Literature DB >> 31748752

Engineering, delivery, and biological validation of artificial microRNA clusters for gene therapy applications.

Vivek Bhaskaran1, Yizheng Yao1, Fengfeng Bei1, Pierpaolo Peruzzi2.   

Abstract

The cellular machinery regulating microRNA biogenesis and maturation relies on a small number of simple steps and minimal biological requirements and is broadly conserved in all eukaryotic cells. The same holds true in disease. This allows for a substantial degree of freedom in the engineering of transgenes capable of simultaneously expressing multiple microRNAs of choice, allowing a more comprehensive modulation of microRNA landscapes, the study of their functional interaction, and the possibility of using such synergism for gene therapy applications. We have previously engineered a transgenic cluster of functionally associated microRNAs to express a module of suppressed microRNAs in brain cancer for therapeutic purposes. Here, we provide a detailed protocol for the design, cloning, delivery, and utilization of such artificial microRNA clusters for gene therapy purposes. In comparison with other protocols, our strategy effectively decreases the requirements for molecular cloning, because the nucleic acid sequence encoding the combination of the desired microRNAs is designed and validated in silico and then directly synthesized as DNA that is ready for subcloning into appropriate delivery vectors, for both in vitro and in vivo use. Sequence design and engineering require 4-5 h. Synthesis of the resulting DNA sequence requires 4-6 h. This protocol is quick and flexible and does not require special laboratory equipment or techniques, or multiple cloning steps. It can be easily executed by any graduate student or technician with basic molecular biology knowledge.

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Year:  2019        PMID: 31748752      PMCID: PMC7089775          DOI: 10.1038/s41596-019-0241-8

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  1 in total

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Journal:  Front Genet       Date:  2015-12-02       Impact factor: 4.599

  1 in total
  5 in total

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Review 2.  Decoding microRNA drivers in atherosclerosis.

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Journal:  Biosci Rep       Date:  2022-07-29       Impact factor: 3.976

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Journal:  Mol Med Rep       Date:  2022-05-18       Impact factor: 3.423

4.  A tumor-suppressive circular RNA mediates uncanonical integrin degradation by the proteasome in liver cancer.

Authors:  Liang Shi; Boqiang Liu; Dan-Dan Shen; Peijian Yan; Yanan Zhang; Yuanshi Tian; Lidan Hou; Guangyi Jiang; Yinxin Zhu; Yuelong Liang; Xiao Liang; Bo Shen; Hong Yu; Yan Zhang; Yifan Wang; Xing Guo; Xiujun Cai
Journal:  Sci Adv       Date:  2021-03-24       Impact factor: 14.136

5.  SALL4 and microRNA: The Role of Let-7.

Authors:  Jun Liu; Madeline A Sauer; Shaza G Hussein; Junyu Yang; Daniel G Tenen; Li Chai
Journal:  Genes (Basel)       Date:  2021-08-24       Impact factor: 4.096

  5 in total

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