Perspective: Engineering noise in biological systems towards predictive stochastic design
Name
1.5025033.pdf
Description
Published version
Size
1.05 MB
Format
Adobe PDF
Checksum (MD5)
d6294fc5501da903a022eb50ba302f7e
Author(s)
Weiss, Ron
Date Issued
May 2018
Journal
APL Bioengineering
Publisher
AIP Publishing
Citation
Dar, Roy D. and Ron Weiss. “Perspective: Engineering noise in biological systems towards predictive stochastic design.” APL Bioengineering, vol. 2, no. 2, 2018, 020901 © 2018 The Author(s)
Version
Final published version
Abstract
Significant progress has been made towards engineering both single-cell and multi-cellular systems through a combination of synthetic and systems biology,nanobiotechnology, pharmaceutical science, and computational approaches.However, our ability to engineer systems that begin to approach the complexity ofnatural pathways is severely limited by important challenges, e.g. due to noise, orthe fluctuations in gene expression and molecular species at multiple scales (e.g.both intra- and inter-cellular fluctuations). This barrier to engineering requires thatbiological noise be recognized as a design element with fundamentals that can beactively controlled. Here we highlight studies of an emerging discipline that collectively strives to engineer noise towards predictive stochastic design using interdisciplinary approaches at multiple-scales in diverse living systems.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1063/1.5025033
