Journal article
A data-entrained computational model for testing the regulatory logic of the vertebrate unfolded protein response
Molecular biology of the cell, Vol.29(12), pp.1502-1517
06/15/2018
DOI: 10.1091/mbc.E17-09-0565
PMCID: PMC6014097
PMID: 29668363
Abstract
The vertebrate unfolded protein response (UPR) is characterized by multiple interacting nodes among its three pathways, yet the logic underlying this regulatory complexity is unclear. To begin to address this issue, we created a computational model of the vertebrate UPR that was entrained upon and then validated against experimental data. As part of this validation, the model successfully predicted the phenotypes of cells with lesions in UPR signaling, including a surprising and previously unreported differential role for the eIF2α phosphatase GADD34 in exacerbating severe stress but ameliorating mild stress. We then used the model to test the functional importance of a feedforward circuit within the PERK/CHOP axis and of cross-regulatory control of BiP and CHOP expression. We found that the wiring structure of the UPR appears to balance the ability of the response to remain sensitive to endoplasmic reticulum stress and to be deactivated rapidly by improved protein-folding conditions. This model should serve as a valuable resource for further exploring the regulatory logic of the UPR.
Details
- Title: Subtitle
- A data-entrained computational model for testing the regulatory logic of the vertebrate unfolded protein response
- Creators
- Danilo R Diedrichs - Department of Mathematics, College of Liberal Arts and Sciences, University of Iowa, Iowa City, IA 52242Javier A Gomez - Department of Anatomy and Cell Biology, University of Iowa, Iowa City, IA 52242Chun-Sing Huang - Department of Anatomy and Cell Biology, University of Iowa, Iowa City, IA 52242D Thomas Rutkowski - Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA 52242Rodica Curtu - Department of Mathematics, College of Liberal Arts and Sciences, University of Iowa, Iowa City, IA 52242
- Resource Type
- Journal article
- Publication Details
- Molecular biology of the cell, Vol.29(12), pp.1502-1517
- DOI
- 10.1091/mbc.E17-09-0565
- PMID
- 29668363
- PMCID
- PMC6014097
- NLM abbreviation
- Mol Biol Cell
- ISSN
- 1059-1524
- eISSN
- 1939-4586
- Publisher
- American Society for Cell Biology; United States
- Grant note
- T32 GM067795 / NIGMS NIH HHS R01 GM115424 / NIGMS NIH HHS P30 CA086862 / NCI NIH HHS
- Language
- English
- Date published
- 06/15/2018
- Academic Unit
- Anatomy and Cell Biology; Iowa Neuroscience Institute; Mathematics; Internal Medicine
- Record Identifier
- 9984070857102771
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