Browsing by Author "Kalyoncu, Ebuzer"
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Item Open Access Genetic logic gates enable patterning of amyloid nanofibers(WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim, 2019) Kalyoncu, Ebuzer; Ahan, Recep Erdem; Özçelik, Cemile Elif; Şeker, Urartu Özgür ŞafakDistinct spatial patterning of naturally produced materials is observed in many cellular structures and even among communities of microorganisms. Reoccurrence of spatially organized materials in all branches of life is clear proof that organization is beneficial for survival. Indeed, organisms can trick the evolutionary process by using organized materials in ways that can help the organism to avoid unexpected conditions. To expand the toolbox for synthesizing patterned living materials, Boolean type “AND” and “OR” control of curli fibers expression is demonstrated using recombinases. Logic gates are designed to activate the production of curli fibers. The gates can be used to record the presence of input molecules and give output as CsgA expression. Two different curli fibers (CsgA and CsgA‐His‐tag) production are then selectively activated to explore distribution of monomers upon coexpression. To keep track of the composition of fibers, CsgA‐His‐tag proteins are labeled with nickel–nitrilotriacetic acid (Ni–NTA‐) conjugated gold nanoparticles. It is observed that an organized living material can be obtained upon inducing the coexpression of different CsgA fibers. It is foreseen that living materials with user‐defined curli composition hold great potential for the development of living materials for many biomedical applications.Item Open Access A synthetic biology approach for engineered functional biofilm(2017-12) Kalyoncu, EbuzerExtracellular polymeric substances consist of molecules, DNAs, carbohydrates, and proteins that are secreted by microbial biofilms. These molecules assist in the synthesis of bacterial biofilms as highly ordered, complex and dynamic material systems, contribute to the adaptation of cells to their environment, and increase their flexibility and functionality under a broad range of conditions. Bacterial biofilms are promising tools for functional applications as bionanomaterials. They are synthesized by well-defined machinery, readily form fiber networks covering large areas, and can be engineered for different functionalities. One aspect of the present thesis focuses on controlling the expression of the curli proteins of Escherichia coli and functionalize the curli fibers by genetically fusing various peptide molecules. Biofilm proteins were functionalized with designed conductive aromatic aminoacids by using programmed cellular machines in order to develop electrically conductive protein nanofiber networks. It has been shown how biological conductivity can be used to control and direct metabolic activities of bacterial populations. Understanding and building conductive biological interfaces to merge living systems with electronic gadgets is a demanding subject. First time in the literature we succeeded to demonstrate living cells enabled bio-conductivity via a conductive nanofiber network formation. In E. coli, there are two proteins as backbones of the nano-fibers (CsgA and CsgB) responsible for the formation of biofilms. In this thesis, tunability of the morphology and mechanical properties of biofilm backbones were investigated by using protein engineering. The effect of minor and major proteins and their engineered form on the final mechanical properties of the biofilm structures were probed by scanning probe microscopy. The minor protein plays a crucial role in tuning the mechanical and morphological properties of the biofilm structures. Biofilm protein engineering for material science can be used through the genetically tunable biofabrication of self-assembling functional materials. Using synthetic biological tools, externally controllable biofilm patterns can be achieved. Recombinase based genetic logic gates encoding AND, and OR to control the expression of structural protein CsgA with 6x-Histaq modification were engineered with using two independent control signals. In this thesis, the opportunity to engineer bacterial biofilms using synthetic biology approaches was demonstrated.