Nikolaos Ntetsikas, Styliana Kyriakoudi, Antonis Kirmizis, Bige Deniz Unluturk, Andreas Pitsillides, Ian F. Akyildiz, Marios Lestas
{"title":"酵母细胞工程促进信息交流","authors":"Nikolaos Ntetsikas, Styliana Kyriakoudi, Antonis Kirmizis, Bige Deniz Unluturk, Andreas Pitsillides, Ian F. Akyildiz, Marios Lestas","doi":"arxiv-2401.13712","DOIUrl":null,"url":null,"abstract":"Although continuous advances in theoretical modelling of Molecular\nCommunications (MC) are observed, there is still an insuperable gap between\ntheory and experimental testbeds, especially at the microscale. In this paper,\nthe development of the first testbed incorporating engineered yeast cells is\nreported. Different from the existing literature, eukaryotic yeast cells are\nconsidered for both the sender and the receiver, with {\\alpha}-factor molecules\nfacilitating the information transfer. The use of such cells is motivated\nmainly by the well understood biological mechanism of yeast mating, together\nwith their genetic amenability. In addition, recent advances in yeast\nbiosensing establish yeast as a suitable detector and a neat interface to\nin-body sensor networks. The system under consideration is presented first, and\nthe mathematical models of the underlying biological processes leading to an\nend-to-end (E2E) system are given. The experimental setup is then described and\nused to obtain experimental results which validate the developed mathematical\nmodels. Beyond that, the ability of the system to effectively generate output\npulses in response to repeated stimuli is demonstrated, reporting one event per\ntwo hours. However, fast RNA fluctuations indicate cell responses in less than\nthree minutes, demonstrating the potential for much higher rates in the future.","PeriodicalId":501325,"journal":{"name":"arXiv - QuanBio - Molecular Networks","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Engineering Yeast Cells to Facilitate Information Exchange\",\"authors\":\"Nikolaos Ntetsikas, Styliana Kyriakoudi, Antonis Kirmizis, Bige Deniz Unluturk, Andreas Pitsillides, Ian F. Akyildiz, Marios Lestas\",\"doi\":\"arxiv-2401.13712\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although continuous advances in theoretical modelling of Molecular\\nCommunications (MC) are observed, there is still an insuperable gap between\\ntheory and experimental testbeds, especially at the microscale. In this paper,\\nthe development of the first testbed incorporating engineered yeast cells is\\nreported. Different from the existing literature, eukaryotic yeast cells are\\nconsidered for both the sender and the receiver, with {\\\\alpha}-factor molecules\\nfacilitating the information transfer. The use of such cells is motivated\\nmainly by the well understood biological mechanism of yeast mating, together\\nwith their genetic amenability. In addition, recent advances in yeast\\nbiosensing establish yeast as a suitable detector and a neat interface to\\nin-body sensor networks. The system under consideration is presented first, and\\nthe mathematical models of the underlying biological processes leading to an\\nend-to-end (E2E) system are given. The experimental setup is then described and\\nused to obtain experimental results which validate the developed mathematical\\nmodels. Beyond that, the ability of the system to effectively generate output\\npulses in response to repeated stimuli is demonstrated, reporting one event per\\ntwo hours. However, fast RNA fluctuations indicate cell responses in less than\\nthree minutes, demonstrating the potential for much higher rates in the future.\",\"PeriodicalId\":501325,\"journal\":{\"name\":\"arXiv - QuanBio - Molecular Networks\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Molecular Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2401.13712\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Molecular Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2401.13712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Engineering Yeast Cells to Facilitate Information Exchange
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 {\alpha}-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.