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Optogenomic Interfaces: Bridging Biological Networks with the Electronic Digital World

  • SUNY Buffalo
  • Maria Sklodowska-Curie Institute of Oncology
  • University of Pennsylvania
  • University of Pennsylvania

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

The development of optical nano-bio interfaces is a fundamental step toward connecting biological networks and traditional electronic computing systems. Compared to conventional chemical and electrical nano-bio interfaces, the use of light as a mediator enables new type of interfaces with unprecedented spatial and temporal resolutions. In this paper, the state of the art and future research directions in optogenomic interfaces are discussed. Optogenomic interfaces are light-mediated nano-bio interfaces that allow the control of the genome, i.e., the genes and their interactions in the cell nucleus (and, thus, of all the cell functionalities) with (sub) cellular resolution and high temporal accuracy. Given its fundamental role in the process of cell development, the study is focused on the interactions with the fibroblast growth factor receptor 1 (FGFR1) gene and the integrative nuclear FGFR1 signaling (INFS) module in stem cells and in neuronal cells, whose control opens the door to transformative applications, including reconstructive medicine and cancer therapy. Three stages of optogenomic interfaces are described, ranging from already experimentally validated interfaces activating broad cellular responses and expressing individual genes to more advanced interfaces able to regulate and correct DNA topology, chromatin structure, and cellular development.

Original languageEnglish
Article number8734762
Pages (from-to)1387-1401
Number of pages15
JournalProceedings of the IEEE
Volume107
Issue number7
DOIs
StatePublished - Jul 2019

Keywords

  • Biophotonics
  • DNA topology
  • channel rhodopsin
  • integrative nuclear fibroblast growth factor receptor 1 (FGFR1) signaling (INFS)
  • nano-bio interfaces
  • nanonetworks
  • optogenomics

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