Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/69418
Title: | Time-sharing of synthetic opto-genetic circuits for multiple channel access communication | Authors: | Kavya Devarajan | Keywords: | DRNTU::Engineering::Electrical and electronic engineering DRNTU::Science |
Issue Date: | 2016 | Source: | Kavya Devarajan. (2016). Time-sharing of synthetic opto-genetic circuits for multiple channel access communication. Master’s thesis, Nanyang Technological University, Singapore. | Abstract: | Quantitative understanding of complex biological systems has been a major challenge. The synthetic biology toolkit helps in engineering genetic circuits to design such complex systems. To develop effective precisely-controlled circuits, rapidly regulate-able gene expression systems are necessary. Opto-genetic modules offer unprecedented ways to control cellular functions in precise spatial and temporal resolution. However, current opto-genetic systems have been limited to low dynamic expression and switchable control. Henceforth, the design of synthetic circuits for coordinated cell-cell communication has been difficult. A novel blue light-regulated genetic system is characterised in this work that demonstrates precise and stable switchable gene expression control with light intensity and pulse-width percentages. The system provides effective means of coordinated functions and thus, is applied to optically synchronize cells to perform different control functions. With such precise control, the system serves as a basis for underlying biological patterns and new developments in Systems biology and Biotechnology. | URI: | https://hdl.handle.net/10356/69418 | DOI: | 10.32657/10356/69418 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
KAVYAD-THESIS-G1402594L.pdf | Synthetic Biology Applications | 3.24 MB | Adobe PDF | View/Open |
Page view(s)
348
Updated on Mar 28, 2024
Download(s) 20
209
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.