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This disparity between transcript and protein expression provides further evidence for post-transcriptional regulation of the gene.
Of all discovered genes, those coding for proteins that are readily shed may be of interest for serum marker evaluation, assuming a positive correlation between transcript and protein expression and that the proteins are shed into the blood.
Differences in the direction of change between transcript and protein is likely related to our single sampling time-point, as the time-series relationship between changes in transcript versus protein in vivo are poorly understood in fish [1].
We also found a strong linear relationship between transcript and protein levels.
These results reveal that different relationships exist between transcript and protein expression depending on biological function.
Our results indicate that the relationship between transcript and protein abundance differs with functional category.
We adopted two approaches to estimate congruence between transcript and protein profiles.
An estimate of the correlation between transcript and protein levels was also addressed computationally.
Disagreement between transcript and protein abundance was prevalent when comparing two cell lines.
We validated the correlation between transcript and protein level in 50 available TIL samples.
Studies in yeast have examined the correlation between transcript and protein abundance on a large scale.
More suggestions(15)
between geochemistry and protein
between transcript and copy
between transcript and metabolite
between transcript and compound
between transcript and genome
between mRNA and protein
between water and protein
between oil and protein
between ecogeography and protein
between ligand and protein
between compound and protein
between milk and protein
between roughness and protein
between polymer and protein
between drug and protein
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