Cargando…

A computationally engineered RAS rheostat reveals RAS/ERK signaling dynamics

Synthetic protein switches controlled with user-defined inputs are powerful tools for studying and controlling dynamic cellular processes. To date, these approaches have relied primarily on intermolecular regulation. Here, we report a computationally-guided framework for engineering intramolecular r...

Descripción completa

Detalles Bibliográficos
Autores principales: Rose, John C., Huang, Po-Ssu, Camp, Nathan D., Ye, Jordan, Leidal, Andrew M., Goreshnik, Inna, Trevillian, Bridget M., Dickinson, Miles S., Cunningham-Bryant, Daniel, Debnath, Jayanta, Baker, David, Wolf-Yadlin, Alejandro, Maly, Dustin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5161653/
https://www.ncbi.nlm.nih.gov/pubmed/27870838
http://dx.doi.org/10.1038/nchembio.2244
_version_ 1782482100967964672
author Rose, John C.
Huang, Po-Ssu
Camp, Nathan D.
Ye, Jordan
Leidal, Andrew M.
Goreshnik, Inna
Trevillian, Bridget M.
Dickinson, Miles S.
Cunningham-Bryant, Daniel
Debnath, Jayanta
Baker, David
Wolf-Yadlin, Alejandro
Maly, Dustin J.
author_facet Rose, John C.
Huang, Po-Ssu
Camp, Nathan D.
Ye, Jordan
Leidal, Andrew M.
Goreshnik, Inna
Trevillian, Bridget M.
Dickinson, Miles S.
Cunningham-Bryant, Daniel
Debnath, Jayanta
Baker, David
Wolf-Yadlin, Alejandro
Maly, Dustin J.
author_sort Rose, John C.
collection PubMed
description Synthetic protein switches controlled with user-defined inputs are powerful tools for studying and controlling dynamic cellular processes. To date, these approaches have relied primarily on intermolecular regulation. Here, we report a computationally-guided framework for engineering intramolecular regulation of protein function. We utilize this framework to develop Chemically Inducible Activator of RAS (CIAR), a single-component RAS rheostat that directly activates endogenous RAS in response to a small molecule. Using CIAR, we show that direct RAS activation elicits markedly different RAS/ERK signaling dynamics compared to growth factor stimulation, and that these dynamics differ between cell types. We also found that the clinically-approved RAF inhibitor vemurafenib potently primes cells to respond to direct wild-type RAS activation. These results demonstrate the utility of CIAR for quantitatively interrogating RAS signaling. Finally, we demonstrate the general utility of our approach to design intramolecularly-regulated protein tools by applying this methodology to the Rho Family GEFs.
format Online
Article
Text
id pubmed-5161653
institution National Center for Biotechnology Information
language English
publishDate 2016
record_format MEDLINE/PubMed
spelling pubmed-51616532017-05-21 A computationally engineered RAS rheostat reveals RAS/ERK signaling dynamics Rose, John C. Huang, Po-Ssu Camp, Nathan D. Ye, Jordan Leidal, Andrew M. Goreshnik, Inna Trevillian, Bridget M. Dickinson, Miles S. Cunningham-Bryant, Daniel Debnath, Jayanta Baker, David Wolf-Yadlin, Alejandro Maly, Dustin J. Nat Chem Biol Article Synthetic protein switches controlled with user-defined inputs are powerful tools for studying and controlling dynamic cellular processes. To date, these approaches have relied primarily on intermolecular regulation. Here, we report a computationally-guided framework for engineering intramolecular regulation of protein function. We utilize this framework to develop Chemically Inducible Activator of RAS (CIAR), a single-component RAS rheostat that directly activates endogenous RAS in response to a small molecule. Using CIAR, we show that direct RAS activation elicits markedly different RAS/ERK signaling dynamics compared to growth factor stimulation, and that these dynamics differ between cell types. We also found that the clinically-approved RAF inhibitor vemurafenib potently primes cells to respond to direct wild-type RAS activation. These results demonstrate the utility of CIAR for quantitatively interrogating RAS signaling. Finally, we demonstrate the general utility of our approach to design intramolecularly-regulated protein tools by applying this methodology to the Rho Family GEFs. 2016-11-21 2017-01 /pmc/articles/PMC5161653/ /pubmed/27870838 http://dx.doi.org/10.1038/nchembio.2244 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Rose, John C.
Huang, Po-Ssu
Camp, Nathan D.
Ye, Jordan
Leidal, Andrew M.
Goreshnik, Inna
Trevillian, Bridget M.
Dickinson, Miles S.
Cunningham-Bryant, Daniel
Debnath, Jayanta
Baker, David
Wolf-Yadlin, Alejandro
Maly, Dustin J.
A computationally engineered RAS rheostat reveals RAS/ERK signaling dynamics
title A computationally engineered RAS rheostat reveals RAS/ERK signaling dynamics
title_full A computationally engineered RAS rheostat reveals RAS/ERK signaling dynamics
title_fullStr A computationally engineered RAS rheostat reveals RAS/ERK signaling dynamics
title_full_unstemmed A computationally engineered RAS rheostat reveals RAS/ERK signaling dynamics
title_short A computationally engineered RAS rheostat reveals RAS/ERK signaling dynamics
title_sort computationally engineered ras rheostat reveals ras/erk signaling dynamics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5161653/
https://www.ncbi.nlm.nih.gov/pubmed/27870838
http://dx.doi.org/10.1038/nchembio.2244
work_keys_str_mv AT rosejohnc acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT huangpossu acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT campnathand acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT yejordan acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT leidalandrewm acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT goreshnikinna acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT trevillianbridgetm acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT dickinsonmiless acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT cunninghambryantdaniel acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT debnathjayanta acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT bakerdavid acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT wolfyadlinalejandro acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT malydustinj acomputationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT rosejohnc computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT huangpossu computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT campnathand computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT yejordan computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT leidalandrewm computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT goreshnikinna computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT trevillianbridgetm computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT dickinsonmiless computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT cunninghambryantdaniel computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT debnathjayanta computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT bakerdavid computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT wolfyadlinalejandro computationallyengineeredrasrheostatrevealsraserksignalingdynamics
AT malydustinj computationallyengineeredrasrheostatrevealsraserksignalingdynamics