Literature DB >> 26334368

Synthetic Biology--Toward Therapeutic Solutions.

Viktor Haellman1, Martin Fussenegger2.   

Abstract

Higher multicellular organisms have evolved sophisticated intracellular and intercellular biological networks that enable cell growth and survival to fulfill an organism's needs. Although such networks allow the assembly of complex tissues and even provide healing and protective capabilities, malfunctioning cells can have severe consequences for an organism's survival. In humans, such events can result in severe disorders and diseases, including metabolic and immunological disorders, as well as cancer. Dominating the therapeutic frontier for these potentially lethal disorders, cell and gene therapies aim to relieve or eliminate patient suffering by restoring the function of damaged, diseased, and aging cells and tissues via the introduction of healthy cells or alternative genes. However, despite recent success, these efforts have yet to achieve sufficient therapeutic effects, and further work is needed to ensure the safe and precise control of transgene expression and cellular processes. In this review, we describe the biological tools and devices that are at the forefront of synthetic biology and discuss their potential to advance the specificity, efficiency, and safety of the current generation of cell and gene therapies, including how they can be used to confer curative effects that far surpass those of conventional therapeutics. We also highlight the current therapeutic delivery tools and the current limitations that hamper their use in human applications.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  synthetic biology

Mesh:

Year:  2015        PMID: 26334368     DOI: 10.1016/j.jmb.2015.08.020

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  12 in total

1.  Bottom-up approaches in synthetic biology and biomaterials for tissue engineering applications.

Authors:  Mitchell S Weisenberger; Tara L Deans
Journal:  J Ind Microbiol Biotechnol       Date:  2018-03-19       Impact factor: 3.346

Review 2.  Addressing biological uncertainties in engineering gene circuits.

Authors:  Carolyn Zhang; Ryan Tsoi; Lingchong You
Journal:  Integr Biol (Camb)       Date:  2015-12-17       Impact factor: 2.192

3.  Synthesis of RNA-based gene regulatory devices for redirecting cellular signaling events mediated by p53.

Authors:  Xinbo Huang; Mingxia Wang; Yuchen Liu; Yaoting Gui
Journal:  Theranostics       Date:  2021-03-04       Impact factor: 11.556

4.  shRNA targeting long non-coding RNA CCAT2 controlled by tetracycline-inducible system inhibits progression of bladder cancer cells.

Authors:  Jianfa Li; Chengle Zhuang; Yuchen Liu; Mingwei Chen; Qing Zhou; Zhicong Chen; Anbang He; Guoping Zhao; Yinglu Guo; Hanwei Wu; Zhiming Cai; Weiren Huang
Journal:  Oncotarget       Date:  2016-05-17

5.  Development of a genetic sensor that eliminates p53 deficient cells.

Authors:  Jovan Mircetic; Antje Dietrich; Maciej Paszkowski-Rogacz; Mechthild Krause; Frank Buchholz
Journal:  Nat Commun       Date:  2017-11-13       Impact factor: 14.919

6.  Development of SimCells as a novel chassis for functional biosensors.

Authors:  Cordelia P N Rampley; Paul A Davison; Pu Qian; Gail M Preston; C Neil Hunter; Ian P Thompson; Ling Juan Wu; Wei E Huang
Journal:  Sci Rep       Date:  2017-08-03       Impact factor: 4.379

Review 7.  Tuning up Transcription Factors for Therapy.

Authors:  Attila Becskei
Journal:  Molecules       Date:  2020-04-20       Impact factor: 4.411

Review 8.  Genetic circuits to engineer tissues with alternative functions.

Authors:  C P Healy; T L Deans
Journal:  J Biol Eng       Date:  2019-05-03       Impact factor: 4.355

9.  Rewiring of endogenous signaling pathways to genomic targets for therapeutic cell reprogramming.

Authors:  Krzysztof Krawczyk; Leo Scheller; Hyojin Kim; Martin Fussenegger
Journal:  Nat Commun       Date:  2020-01-30       Impact factor: 14.919

10.  Nonimmune cells equipped with T-cell-receptor-like signaling for cancer cell ablation.

Authors:  Ryosuke Kojima; Leo Scheller; Martin Fussenegger
Journal:  Nat Chem Biol       Date:  2017-11-13       Impact factor: 15.040

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