Sentence examples for changes in transcripts from inspiring English sources
The preponderance of changes in transcripts corresponding to metabolism, signaling, transcription, translation and transport associated processes after 30 min of 18 3-Glu elicitation emphasized the fact that at this early time point a substantial reprogramming of the leaf metabolism is already in progress.
Despite these considerations, the major changes in transcripts that are presented, especially during the T0-T1 stage of germination, strongly indicate changes in transcription that support the process of germination.
The effects were studied by quantifying changes in transcripts with gene-sequence primer pairs for a suite of gene responses (AhRα, ARNT, CYP1A1, CYP3A, UGT and GST) belonging to the xenobiotic biotransformation system.
The majority of the observed changes in transcripts affects genes involved in basic bacterial metabolism and is connected to AF composition and nutritional requirements of the bacterium.
Importantly, the response to growth in human AF included significant changes in transcripts of multiple virulence genes such as adhesins, capsule, and hemolysin and IL-8 proteinase what might have consequences for the outcome of host-pathogen interactions.
However, the inferences provided by this study provide many hypotheses, which can be rigorously tested once efficient plant-mediated RNAi systems have been developed to silence the expression of the diet-induced changes in transcripts in the insects [98].
The authors characterize a variety of different transcriptional and post transcriptional responses, including changes in transcript levels, changes in ribosome profiling read density, protein levels, and protease cleavage.
RT-PCR data was normalized to GAPDH expression to identify relative changes in transcript levels.
For analysis of changes in transcript levels the most sensitive method is the quantitative real-time PCR (qPCR).
Similarly, no direct correlation was observed between changes in transcript and metabolite levels under low temperature stress in Arabidopsis (Kaplan et al. 2004).
HiCEP: high-coverage gene expression profiling, based on the amplified-fragment-length polymorphism technique, can detect changes in transcript expression with high coverage (Fukumura et al. 2003).
