12. 12.
    Rolland P, Spendlove I, Madjid Z, Rakha E, Patel P, Ellis I, Durrant L (2006). The p53 positive Bcl-2 negative phenotype is an independent marker of prognosis in breast cancer. Int J Cancer Published Online Dec. 22Google Scholar
  13. 13.
    Zhang Z, Bast Jr, R, Yu Y, Li J, Sokoll L, Rai A, Rosenzweig J, Cameron B, Wang Y, Meng X, Berchuck A, van Haaften-Day C, Hacker N, de Bruijn H, van der Zee A, Jacobs I, Fung E, Chan D (2004). Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer. Cancer Res 64 (16):5882–5890PubMedCrossRefGoogle Scholar
  14. 14.
    Deinhofer K, Sevcik H, Balic N, Harwanegg C, Hiller R, Rumpold H, Mueller M, Spitzauer S (2004). Microarrayed allergens for IgE profiling. Methods 32: 249–254PubMedCrossRefGoogle Scholar
  15. 15.
    Cretich M, Damin F, Pirri G, Chiaria M (2006) Protein and peptide arrays: recent trends and new directions. Biomol Eng 23:77–88PubMedCrossRefGoogle Scholar

Copyright information

© Humana Press, a part of Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Charlotte H. Clarke
  • Eric T. Fung

There are no affiliations available

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