Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is used to quantify RNA. RT-qPCR can be performed as a one-step or two-step procedure. The most common method for looking at gene expression is two-step RT-qPCR. About one-step RT-...
Analyzing gene expression data is more challenging than DNA-based analyses, because RNA is more susceptible to degradation than DNA and because transcription varies across cell and tissue types, sex, age, physiological and life stage, and even according to circadian rhythms. Consequently, gene ...
Gene co-expression was analyzed using the Venn diagram (Fig.4a-d) that revealed the numbers of DEGs across all four SRBs under 13 experimental comparisons and the overlapping genes by intersection and union that is involved in the corresponding stress conditions of the SRBs evaluated in this stud...
Gene regulation refers to the mechanisms that act to induce or repress the expression of a gene. These include structural and chemical changes to the genetic material, binding of proteins to specific DNA elements to regulate transcription, or mechanisms that modulate translation of mRNA. ...
The differential expression of the CTR-homologues indicated an impact of these genes on postharvest performance of miniature roses. The transcription factor RhEIN3 (83% identity to AtEIN3), which is a positive regulator of the ethylene response and acts downstream to CTR, is constitutively ...
Validation of gene expression patterns by qRT-PCR To validate the data obtained from RNA-seq, qRT-PCR was performed. Nineteen DEGs were selected for qRT-PCR, including two transcription factors (one bHLH and one WRKY), seven members (TIFYs) of theJAZgene family, seven genes involved in star...
Gene expression noise refers to the variability in gene expression levels among individual cells in a population, even when they are genetically identical. This noise can arise from various sources, such as fluctuations in transcription rates, translation rates, and protein degradation ratesHere are so...
Differential gene expression is important to understand the biological differences between healthy and diseased states. Two common sources of differential gene expression data are microarray studies and the biomedical literature. Methods With the aid of text mining and gene expression analysis we have exam...
Gene Co-Expression Networks Gene expression is the process by which the information encoded in a gene is used to synthesize a gene product (i.e., a protein or RNA). Transcription is the first step of gene expression, in which the DNA of the gene is copied intoRNA.Gene co-expression net...
The characteristic leaf shapes we see in all plants are in good part outcome of the combined action of several transcription factor networks that translate into cell division activity during the early development of the organ. We show here that wild-type leaves have distinct transcriptomic profiles ...