Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays.
Title | Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays. |
Publication Type | Journal Articles |
Year of Publication | 2009 |
Authors | Bloom JS, Khan Z, Kruglyak L, Singh M, Caudy AA |
Journal | BMC Genomics |
Volume | 10 |
Pagination | 221 |
Date Published | 2009 |
ISSN | 1471-2164 |
Keywords | algorithms, DNA, Complementary, DNA, Fungal, Gene Expression Profiling, Oligonucleotide Array Sequence Analysis, Saccharomyces cerevisiae, sequence alignment, Sequence Analysis, DNA |
Abstract | BACKGROUND: High-throughput cDNA synthesis and sequencing of poly(A)-enriched RNA is rapidly emerging as a technology competing to replace microarrays as a quantitative platform for measuring gene expression. RESULTS: Consequently, we compared full length cDNA sequencing to 2-channel gene expression microarrays in the context of measuring differential gene expression. Because of its comparable cost to a gene expression microarray, our study focused on the data obtainable from a single lane of an Illumina 1 G sequencer. We compared sequencing data to a highly replicated microarray experiment profiling two divergent strains of S. cerevisiae. CONCLUSION: Using a large number of quantitative PCR (qPCR) assays, more than previous studies, we found that neither technology is decisively better at measuring differential gene expression. Further, we report sequencing results from a diploid hybrid of two strains of S. cerevisiae that indicate full length cDNA sequencing can discover heterozygosity and measure quantitative allele-specific expression simultaneously. |
DOI | 10.1186/1471-2164-10-221 |
Alternate Journal | BMC Genomics |
PubMed ID | 19435513 |
PubMed Central ID | PMC2686739 |
Grant List | P50GM071508 / GM / NIGMS NIH HHS / United States R37 MH059520 / MH / NIMH NIH HHS / United States |