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Scalable and automated CRISPR-based strain engineering using droplet microfluidics

We present a droplet-based microfluidic system that enables CRISPR-based gene editing and high-throughput screening on a chip. The microfluidic device contains a 10 × 10 element array, and each element contains sets of electrodes for two electric field-actuated operations: electrowetting for merging...

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Autores principales: Iwai, Kosuke, Wehrs, Maren, Garber, Megan, Sustarich, Jess, Washburn, Lauren, Costello, Zachary, Kim, Peter W., Ando, David, Gaillard, William R., Hillson, Nathan J., Adams, Paul D., Mukhopadhyay, Aindrila, Garcia Martin, Hector, Singh, Anup K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924257/
https://www.ncbi.nlm.nih.gov/pubmed/35359611
http://dx.doi.org/10.1038/s41378-022-00357-3
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author Iwai, Kosuke
Wehrs, Maren
Garber, Megan
Sustarich, Jess
Washburn, Lauren
Costello, Zachary
Kim, Peter W.
Ando, David
Gaillard, William R.
Hillson, Nathan J.
Adams, Paul D.
Mukhopadhyay, Aindrila
Garcia Martin, Hector
Singh, Anup K.
author_facet Iwai, Kosuke
Wehrs, Maren
Garber, Megan
Sustarich, Jess
Washburn, Lauren
Costello, Zachary
Kim, Peter W.
Ando, David
Gaillard, William R.
Hillson, Nathan J.
Adams, Paul D.
Mukhopadhyay, Aindrila
Garcia Martin, Hector
Singh, Anup K.
author_sort Iwai, Kosuke
collection PubMed
description We present a droplet-based microfluidic system that enables CRISPR-based gene editing and high-throughput screening on a chip. The microfluidic device contains a 10 × 10 element array, and each element contains sets of electrodes for two electric field-actuated operations: electrowetting for merging droplets to mix reagents and electroporation for transformation. This device can perform up to 100 genetic modification reactions in parallel, providing a scalable platform for generating the large number of engineered strains required for the combinatorial optimization of genetic pathways and predictable bioengineering. We demonstrate the system’s capabilities through the CRISPR-based engineering of two test cases: (1) disruption of the function of the enzyme galactokinase (galK) in E. coli and (2) targeted engineering of the glutamine synthetase gene (glnA) and the blue-pigment synthetase gene (bpsA) to improve indigoidine production in E. coli.
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spelling pubmed-89242572022-03-30 Scalable and automated CRISPR-based strain engineering using droplet microfluidics Iwai, Kosuke Wehrs, Maren Garber, Megan Sustarich, Jess Washburn, Lauren Costello, Zachary Kim, Peter W. Ando, David Gaillard, William R. Hillson, Nathan J. Adams, Paul D. Mukhopadhyay, Aindrila Garcia Martin, Hector Singh, Anup K. Microsyst Nanoeng Article We present a droplet-based microfluidic system that enables CRISPR-based gene editing and high-throughput screening on a chip. The microfluidic device contains a 10 × 10 element array, and each element contains sets of electrodes for two electric field-actuated operations: electrowetting for merging droplets to mix reagents and electroporation for transformation. This device can perform up to 100 genetic modification reactions in parallel, providing a scalable platform for generating the large number of engineered strains required for the combinatorial optimization of genetic pathways and predictable bioengineering. We demonstrate the system’s capabilities through the CRISPR-based engineering of two test cases: (1) disruption of the function of the enzyme galactokinase (galK) in E. coli and (2) targeted engineering of the glutamine synthetase gene (glnA) and the blue-pigment synthetase gene (bpsA) to improve indigoidine production in E. coli. Nature Publishing Group UK 2022-03-15 /pmc/articles/PMC8924257/ /pubmed/35359611 http://dx.doi.org/10.1038/s41378-022-00357-3 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Iwai, Kosuke
Wehrs, Maren
Garber, Megan
Sustarich, Jess
Washburn, Lauren
Costello, Zachary
Kim, Peter W.
Ando, David
Gaillard, William R.
Hillson, Nathan J.
Adams, Paul D.
Mukhopadhyay, Aindrila
Garcia Martin, Hector
Singh, Anup K.
Scalable and automated CRISPR-based strain engineering using droplet microfluidics
title Scalable and automated CRISPR-based strain engineering using droplet microfluidics
title_full Scalable and automated CRISPR-based strain engineering using droplet microfluidics
title_fullStr Scalable and automated CRISPR-based strain engineering using droplet microfluidics
title_full_unstemmed Scalable and automated CRISPR-based strain engineering using droplet microfluidics
title_short Scalable and automated CRISPR-based strain engineering using droplet microfluidics
title_sort scalable and automated crispr-based strain engineering using droplet microfluidics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924257/
https://www.ncbi.nlm.nih.gov/pubmed/35359611
http://dx.doi.org/10.1038/s41378-022-00357-3
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