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For analysis of dynamic gene expression, FPs with rapid folding and increased turnover are important.
The Illumina® Sentrix Mouse 6 bead array provided a sensitive and detailed platform for analysis of dynamic gene expression.
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Because of the large number of participating species and the complexity of their interactions, only detailed modeling can allow the investigation of dynamic gene expression in a way fit for analysis and design.
Time series gene expression analysis showed dynamic gene expression level changes that were regulated by HER2 as a function of time in each of the cell lines.
Mouse skin and liver were chosen as the targets of bombardment for dynamic gene expression observation.
For example transcriptomic analysis has shown that many transcription factors exhibit dynamic gene expression changes during male gametophyte development [ 28, 29] and miRNAs that target transcription factors are well represented in our sequences (over one third of the families identified).
Cells grown on the preformed pellets or the coated surfaces were also used for analysis of osteogenic gene expression.
Dynamic gene expression imaging provides advantages over conventional static single-point imaging to provide a continuous overview of gene expression dynamics and facilitates analysis of gene expression progress in real time.
Current methods for analysis of gene expression data are mostly based on clustering and classification of either genes or samples.
This makes isolation of high quality RNA for analysis of gene expression difficult.
RNA-Seq has become the new standard for the analysis of differential gene expression [ 1- 3] due to its wider dynamic range and smaller technical variance [ 4] compared to traditional microarray technologies.
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