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Gene expression profiling by massively parallel sequencing
Author(s) -
Tatiana Teixeira Torres,
Muralidhar Metta,
Birgit Ottenwälder,
Christian Schlötterer
Publication year - 2007
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.6984908
Subject(s) - biology , massive parallel sequencing , dna sequencing , gene expression profiling , computational biology , complementary dna , deep sequencing , genetics , shotgun sequencing , single cell sequencing , dna microarray , profiling (computer programming) , sequence analysis , gene , gene expression , genome , exome sequencing , phenotype , computer science , operating system
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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