Comparison of microarray and RNA-seq data.
To discuss: How qPCR, DNA microarrays, and RNA-seq analysis compare levels of gene expression among normal versus diseased states. Introduction: The gene functions can be studied through its expression in a particular cell and its interaction with other genes. To study the gene expression, specific mRNAs corresponding to the gene of interest are to be identified.
Comparison of Microarrays and RNA-Seq for Gene Expression Analyses of Dose-Response Experiments Toxicological Sciences, Feb 2014 Michael B. Black, Bethany B. Parks, Linda Pluta, Tzu-Ming Chu, Bruce C. Allen, Russell D. Wolfinger, Russell S. Thomas.
RNA-Seq or microarrays. Both RNA-Seq and microarrays provided novel information. These data suggest that techniques for dealing with small, rare samples from spaceflight can be further enhanced, and that RNA-Seq may miss some spaceflight-relevant changes in gene expression.
Furthermore, we tested commercially available DNA extraction kits on several different faecal samples and measured DNA yield using a fluorometric essay. This revealed that there were profound differences in terms of DNA yield (Figure 2), indicating that the choice of DNA extraction method influences how much starting material is required and practical progress of the sequencing project in.
Moreover, CEL-seq (cell expression by linear amplification) put the T7 promoter to the 5’ end of the first strand of the c DNA and amplified it in a less biased way. In order to characterize small non-coding RNA, small RNA-SEQ or miRNA microarrays are used. 3P-seq, PAS-seq and 3’RACE are used to detect alternative polyadenylation.
In principle, the concepts behind Sanger vs. next-generation sequencing (NGS) technologies are similar. In both NGS and Sanger sequencing (also known as dideoxy or capillary electrophoresis sequencing), DNA polymerase adds fluorescent nucleotides one by one onto a growing DNA template strand.
RNA-Seq is a powerful sequencing-based method that enables researchers to discover, profile, and quantify RNA transcripts across the entire transcriptome.