| Literature DB >> 33192264 |
Fábio Duarte1,2, Nicole Déglon1,2.
Abstract
Central nervous system (CNS) disorders have a social and economic burden on modern societies, and the development of effective therapies is urgently required. Gene editing may prevent or cure a disease by inducing genetic changes at endogenous loci. Genome editing includes not only the insertion, deletion or replacement of nucleotides, but also the modulation of gene expression and epigenetic editing. Emerging technologies based on ZFs, TALEs, and CRISPR/Cas systems have extended the boundaries of genome manipulation and promoted genome editing approaches to the level of promising strategies for counteracting genetic diseases. The parallel development of efficient delivery systems has also increased our access to the CNS. In this review, we describe the various tools available for genome editing and summarize in vivo preclinical studies of CNS genome editing, whilst considering current limitations and alternative approaches to overcome some bottlenecks.Entities:
Keywords: CNS; CRISPR/Cas; TALEs; ZFs; genome editing
Year: 2020 PMID: 33192264 PMCID: PMC7642486 DOI: 10.3389/fnins.2020.579062
Source DB: PubMed Journal: Front Neurosci ISSN: 1662-453X Impact factor: 4.677
Comparison of the different genome editing approaches.
| Editing approaches | Advantages | Disadvantages |
| Gene editing | Efficient Permanent All possible modifications: insertion, deletion and substitution | Off-target cleavage Chromosomal instability Target sequence restriction (PAM for CRISPR; 5’-T for TALENs) NHEJ is heterogeneous HDR is inefficient (especially in post-mitotic cells) |
| Base editing | Permanent No need to induce DSBs Few or no indels | Off-target at both DNA and RNA level Bystander base editing Target sequence restriction (PAM) Efficiency is low Only substitutions are possible |
| Transcriptional regulation | Physiological expression level Low off-target effects Cell reprogramming | Efficacy depends on the level of gene expression Large genomic areas can be affected Most modifications are not permanent |
| Epigenetic editing | Long-term modification Cell reprogramming | Lack of information on epigenetic marks for some targeted genes May affect large genomic regions Simultaneous modification of several epigenetic marks may be necessary |
FIGURE 1Gene editing tools and therapeutic approaches. (A) Gene editing tools are based on TALEs, ZFs and CRISPR/Cas platforms. Site-specific TALENs and ZFNs consist of two modules of TALEs and ZFs fused to the FokI nuclease. Both modules recognize adjacent sequences in opposite strands to promote the dimerization of FokI and sequence cleavage in a staggered fashion. In contrast, CRISPR/Cas systems hold intrinsic nuclease activity. Cas nucleases or Cas nickases are explored to produce either DSBs or SSBs in the targeted sequence, respectively. Alternatively, paired nickases targeting adjacent sequences in opposite strands generate staggered DSBs. (B) Gene editing therapeutic approaches rely on the intrinsic DNA repair mechanisms NHEJ and HDR after generation of DSBs. Gene disruption by NHEJ involves the introduction of indels after generation of DSBs at the coding region of a pathogenic gene, resulting in the formation of a premature stop codon. Gene correction by NHEJ implicates the targeting of the non-coding region of a pathogenic gene. It includes the removal of deleterious exons by the simultaneous cleavage in both upstream and downstream intronic regions and/or disruption of splicing regulation sites. Both gene repair and gene insertion by HDR involve the use of donor templates containing intended sequences flanked by homology arms. In the first case, the template is targeted to the pathogenic gene and contains the corrected sequence allowing gene restoration. In contrast, gene insertion by HDR targets safe harbor locations in the genome to introduce therapeutic transgene expression cassettes.
FIGURE 2Base editing tools and therapeutic approaches. (A) Base editors consist of Cas nickases fused to cytosine (CBEs) or adenine ssDNA deaminases (ABEs). CBEs are fused to either AID or APOBEC1 (pink), which convert C into U, whereas ABEs are fused to an evolved TadA (TadA*) followed by a wild-type TadA fusion (brown), which convert A into I. The consequent G:U and T:I mismatches are then corrected by the cellular DNA repair mechanisms. To favor the correction of the non-edited nucleotides by the DNA mismatch repair machinery, the nickase introduces a “nick” in the unedited strand. The correction of the non-edited strand results in a final conversion of C:G into T:A base pairs and A:T into G:C base pairs by CBEs and ABEs, respectively. CBEs are usually fused to the UGI to prevent the rapid removal of uracil by BER (blue). (B) Base editing therapeutic approaches include the repair of pathogenic genes by correcting point mutations or the inactivation of toxic genes by generating a premature stop codon.
FIGURE 3Transcriptional regulators, epigenetic modifiers, and therapeutic approaches. (A) Gene expression regulation tools are generated by fusing TALEs, ZFs or dCas proteins to scaffold transcriptional modulators or to epigenetic modifiers (B) Therapeutic approaches by transcriptional regulation. Transcriptional activation or repression is explored to upregulate therapeutic genes or to downregulate deleterious genes, respectively. Transcriptional activators are targeted at the promoter region whereas transcriptional repressors are usually targeted downstream to the transcription starting site to further block the RNA polymerase activity. (C) Therapeutic approaches through histone modification. Histone (de)acetylases and (de)methylases are the most common employed enzymes to modify histone marks and the epigenetic activation or inhibition effect of such modifications is frequently context-specific. (D) Therapeutic approaches by editing the DNA methylation state. Epigenetic editors based on DNA demethylases are used to activate gene expression whereas the ones based on DNA methylases result in gene expression inhibition.
Preclinical studies of genome editing for CNS pathologies.
| Editing approach | Disease | Gene | Model | Editing tool | Delivery | Selectivity | Target efficiency (indels/expression) | Behavioral improvements | Publication |
| MECP2 duplication syndrome | Mecp2 | MECP2-TG mouse | SpCas9 | AAV-split system | Non-selective | 50% reduction MECP2 protein | Improvements in social recognition | ||
| Fragile X syndrome | mGluR5 | Fmr1 knockout mouse | SpCas9 | CRISPR-Gold RNP complexes | Non-selective | 14.6% indels 40–50% reduction mGluR5 mRNA and protein | Rescued the excessive digging and repetitive jumping | ||
| Alzheimer’s disease | Bace1 | 5XFAD and APP-KI mouse | SpCas9 | Amphiphilic RNP complexes | Non-selective | 45% indels 34% reduction Bace1 mRNA | Behavioral improvements | ||
| APP | WT mouse | SpCas9 | AAV9-split system | Non-selective | 50% reduction full-lenght APP protein | No data | |||
| APP-SW | Tg2576 mouse | SpCas9 | AAV9-split system | Mismatch-based | 1.3% indels (APPsw alleles) | No data | |||
| DFNA36 (hearing loss) | Tmc1 | Beethoven mouse (Bth/wt) | SpCas9 | Cationic lipid-mediated RNP complexes | Mismatch-based | 1.8% indels (mutant alleles) | Protection of the acoustic behavioral reflexes | ||
| Tmc1 | Beethoven mouse (Bth/wt) | SaCas9-KKH | AAV-Anc80L65 | PAM-based | 2.2% indels (mutant alleles) | Stable maintenance of auditory brainstem responses | |||
| ALS | SOD1 | G93A-SOD1 mouse | SaCas9 | AAV9 | Non-selective | 0.2–0.4% indels 65% reduction SOD1 protein | Improved survival, motor deficits and muscular strenght | ||
| Huntington’s disease | HTT | HD140Q-KI mouse | SpCas9 | AAV-split system | Non-selective | 10–80% reduction HTT protein | Improved motor deficits | ||
| HTT | BacHD mouse | SpCas9 | AAV1-split system | PAM-based | 50% reduction mHTT mRNA | No data | |||
| HTT | LV-hHTT-82Q mouse | SpCas9 (self-inactivating) | LV-split system | Non-selective | 30% HTT indels (exogenous) | No data | |||
| LCA10 | CEP290 | CEP290 IVS26-KI mouse and monkeys | SaCas9 | AAV5 | Non-selective | 21.4% and 27.9% indels | No data | ||
| Sandhoff and Tay–Sachs diseases | ALB | Sandhoff mouse | SaCas9 + dsTemplate-HEXM | AAV8 | Non-selective | 144- and 17-fold increase MUGS and MUG activities (indirect) | Improved motor deficits (totarod test) | ||
| Retinitis pigmentosa | Pde6b | Rodless (rd1) mouse | SpCas9 + RecA-MS2 + sgRNA-MS2 loops + ssTemplate | Plasmid electroporation | Non-selective | 2% gene correction | Partial rescue of the pupillary light reflexes | ||
| DFNB7/B11 (hearing loss) | Tmc1 | Tmc1 (Y182C/Y182C) mouse | SpCas9-based AID-BE4max | AAV-Anc80L65-split system | Non-selective | 2.3% gene correction | Improved auditory brainstem responses | ||
| Parkinson’s disease | GDNF | 6-OHDA rat | GDNF-6ZF-p65 | AAV2 | Non-selective | 60% increase GDNF mRNA | Rescued motor deficits | ||
| Alzheimer’s disease | Dlg4 | AβPPswe/PS-1 mouse | PSD95-6ZF-VP64 | AAV-PHP.B | Non-selective | 31% increase Bace1 mRNA | Rescued memory deficits | ||
| Spinal cord injury | VEGF-A | Aneurysm clip compression rat | VEGF-3ZF-p65 | Ad and AAV2 | Non-selective | 33% increase VEGF mRNA 55% increase VEGF protein | Improved motor deficits | ||
| Traumatic brain injury | VEGF-A | Unilateral FPI rat | VEGF-3ZF-p65 | Ad and AAV2 | Non-selective | 25–50% increase VEGF protein | Improved motor deficits (rotarod test) | ||
| Huntington’s disease | HTT | R6/2 mouse | mHTT-6ZF-KRAB | AAV1 | CAG selective (120 repeats) | 30% reduction mHTT mRNA | Improved motor deficits and clasping behavior | ||
| HTT | R6/2 and HdhQ50 mouse | mHTT-6ZF-KRAB | AAV1 | CAG selective (50 repeats) | 55–67% reduction mHTT mRNA | Improved clasping behavior | |||
| Angelman syndrome | Snurf/Snrpn | Maternally Ube3a-deficient mouse | UBE3a-6ZF-KRAB | HIV TAT cell-penetrating peptide | Non-selective | 20% increase UBE3A mRNA (indirect) | No data |