This procedure involves isolation of polyadenylated transcripts, chemical fragmentation, randomly primed reverse-transcription, and adapter ligation.
Consistent with a potential role in chemical transduction, gene transcripts encoding G protein, PLC or inositol 1,4,5-trisphosphate receptor were found to be expressed in Aplysia rhinophore sensory epithelium [ 29].
Because we carried out the enrichment of nascent RNA before its chemical fragmentation, all nascent transcripts detected in the NRO assay should have originated at their TSSs.
Furthermore, the dynamics of fatty acid (FA) and FA-biosynthetic transcripts upon chemical inhibitor-induced sterol depletion reveal possible co-regulation of sterol production and FA synthesis, in that the squalene epoxidase inhibitor terbinafine reduces sterol content yet significantly elevates free FA production.
When seedlings are treated with chemical inhibitors of chloroplast biogenesis, transcript levels of nuclear genes encoding photosynthetic proteins are reduced, implying the existence of a plastid-derived retrograde signal that can repress nuclear gene expression when chloroplasts are damaged.
The regulation and biosynthesis of terpenes in the response to insect attack have been successfully explored using combinations of transcript profiling and chemical characterizations over the last decade [ 19, 27, 28].
Thus, we are confident that despite the potential effect of the phytoestrogens in the diet of animals used in a bioassay designed to evaluate the potential estrogenic activity of a given chemical the response to the chemical (which could be the transcript profile induced by exposure) is independent of the diet and has the potential to truly reflect estrogenic activity.
This strategy should be useful for the detection of interactions between nucleic acids that cannot be subjected to chemical modification, such as RNA transcripts inside cells.
To further explore the molecular mechanisms, we used the most significantly differentially expressed transcripts of each chemical exposure to perform canonical pathway analyses.
A method was adopted for gene discovery using a combination of sequence annotation, chemical catalytic features prediction and transcripts expression profiling for deep mining of target genes of the CPT metabolism pathway.
