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Genetically encoded conductive protein nanofibers secreted by engineered cells
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Date
2017-01-01
Author
Kalyoncu, Ebuzer
Ahan, Recep E.
Olmez, Tolga T.
Şeker, Urartu Özgür Şafak
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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. In this work, bacterial biofilms have been engineered for use as conductive biopolymers to interface with electrodes and connect bacterial populations to electronic gadgets. Bacterial biofilms are designed with different conductive peptide motifs, as the aromatic amino acid content of fused peptide motifs has been suggested to contribute to electronic conductivity by influencing monomer stacking behavior. To select the best candidates for constructing conductive peptide motifs, conductivity properties of aromatic amino acids are measured using two different fiber scaffolds, an amyloid-like fiber (ALF) forming peptide, and the amyloidogenic R5T peptide of CsgA protein. Three repeats of aromatic amino acids are added to fiber-forming peptide sequences to produce delocalized pi clouds similar to those observed in conductive polymers. Based on the measurements, tyrosine and tryptophan residues provide the highest conductivity. Therefore, the nonconductive E. coli biofilm is switched into a conductive form by genetically inserted conductive peptide motifs containing different combinations of tyrosine and tryptophan. Finally, synthetic biofilm biogenesis is achieved with conductive peptide motifs using controlled biofilm production. Conductive biofilms on living cells are formed for bioelectronics and biosensing applications.
URI
https://hdl.handle.net/11511/119417
Journal
RSC ADVANCES
DOI
https://doi.org/10.1039/c7ra06289c
Collections
Department of Biology, Article
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E. Kalyoncu, R. E. Ahan, T. T. Olmez, and U. Ö. Ş. Şeker, “Genetically encoded conductive protein nanofibers secreted by engineered cells,”
RSC ADVANCES
, vol. 7, no. 52, pp. 32543–32551, 2017, Accessed: 00, 2026. [Online]. Available: https://hdl.handle.net/11511/119417.