DUBLIN, July 13, 2015 /PRNewswire/ — Research and Markets (http://www.researchandmarkets.com/research/vbw2pw/2015_gene) has announced the addition of the “2015 Gene Expression Profiling Dashboard Series 5” report to their offering.
Gene expression profiling (GEP) methods enable the quantification of multiple transcripts from a single RNA sample. Powerful and continually evolving methods, such as short-read sequencing (RNA-seq), microarray analysis, quantitative real-time RT-PCR, as well as traditional methods for differential gene expression studies using multiplex endpoint PCR and northern blot analysis are employed by scientists to analyze gene function, identify new therapeutic and diagnostic targets, and to map pathways involved in development and disease.
2015 Gene Expression Profiling Dashboard is the fifth in a series that characterizes the dynamic market for products for profiling gene expression. This 2015 Dashboard provides a snapshot of the current market landscape that is compared with data from the 2012 and in some cases 2010 and 2008 Gene Expression Profiling Dashboards, providing an ongoing picture of how the market is adapting to new products, new competitors and new sales and marketing strategies.
The 2015 Gene Expression Profiling Dashboard was developed from responses to a 21-question survey completed by 382 scientists located in North America and Europe. These respondents perform gene expression profiling methods on a regular basis.
This dashboard reveals key market indicators for the gene expression profiling market as a whole as well as for the following methods representing market sub-segments:
- Differential gene expression studies using multiplex endpoint PCR
- Digital gene expression/molecular barcodes
- Microarray-based gene expression studies (including bead arrays)
- qRT-PCR (cDNA template) using gene specific fluorescent probe
- qRT-PCR (cDNA template) using non-specific SYBR Green
- Northern blot analysis
- Serial analysis of gene expression studies
- Transcriptome studies using tiling arrays
- Transcriptome studies via (RNA-seq) short-read sequencing
Source – PRNewswire