In-depth cDNA Library Sequencing Provides Quantitative Gene Expression Profiling in Cancer Biomarker Discovery

procedures may allow detection of many expres-sion features for less abundant gene variants. With the reduction of sequencing cost and the emerging of new generation sequencing technology, in-depth sequencing of cDNA pools or libraries may represent a better and powerful tool in gene expression profiling and cancer biomarker detection. We also propose using sequence-specific subtraction to remove hundreds of the most abundant housekeeping genes to in-crease sequencing depth without affecting relative expression ratio of other genes, as transcripts from as few as 300 most abundantly expressed genes constitute about 20% of the total transcriptome. In-depth sequencing also represents a unique ad-vantage of detecting unknown forms of transcripts, such as alternative splicing variants, fusion genes, and regulatory RNAs, as well as detecting mutations and polymorphisms that may play important roles in disease pathogenesis.

作 者：   作者單位：   刊 名： 基因組蛋白質(zhì)組與生物信息學(xué)報(bào)（英文版）  英文刊名： GENOMICS、PROTEOMICS & BIOINFORMATICS  年，卷(期)： 2009 ""(1)  分類(lèi)號(hào)： Q5  關(guān)鍵詞： cDNA sequencing   sequencing depth   expressed sequence tag   sequence-specific subtraction   biomarker   mutation detection  

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