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PMID: 15952881 Published · ppublish English Journal Article Review

Applications of DNA microarrays in biology.

Annual review of biochemistry ·Vol. 74 ·2005-00-00 ·Pages 53-82

Stoughton RB

Abstract

DNA microarrays have enabled biology researchers to conduct large-scale quantitative experiments. This capacity has produced qualitative changes in the breadth of hypotheses that can be explored. In what has become the dominant mode of use, changes in the transcription rate of nearly all the genes in a genome, taking place in a particular tissue or cell type, can be measured in disease states, during development, and in response to intentional experimental perturbations, such as gene disruptions and drug treatments. The response patterns have helped illuminate mechanisms of disease and identify disease subphenotypes, predict disease progression, assign function to previously unannotated genes, group genes into functional pathways, and predict activities of new compounds. Directed at the genome sequence itself, microarrays have been used to identify novel genes, binding sites of transcription factors, changes in DNA copy number, and variations from a baseline sequence, such as in emerging strains of pathogens or complex mutations in disease-causing human genes. They also serve as a general demultiplexing tool to sort spatially the sequence-tagged products of highly parallel reactions performed in solution. A brief review of microarray platform technology options, and of the process steps involved in complete experiment workflows, is included.

MeSH Terms
Animals Gene Expression Profiling/methods Genomics Genotype Humans Microbiological Techniques Oligonucleotide Array Sequence Analysis/methods,statistics & numerical data,trends Transcription, Genetic
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Stoughton Roland B
GHC Technologies, Incorporated, La Jolla, California 92037, USA. [email protected]
Article Info
Journal
Annual review of biochemistry
Abbr.
Annu Rev Biochem
ISSN
0066-4154
Published
2005-00-00
Pages
53-82
Language
English
Region
United States
NLM ID
2985150R
Subset
IM
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