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Series GSE66626 Query DataSets for GSE66626
Status Public on Sep 28, 2015
Title Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology (Agilent_4x44K)
Organism Homo sapiens
Experiment type Expression profiling by array
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://www.biomedcentral.com/1471-2164/16/710
 
Contributor(s) Yu J, Head RD
Citation(s) 26385698
Submission date Mar 06, 2015
Last update date Feb 22, 2018
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)
GPL4133 Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version)
Samples (8)
GSM1626573 AGO
GSM1626574 AG1BM16_1
GSM1626575 AG1BM16_2
This SubSeries is part of SuperSeries:
GSE66649 Multi-platform assessment of transcriptional profiling technologies utilizing a precise probe mapping methodology
Relations
BioProject PRJNA277482

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
GSE66626_RAW.tar 60.0 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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