2007
DOI: 10.1101/gr.6984908
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Gene expression profiling by massively parallel sequencing

Abstract: Massively parallel sequencing holds great promise for expression profiling, as it combines the high throughput of SAGE with the accuracy of EST sequencing. Nevertheless, until now only very limited information had been available on the suitability of the current technology to meet the requirements. Here, we evaluate the potential of 454 sequencing technology for expression profiling using Drosophila melanogaster. We show that short (< ∼80 bp) and long (> ∼300-400 bp) cDNA fragments are under-represented in 454… Show more

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Cited by 221 publications
(175 citation statements)
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References 14 publications
(19 reference statements)
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“…Based on transcriptomic information, an understanding of many biological processes is now possible, such as gene expression (Torres et al, 2008), gene expression profiles after experimental treatments or infection (Hegedus et al, 2009), gene regulation, discovery of tissue biomarkers, gene discovery, gene content, and isolation of conserved ortholog genes for phylogenomic purposes (Hughes et al, 2006), among others. Therefore, by taking advantage of next generation sequencing technology, transcriptome analysis provides invaluable genomic information for organisms.…”
Section: Discussionmentioning
confidence: 99%
“…Based on transcriptomic information, an understanding of many biological processes is now possible, such as gene expression (Torres et al, 2008), gene expression profiles after experimental treatments or infection (Hegedus et al, 2009), gene regulation, discovery of tissue biomarkers, gene discovery, gene content, and isolation of conserved ortholog genes for phylogenomic purposes (Hughes et al, 2006), among others. Therefore, by taking advantage of next generation sequencing technology, transcriptome analysis provides invaluable genomic information for organisms.…”
Section: Discussionmentioning
confidence: 99%
“…Namely, next generation sequencing technologies, which are rapidly revolutionizing evolutionary biology research will be of paramount interest (Rokas & Abbot 2009). These approaches have already showed their efficiency in various applications, including rapid SNP (single nucleotide polymorphism) discovery (Barbazuk et al 2007), genome sequencing of ecologically important models (Vera et al 2008) as well as accurate gene expression analysis (Torres et al 2007;Lipson et al 2009). High throughput pyrosequencing (454 Life Sciences, Margulies et al 2005) is particularly relevant to the study of non-model organisms such as whitefish since it yields longer sequencing reads than any other method, allowing more accurate de novo sequence assemblies in the absence of reference genomes.…”
Section: Future Directions: Stepping Into the Next-generation Sequencmentioning
confidence: 99%
“…However, with rapid advances in a new generation of high throughput DNA sequencing technologies (4-6), rapid and low cost sequencing may greatly facilitate mutation recovery from mutagenesis screens. These new sequencing technologies have already proven useful for addressing a wide range of biological questions, from de novo sequencing of microorganisms (7), cancer mutation discovery (8), gene expression profiling (9) to epigenetic regulation (10).…”
mentioning
confidence: 99%