Literature DB >> 18032722

Gene expression profiling by massively parallel sequencing.

Tatiana Teixeira Torres1, Muralidhar Metta, Birgit Ottenwälder, Christian Schlötterer.   

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 (< approximately 80 bp) and long (> approximately 300-400 bp) cDNA fragments are under-represented in 454 sequence reads. Nevertheless, sequencing of 3' cDNA fragments generated by nebulization could be used to overcome the length bias of the 454 sequencing technology. Gene expression measurements generated by restriction analysis and nebulization for fragments within the 80- to 300-bp range showed correlations similar to those reported for replicated microarray experiments (0.83-0.91); 97% of the cDNA fragments could be unambiguously mapped to the genomic DNA, demonstrating the advantage of longer sequence reads. Our analyses suggest that the 454 technology has a large potential for expression profiling, and the high mapping accuracy indicates that it should be possible to compare expression profiles across species.

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Year:  2007        PMID: 18032722      PMCID: PMC2134766          DOI: 10.1101/gr.6984908

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  13 in total

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9.  Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach.

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3.  Optimization of de novo transcriptome assembly from next-generation sequencing data.

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6.  Polymerase chain reaction preparation of template for massively parallel pyrosequencing.

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7.  Massively parallel sequencing identifies the gene Megf8 with ENU-induced mutation causing heterotaxy.

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8.  Quantitative trait loci and crop performance under abiotic stress: where do we stand?

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9.  Rapidly developing functional genomics in ecological model systems via 454 transcriptome sequencing.

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10.  RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays.

Authors:  John C Marioni; Christopher E Mason; Shrikant M Mane; Matthew Stephens; Yoav Gilad
Journal:  Genome Res       Date:  2008-06-11       Impact factor: 9.043

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