Your English writing platform
Discover LudwigExact(5)
The inset of Figure 3C shows how the basal expression rate changes as a function of time.
The parameters α0, α1 and β denote the basal expression rate, the NFAT-induced expression rate constant, and the degradation rate constant, respectively.
The stochastic variation in all simulations in this study is determined by adding a zero-mean Gaussian value to the basal expression rate.
In addition, the CLN2 basal expression rate was fixed at zero, since even tiny values of this parameter consistently caused cln3 Δ bck2 Δ and cln3 Δ bck2 Δ sic Δ strains to be viable, contrary to experimental observations.
In the case of silencing, the respective basal expression rate is damped by a factor of 10, while in the vector overexpression case, the basal rate is 10-fold higher.
Similar(55)
Furthermore, for simplicity, the basal expression rates of these three genes are assumed to be zero.
However, in combination with the higher basal Mmp13 expression rate, this resulted in a significantly increased total Mmp13 expression level at day 17 after OA onset in the Tfap2e−/− mice.
Repression, on the other hand, may be modeled by replacing the regulated production term with k(1 – θ) such that 4Here, k′ + k is the basal (unregulated) expression rate, k′ accounts for the fact that complete repression may not be possible, and the bracketed term is a decreasing sigmoidal Hill function.
The dynamics of the model are described by the two rate equations: (6) (7) where variables x and y represent the concentrations of the two gene products, and parameters B X and B Y denote the basal (constitutive) expression rates of genes x and y, respectively.
Basal-phenotype or basal-like breast cancers are characterized by basal epithelium cytokeratin (CK5/14/17) expression, negative estrogen receptor (ER) status and distinct gene expression signature.
These data suggest that, although GF and SPF mice usually do not express IFN-α, or do so at extremely low levels, once the stimulatory signals are triggered, they might produce different levels of IFN-α due to the difference in basal expression levels of rate-limiting regulatory factors of IFN-α production.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com