Sentence examples for next-generation vector from inspiring English sources

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Continuing analysis of these lncRNAs will provide new insights in vector biology that can be applied to develop next-generation vector control methods.

This next-generation vector carries a self-complementary expression cassette to enhance expression at lower doses and encodes a codon-optimized transgene to improve translational efficiency.

Regarding in vivo validation, these next-generation vector systems endow the capacity to rapidly evaluate a cancer gene target in nearly any xenograft or syngeneic transplantable tumour model.

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These efforts resulted in next generation vectors with enhanced capabilities, that is increased efficiency of cell transduction, targeted transduction of previously non-permissive cell types, escape from antibody neutralization and off-target free in vivo delivery of vector genomes.

In order to overcome these disadvantages of the first-generation Ad vectors, next-generation Ad vectors, including fiber-mutant Ad vectors and helper-dependent Ad vectors, have been developed [ 6– 8].

Ultimately, combined with other safety features in vector design, next-generation BinMLV vectors can improve the safety of gammaretroviral vectors for gene therapy.

The ability of next-generation shRNA vectors to induce gene knockdown in transplantable cancer cells after the onset of disease in the recipient host is also an advantageous feature for in vivo pooled RNAi screening.

Moreover, next-generation shRNA vectors will facilitate the rapid and clinically relevant evaluation of the screening hits in animal models, as well as the identification of new targets in a broader array of clinically significant in vivo screens.

First, the development of next-generation inducible shRNA vectors and advances in mouse shRNA transgenic technology will make in vivo validation easier and more clinically relevant.

Taken together, these data highlight the added benefits of next-generation inducible shRNA vectors that, when coupled with several recent innovations in barcode deconvolution and bioinformatics (e.g., Sims et al, 2011), greatly improve the utility of pooled RNAi screens in vivo for the discovery of clinically relevant cancer gene targets.

Here, we describe a next-generation, highly versatile transfection vector set that facilitates advancing experimental genetic strategies towards a genome-wide scale.

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