Gene Expression Profile Analysis by DNA Microarrays
Open Access
- 14 November 2001
- journal article
- toward optimal-laboratory-use
- Published by American Medical Association (AMA) in JAMA
- Vol. 286 (18) , 2280-2288
- https://doi.org/10.1001/jama.286.18.2280
Abstract
DNA microarrays represent a technological intersection between biology and computers that enables gene expression analysis in human tissues on a genome-wide scale. This application can be expected to prove extremely valuable for the study of the genetic basis of complex diseases. Despite the enormous promise of this revolutionary technology, there are several issues and possible pitfalls that may undermine the authority of the microarray platform. We discuss some of the conceptual, practical, statistical, and logistical issues surrounding the use of microarrays for gene expression profiling. These issues include the imprecise definition of normal in expression comparisons; the cellular and subcellular heterogeneity of the tissues being studied; the difficulty in establishing the statistically valid comparability of arrays; the logistical logjam in analysis, presentation, and archiving of the vast quantities of data generated; and the need for confirmational studies that address the functional relevance of findings. Although several complicated issues must be resolved, the potential payoff remains large.Keywords
This publication has 34 references indexed in Scilit:
- Detection of differentially expressed genes in human colon carcinoma cells treated with a selective COX-2 inhibitorOncogene, 2001
- Association between expression of theMRP3 gene and exposure to platinum drugs in lung cancerInternational Journal of Cancer, 2001
- Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networksNature Medicine, 2001
- Recursive partitioning for tumor classification with gene expression microarray dataProceedings of the National Academy of Sciences, 2001
- Recent advances in melanoma researchJournal of Dermatological Science, 2001
- The genetics of cancer—a 3D modelNature Genetics, 1999
- Barrett??s EsophagusThe Nurse Practitioner, 1998
- Loss of Heterozygosity in Normal Tissue Adjacent to Breast CarcinomasScience, 1996
- Expression monitoring by hybridization to high-density oligonucleotide arraysNature Biotechnology, 1996
- Differential Display of Eukaryotic Messenger RNA by Means of the Polymerase Chain ReactionScience, 1992