Engineering cell fate: Applying synthetic biology to cellular reprogramming
Name
1-s2.0-S2452310020300342-main.pdf
Description
Published version
Size
1.88 MB
Format
Unknown
Checksum (MD5)
4020a4f8f28fe91375ee4ad6537c9653
Author(s)
Wang, Nathan B
Beitz, Adam M
Galloway, Katie
Date Issued
2020
Journal
Current Opinion in Systems Biology
Publisher
Elsevier BV
Version
Final published version
Abstract
Cellular reprogramming drives cells from one stable identity to a new cell fate. By generating a diversity of previously inaccessible cell types from diverse genetic backgrounds, cellular reprogramming is rapidly transforming how we study disease. However, low efficiency and limited maturity have limited the adoption of in vitro-derived cellular models. To overcome these limitations and improve mechanistic understanding of cellular reprogramming, a host of synthetic biology tools have been deployed. Recent synthetic biology approaches have advanced reprogramming by tackling three significant challenges to reprogramming: delivery of reprogramming factors, epigenetic roadblocks, and latent donor identity. In addition, emerging insight from the molecular systems biology of reprogramming reveal how systems-level drivers of reprogramming can be harnessed to further advance reprogramming technologies. Furthermore, recently developed synthetic biology tools offer new modes for engineering cell fate.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.COISB.2020.09.002
