Relevant bibliographies by topics / Synthetic gene circuits

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Academic literature on the topic 'Synthetic gene circuits'

Author: Grafiati
Published: 18 May 2024

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Dissertations / Theses on the topic "Synthetic gene circuits"

1

Checkley, Stephen. "Engineering tuneable gene circuits in yeast." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/engineering-tuneable-gene-circuits-in-yeast(71dda344-8802-4862-9b29-1a671f4c96ab).html.

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Synthetic biology is an emergent field incorporating aspects of computer science molecular biology-based methodologies in a systems biology context, taking naturally occurring cellular systems, pathways, and molecules, and selectively engineering them for the generation of novel or beneficial synthetic behaviour. This study described the construction of a novel synthetic gene circuit, which utilises the inducible downstream transcriptional activation properties of the pheromone-response pathway in the budding yeast Saccharomyces cerevisiae as the basis for initiation. The circuit was composed
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Boada, Acosta Yadira Fernanda. "A systems engineering approach to model, tune and test synthetic gene circuits." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/112725.

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La biología sintética se define como la ingeniería de la biología: el (re)diseño y construcción de nuevas partes, dispositivos y sistemas biológicos para realizar nuevas funciones con fines útiles, que se basan en principios elucidados de la biología y la ingeniería. Para facilitar la construcción rápida, reproducible y predecible de estos sistemas biológicos a partir de conjuntos de componentes es necesario desarrollar nuevos métodos y herramientas. La tesis plantea la optimización multiobjetivo como el marco adecuado para tratar los problemas comunes que surgen en el diseño racional y el aj
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Zhao, Jia. "Engineering serine integrase-based synthetic gene circuits for cellular memory and counting." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6911/.

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A cellular counting system based on synthetic gene circuits would enable complex biological programming and be used in many biotechnology applications. Although a variety of synthetic memory circuits have been constructed, basic modules that can be assembled into a counting system are lacking. This thesis focuses on engineering a binary counting module, which can alternate between two states in response to a single repeating input signal. The highly directional large serine bacteriophage integrases were utilised as the basis for the synthetic circuits constructed in this study. Integrases and
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Troisi, Lucie. "Development of a new class of synthetic gene circuits based on protein-protein interactions." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS728.

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La biologie synthétique promet de révolutionner la façon dont les scientifiques manipulent et analysent les systèmes vivants. Dans ce projet, nous proposons de développer une nouvelle classe de réseaux de gènes synthétiques, basée sur la compétition entre la forme active et inactive d'un facteur de transcription synthétique. Afin de déterminer les paramètres moléculaires et les topologies requises pour une fonction voulue, nous utilisons une approche in silico évolutionnaire couplée à de la modélisation. Avec cette méthodologie, nous voulons construire des circuits à multiples entrées, ainsi q
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Bandiera, Lucia <1988&gt. "Effects of Transcriptional and Post-Transcriptional Control Mechanisms on Biological Noise in Synthetic Gene Circuits." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7403/1/Bandiera_Lucia_Tesi.pdf.

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Synthetic Biology is an interdisciplinary research field seeking to correct faulty cellular processes or implement predictable de-novo tasks by engineering biological systems. In this perspective, the potential of developing biosynthetic devices of industrial and medical relevance is hindered by the requirement of accounting for, controlling and finally exploiting the randomness of biochemical events through which biological complexity is implemented. In this thesis mathematical modelling and experimental acquisitions of basic synthetic circuits are adopted to guide the selection of gene expr
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Ferry, Quentin R. V. "RNA-based engineering of inducible CRISPR-Cas9 transcription factors for de novo assembly of eukaryotic gene circuits." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:b89c1b17-ea75-4049-a5d0-7cd1b5d0bd8e.

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Synthetic biology in mammalian cells holds great promise for reverse engineering biological processes and rewiring cellular behaviors for therapeutic purpose. An essential aspect in our ability to reprogram the cellular code is the availability of highly orthogonal, inducible transcriptional regulators. CRISPR-based strategies employing effector-domain tethering to the single guide RNA (sgRNA)-dCas9 complex have greatly advanced this field by allowing for precise activation or repression of any gene via simple sgRNA reprograming. However, the implementation of inducible CRISPR-based transcript
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Harris, Andreas William Kisling. "The design of gene regulatory networks with feedback and small non-coding RNA." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:e3a323b1-9067-415d-8728-6c70c1b6cf23.

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The objective of the field of Synthetic Biology is to implement novel functionalities in a biological context or redesign existing biological systems. To achieve this, it employs tried and tested engineering principles, such as standardisation and the design-build-test cycle. A crucial part of this process is the convergence of modelling and experiment. The aim of this thesis is to improve the design principles employed by Synthetic Biology in the context of Gene Regulatory Networks (GRNs). Small Ribonucleic Acids (sRNAs), in particular, are focussed on as a mechanism for post-transcriptional
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8

Ao, Xue. "Study of fluctuations in gene regulation circuits with memory." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1428.

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Matsuura, Satoshi. "Synthetic RNA-based logic computation in mammalian cells." Kyoto University, 2019. http://hdl.handle.net/2433/242426.

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Junetha, Syed Jabarulla. "Chemical Biology Approaches for Regulating Eukaryotic Gene Expression." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/202664.

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