iGEM

Wilkommen bei iGEM Bonn
Wir stellen derzeit unser studentisches Forschungsteam für das Jahr 2025/26 zusammen, um am internationalen iGEM-Wettbewerb (International Genetically Engineered Machine) teilzunehmen. Unser Ziel ist es, gemeinsam ein eigenes Project im Bereich der synthetischen Biologie zu entwickeln und dieses auf einer Konferenz mit mehr als 300 teilnehmenden Teams zu präsentieren.Bei Interesse gerne uns kontaktieren unter:
Email: pucker@uni-b..
Instagram: @igembonn
iGEM Bonn 2023: NitraNix
Forschung im Bereich der Nitratbelastung von Grundwasser. Ziel war die Entwicklung einer neuartigen Methode zur Reduktion von Nitratwerten, basierend auf denitrifizierenden Enzymen spezifischer Bakterien zu entwickeln.
Mehr dazu in unserem Wiki: https://2023.igem.wiki/bonn-rheinbach/
Previous iGEM projects supervised
"With our project Li+onSwitch, we aim to develop a testing system that will enable patients with bipolar undergoing lithium therapy to independently monitor their lithium levels.The measurement of lithium holds significant importance for individuals with Bipolar, lithium administration is a therapeutic approach for this condition. Monitoring lithium levels in the blood is crucial, as therapeutic and cytotoxic lithium concentrations are closely intertwined, making accurate and reliable measurement challenging. Currently, regular blood tests conducted by doctors are the only means of monitoring lithium levels. We present a novel measurement method for lithium, utilizing a lithium-sensing riboswitch. Riboswitches are mRNA elements capable of sensing small molecules and regulating gene expression accordingly. We aims to exploit the unique properties of the nhaA riboswitches described by White et al. (2022) to enable the specific and sensitive measurement of lithium ions. The synthesis of the riboswitch is planned to be carried out in a cell-free system, ensuring precise control over the experimental conditions and simplifying the production process. To quantify lithium, the reporters LacZ/beta-Galactosidase, superfolder GFP, NanoLuc and mScarletI-3 are evaluated in conjunction with the riboswitches."Please find additional details in the TU Braunschweig 2023 team's wiki.