Intro and references
Nanocompartments proteins and promoters
ΔVP1
There is no Uniprot reference exactly for this protein, here is the similar wild type protein:
Promoter used:
Gal1
VP2C-GFP
Promoter used:
Gal10
Constants references
Some of the constants were taken from the SPARKLE project, supplementarty table 1. Model: constitutive gene expression
Gal1
Define model constants
p.CN = 1; % initial number of plasmids
% TODO: how to +- calculate it from the lab protocol?
p.d1 = 0.042116; % mRNA degradation rate
p.d2 = 0.02; % protein degradation rate
p.k2 = 1.4514; % translation rate
p.k1 = 10.22731087; % transcription rate
Define simulation parameters
tspan = 0:step:tfin-step;
Run the simulation
opti = odeset('AbsTol', 1e-8, 'RelTol', 1e-6);
[t0, x0] = ode23t(@(t, x) model_const(t, x, p), tspan, Init, opti);
Plot the results
legend('mRNA', 'protein')
legend('location', 'eastoutside')
ylabel('Number of molecules')
Gal10
gal1 = x0(:, 2)
104 ×
0
0.0000
0.0000
0.0001
0.0001
0.0002
0.0003
0.0004
0.0005
0.0006
basal_gal10 = 80 / 90 * max(gal1) % reverse engineered
Define model constants
p.CN = 1; % initial number of plasmids
% TODO: how to +- calculate it from the lab protocol?
p.d1 = p.d1; % mRNA degradation rate
p.d2 = p.d2; % protein degradation rate
p.k2 = p.k2; % translation rate
p.k1 = p.k1 * (200 - 80) / 90; % transcription rate, reverse engineered
Define simulation parameters
tspan = 0:step:tfin-step;
Run the simulation
opti = odeset('AbsTol', 1e-8, 'RelTol', 1e-6);
[t1, x1] = ode23t(@(t, x) model_const(t, x, p), tspan, Init, opti);
Plot the results
legend('mRNA', 'protein')
legend('location', 'eastoutside')
ylabel('Number of molecules')
Plot Gal1 and Gal 10 to adjust constants
gal10 = x1(:, 2)
104 ×
0
0.0000
0.0000
0.0001
0.0002
0.0002
0.0004
0.0005
0.0006
0.0008
plot(t0, gal1, t1, gal10 + basal_gal10)
set(gcf,'Position',[200 200 1000 1000])
title('Nanocompartments proteins expression model')
legend('ΔVP1 (under GAL1)', 'VP2C-GFP (under GAL10)')
legend('location', 'eastoutside')
ylabel('Number of molecules')
Discussion
WARNING: not actual
Model is quite adequate, but protein degradation constant is still neeeded (I couldn't find it). We can reverse engineer the only missing constant, using aticle about nanocompartments (actually, model is already close to the experimental data). function [dxdt] = model_const(t, x, p)
dxdt(1,1) = p.CN*p.k1-p.d1*x(1);
dxdt(2,1) = p.k2*x(1)-p.d2*x(2);