Thus, the identification of appropriate controls, diagnostic accuracy, demographic influences and therapies with immunomodulatory off-target effects are critical considerations in interpreting translational work.
Most of our difficulties in interpreting translational control in real life likely stem from the fact that the mechanisms in question do not employ simple on-off switches, but instead use fractional changes in the activity of their component parts to achieve redistributions of translational activity among different mRNA species.
In addition, recording technique, clinical context and adjustment for incident heart rate are key factors to consider when interpreting the translational relevance of HRV in critically ill patients.
Because the genetic background of the two mouse strains influenced test results in an age-dependent manner, it is imperative to recognize that diverse genetic backgrounds in mice may yield different data in preclinical studies and would need to be interpreted individually for translational applications.
The corresponding time interval in humans is from birth to age 20, and must be considered when interpreting findings from translational research [ 59].
In contrast to PK and absorption, distribution, metabolism, and excretion, areas of lesser understood biology, disease processes, and drug targets may require significant rethinking of how biology itself is observed and interpreted long before translational work is attempted.
Given that these genes are enriched for uORFs, we interpret this as selection for translational inefficiency rather than inaccuracy.
This indicates that further translational research needs to interpret anti-proliferation efficacy among the different molecular subtypes.
Li et al. reported that an anti-Shine Dalgarno-like sequence within coding sequence canti-Shine Dalgarno-likeing [ 35], anti-Shine Dalgarno-likee high ribosequencesity of G-rich codons observed around the -15 position should be responsible for this.
Nonetheless, most of these techniques fail to interpret large-scale transcriptional data at the post-translational level.
