Modelling pre-rRNA
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Axt, Konstantin
Abstract
In this project rRNA maturation was investigated with the help of mathematical
models of processing pathways from pre-rRNA to mature rRNA species. Previously
described models were transferred from Excel to Mathematica. Additionally, two
Mathematica based software applications were created, which help to analyse
metabolic [3H]-Uracil labelling of pre-rRNA species. The first program, M Fit helps to
visualize dependencies in the pre-rRNA processing. The other program S Fit tries to
find a best fit of the model response to labelling time course data, hence optimizing
parameter values.
To validate the model anything that has an influence on the co-transcriptional
cleavage is of interest, as these would have distinct effects on the 20S pre-rRNA
labelling curve. A list of proteins which might play a role in A2 cleavage of the 35S
was compiled and Rat1 was selected as the first candidate to investigate. All prerRNA
species except the 35S pre-rRNA consist of two populations. One set created
by nascent transcript cleavage (35S gets cleaved during transcription process) and
one set created by released transcript cleavage (if a fully transcribed 35S pre-rRNA
was released). These two species are not usually distinguishable on gels. However,
with the help of the models the two different populations can be differentiated. This
allows useful predictions to be made about [3H]-Uracil labelling courses in cases of
high or low co-transcriptional cleavage. Experimental data for Rat1 depletion strains
indeed showed an inhibition of co-transcriptional cleavage with a curve pattern as
predicted by the models.
Loss of another ribosome synthesis factor Srp40 was predicted to inhibit cotranscriptional
pre-rRNA methylation. Of particular interest here was the effect on
the 20S as this species supposed to be mostly methylated co-transcriptionally.
Labelling with [3H] methionine the 20S curve for the Srp40 deletion mutant should
have an earlier onset as compared to 20S curve from the corresponding wild type
strain. A higher tritium response was shown for srp40Δ as compared to wild type;
this might proof loss of co-transcriptional methylation.
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