PnB Designer
PnB Designer generates prime editing guide RNAs (pegRNAs) and guide RNAs for cytosine and adenine base editors to design and evaluate edits for variant-specific and reference-genome targets, including ClinVar-listed disease-causing mutations.
Key Features:
- Automated pegRNA and gRNA design: Generates prime editing guide RNAs (pegRNAs) for CRISPR prime editors and guide RNAs for base editors, including cytosine base editors (CBEs) and adenine base editors (ABEs).
- Multi-target capability: Designs targeting gRNAs for single or multiple genomic targets using variant-specific sequences or reference genomes.
- Cross-kingdom applicability: Applicable to organisms across multiple biological kingdoms, including animals and plants.
- Disease modeling and mutation correction: Models all known disease-causing mutations listed in ClinVar by designing pegRNAs and identifies optimal base editors by scanning the genome with one CBE and seven different ABE PAM variants.
- CRISPR effector configurations: Supports configurations that fuse deaminases or reverse transcriptases to nCas9 to implement base editing and prime editing.
Scientific Applications:
- Disease modeling and correction: Designing pegRNAs and gRNAs to model and correct ClinVar-listed disease-causing mutations in animal and plant models.
- Functional genomics and therapeutic development: Enabling design of guides for prime editors (PEs) and base editors (BEs) to study gene function, genetic disease mechanisms, and potential therapeutic interventions.
Methodology:
Integrates algorithms that identify optimal guide RNA sequences and performs genome scanning with one CBE and seven different ABE PAM variants to select candidate base editors.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- R
- Added:
- 11/22/2021
- Last Updated:
- 11/22/2021
Operations
Publications
Siegner SM, Karasu ME, Schröder MS, Kontarakis Z, Corn JE. PnB Designer: a web application to design prime and base editor guide RNAs for animals and plants. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-04034-6. PMID:33653259. PMCID:PMC7923538.