Parameterising Translational Feedback Models of Autoregulatory RNA-Binding Proteins in .

Post-transcriptional gene regulation is driven by RNA-binding proteins (RBPs). Recent global approaches suggest widespread autoregulation of RBPs through binding to their own mRNA; however, little is known about the regulatory impact and quantitative models remain elusive. By integration of several independent kinetic parameters and abundance data, we modelled autoregulatory feedback loops for six canonical and non-canonical RBPs from the yeast , namely Hrb1p, Hek2/Khd1p, Ski2p, Npl3p, Pfk2p, and Map1p.