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Vectorology - GEG Tech top picks
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BigField GEG Tech's insight:
To optimize Zinc Finger Nuclease (ZFN) delivery from a single lentiviral vector (LV), the authors used a codon swapping strategy to both drastically disrupt sequence identity between ZFN monomers and to reduce sequence repeats within a monomer sequence. In this way, they observed a ZFN activity up to 7 fold increased compared to non optimized ZFN LV. Furthermore, they reported for the first time successful ZFN-induced targeted DNA double-strand breaks in primary cells (hepatocytes) and in vivo (liver) after delivery of a single non integrating lentiviral vector encoding two ZFNs. 
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BigField GEG Tech's insight:
Thanks to Non Integrating Lentiviral Vectors which express ZFN, the scientists demonstrated efficient targeted cleavage at the beta-globin locus with minimal off-target modification. By co-delivering a homologous donor template, high levels of gene modification were achieved in CD34+ hematopoietic stem and progenitor cells (HSPCs).
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Molecular Therapy — Nucleic Acids is a new international all open-access journal publishing top-quality basic, translational and clinical research in the broad fields of nucleic acid-based therapeutics to treat and/or correct genetic and acquired disease.
BigField GEG Tech's insight:
The authors used non-integrating lentivirus (NILV) for transient expression of ZFNs and pseudotyped the virus with HIV-envelope for targeted delivery to CD4+ T cells. Both activated and resting primary CD4+ T cells transduced with CCR5-ZFNs NILV showed resistance to HIV-1 infection in vitro. GEG-tech offers a large choice in Non Integrating Lentiviral Vectors http://geg-tech.com/products/vectors.html?gamme=Lenti-ONE%E2%84%A2+Epi
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In this study, the authors tested site specific insertion into CCR5 and AAVS1 loci by homologous recombination (HR) thanks to the combination of ZFN and AAV. After transfection of human hematopoietic stem and progenitor cells (HSPCs) with mRNA ZFN and transduction of AAV with a GFP cassette, they evaluated a HR frequency between 17% and 43%. These results provide a strategy for more robust application of genome-editing technologies in HSPCs.
www.geg-tech.com/Vectors