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Two-input protein logic gate for computation in living cells

Advances in protein design have brought us within reach of developing a nanoscale programming language, in which molecules serve as operands and their conformational states function as logic gates with precise input and output behaviors. Combining these nanoscale computing agents into larger molecul...

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Autores principales: Vishweshwaraiah, Yashavantha L., Chen, Jiaxing, Chirasani, Venkat R., Tabdanov, Erdem D., Dokholyan, Nikolay V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595391/
https://www.ncbi.nlm.nih.gov/pubmed/34785644
http://dx.doi.org/10.1038/s41467-021-26937-x
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author Vishweshwaraiah, Yashavantha L.
Chen, Jiaxing
Chirasani, Venkat R.
Tabdanov, Erdem D.
Dokholyan, Nikolay V.
author_facet Vishweshwaraiah, Yashavantha L.
Chen, Jiaxing
Chirasani, Venkat R.
Tabdanov, Erdem D.
Dokholyan, Nikolay V.
author_sort Vishweshwaraiah, Yashavantha L.
collection PubMed
description Advances in protein design have brought us within reach of developing a nanoscale programming language, in which molecules serve as operands and their conformational states function as logic gates with precise input and output behaviors. Combining these nanoscale computing agents into larger molecules and molecular complexes will allow us to write and execute “code”. Here, in an important step toward this goal, we report an engineered, single protein design that is allosterically regulated to function as a ‘two-input logic OR gate’. Our system is based on chemo- and optogenetic regulation of focal adhesion kinase. In the engineered FAK, all of FAK domain architecture is retained and key intramolecular interactions between the kinase and the FERM domains are externally controlled through a rapamycin-inducible uniRapR module in the kinase domain and a light-inducible LOV2 module in the FERM domain. Orthogonal regulation of protein function was possible using the chemo- and optogenetic switches. We demonstrate that dynamic FAK activation profoundly increased cell multiaxial complexity in the fibrous extracellular matrix microenvironment and decreased cell motility. This work provides proof-of-principle for fine multimodal control of protein function and paves the way for construction of complex nanoscale computing agents.
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spelling pubmed-85953912021-11-19 Two-input protein logic gate for computation in living cells Vishweshwaraiah, Yashavantha L. Chen, Jiaxing Chirasani, Venkat R. Tabdanov, Erdem D. Dokholyan, Nikolay V. Nat Commun Article Advances in protein design have brought us within reach of developing a nanoscale programming language, in which molecules serve as operands and their conformational states function as logic gates with precise input and output behaviors. Combining these nanoscale computing agents into larger molecules and molecular complexes will allow us to write and execute “code”. Here, in an important step toward this goal, we report an engineered, single protein design that is allosterically regulated to function as a ‘two-input logic OR gate’. Our system is based on chemo- and optogenetic regulation of focal adhesion kinase. In the engineered FAK, all of FAK domain architecture is retained and key intramolecular interactions between the kinase and the FERM domains are externally controlled through a rapamycin-inducible uniRapR module in the kinase domain and a light-inducible LOV2 module in the FERM domain. Orthogonal regulation of protein function was possible using the chemo- and optogenetic switches. We demonstrate that dynamic FAK activation profoundly increased cell multiaxial complexity in the fibrous extracellular matrix microenvironment and decreased cell motility. This work provides proof-of-principle for fine multimodal control of protein function and paves the way for construction of complex nanoscale computing agents. Nature Publishing Group UK 2021-11-16 /pmc/articles/PMC8595391/ /pubmed/34785644 http://dx.doi.org/10.1038/s41467-021-26937-x Text en © The Author(s) 2021 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
Vishweshwaraiah, Yashavantha L.
Chen, Jiaxing
Chirasani, Venkat R.
Tabdanov, Erdem D.
Dokholyan, Nikolay V.
Two-input protein logic gate for computation in living cells
title Two-input protein logic gate for computation in living cells
title_full Two-input protein logic gate for computation in living cells
title_fullStr Two-input protein logic gate for computation in living cells
title_full_unstemmed Two-input protein logic gate for computation in living cells
title_short Two-input protein logic gate for computation in living cells
title_sort two-input protein logic gate for computation in living cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595391/
https://www.ncbi.nlm.nih.gov/pubmed/34785644
http://dx.doi.org/10.1038/s41467-021-26937-x
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