Modeling predicts that CRISPR-based activators, unlike CRISPR-based repressors, scale well with increasing gRNA competition and dCas9 bottlenecking
Clamons, S.; Murray, R.
Show abstract
Synthetic transcriptional networks built from CRISPR-based repressors (CRISPRi) rely on shared use of a core dCas9 protein. In E. coli, CRISPRi cannot support more than about a dozen simultaneous gRNAs before the fold repression of any individual gRNA drops below 10x. We show with a simple model based on previous characterization of competition in CRISPRi that activation by CRISPR-based activators (CRISPRa) is much less sensitive to dCas9 bottle-necking than CRISPRi. We predict that E. coli should be able to support dozens to hundreds of CRISPRa gRNAs at >10-fold activation.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Data-Driven Network Models for Genetic Circuits From Time-Series Data with Incomplete Measurements 96%
- Model-guided gene circuit design for engineering genetically stable cell populations in diverse applications 96%
- Predicting phenotype transition probabilities via conditional algorithmic probability approximations 95%
Similar papers in this journal
Similar papers in this journal
- Nonlinear delay differential equations and their application to modeling biological network motifs 95%
- Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression 94%
- Layered Feedback Control Overcomes Performance Trade-off in Synthetic Biomolecular Networks 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.