A Primer on the Current State of Microarray Technologies

  • Alexander J. Trachtenberg
  • Jae-Hyung Robert
  • Azza E. Abdalla
  • Andrew Fraser
  • Steven Y. He
  • Jessica N. Lacy
  • Chiara Rivas-Morello
  • Allison Truong
  • Gary Hardiman
  • Lucila Ohno-Machado
  • Fang Liu
  • Eivind Hovig
  • Winston Patrick KuoEmail author
Part of the Methods in Molecular Biology book series (MIMB, volume 802)


DNA microarray technology has been used for genome-wide gene expression studies that incorporate molecular genetics and computer science analyses on massive levels. The availability of microarrays permit the simultaneous analysis of tens of thousands of genes for the purposes of gene discovery, disease diagnosis, improved drug development, and therapeutics tailored to specific disease processes. In this chapter, we provide an overview on the current state of common microarray technologies and platforms. Since many genes contribute to normal functioning, research efforts are moving from the search for a disease-specific gene to the understanding of the biochemical and molecular functioning of a variety of genes whose disrupted interaction in complicated networks can lead to a disease state. The field of microarrays has evolved over the past decade and is now standardized with a high level of quality control, while providing a relatively inexpensive and reliable alternative to studying various aspects of gene expression.

Key words

Microarrays Gene expression One dye Two dye High throughput QRT-PCR Cross platform 



This work was conducted with support from Harvard Catalyst – The Harvard Clinical and Translational Science Center (NIH Award #UL1 RR 025758 and financial contributions from Harvard University and its affiliated academic health care centers). The content is solely the responsibility of the authors and does not necessarily represent the official views of Harvard Catalyst, Harvard University and its affiliated academic health care centers, the National Center for Research Resources, or the National Institutes of Health.

Alexander J. Trachtenberg and Jae-Hyung Robert Chang contributed equally to this work.


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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Alexander J. Trachtenberg
    • 1
  • Jae-Hyung Robert
    • 2
  • Azza E. Abdalla
    • 3
  • Andrew Fraser
    • 4
  • Steven Y. He
    • 5
  • Jessica N. Lacy
    • 1
  • Chiara Rivas-Morello
    • 1
  • Allison Truong
    • 6
  • Gary Hardiman
    • 4
  • Lucila Ohno-Machado
    • 7
  • Fang Liu
    • 8
    • 9
  • Eivind Hovig
    • 10
  • Winston Patrick Kuo
    • 1
    • 2
    Email author
  1. 1.Harvard Catalyst – Laboratory for Innovative Translational TechnologiesHarvard Medical SchoolBostonUSA
  2. 2.Department of Developmental BiologyHarvard School of Dental MedicineBostonUSA
  3. 3.Department of BiologyUniversity of South CarolinaColumbiaUSA
  4. 4.Department of Allergy and InflammationBIDMCBostonUSA
  5. 5.Department of MedicineUniversity of California San DiegoSan DiegoUSA
  6. 6.Department of BiologyUniversity of California Los AngelesLos AngelesUSA
  7. 7.Division of Biomedical InformaticsUniversity of California San DiegoSan DiegoUSA
  8. 8.Department of Tumor BiologyInstitute for Cancer Research, Norwegian Radium HospitalMontebelloNorway
  9. 9.PubGene ASVinderenNorway
  10. 10.Departments of Tumor Biology and Medical InformaticsInstitute for Cancer Research, Norwegian Radium HospitalMontebelloNorway

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