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Transcription profiling of human lung squamous cell carcinoma tissue and adjacent normal lung tissue on a disease-focused microarray

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https://www.omicsdi.org/dataset/biostudies-other/S-ECPF-TABM-387
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Due to increasing evidence of the complexity of the transcriptome, we have, through a combination of cDNA sequencing, gene expression profiling and public sequence data mining, characterized the transcriptome of Non-Small Cell Lung Carcinoma. We used this information to create a unique disease focused microarray capable of measuring ~60,000 individual transcripts, many of which are undetectable on standard microarrays. Expression profiling demonstrated significant detection of the additional unique/novel transcriptome content. In this technical assessment experiment, one patient sample was profiled. Frozen pairs of lung squamous cell carcinoma and adjacent normal lung tissue originating from a single donor were obtained from Asterand (Detroit, MI). All sample pairs were processed immediately and under identical conditions. For both normal and tumour tissue, 5 technical replicates were profiled.
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2016-04-14
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