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Advancing towards a global mammalian gene regulation model through single-cell analysis and synthetic biology

Tycko, Josh and Van, Mike V. and Elowitz, Michael B. and Bintu, Lacramioara (2017) Advancing towards a global mammalian gene regulation model through single-cell analysis and synthetic biology. Current Opinion in Biomedical Engineering, 4 . pp. 174-193. ISSN 2468-4511. https://resolver.caltech.edu/CaltechAUTHORS:20171114-145510367

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Abstract

Engineering complex genetic functions in mammalian cells will require predictive models of gene regulation. Since gene expression is stochastic, leading to cell-to-cell heterogeneity, these models depend on single-cell measurements. Here, we summarize recent microscopy and sequencing-based single-cell measurements of transcription and its chromatin-based regulation. Then, we describe synthetic biology methods for manipulating chromatin, and highlight how they could be coupled to single-cell measurements. We discuss theoretical models that connect some chromatin inputs to transcriptional outputs. Finally, we point out the connections between the models that would allow us to integrate them into one global input-output gene regulatory function.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.cobme.2017.10.011DOIArticle
http://www.sciencedirect.com/science/article/pii/S2468451117300636PublisherArticle
ORCID:
AuthorORCID
Elowitz, Michael B.0000-0002-1221-0967
Additional Information:© 2017 Published by Elsevier Inc. Received 25 July 2017, Revised 4 October 2017, Accepted 26 October 2017, Available online 10 November 2017.
Record Number:CaltechAUTHORS:20171114-145510367
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20171114-145510367
Official Citation:Josh Tycko, Mike V. Van, Michael B. Elowitz, Lacramioara Bintu, Advancing towards a global mammalian gene regulation model through single-cell analysis and synthetic biology, In Current Opinion in Biomedical Engineering, Volume 4, 2017, Pages 174-193, ISSN 2468-4511, https://doi.org/10.1016/j.cobme.2017.10.011. (http://www.sciencedirect.com/science/article/pii/S2468451117300636)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:83200
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:14 Nov 2017 23:12
Last Modified:03 Oct 2019 19:03

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