Dr. rer. nat. Gita Naseri

Dr. Naseri entwickelt Plattformen zur nachhaltigen Biosynthese seltener Naturstoffe in Hefezellen (Pichia pastoris und Saccharomyces cerevisiae). Ihr aktueller Fokus liegt auf der Konstruktion von Werkzeugen zur präzisen Kontrolle von Genexpression — insbesondere künstliche Transkriptionsfaktoren und schnelle Genome-Editing-Techniken — um komplexe biosynthetische Stoffwechselwege in Mikroorganismen effizient zu assemblieren und zu optimieren. Dies ermöglicht Unternehmen in Pharmazie, Chemie und Biotechnologie, schwer zugängliche Naturstoffe (z. B. Wirkstoffe, Spezialchemikalien) kostengünstig und umweltschonend durch Fermentation herzustellen, statt sie aus der Natur zu extrahieren oder chemisch zu synthetisieren. Die Methoden adressieren ein Kernproblem der Metabolic Engineering: die Balance mehrerer Enzyme in langen Biosyntheserouten bei gleichzeitig robustem Zellwachstum.

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• Eine umfassende Plattform für die nachhaltige Biosynthese von seltenen Naturstoffen in Pichia pastoris

  Quelle ↗

  Förderer: DFG Nachwuchsgruppe Zeitraum: 04/2024 - 03/2030 Projektleitung: Dr. rer. nat. Gita Naseri

• Eine umfassende Plattform für die nachhaltige Biosynthese von seltenen Naturstoffen in Pichia pastoris

  Quelle ↗

  Förderer: DFG Nachwuchsgruppe Zeitraum: 04/2024 - 03/2027 Projektleitung: Dr. rer. nat. Gita Naseri

• Application of combinatorial optimization strategies in synthetic biology

  2020

  Nature Communications · DOI

  In the first wave of synthetic biology, genetic elements, combined into simple circuits, are used to control individual cellular functions. In the second wave of synthetic biology, the simple circuits, combined into complex circuits, form systems-level functions. However, efforts to construct complex circuits are often impeded by our limited knowledge of the optimal combination of individual circuits. For example, a fundamental question in most metabolic engineering projects is the optimal level of enzymes for maximizing the output. To address this point, combinatorial optimization approaches have been established, allowing automatic optimization without prior knowledge of the best combination of expression levels of individual genes. This review focuses on current combinatorial optimization methods and emerging technologies facilitating their applications.

• Plant-Derived Transcription Factors for Orthologous Regulation of Gene Expression in the Yeast <i>Saccharomyces cerevisiae</i>

  2017

  ACS Synthetic Biology · DOI

  Control of gene expression by transcription factors (TFs) is central in many synthetic biology projects for which a tailored expression of one or multiple genes is often needed. As TFs from evolutionary distant organisms are unlikely to affect gene expression in a host of choice, they represent excellent candidates for establishing orthogonal control systems. To establish orthogonal regulators for use in yeast (Saccharomyces cerevisiae), we chose TFs from the plant Arabidopsis thaliana. We established a library of 106 different combinations of chromosomally integrated TFs, activation domains (yeast GAL4 AD, herpes simplex virus VP64, and plant EDLL) and synthetic promoters harboring cognate cis-regulatory motifs driving a yEGFP reporter. Transcriptional output of the different driver/reporter combinations varied over a wide spectrum, with EDLL being a considerably stronger transcription activation domain in yeast than the GAL4 activation domain, in particular when fused to Arabidopsis NAC TFs. Notably, the strength of several NAC-EDLL fusions exceeded that of the strong yeast TDH3 promoter by 6- to 10-fold. We furthermore show that plant TFs can be used to build regulatory systems encoded by centromeric or episomal plasmids. Our library of TF-DNA binding site combinations offers an excellent tool for diverse synthetic biology applications in yeast.