Detecting those proteins that are not concordant with transcript levels helps to reveal examples of post-transcriptional regulation.
This value could measure the transcripts abundance with transcript length, thus we can compare it among different genes or samples.
Analysis is supported by visual methodology, where video image data are linked with transcript to create a narrative of the moment of toddler's initated play.
A targeted analysis with transcript data from previous research was designed to study the perceived effects of secret-keeping on individuals with Turner syndrome (TS).
We sought to determine whether these loci were associated with transcript levels in adipose, muscle, liver, lymphocytes, and pancreatic β-cells.
Subsets of genetic polymorphisms show a statistical association with transcript expression levels, and have therefore been nominated as expression quantitative trait loci (eQTL).
(Updated below with transcript).
We describe evolutionarily conserved signals associated with transcript abundance and tissue-specific expression.
We are also grateful to Lili Bian for her technical assistance with transcript profiling experiments.
Consistent with transcript levels, DNA methylation in liver tissue was not significantly changed comparing WT and Lsh−/− samples.
An interesting question that we are addressing is: does ER phosphorylation cycle in phase with transcript accumulation?
