Genetic Engineering Publications - GEG Tech top picks
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Improved delivery of Cas9 protein/gRNA complexes using lipofectamine CRISPRMAX

Improved delivery of Cas9 protein/gRNA complexes using lipofectamine CRISPRMAX | Genetic Engineering Publications - GEG Tech top picks | Scoop.it
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Using a systematic approach, the authors screened 60 transfection reagents using six commonly-used mammalian cell lines and identified a novel transfection reagent (named Lipofectamine CRISPRMAX). Based on statistical analysis, the genome modification efficiencies in Lipofectamine CRISPRMAX-transfected cell lines were 40 or 15 % higher than those in Lipofectamine 3000 or RNAiMAX-transfected cell lines, respectively.

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Transgenic mouse models generated by hydrodynamic transfection for genetic studies of liver cancer and preclinical testing of anti-cancer therapy

Transgenic mouse models generated by hydrodynamic transfection for genetic studies of liver cancer and preclinical testing of anti-cancer therapy | Genetic Engineering Publications - GEG Tech top picks | Scoop.it
BigField GEG Tech's insight:

Recently, a simple and inexpensive liver-specific transgenic approach was developed, in which a hydrodynamics-based transfection (HT) method was coupled with the Sleeping Beauty transposase system. Various HT models in which different oncogenic pathways are activated and/or tumor-suppressing pathways inactivated have been developed in recent years. The applicability of HT models in liver cancer research is expected to broaden and ultimately elucidate the cooperation between oncogenic signaling pathways and aid in designing molecular therapy to target altered pathways.


www.geg-tech.com/Vectors

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High content analysis platform for optimization of lipid mediated CRISPR-Cas9 delivery strategies in human cells

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This work describes a new high-throughput screening platform for the optimization of CRISPR-Cas9 delivery strategies. The results suggest design principles for the development of materials and transfection strategies with lipid-based materials. The presented platform could be applied to rapidly optimize materials for gene-editing in a variety of cell/tissue types in order to advance genomic medicine, regenerative biology and drug discovery.

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