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Series GSE66590 Query DataSets for GSE66590
Status Public on Sep 28, 2015
Title Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology (RNA-seq_RiboZero)
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We present a more extensive and yet precise assessment to elucidate differences and similarities in performance at numerous aspects including signal range, sensitivity to fold-change, and fidelity with TaqMan qRT-PCR. There were three levels of data examined: entire data sets, data derived from gene name annotation oriented subset of 15442 RefSeq genes, and data derived from transcript pattern defined subset of 7034 RefSeq genes. Our results showed a fair degree of overall correlation between all 6 platforms evaluated; but, to varying degrees, two RNA-seq protocols outperformed three of the microarray platforms in most categories. Notably, a fourth microarray platform, Agilent, was comparable, or marginally superior, to the RNA-seq protocols within these same assessments. Furthermore, 3 platforms (Agilent and two RNA-seq methods) demonstrated over 80% concordance with the gold standard TaqMan assay in terms of fold-change accuracy. Our study suggests that the use of transcript patterns can enhance a number of the observed cross-platform correlations, indicating a potential usefulness for similar evaluations.
 
Overall design The study assessed differences and similarities in performance at numerous aspects including signal range, sensitivity to fold-change, and fidelity with TaqMan qRT-PCR. There were three levels of data examined: entire data sets, data derived from gene name annotation oriented subset of 15442 RefSeq genes, and data derived from transcript pattern defined subset of 7034 RefSeq genes.
Web link http://0-www-biomedcentral-com.brum.beds.ac.uk/1471-2164/16/710
 
Contributor(s) Yu J, Head RD
Citation(s) 26385698
Submission date Mar 05, 2015
Last update date May 15, 2019
Contact name Jinsheng Yu
E-mail(s) jyu@wustl.edu
Organization name Washington University School of Medicine
Department Genetics
Lab GTAC Lab
Street address 660 S. Euclid Ave.
City St. Louis
State/province MO
ZIP/Postal code 63110
Country USA
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (5)
GSM1625957 pure reference RNA (AGO)
GSM1625958 1:4 mixture of AGO and BMO
GSM1625959 1:16 mixture of AGO and BMO
This SubSeries is part of SuperSeries:
GSE66649 Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology
Relations
BioProject PRJNA277468
SRA SRP055916

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE66590_RAW.tar 11.9 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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