This review describes the current methods used to profile gene expression.
We performed a microarray experiment with a 2×2 factorial design to profile gene expression in human NK cells (Velasquez et al., 2016) [1].
Microarray technology has been applied to profile gene expression in response to abiotic stresses, such as drought, high salinity, cold, or ABA treatments in several model plants including Arabidopsis and rice (Kreps et al. 2002; Seki et al. 2002; Rabbani et al. 2003; Lenka et al. 2011).
Micro-fabricated composite material screening array is also able to determine the combined effects of substrate stretch, soluble cues, and matrix proteins on small populations of primary cells, which eventually enable us to profile gene expression from a single cell (Moraes et al., 2013).
SCOTS technique was used to profile gene expression of P. temperata in H. bacteriophora infective juveniles (Fig. S2).
A number of studies have used DNA microarrays to profile gene expression in reprogramming of somatic cells into iPS cells, all of which focused on mRNA levels.
We then proceeded to profile gene expression changes that could discriminate functionally deficient and apoptosis-sensitive Tregs from their healthy counterparts.
Previously, we also created a 4K-cDNA microarray to profile gene expression in E. fetida as differentially affected by exposure to explosive compounds [28], [29].
Originally described in studies of eukaryotic gene expression, RNA-seq has now been used to profile gene expression in microbial isolates [26] and also within natural mixed population communities of the ocean and soil [18] [23].
To identify the molecular basis of the host response to Bd infection, we used microarrays to profile gene expression in the cold and warm infected cohorts at days 7 and 42 of infection (see Figure S1 for the experimental design).
These technologies have been used to profile gene expression patterns in gonads [16], to diagnostically distinguish different types of cancer, to validate drug target interactions, and to identify secondary drug target effects.
