Literature DB >> 30852360

Genetic circuitry for personalized human cell therapy.

Fabian Tolle1, Pascal Stücheli1, Martin Fussenegger2.   

Abstract

Synthetic biology uses engineering principles to design and assemble biological components and systems for a variety of applications. On the basis of genetic engineering, synthetic gene switches can be interconnected to construct complex gene circuits, capable of sensing and integrating diverse input signals for precise spatiotemporal control of target gene expression in living cells. Designer cells can be equipped with advanced gene circuitry enabling them to react precisely to pre-programmed combinations of conditions, automatically triggering a specified response, such as therapeutic protein production. Such cells are promising therapeutic modalities for applications where traditional medical treatments have limitations. Herein, we highlight selected recent examples of designer cells with engineered gene circuits targeted toward applications in personalized human medicine.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 30852360     DOI: 10.1016/j.copbio.2019.02.003

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  4 in total

Review 1.  Biological Cells as Therapeutic Delivery Vehicles.

Authors:  Lucas M Bush; Connor P Healy; Shwan B Javdan; Jonathan C Emmons; Tara L Deans
Journal:  Trends Pharmacol Sci       Date:  2020-12-17       Impact factor: 14.819

2.  Orthogonal control of gene expression in plants using synthetic promoters and CRISPR-based transcription factors.

Authors:  Shaunak Kar; Yogendra Bordiya; Nestor Rodriguez; Junghyun Kim; Elizabeth C Gardner; Jimmy D Gollihar; Sibum Sung; Andrew D Ellington
Journal:  Plant Methods       Date:  2022-03-29       Impact factor: 4.993

3.  Large-scale genome editing based on high-capacity adenovectors and CRISPR-Cas9 nucleases rescues full-length dystrophin synthesis in DMD muscle cells.

Authors:  Francesca Tasca; Marcella Brescia; Qian Wang; Jin Liu; Josephine M Janssen; Karoly Szuhai; Manuel A F V Gonçalves
Journal:  Nucleic Acids Res       Date:  2022-07-22       Impact factor: 19.160

4.  An Account of Models of Molecular Circuits for Associative Learning with Reinforcement Effect and Forced Dissociation.

Authors:  Zonglun Li; Alya Fattah; Peter Timashev; Alexey Zaikin
Journal:  Sensors (Basel)       Date:  2022-08-07       Impact factor: 3.847

  4 in total

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