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Cited by 283

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Development of 2A peptide-based strategies in the design of multicistronic vectors

Szymczak, Andrea L, Vignali, Dario AA·2005·Expert Opinion on Biological Therapy

Abstract

As science progresses in its understanding of diseases and their treatment, advances have been made in the biotechnology used in disease therapy. Most gene therapy approaches utilise viral vectors to deliver genes of interest. However, multiple proteins are often involved in disease processes and there is often a need to efficiently deliver more than one gene. Researchers have employed several strategies to accomplish this goal. When designing vectors to express multiple genes, there are several factors that need to be taken into account, including cell type, the activity of the protein of interest and subcellular protein localisation. In most cases, it is ideal for each protein to be expressed at comparable levels, a leading issue with traditional strategies for multigene expression. This review describes some of the techniques that have been used to express multiple genes, and will focus on the use of 2A peptides or 2A peptide-like sequences in the design of multicistronic vectors that may alleviate some of these issues.

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Metadata

Authors
Szymczak, A. L., & Vignali, D. A.
Venue
Expert Opinion on Biological Therapy
Published
2005-05
Volume
5
Issue
5
Pages
627-638
ISSN
  • 1471-2598 (ISSN-L)
  • 1744-7682
OpenAlex
W1982048287
Cited by
283
References
1
FWCI
2.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development of 2A peptide-based strategies in the design of multicistronic vectors. https://app.cochat.ai/papers/10.1517/14712598.5.5.627
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Szymczak, A. L., & Vignali, D. A. (2005). Development of 2A peptide-based strategies in the design of multicistronic vectors. Expert Opinion on Biological Therapy. https://doi.org/10.1517/14712598.5.5.627

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.