Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms. Export

@article{citeulike:3428488, abstract = {The hippocampal expression profiles of wild-type mice and mice transgenic for deltaC-doublecortin-like kinase were compared with Solexa/Illumina deep sequencing technology and five different microarray platforms. With Illumina's digital gene expression assay, we obtained approximately 2.4 million sequence tags per sample, their abundance spanning four orders of magnitude. Results were highly reproducible, even across laboratories. With a dedicated Bayesian model, we found differential expression of 3179 transcripts with an estimated false-discovery rate of 8.5\%. This is a much higher figure than found for microarrays. The overlap in differentially expressed transcripts found with deep sequencing and microarrays was most significant for Affymetrix. The changes in expression observed by deep sequencing were larger than observed by microarrays or quantitative PCR. Relevant processes such as calmodulin-dependent protein kinase activity and vesicle transport along microtubules were found affected by deep sequencing but not by microarrays. While undetectable by microarrays, antisense transcription was found for 51\% of all genes and alternative polyadenylation for 47\%. We conclude that deep sequencing provides a major advance in robustness, comparability and richness of expression profiling data and is expected to boost collaborative, comparative and integrative genomics studies.}, author = {'t Hoen, Peter A. and Ariyurek, Yavuz and Thygesen, Helene H. and Vreugdenhil, Erno and Vossen, Rolf H. and de Menezes, Ren\'{e}e X. and Boer, Judith M. and van Ommen, Gert-Jan J. and den Dunnen, Johan T.}, citeulike-article-id = {3428488}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkn705}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/cgi/content/abstract/36/21/e141#B3}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/18927111}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=18927111}, day = {1}, doi = {10.1093/nar/gkn705}, issn = {1362-4962}, journal = {Nucleic acids research}, keywords = {ma, rna-seq}, month = {December}, number = {21}, pages = {e141+}, posted-at = {2009-07-26 05:08:50}, priority = {2}, title = {Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms.}, url = {http://dx.doi.org/10.1093/nar/gkn705}, volume = {36}, year = {2008} }

TY - JOUR ID - citeulike:3428488 L3 - citeulike-article-id:3428488 N2 - The hippocampal expression profiles of wild-type mice and mice transgenic for deltaC-doublecortin-like kinase were compared with Solexa/Illumina deep sequencing technology and five different microarray platforms. With Illumina's digital gene expression assay, we obtained approximately 2.4 million sequence tags per sample, their abundance spanning four orders of magnitude. Results were highly reproducible, even across laboratories. With a dedicated Bayesian model, we found differential expression of 3179 transcripts with an estimated false-discovery rate of 8.5%. This is a much higher figure than found for microarrays. The overlap in differentially expressed transcripts found with deep sequencing and microarrays was most significant for Affymetrix. The changes in expression observed by deep sequencing were larger than observed by microarrays or quantitative PCR. Relevant processes such as calmodulin-dependent protein kinase activity and vesicle transport along microtubules were found affected by deep sequencing but not by microarrays. While undetectable by microarrays, antisense transcription was found for 51% of all genes and alternative polyadenylation for 47%. We conclude that deep sequencing provides a major advance in robustness, comparability and richness of expression profiling data and is expected to boost collaborative, comparative and integrative genomics studies. IS - 21 JF - Nucleic acids research SN - 1362-4962 TI - Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms. VL - 36 SP - e141 KW - ma KW - rna-seq AU - 't Hoen, Peter AU - Ariyurek, Yavuz AU - Thygesen, Helene AU - Vreugdenhil, Erno AU - Vossen, Rolf AU - de Menezes, Renée AU - Boer, Judith AU - van Ommen, Gert-Jan AU - den Dunnen, Johan PY - 2008/12/01/ UR - http://dx.doi.org/10.1093/nar/gkn705 ER -