Cargando…

Quantitative microscopy reveals dynamics and fate of clustered IRE1α

The endoplasmic reticulum (ER) membrane-resident stress sensor inositol-requiring enzyme 1 (IRE1) governs the most evolutionarily conserved branch of the unfolded protein response. Upon sensing an accumulation of unfolded proteins in the ER lumen, IRE1 activates its cytoplasmic kinase and ribonuclea...

Descripción completa

Detalles Bibliográficos
Autores principales: Belyy, Vladislav, Tran, Ngoc-Han, Walter, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983381/
https://www.ncbi.nlm.nih.gov/pubmed/31871156
http://dx.doi.org/10.1073/pnas.1915311117
_version_ 1783491492524851200
author Belyy, Vladislav
Tran, Ngoc-Han
Walter, Peter
author_facet Belyy, Vladislav
Tran, Ngoc-Han
Walter, Peter
author_sort Belyy, Vladislav
collection PubMed
description The endoplasmic reticulum (ER) membrane-resident stress sensor inositol-requiring enzyme 1 (IRE1) governs the most evolutionarily conserved branch of the unfolded protein response. Upon sensing an accumulation of unfolded proteins in the ER lumen, IRE1 activates its cytoplasmic kinase and ribonuclease domains to transduce the signal. IRE1 activity correlates with its assembly into large clusters, yet the biophysical characteristics of IRE1 clusters remain poorly characterized. We combined superresolution microscopy, single-particle tracking, fluorescence recovery, and photoconversion to examine IRE1 clustering quantitatively in living human and mouse cells. Our results revealed that: 1) In contrast to qualitative impressions gleaned from microscopic images, IRE1 clusters comprise only a small fraction (∼5%) of the total IRE1 in the cell; 2) IRE1 clusters have complex topologies that display features of higher-order organization; 3) IRE1 clusters contain a diffusionally constrained core, indicating that they are not phase-separated liquid condensates; 4) IRE1 molecules in clusters remain diffusionally accessible to the free pool of IRE1 molecules in the general ER network; 5) when IRE1 clusters disappear at later time points of ER stress as IRE1 signaling attenuates, their constituent molecules are released back into the ER network and not degraded; 6) IRE1 cluster assembly and disassembly are mechanistically distinct; and 7) IRE1 clusters’ mobility is nearly independent of cluster size. Taken together, these insights define the clusters as dynamic assemblies with unique properties. The analysis tools developed for this study will be widely applicable to investigations of clustering behaviors in other signaling proteins.
format Online
Article
Text
id pubmed-6983381
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher National Academy of Sciences
record_format MEDLINE/PubMed
spelling pubmed-69833812020-01-30 Quantitative microscopy reveals dynamics and fate of clustered IRE1α Belyy, Vladislav Tran, Ngoc-Han Walter, Peter Proc Natl Acad Sci U S A Biological Sciences The endoplasmic reticulum (ER) membrane-resident stress sensor inositol-requiring enzyme 1 (IRE1) governs the most evolutionarily conserved branch of the unfolded protein response. Upon sensing an accumulation of unfolded proteins in the ER lumen, IRE1 activates its cytoplasmic kinase and ribonuclease domains to transduce the signal. IRE1 activity correlates with its assembly into large clusters, yet the biophysical characteristics of IRE1 clusters remain poorly characterized. We combined superresolution microscopy, single-particle tracking, fluorescence recovery, and photoconversion to examine IRE1 clustering quantitatively in living human and mouse cells. Our results revealed that: 1) In contrast to qualitative impressions gleaned from microscopic images, IRE1 clusters comprise only a small fraction (∼5%) of the total IRE1 in the cell; 2) IRE1 clusters have complex topologies that display features of higher-order organization; 3) IRE1 clusters contain a diffusionally constrained core, indicating that they are not phase-separated liquid condensates; 4) IRE1 molecules in clusters remain diffusionally accessible to the free pool of IRE1 molecules in the general ER network; 5) when IRE1 clusters disappear at later time points of ER stress as IRE1 signaling attenuates, their constituent molecules are released back into the ER network and not degraded; 6) IRE1 cluster assembly and disassembly are mechanistically distinct; and 7) IRE1 clusters’ mobility is nearly independent of cluster size. Taken together, these insights define the clusters as dynamic assemblies with unique properties. The analysis tools developed for this study will be widely applicable to investigations of clustering behaviors in other signaling proteins. National Academy of Sciences 2020-01-21 2019-12-23 /pmc/articles/PMC6983381/ /pubmed/31871156 http://dx.doi.org/10.1073/pnas.1915311117 Text en Copyright © 2020 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Biological Sciences
Belyy, Vladislav
Tran, Ngoc-Han
Walter, Peter
Quantitative microscopy reveals dynamics and fate of clustered IRE1α
title Quantitative microscopy reveals dynamics and fate of clustered IRE1α
title_full Quantitative microscopy reveals dynamics and fate of clustered IRE1α
title_fullStr Quantitative microscopy reveals dynamics and fate of clustered IRE1α
title_full_unstemmed Quantitative microscopy reveals dynamics and fate of clustered IRE1α
title_short Quantitative microscopy reveals dynamics and fate of clustered IRE1α
title_sort quantitative microscopy reveals dynamics and fate of clustered ire1α
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983381/
https://www.ncbi.nlm.nih.gov/pubmed/31871156
http://dx.doi.org/10.1073/pnas.1915311117
work_keys_str_mv AT belyyvladislav quantitativemicroscopyrevealsdynamicsandfateofclusteredire1a
AT tranngochan quantitativemicroscopyrevealsdynamicsandfateofclusteredire1a
AT walterpeter quantitativemicroscopyrevealsdynamicsandfateofclusteredire1a