NDLI: Power of Deep Sequencing and Agilent Microarray for Gene Expression Profiling Study

Content Provider	Springer Nature Link
Author	Feng, Lin Liu, Hang Liu, Yu Lu, Zhike Guo, Guangwu Guo, Suping Zheng, Hongwei Gao, Yanning Cheng, Shujun Wang, Jian Zhang, Kaitai Zhang, Yong
Copyright Year	2010
Abstract	Next-generation sequencing-based Digital Gene Expression tag profiling (DGE) has been used to study the changes in gene expression profiling. To compare the quality of the data generated by microarray and DGE, we examined the gene expression profiles of an in vitro cell model with these platforms. In this study, 17,362 and 15,938 genes were detected by microarray and DGE, respectively, with 13,221 overlapping genes. The correlation coefficients between the technical replicates were >0.99 and the detection variance was <9% for both platforms. The dynamic range of microarray was fixed with four orders of magnitude, whereas that of DGE was extendable. The consistency of the two platforms was high, especially for those abundant genes. It was more difficult for the microarray to distinguish the expression variation of less abundant genes. Although microarrays might be eventually replaced by DGE or transcriptome sequencing (RNA-seq) in the near future, microarrays are still stable, practical, and feasible, which may be useful for most biological researchers.
Starting Page	101
Ending Page	110
Page Count	10
File Format	PDF
ISSN	10736085
Journal	Molecular Biotechnology
Volume Number	45
Issue Number	2
e-ISSN	15590305
Language	English
Publisher	Humana Press Inc
Publisher Date	2010-04-30
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Gene expression profiling Digital Gene Expression tag profiling (DGE) Microarray Real-time PCR Differentially expressed genes Human Genetics Biological Techniques Protein Science Cell Biology Biochemistry Biotechnology
Content Type	Text
Resource Type	Article
Subject	Molecular Biology Biochemistry Bioengineering Applied Microbiology and Biotechnology Biotechnology

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