User:SKaret/Notebook/GroupProj/PromoterEngineering
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Promoters
Background:
- Promoters modulate transcription and modulate expression levels.
- Strong and tightly controlled promoters maximises protein production and reduces toxicity during growth phase
- However, very high transcription rates leads to an excessive metabolic load on the cell. This may decrease rate of product synthesis.
- To combat this, lower strength promoters may be used
- A range of promoter strength is necessary
Prokaryotic and Eukaryotic Promoters:
- Prokaryotic promoters contain 2 essential motifs (consensus regions) surrounded by spacer regions of RNA. These spacers RNAs are variable and can modulate expression levels
- Eukaryotic promoters have 2 (core and enhancer) elements -> different combinations of these can modulate transcription and modulate expression levels. Both core and enhancer elements have specific transcription factor binding sites (TFBS); these determine promoter function
Promoter engineering strategies:
- Random mutagenesis using Ep-PCR (error-prone PCR)
- The TFBS is altered to make variant promoters with lower strengths.
- Application Example: Bacteriophage-derived PL- γ constitutive E. coli promoter: 196-fold range 69 was engineered; each promoter had identical regulation. Optimal expression levels were dependent on strain background
- Saturation mutagenesis of nucleotide spacer regions
- Only the variable spacer regions of the promoter are mutated; the consensus regions are retained
- Application Example: Lactococcus lactis promoter 76 : 400-fold range in expression.
- Extending the idea: Mutations in the consensus region or alternating the length of the spacer region reduces promoter function dramatically, increasing dynamic range to 3 to 4 logarithms.
- Hybrid Promoter Engineering
- Assembly of element-core promoter fusions to:
- Enhance basal core transcriptional capacity
- Enable novel promoter regulation
- Hybrid promoter core and enhancer elements are modular
- Hybrid promoters with tandem repeating UAS elements -> increase core promoter expression capacity
- Each additional UAS increases overall hybrid promoter strength
- Advantages include 1) generate large coverage promoter libraries 2) enhancing transcriptional capacity of strong endogenous promoters
- Application Example: Yarrowia lipolytica: the strong, highly regulated XPR2 promoter has a 105-bp upstream enhancer element, (UAS1B).96 Fusion of one - four tandem UAS1B copies to a core promoter created four hybrid promoters of increasing strength
- Assembly of element-core promoter fusions to:
- Direct systematic modulations of TFBSs
- Application Example: e coli – 3 inputs from 4 different TFs modulated promoter strength over five decades
Paul J Rutten’s Thesis:
Aim(s):
Converting constitutive promoters -> (synthetic inducible promoters) SIPs; Characterise it using reliable predictive model.
Introduction:
- Very strong constitutive promoters means that SIPs created from it have a poor ON:OFF ratio, i.e. very little difference in the uninduced state and induced state.
- 2 types of TFs and operators
- Activating operators – turns on the inducible promoter, which normally has weak basal activity
- Repressing operators – turns off the inducible promoter, which normally has strong basal activity
- Optimal placement of the operator sequence in SIP depends on the TF
- Repressing operators are most effective in the core region >proximal > distal
- Activating operators are most effective in the distal region (only)
Conclusion:
- Libraries of new SIPs controlled by the XylR, LuxR and AraC TF were constructed from the Anderson set of 8 constitutive promoters (3 )
- The WANG AND-gate was replicated with these SIPs
- Promoters were weaker in the SVd context, showcasing context-sensitivity
- The relative promoter unit was a good comparator of promoter strengths across different contexts
- AraC constructs failed as SIPs were unable to be made from them.
Future directions:
- Build and characterise more SIPs from untested constitutive promoters to clarify the range of promoters that can be used to construct SIPs.
- Find the extent to which SIPs are context dependent.
- Use SIPs for forward engineering