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Quantitative live-cell imaging and computational modeling shed new light on endogenous WNT/CTNNB1 signaling dynamics

WNT/CTNNB1 signaling regulates tissue development and homeostasis in all multicellular animals, but the underlying molecular mechanism remains incompletely understood. Specifically, quantitative insight into endogenous protein behavior is missing. Here, we combine CRISPR/Cas9-mediated genome editing...

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Detalles Bibliográficos
Autores principales: de Man, Saskia MA, Zwanenburg, Gooitzen, van der Wal, Tanne, Hink, Mark A, van Amerongen, Renée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341982/
https://www.ncbi.nlm.nih.gov/pubmed/34190040
http://dx.doi.org/10.7554/eLife.66440
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author de Man, Saskia MA
Zwanenburg, Gooitzen
van der Wal, Tanne
Hink, Mark A
van Amerongen, Renée
author_facet de Man, Saskia MA
Zwanenburg, Gooitzen
van der Wal, Tanne
Hink, Mark A
van Amerongen, Renée
author_sort de Man, Saskia MA
collection PubMed
description WNT/CTNNB1 signaling regulates tissue development and homeostasis in all multicellular animals, but the underlying molecular mechanism remains incompletely understood. Specifically, quantitative insight into endogenous protein behavior is missing. Here, we combine CRISPR/Cas9-mediated genome editing and quantitative live-cell microscopy to measure the dynamics, diffusion characteristics and absolute concentrations of fluorescently tagged, endogenous CTNNB1 in human cells under both physiological and oncogenic conditions. State-of-the-art imaging reveals that a substantial fraction of CTNNB1 resides in slow-diffusing cytoplasmic complexes, irrespective of the activation status of the pathway. This cytoplasmic CTNNB1 complex undergoes a major reduction in size when WNT/CTNNB1 is (hyper)activated. Based on our biophysical measurements, we build a computational model of WNT/CTNNB1 signaling. Our integrated experimental and computational approach reveals that WNT pathway activation regulates the dynamic distribution of free and complexed CTNNB1 across different subcellular compartments through three regulatory nodes: the destruction complex, nucleocytoplasmic shuttling, and nuclear retention.
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spelling pubmed-83419822021-08-09 Quantitative live-cell imaging and computational modeling shed new light on endogenous WNT/CTNNB1 signaling dynamics de Man, Saskia MA Zwanenburg, Gooitzen van der Wal, Tanne Hink, Mark A van Amerongen, Renée eLife Cell Biology WNT/CTNNB1 signaling regulates tissue development and homeostasis in all multicellular animals, but the underlying molecular mechanism remains incompletely understood. Specifically, quantitative insight into endogenous protein behavior is missing. Here, we combine CRISPR/Cas9-mediated genome editing and quantitative live-cell microscopy to measure the dynamics, diffusion characteristics and absolute concentrations of fluorescently tagged, endogenous CTNNB1 in human cells under both physiological and oncogenic conditions. State-of-the-art imaging reveals that a substantial fraction of CTNNB1 resides in slow-diffusing cytoplasmic complexes, irrespective of the activation status of the pathway. This cytoplasmic CTNNB1 complex undergoes a major reduction in size when WNT/CTNNB1 is (hyper)activated. Based on our biophysical measurements, we build a computational model of WNT/CTNNB1 signaling. Our integrated experimental and computational approach reveals that WNT pathway activation regulates the dynamic distribution of free and complexed CTNNB1 across different subcellular compartments through three regulatory nodes: the destruction complex, nucleocytoplasmic shuttling, and nuclear retention. eLife Sciences Publications, Ltd 2021-06-30 /pmc/articles/PMC8341982/ /pubmed/34190040 http://dx.doi.org/10.7554/eLife.66440 Text en © 2021, de Man et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cell Biology
de Man, Saskia MA
Zwanenburg, Gooitzen
van der Wal, Tanne
Hink, Mark A
van Amerongen, Renée
Quantitative live-cell imaging and computational modeling shed new light on endogenous WNT/CTNNB1 signaling dynamics
title Quantitative live-cell imaging and computational modeling shed new light on endogenous WNT/CTNNB1 signaling dynamics
title_full Quantitative live-cell imaging and computational modeling shed new light on endogenous WNT/CTNNB1 signaling dynamics
title_fullStr Quantitative live-cell imaging and computational modeling shed new light on endogenous WNT/CTNNB1 signaling dynamics
title_full_unstemmed Quantitative live-cell imaging and computational modeling shed new light on endogenous WNT/CTNNB1 signaling dynamics
title_short Quantitative live-cell imaging and computational modeling shed new light on endogenous WNT/CTNNB1 signaling dynamics
title_sort quantitative live-cell imaging and computational modeling shed new light on endogenous wnt/ctnnb1 signaling dynamics
topic Cell Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341982/
https://www.ncbi.nlm.nih.gov/pubmed/34190040
http://dx.doi.org/10.7554/eLife.66440
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