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Synthetic epigenetics in yeastKiriakov, Szilvia 09 October 2018 (has links)
Epigenetics is the study of heritable biological variation not related to changes in DNA sequence. Epigenetic processes are responsible for establishing and maintaining transcriptional programs that define cell identity. Defects to epigenetic processes have been linked to a host of disorders, including mental retardation, aging, cancer and neurodegenerative diseases. The ability to control and engineer epigenetic systems would be valuable both for the basic study of these critical cellular processes as well as for synthetic biology. Indeed, while synthetic biology has made progress using bottom-up approaches to engineer transcriptional and signaling circuitry, epigenetic systems have remained largely underutilized. The predictive engineering of epigenetic systems could enable new functions to be implemented in synthetic organisms, including programmed phenotypic diversity, memory, reversibility, inheritance, and hysteresis. This thesis broadly focuses on the development of foundational tools and intellectual frameworks for applying synthetic biology to epigenetic regulation in the model eukaryote, Saccharomyces cerevisiae.
Epigenetic regulation is mediated by diverse molecular mechanisms: e.g. self-sustaining feedback loops, protein structural templating, modifications to chromatin, and RNA silencing. Here we develop synthetic tools and circuits for controlling epigenetic states through (1) modifications to chromatin and (2) self-templating protein conformations. On the former, the synthetic tools we develop make it possible to study and direct how chromatin regulators operate to produce distinct gene expression programs. On the latter, we focus our studies on yeast prions, which are self-templating protein conformations that act as elements of inheritance, developing synthetic tools for detecting and controlling prion states in yeast cells. This thesis explores the application of synthetic biology to these epigenetic systems through four aims:
Aim 1. Development of inducible expression systems for precise temporal expression of epigenetic regulators
Aim 2. Construction of a library of chromatin regulators to study and program chromatin-based epigenetic regulation.
Aim 3. Development of a genetic tool for quantifying protein aggregation and prion states in high-throughput
Aim 4. Dynamics and control of prion switching
Our tools and studies enable a deeper functional understanding of epigenetic regulation in cells, and the repurposing of these systems for synthetic biology toward addressing industrial and medical applications. / 2019-10-08T00:00:00Z
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RNA-based engineering of inducible CRISPR-Cas9 transcription factors for de novo assembly of eukaryotic gene circuitsFerry, Quentin R. V. January 2017 (has links)
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 transcriptional regulators (CRISPR-TRs) has so far been restricted to dCas9 protein engineering and conditional effector tethering. Although elegant, these approaches are limited by dCas9 promiscuous loading of sgRNAs, which hinders their use for the creation of independent multi-gene transcriptional programs. To address this limitation, I have developed a modular framework for the rational design of inducible CRISPR-TR, based on simple and reversible modifications of the sgRNA sequence. At the core of this conceptual framework lies the ability to inactivate native sgRNAs by appending on their 5'-end a short RNA segment, which folds to form a spacer-blocking hairpin (SBH). Base-pairing between the extension and the sgRNA spacer prevents docking of the CRISPR-TR on-target, fully abrogating its activity. Subsequently, I have created inducible SBH variants (iSBH) by replacing the hairpin loop with conditional RNA cleaving units. Using a variety of sensing-loops, I was able to engineer a panel of switchable iSBH-sgRNAs, designed to activate specifically in the presence of protein, oligonucleotide, and small molecule inducers. Leveraging the versatility of this method, I demonstrate that iSBH-sgRNAs expression can be multiplexed to assemble synthetic gene circuits implementing parallel and orthogonal regulation of multiple endogenous gene targets. Finally, I have distilled the design principles derived throughout this project to develop a web tool that automates the creation of iSBH- sgRNAs. Already a valuable addition to the synthetic biology toolkit, iSBH-based inducibility should in theory also be applicate to all CRISPR-Cas9 derivatives (genome editing, epigenetic alteration, DNA labelling, etc.) as well as other newly characterized RNA-guide nucleases from the CRISPR family.
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Linking chemistry and biology: protein sequences / Enlazando química y biología: secuencias de proteínasLaos, Roberto, Benner, Steven A. 25 September 2017 (has links)
En los últimos veinte años el número de genomas completos que han sido secuenciados y depositados en bancos de datos ha crecido dramáticamente. Esta abundancia de información de secuencias ha servido de base para la creación de una disciplina llamada paleogenética. En este artículo, sin ahondar en algoritmos complejos, presentamos algunos conceptos clave para comprender cómo las proteínas han evolucionado con el tiempo. Luego ilustraremos como la paleogenética es utilizada en biotecnología. Estos ejemplos resaltan la conexión entre la química y la biología, dos disciplinas que quizás veinte años atrás parecían ser mucho más distintas que lo que parecen ser hoy. / In the last twenty years, the number of complete genomes that have been sequenced and deposited in data banks has grown dramatically. This abundance in sequence information has supported the creation of the discipline known as paleogenetics. In this article, without going into complex algorithms, we present some key concepts for understanding how proteins have evolved in time. We then illustrate how paleogenetic analysis can be used in biotechnology. These examples highlight the connection between chemistry and biology, two disciplines that twenty years ago seemed to be more different than what they seem to be today.
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Construction of Gene Circuits to Control Cell BehaviorJanuary 2016 (has links)
abstract: Synthetic biology is a novel method that reengineers functional parts of natural genes of interest to build new biomolecular devices able to express as designed. There is increasing interest in synthetic biology due to wide potential applications in various fields such as clinics and fuel production. However, there are still many challenges in synthetic biology. For example, many natural biological processes are poorly understood, and these could be more thoroughly studied through model synthetic gene networks. Additionally, since synthetic biology applications may have numerous design constraints, more inducer systems should be developed to satisfy different requirements for genetic design.
This thesis covers two topics. First, I attempt to generate stochastic resonance (SR) in a biological system. Synthetic bistable systems were chosen because the inducer range in which they exhibit bistability can satisfy one of the three requirements of SR: a weak periodic force is unable to make the transition between states happen. I synthesized several different bistable systems, including toggle switches and self-activators, to select systems matching another requirement: the system has a clear threshold between the two energy states. Their bistability was verified and characterized. At the same time, I attempted to figure out the third requirement for SR – an effective noise serving as the stochastic force – through one of the most widespread toggles, the mutual inhibition toggle, in both yeast and E. coli. A mathematic model for SR was written and adjusted.
Secondly, I began work on designing a new genetic system capable of responding to pulsed magnetic fields. The operators responding to pulsed magnetic stimuli in the rpoH promoter were extracted and reorganized. Different versions of the rpoH promoter were generated and tested, and their varying responsiveness to magnetic fields was recorded. In order to improve efficiency and produce better operators, a directed evolution method was applied with the help of a CRISPR-dCas9 nicking system. The best performing promoters thus far show a five-fold difference in gene expression between trials with and without the magnetic field. / Dissertation/Thesis / Masters Thesis Bioengineering 2016
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Development of CRISPR-RNA Guided Recombinases for Genome EngineeringJanuary 2018 (has links)
abstract: Recombinases are powerful tools for genome engineering and synthetic biology, however recombinases are limited by a lack of user-programmability and often require complex directed-evolution experiments to retarget specificity. Conversely, CRISPR systems have extreme versatility yet can induce off-target mutations and karyotypic destabilization. To address these constraints we developed an RNA-guided recombinase protein by fusing a hyperactive mutant resolvase from transposon TN3 to catalytically inactive Cas9. We validated recombinase-Cas9 (rCas9) function in model eukaryote Saccharomyces cerevisiae using a chromosomally integrated fluorescent reporter. Moreover, we demonstrated cooperative targeting by CRISPR RNAs at spacings of 22 or 40bps is necessary for directing recombination. Using PCR and Sanger sequencing, we confirmed rCas9 targets DNA recombination. With further development we envision rCas9 becoming useful in the development of RNA-programmed genetic circuitry as well as high-specificity genome engineering. / Dissertation/Thesis / Masters Thesis Biology 2018
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Réseaux de régulation chez Escherichia coli / Gene regulatory network in Escherichia coliBaptist, Guillaume 29 August 2012 (has links)
L'adaptation d'une bactérie aux changements de son environnement est contrôlée par un réseau de régulation large et complexe, faisant intervenir de nombreux acteurs et modules différents. Dans ce travail, nous avons étudiés un module de régulation spécifique, contrôlant l'adaptation de la bactérie Escherichia coli à un changement de sources de carbone. Dans un milieu contenant du glucose et de l'acétate, la croissance est divisée en deux phases : les bactéries utilisent préférentiellement le glucose et commencent à métaboliser l'acétate qu'après l'épuisement du glucose. En effet, la présence du glucose réprime la transcription d'un gène nécessaire à la croissance sur acétate, le gène acs (codant pour l'acétyl-CoA synthétase). Le mécanisme régulateur fait intervenir le facteur de transcription Crp-AMPc et le système de transfert de phosphate (PTS), qui permet l'import du glucose. Plusieurs modèles décrivent en détail la cascade de réactions moléculaires à l'origine de cette « répression catabolique ». Cependant, certaines de nos observations expérimentales ne sont pas correctement prédites par les modèles actuels. Ces modèles doivent être révisés ou complétés. L'outil majeur que nous employons pour les expériences est la fusion transcriptionnelle : une région promotrice fusionnée en amont d'un gène rapporteur (GFP, luciferase). Avec ces constructions, nous mesurons la dynamique de l'expression génique dans différentes souches (mutants) et différentes conditions environnementales. Les observations à l'échelle de la population sont corroborées par des mesures similaires à l'échelle de la cellule unique. Nous utilisons cette même technologie pour construire de petits systèmes synthétiques qui sondent davantage le phénomène de répression catabolique. Nous avons ainsi créé un interrupteur génétique dont le fonctionnement est contrôlé par le flux glycolytique et nous avons construit un petit système de communication intercellulaire basé sur la molécule AMPc. Enfin, nous proposons une manière originale de mesurer l'état métabolique des cellules en utilisant la dépendance énergétique de la luciferase. / The adaptation of bacteria to changes in their environment is controlled by a large and complex regulatory network involving many different actors and modules. In this work, we have studied a specific module controlling the adaptation of Escherichia coli to a change in carbon sources. In a medium containing glucose and acetate, growth is divided into two phases : the bacteria preferentially use glucose and start to metabolize acetate only after glucose exhaustion. Indeed, the presence of glucose represses the transcription of a gene needed for growth on acetate : the acs gene (coding for acetyl-CoA synthetase). The regulatory mechanism involves the Crp-cAMP regulator and the phosphate transfer system (PTS), which is responsible for glucose import. Several models describe the cascade of molecular reactions responsible for this « catabolite repression ». However, our work shows that many of our experimental observations are incorrectly predicted by current models. These models have to be amended.We use transcriptional fusion, i.e., the fusion of a promoter region upstream of a reporter gene (GFP, luciferase), to measure the dynamics of gene expression in different genetic backgrounds and environmental conditions. Observations at the population level are corroborated by similar measurements at the single cell level. We use this same technology to construct small synthetic systems that probe further aspects of the phenomenon of catabolite repression. We have thus created a genetic toggle switch controlled by the glycolytic flux and we have built an inter-cellular communication system mediated by cAMP. Finally, we propose a novel way to measure the metabolic state of cells by using the energy dependence of the luciferase enzyme.
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Engineering Cyanobacteria to Convert Carbon Dioxide to Building Blocks for Renewable PlasticsJanuary 2014 (has links)
abstract: The production of monomer compounds for synthesizing plastics has to date been largely restricted to the petroleum-based chemical industry and sugar-based microbial fermentation, limiting its sustainability and economic feasibility. Cyanobacteria have, however, become attractive microbial factories to produce renewable fuels and chemicals directly from sunlight and CO2. To explore the feasibility of photosynthetic production of (S)- and (R)-3-hydroxybutyrate (3HB), building-block monomers for synthesizing the biodegradable plastics polyhydroxyalkanoates and precursors to fine chemicals, synthetic metabolic pathways have been constructed, characterized and optimized in the cyanobacterium Synechocystis sp. PCC 6803 (hereafter Synechocystis 6803). Both types of 3HB molecules were produced and readily secreted from Synechocystis cells without over-expression of transporters. Additional inactivation of the competing PHB biosynthesis pathway further promoted the 3HB production. Analysis of the intracellular acetyl-CoA and anion concentrations in the culture media indicated that the phosphate consumption during the photoautotrophic growth and the concomitant elevated acetyl-CoA pool acted as a key driving force for 3HB biosynthesis in Synechocystis. Fine-tuning of the gene expression levels via strategies, including tuning gene copy numbers, promoter engineering and ribosome binding site optimization, proved critical to mitigating metabolic bottlenecks and thus improving the 3HB production. One of the engineered Synechocystis strains, namely R168, was able to produce (R)-3HB to a cumulative titer of ~1600 mg/L, with a peak daily productivity of ~200 mg/L, using light and CO2 as the sole energy and carbon sources, respectively. Additionally, in order to establish a high-efficiency transformation protocol in cyanobacterium Synechocystis 6803, methyltransferase-encoding genes were cloned and expressed to pre-methylate the exogenous DNA before Synechocystis transformation. Eventually, the transformation efficiency was increased by two orders of magnitude in Synechocystis. This research has demonstrated the use of cyanobacteria as cell factories to produce 3HB directly from light and CO2, and developed new synthetic biology tools for cyanobacteria. / Dissertation/Thesis / Ph.D. Biological Design 2014
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A Tale of Two Theories: Using an Engineered Strain of E. coli to Bridge the Gap Between Quorum Sensing and Diffusion SensingWilson, Cortney E 18 April 2016 (has links)
Cooperation is a trait that is found at all levels of biological organization. Interestingly, cooperation appears to occur in bacteria that produce small, easily diffusible molecules called autoinducers. To understand why bacteria produce these autoinducers, the scientific community has focused on one predominant theory called quorum sensing. Under this theory, bacteria produce autoinducers so they can sense the density of the population. Once a sufficiently high population density is reached, autoinducers initiate the production of a costly gene product that serves to benefit the population. In contrast, a competing theory called diffusion sensing suggests that autoinducers are used by the individual cells and are not used for cooperation. Here, the production of the autoinducer serves as a mechanism to sense environmental conditions. If the environmental conditions are favorable, a costly gene product is produced. To what extent, and under what conditions, are each of these opposing theories valid remains to be identified. In this thesis, an engineered strain of Escherichia coli was used to identify the conditions under which quorum sensing and diffusing sensing can be observed. It was discovered that, depending upon the frequency at which the spatial distribution of the autoinducer and bacteria was disrupted, the population of engineered bacteria displayed hallmarks of either quorum sensing or diffusion sensing. Specifically, when the spatial distribution was disturbed at high or low frequency, quorum sensing was observed. However, when spatial distribution was disturbed at an intermediate frequency, diffusion sensing was observed. Understanding how these disturbances affect survival in bacteria may result in novel treatments for bacterial infections. In more general applications, it may be exploited in the development of alternative mechanisms for controlling invasive species or aid in species reintroduction.
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Non-Enzymatic Copying of Nucleic Acid TemplatesBlain, Jonathan Craig 04 February 2016 (has links)
All known living cells contain a complex set of molecular machinery to support their growth and replication. However, the earliest cells must have been much simpler, consisting of a compartment and a genetic material to allow for Darwinian evolution. To study these intermediates, plausible model `protocells' must be synthesized in the laboratory since no fossils remain. Recent work has shown that fatty acids can self-assemble into vesicles that are able to grow and divide through simple mechanisms. However, a self-replicating protocell genome has not yet been developed. Here we discuss studies of systems that allow for the copying of nucleic acid templates without enzymes and how they could be developed into a genetic material.
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Méthodologie et outils bioinformatiques d'aide à la conception de systèmes biologiques synthétiques pour de nouveaux diagnostics en santé humaine / Methodology and bioinformatics tools to design synthetic biological systems for new human health diagnosisRialle, Stéphanie 01 October 2010 (has links)
La biologie synthétique est une discipline en pleine expansion visant à concevoir et construire des systèmes biologiques possédant des fonctions qui n'existent pas dans la nature. Elle se fonde sur des principes d'ingénierie pour rationnaliser la conception de tels systèmes. Le projet CompuBioTic a pour objectif le développement d'un nouveau type de diagnostic du cancer colorectal, se fondant sur une approche de biologie synthétique. Un choix stratégique a été fait et consiste à vouloir développer un système non vivant, ne nécessitant pas de cellule hôte et fondé sur l'utilisation de réseaux protéiques plutôt que génétiques. Très peu de méthodologies et d'outils ont été développés pour faciliter la conception de ce type de système. Cette thèse propose une méthodologie en trois points : conception, simulation et validation expérimentale ainsi que deux outils bioinformatiques, développés pour aider à la conception de réseaux biochimiques synthétiques. Tout d'abord, CompuBioTicDB est une base de données qui regroupe et annote des dispositifs fonctionnels et des molécules réalisant des processus (protéines et petites molécules) pouvant être exploités dans un contexte de biologie synthétique. Deuxièmement, BioNetCAD est un outil permettant de concevoir un réseau biochimique composé de molécules réelles à partir d'un réseau abstrait. BioNetCAD facilite également la simulation spatio-temporelle du système conçu grâce à un lien vers le logiciel HSim. Des portes logiques moléculaires et un dispositif de détection du glucose ont ainsi été conçus, modélisés et validés expérimentalement. Les principes d'un système pour le diagnostic du cancer colorectal sont également proposés. / Synthetic biology is a growing discipline which aims to design and construct biological systems with functions that do not exist in nature. It is based on engineering principles to rationalize the design such systems. The CompuBioTic project aims at the development of a new system for the diagnosis of the colorectal cancer, based on a synthetic biology approach. A strategic choice has been done and consists in wanting to develop a non-living system, which does not require a host cell and which is based on the use of protein rather than genetic networks. Very few methodologies and tools have been developed to facilitate the design of such systems. This thesis proposes a methodology in three steps: design, simulation and experimental validation, as well as two bioinformatics tools, developed to assist the design of synthetic biochemical networks. Firstly, CompuBioTicDB is a database that registers and annotates functional devices and molecules carrying processes (proteins and small molecules) that can be exploited in a context of synthetic biology. Secondly, BioNetCAD is a tool for designing a biochemical network composed of real molecules from an abstract network. BioNetCAD also facilitates spatiotemporal simulation of the designed system with a link to the HSim software. Molecular logic gates and a device for detecting glucose have been designed, modeled and then validated experimentally. The principles of a system for the diagnosis of colorectal cancer are also proposed.
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