Avraam El Hamidieh, Nikolaos Dietis, A. Samoylenko, I. Meiser, Niovi Nicolaou, Eslam Abdelrady, A. Zhyvolozhnyi, S. Vainio, A. Odysseos
{"title":"Optically Active Bionanomachine Interfaces Build Therapeutic Nanonetworks for Glioblastoma Multiforme","authors":"Avraam El Hamidieh, Nikolaos Dietis, A. Samoylenko, I. Meiser, Niovi Nicolaou, Eslam Abdelrady, A. Zhyvolozhnyi, S. Vainio, A. Odysseos","doi":"10.1109/ismict56646.2022.9828125","DOIUrl":null,"url":null,"abstract":"The evolution of Glioblastoma Multiforme (GBM) is defined by the dynamics of growing bionanomachine networks in an interplay between \"senders\" or \"transceivers\" and \"receivers\". Central to this process are the inter-communications between sub-cellular bionanomachines secreted by GBM cells in the form of exosomes. Herein we present a dynamic cell-based therapeutic nanonetwork of genetically engineered optically active bionanomachines. The communication paradigm is defined by the interaction between neural stem cell-derived exosomes expressing Enhanced Green Fluorescent Protein and GBM cells expressing Tandem Dimer Tomato protein (tdT), based on the dynamic transfer of energies of excited state bionanomachines in resonance. With EGFP serving as energy donor and tdT as energy acceptor we provide multilevel evidence validating a Förster Resonance Energy Transfer - mediated interaction between GBM cells and exosomes, therefore documenting their sustainable and close proximity. Such an approach has the potential to enable wireless communication between optically active bionanomachines via quantifiable interfaces within channel networks, further enabling mechanistic and therapeutic models.","PeriodicalId":436823,"journal":{"name":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","volume":"40 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ismict56646.2022.9828125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The evolution of Glioblastoma Multiforme (GBM) is defined by the dynamics of growing bionanomachine networks in an interplay between "senders" or "transceivers" and "receivers". Central to this process are the inter-communications between sub-cellular bionanomachines secreted by GBM cells in the form of exosomes. Herein we present a dynamic cell-based therapeutic nanonetwork of genetically engineered optically active bionanomachines. The communication paradigm is defined by the interaction between neural stem cell-derived exosomes expressing Enhanced Green Fluorescent Protein and GBM cells expressing Tandem Dimer Tomato protein (tdT), based on the dynamic transfer of energies of excited state bionanomachines in resonance. With EGFP serving as energy donor and tdT as energy acceptor we provide multilevel evidence validating a Förster Resonance Energy Transfer - mediated interaction between GBM cells and exosomes, therefore documenting their sustainable and close proximity. Such an approach has the potential to enable wireless communication between optically active bionanomachines via quantifiable interfaces within channel networks, further enabling mechanistic and therapeutic models.