Predicting Specific Protein Abundances and Translation Efficiency in Yeast
Name
Mark Kerner
Abstract
Protein abundances and production rates differ by several orders of magnitude among protein-coding genes. We show that specific protein abundances can be modeled as a function of mRNA abundances, translation efficiency and protein turnover. We then match RNA sequence motifs of 21 RBPs on the untranslated regions of 774 target transcripts. We determine that the RNA sequence motifs on target transcripts untranslated regions do not predict variability in translation efficiency of these transcripts. We use yeast Saccharomyces cerevisiae as the model organism.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Leopold Parts
Defence year
2020