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Evaluation of low density array technology for quantitative parallel measurement of multiple genes in human tissue

BACKGROUND: Low density arrays (LDAs) have recently been introduced as a novel approach to gene expression profiling. Based on real time quantitative RT-PCR (QRT-PCR), these arrays enable a more focused and sensitive approach to the study of gene expression than gene chips, while offering higher thr...

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Detalles Bibliográficos
Autores principales: Goulter, Andrew B, Harmer, Daniel W, Clark, Kenneth L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1403755/
https://www.ncbi.nlm.nih.gov/pubmed/16504128
http://dx.doi.org/10.1186/1471-2164-7-34
Descripción
Sumario:BACKGROUND: Low density arrays (LDAs) have recently been introduced as a novel approach to gene expression profiling. Based on real time quantitative RT-PCR (QRT-PCR), these arrays enable a more focused and sensitive approach to the study of gene expression than gene chips, while offering higher throughput than more established approaches to QRT-PCR. We have now evaluated LDAs as a means of determining the expression of multiple genes simultaneously in human tissues and cells. RESULTS: Comparisons between LDAs reveal low variability, with correlation coefficients close to 1. By performing 2-fold and 10-fold serial dilutions of cDNA samples in the LDAs we determined a clear linear relationship between the gene expression data points over 5 orders of magnitude. We also showed that it is possible to use LDAs to accurately and quantitatively detect 2-fold changes in target copy number as well as measuring genes that are expressed with low and high copy numbers in the range of 1 × 10(2 )– 1 × 10(6 )copies. Furthermore, the data generated by the LDA from a cell based pharmacological study were comparable to data generated by conventional QRT-PCR. CONCLUSION: LDAs represent a valuable new approach for sensitive and quantitative gene expression profiling.