Genome editing Pete Jones.

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Presentation transcript:

Genome editing Pete Jones

Genome editing Growing interest in genome editing Pubmed search “genome editing” Pubmed search “CRISPR”

Outline Approaches to understanding gene function. Different approaches using genome editing to elucidate gene function. What can we do with genome editing? Specific examples from our research and others Challenges and problems. Future directions.

Genetic approaches How do we identify a gene as being involved in a disease or process? Forward genetics -> mutagenise a population of individuals or cells, screen for phenotype of interest. Reverse genetics -> Gene identified as potentially involved in disease, process -> modify to analyse function. GWAS studies -> Reverse genetics.

What does a gene do? How do we find out what a gene does and how that relates to our disease/process of interest? Functional Experiments -> localisation, interactors Remove the gene function -> what happens without it? DNA RNA Protein Genetic engineering siRNA Small Molecule Inhibitors Antibodies Off-target effects Incomplete knock-down Residual effect of low expression Length of effect Protein Isoforms Off-target effects Effectiveness Length of effect

Genetic engineering Recombination approaches (mice, yeast). Transposable elements (Drosophila), Bacterial insertion of DNA (Arabidopsis). Transfection of gene constructs into cells (randomly integrated). Until recently, not possible to make genetic changes in human cells -> genome editing.

What is genome editing? A genetic engineering approach in which DNA is inserted, removed or replaced at a precise location within the genome. Engineered nucleases. Recombination-based approaches Viral genome editing: rAAV Nuclease based genome editing: Zinc-finger nucleases Meganucleases TALENs CRISPRs Creation of isogenic cell lines -> only differ by the change we’ve introduced. Make (nearly) any modification we desire!

Genome editing Precise alterations to the genome Single base pair changes Insertion Knock-out Precise alterations to genome. Can investigate functions of genes, regulatory elemets, or SNPs. We can do this by generating knockouts, Knock-ins, or specific insertions. rAAV CRISPR TALENs

Nuclease-based genome editing Engineered nucleases which will cut at a desired position in the genome TALENs - transcription activator-like effector nucleases Xanthomonas bacteria express TAL arrays to bind and activate host promoters TAL array is a series of DNA binding domains assembled to recognise a specific sequence 33-34 amino acid sequence – only 12th and 13th residue vary – and determine nucleotide binding. We can construct these arrays, add a nuclease and use for genome editing In the last coupe of years, there has been an explosion in the use of genome editing. This has predominantly been using TALENs and CRISPRs TALENs -> DNA binding domains, linked together CRISPRs -> based on a system that bacteria use as immunity against viruses. Design a guide TGAGGAGGCGGCAACGGCGGGCGCCGGGGCGGCGGGCCCCGGGGCGAGCA ACTCCTCCGCCGTTGCCGCCCGCGGCCCCGCCGCCCGGGGCCCCGCTCGT Fok1 Cleavage

Nuclease-based genome editing CRISPRs CRISPR-Cas system – an form of acquired immunity found in bacteria. The guide RNA directs the Cas9 protein to a target site. Creating a guide RNA is very simple. Cas9 Protein Cleavage Guide RNA

Nuclease-based genome editing TALENs and CRISPRS Nuclease-induced DSB HDR-mediated repair Single nucleotide alterations Donor Template Donor Template Precise sequence insertion NHEJ-mediated repair TALENs and CRISPRs can be used to generate a variety of genetic alterations. Insertion or deletion mutations

rAAV genome editing Use a viral vector to carry DNA into cell Homologous recombination allows incorporation of modified DNA into the genome. Incorporation of an antibiotic resistance gene allows selection of successfully edited cells.

rAAV genome editing ITR LoxP G418 Resistance Gene Exon Single nucleotide alteration LoxP G418 Resistance Gene Exon Single nucleotide alteration Insertion into genome by homologous recombination LoxP Exon Single nucleotide alteration Removal of G418 resistance gene

Applications of genome editing GWAS studies have identified >4000 SNP associations with ~200 diseases. How do these SNPs contribute to disease? Which genes are contributing to disease? How? CAD -> 1000 SNPs -> ~50 loci. Telomere-length associated genes.

Applications of genome editing CAD GWAS Hit -> 1 SNP within exon of ZC3HC1 rAAV mediated genome editing -> isogenic cell lines. CC CT TT rAAV mediated genome editing to create isogenic lines to analyse the effect of the SNP. DLD-1 colon carcinoma cell line, which is pseudodiploid. Targeting from Het, both ways. Most of this analysis, single homozygote, 2 hets. Now have 3 of each. Currently editing to obtain Homozygous risk. Targeting each allele of rs11556924. Have now generated genome edited cell lines of all 3 genotypes. Investigating effect of rs11556924 on ZC3HC1 protein function and cellular phenotype.

Applications of genome editing ANRIL lncRNA in CAD 9p21 GWAS significant locus. Insert luciferase reported attached to Exon 1 of ANRIL to visualise expression. pAAV0866 Cre-expression plasmid Insertion 672 bp in Exon 1 of ANRIL =NanoLuc 638bp+LoxP 34 bp LHA:1kb RHA: 1.2kb PGK Pro + Puro 1.2kb ANRIL reporter

Applications of genome editing ANRIL lncRNA in CAD 9p21 GWAS significant locus. Insert inducible promoter to allow us to control expression of ANRIL. pAAV0823 Cre-expression plasmid Insertion 411bp up stream Exon 1 of ANRIL (LoxP 34bp+TRE3G Promoter 377 bp) LHA:1kb RHA: 1kb PGK Pro + Puro 1.2kb

Applications of genome editing KIAA1462 CAD GWAS Significant Locus 9 significantly associated SNPs Cell-cell junctional protein How does this gene contribute to CAD? Use CRISPRs at SNPs, with oligonucleotide donor for HDR Also generate Knockout using CRISPR

Challenges and Future Directions Challenges of using genome editing: Off-target effects Knock-outs -> Compensatory expression changes (redundancy) Effects may be due to GxE interactions, may not be easily detectable. Delivery into difficult to transfect cell types, whole organs, organisms. Future Directions Increased specificity Gene therapy GM crops/animals? Other applications?

Future Directions Use of CRISPR nickases guide RNA guide RNA Nickase Cas9 NHEJ Shen et al. 2014, Nat Meth., 11, 399–402

Future Directions Gene Therapy Genetic liver disease caused by SNP in Fah gene Single SNP results in skipping of exon 8, unstable protein – loss of function NTBC is drug which allows mice to survive despite disease. After CRISPR of SNP, NTBC withdrawl -> Selective pressure of Adult mice -> injection of CRISPR. 1/250 hepatocytes modified by this approach -> selective pressure -> healthy mouse. Genetic Disorders -> Correction of mutations Other potential gene therapy -> HIV “receptor” CCR5 in T-Cells.

Future Directions George Church, Harvard – inventor of CRISPR genome editing Insulate permafrost, protecting trapped greenhouse gases Graze arctic tundra functioning grassland CRISPRs Mammoth genes into Asian elephant

UoL cloning service -> PROTEX Further information www.genome-engineering.org www.horizondiscovery.com UoL cloning service -> PROTEX

Acknowledgements Peng Gong Mike Kaiser Rath Rajmohan David McVey Maryam Ghaderi Najafabadi Sarah Andrews Noor Shamki Gavin Morris Tom Webb Nilesh Samani