Multi-input biocomputer gene circuits for therapeutic application

التفاصيل البيبلوغرافية
العنوان: Multi-input biocomputer gene circuits for therapeutic application
المؤلفون: Yaakov Benenson, David Schweingruber, Jiten Doshi, Judith Johanna Jaekel, Vasileios Cheras
المصدر: Current Opinion in Systems Biology. 28:100371
بيانات النشر: Elsevier BV, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Gene Circuits, Interface (Java), Computer science, Applied Mathematics, Cellular functions, Computational biology, Human cell, General Biochemistry, Genetics and Molecular Biology, Computer Science Applications, law.invention, Synthetic biology, ComputingMethodologies_PATTERNRECOGNITION, law, Modeling and Simulation, Multi input, Drug Discovery, Biocomputer, AND gate
الوصف: Clinical approvals of gene and cell therapies in recent years, and advances in our ability to engineer complex cellular functions using synthetic biology have fueled interest in merging these two approaches to develop and deploy ever more sophisticated treatments. One area of interface between synthetic biology tools and therapeutics comprises synthetic gene circuits that ‘compute’ a response in a programmable fashion using multiple biomolecular inputs. The potential therapeutic utility of such circuits hinges on their ability to perform logical integration of inputs linked to the human cell phenotype. AND logic increases response specificity, OR logic enables targeting heterogeneous cell populations, and NOT logic provides additional safety. We review recent efforts to implement input sensing and logical integration capabilities in cell, gene, RNA, and microbiome-based therapies. With therapeutic candidates using biomolecular computation already in clinical trials, the approach is poised to revolutionize the field of advanced therapies in the years to come.
تدمد: 2452-3100
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::42f128bf46e2ac551d3553a97e542211Test
https://doi.org/10.1016/j.coisb.2021.100371Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........42f128bf46e2ac551d3553a97e542211
قاعدة البيانات: OpenAIRE