Several technologies have been developed, differing essentially in the number of reads generated and read length (reviewed in [ 54]), making it possible to catalogue the genes expressed and to monitor gene expression.
pEGFP was used as a reporter gene to monitor gene expression.
To monitor gene expression, EGFP mRNA was co-injected into the oocytes.
Real time RT-PCR was used to monitor gene expression levels of specific chondrogenic markers.
It is therefore straightforward to monitor gene expression patterns and their interactions as the first step to deciphering the underlying mechanisms of a plant subjected to stresses.
Superparamagnetic iron oxide (SPIO) nanoparticles are increasingly being used to noninvasively track cells, target specific molecules and monitor gene expression in vivo.
After 12 years from its first application, microarray technology has become the reference technique to monitor gene expression of thousands of genes in the same experiment.
Because exogenous substrates and cofactors are not required for this fluorescence, GFP expression can be used to monitor gene expression and protein localization in living organisms.
The microarray slides, manufactured by Agilent Technologies (Palo Alto, California), were used to monitor gene expression in an induction experiment using 2-chloroethylphosphonic acid, common name ethephon and the active ingredient of the plant growth regulator Ethrel® (Bayer Crop Science).
The problem of handling a vast quantity of data that the system is unable to process is not a brand-new research issue; in fact, it appeared in several early approaches [2, 21, 72], e.g., marketing analysis, network flow monitor, gene expression analysis, weather forecast, and even astronomy analysis.
For example, in the field of immunology, single cell analysis can help us to monitor gene expression in complex tissues, to define different cell subsets, to get insights into both their functional capacity and their specificity, and to track antigen-specific cells [2].
