The inability of Rpb3 NLS fusions to rescue GPN mutants, while partially rescuing the fitness and localization defects in iwr1 Δ suggests that the role of GPNs is predominantly upstream of import at the level of RNA polymerase assembly, which supports and extends the previous model for RNA polymerase II biogenesis (Wild and Cramer 2012).
In a previous study by Viljoen et al. [2005, A macroscopic kinetic model for DNA polymerase elongation and high-fidelity nucleotide selection.
A tethering model for the polymerase function that incorporates our structural and biochemical observations.
DOI: http://dx.doi.org/10.7554/eLife.03069.011 An explicit model for the polymerase requires too many adjustable parameters to be feasible at this time.
The model for the polymerase gives a relatively modest change in growth rates compared to the fold-increase in tethered association rate.
Previously, we built an approximate model for the polymerase, clamp and exonuclease complex, using distance restraints provided by chemical cross-linking coupled to mass-spectrometry (Toste Rêgo et al., 2013).
Reviewer's report 1 – Dr. Anthony Almudevar The authors apply a parametric model for RNA polymerase interaction during transcription, developed in an earlier paper [ 1], which successfully predicted changes in gene transcription levels attributable to various experimental perturbations.
Furthermore, these results suggest that despite the apparent complexities of the classic Boltzmann sigmoid function, it should be possible to develop a sigmoidal model for the polymerase chain reaction, derived from the two kinetic parameters predicted by the LRE model to govern PCR amplification.
Any model for the polymerase function must recapitulate the catalyst-like properties documented previously (Brouhard et al., 2008) while also accounting for the seemingly paradoxical observation that both TOG1 and TOG2 from Stu2p bind preferentially to a curved conformation of αβ-tubulin that cannot exist in the body of the microtubule.
Relative quantification based on logistic models for individual polymerase chain reactions.
