Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/35051
Title: Engineering Yeast Cells to Facilitate Information Exchange
Authors: Ntetsikas, Nikolaos 
Kyriakoudi, Styliana 
Kirmizis, Antonis 
Unluturk, Bige Deniz 
Pitsillides, Andreas 
Akyildiz, Ian F. 
Lestas, Marios 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Molecular communications;Testbed;Yeast
Issue Date: 1-Mar-2024
Source: IEEE Transactions on Molecular Biological and Multi Scale Communications, 2024, vol.10, no.1
Volume: 10
Issue: 1
Journal: IEEE Transactions on Molecular Biological and Multi Scale Communications 
Abstract: Although continuous advances in theoretical modelling of Molecular Communications (MC) are observed, there is still an insuperable gap between theory and experimental testbeds, especially at the microscale. In this paper, the development of the first testbed incorporating engineered yeast cells is reported. Different from the existing literature, eukaryotic yeast cells are considered for both the sender and the receiver, with α -factor molecules facilitating the information transfer. The use of such cells is motivated mainly by the well understood biological mechanism of yeast mating, together with their genetic amenability. In addition, recent advances in yeast biosensing establish yeast as a suitable detector and a neat interface to in-body sensor networks. The system under consideration is presented first, and the mathematical models of the underlying biological processes leading to an end-to-end (E2E) system are given. The experimental setup is then described and used to obtain experimental results which validate the developed mathematical models. Beyond that, the ability of the system to effectively generate output pulses in response to repeated stimuli is demonstrated, reporting one event per two hours. However, fast RNA fluctuations indicate cell responses in less than three minutes, demonstrating the potential for much higher rates in the future.
URI: https://hdl.handle.net/20.500.14279/35051
ISSN: 2372-2061
2332-7804
DOI: 10.1109/TMBMC.2024.3360051
Type: Article
Affiliation : University of Cyprus 
Frederick Research Center 
Frederick University 
Michigan State University 
Truva Inc 
Funding: This work was supported by the Projects EXCELLENCE/0421/0248 (PheroMolCom) and EXCELLENCE/0421/0302 (N-terDAM) which are implemented under the Cohesion Policy Funds “THALEIA 2021 2027” with EU co-funding
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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