Eukaryotic Models of Stochasticity in Gene Expression
Eukaryotic Models of stochasticity differ from prokaryotic models because their processes of transcription and translation are inherently different. Therefore, in stochastic models, different single variables are needed to account for discrepancies. Collins et. al. created a model for stochasticity in eukaryotes which represented factors in the stabilization of the transcriptional complex to mRNA (Figure 1). In Figure 1, states PC1, PC2, and PC3 all detail different states of DNA. PC1 represents the inactive DNA, PC2 represents an intermediate complex where TATA binding protein and other transcriptional factors are bound, and PC3 represents the preinitiation complex. Another characterization of Eukaryotic expression lies in the alpha variable which represents masking and unmasking of DNA by chromatin structure (Collins et. al., 2003).