Abstract:
BACKGROUND:Non-small cell lung cancer (NSCLC) is the leading cause of cancer mortality worldwide. At present no reliable biomarkers are available to guide the management of this condition. Microarray technology may allow appropriate biomarkers to be identified but present platforms are lacking disease focus and are thus likely to miss potentially vital information contained in patient tissue samples. METHODS:A combination of large-scale in-house sequencing, gene expression profiling and public sequence and gene expression data mining were used to characterise the transcriptome of NSCLC and the data used to generate a disease-focused microarray - the Lung Cancer DSA research tool. RESULTS:Built on the Affymetrix GeneChip platform, the Lung Cancer DSA research tool allows for interrogation of ~60,000 transcripts relevant to Lung Cancer, tens of thousands of which are unavailable on leading commercial microarrays. CONCLUSION:We have developed the first high-density disease specific transcriptome microarray. We present the array design process and the results of experiments carried out to demonstrate the array's utility. This approach serves as a template for the development of other disease transcriptome microarrays, including non-neoplastic diseases.
journal_name
BMC Med Genomicsjournal_title
BMC medical genomicsauthors
Tanney A,Oliver GR,Farztdinov V,Kennedy RD,Mulligan JM,Fulton CE,Farragher SM,Field JK,Johnston PG,Harkin DP,Proutski V,Mulligan KAdoi
10.1186/1755-8794-1-20subject
Has Abstractpub_date
2008-05-30 00:00:00pages
20issn
1755-8794pii
1755-8794-1-20journal_volume
1pub_type
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