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Dynamic Circadian Protein–Protein Interaction Networks Predict Temporal Organization of Cellular Functions

Essentially all biological processes depend on protein–protein interactions (PPIs). Timing of such interactions is crucial for regulatory function. Although circadian (∼24-hour) clocks constitute fundamental cellular timing mechanisms regulating important physiological processes, PPI dynamics on thi...

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Autores principales: Wallach, Thomas, Schellenberg, Katja, Maier, Bert, Kalathur, Ravi Kiran Reddy, Porras, Pablo, Wanker, Erich E., Futschik, Matthias E., Kramer, Achim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3610820/
https://www.ncbi.nlm.nih.gov/pubmed/23555304
http://dx.doi.org/10.1371/journal.pgen.1003398
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author Wallach, Thomas
Schellenberg, Katja
Maier, Bert
Kalathur, Ravi Kiran Reddy
Porras, Pablo
Wanker, Erich E.
Futschik, Matthias E.
Kramer, Achim
author_facet Wallach, Thomas
Schellenberg, Katja
Maier, Bert
Kalathur, Ravi Kiran Reddy
Porras, Pablo
Wanker, Erich E.
Futschik, Matthias E.
Kramer, Achim
author_sort Wallach, Thomas
collection PubMed
description Essentially all biological processes depend on protein–protein interactions (PPIs). Timing of such interactions is crucial for regulatory function. Although circadian (∼24-hour) clocks constitute fundamental cellular timing mechanisms regulating important physiological processes, PPI dynamics on this timescale are largely unknown. Here, we identified 109 novel PPIs among circadian clock proteins via a yeast-two-hybrid approach. Among them, the interaction of protein phosphatase 1 and CLOCK/BMAL1 was found to result in BMAL1 destabilization. We constructed a dynamic circadian PPI network predicting the PPI timing using circadian expression data. Systematic circadian phenotyping (RNAi and overexpression) suggests a crucial role for components involved in dynamic interactions. Systems analysis of a global dynamic network in liver revealed that interacting proteins are expressed at similar times likely to restrict regulatory interactions to specific phases. Moreover, we predict that circadian PPIs dynamically connect many important cellular processes (signal transduction, cell cycle, etc.) contributing to temporal organization of cellular physiology in an unprecedented manner.
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spelling pubmed-36108202013-04-03 Dynamic Circadian Protein–Protein Interaction Networks Predict Temporal Organization of Cellular Functions Wallach, Thomas Schellenberg, Katja Maier, Bert Kalathur, Ravi Kiran Reddy Porras, Pablo Wanker, Erich E. Futschik, Matthias E. Kramer, Achim PLoS Genet Research Article Essentially all biological processes depend on protein–protein interactions (PPIs). Timing of such interactions is crucial for regulatory function. Although circadian (∼24-hour) clocks constitute fundamental cellular timing mechanisms regulating important physiological processes, PPI dynamics on this timescale are largely unknown. Here, we identified 109 novel PPIs among circadian clock proteins via a yeast-two-hybrid approach. Among them, the interaction of protein phosphatase 1 and CLOCK/BMAL1 was found to result in BMAL1 destabilization. We constructed a dynamic circadian PPI network predicting the PPI timing using circadian expression data. Systematic circadian phenotyping (RNAi and overexpression) suggests a crucial role for components involved in dynamic interactions. Systems analysis of a global dynamic network in liver revealed that interacting proteins are expressed at similar times likely to restrict regulatory interactions to specific phases. Moreover, we predict that circadian PPIs dynamically connect many important cellular processes (signal transduction, cell cycle, etc.) contributing to temporal organization of cellular physiology in an unprecedented manner. Public Library of Science 2013-03-28 /pmc/articles/PMC3610820/ /pubmed/23555304 http://dx.doi.org/10.1371/journal.pgen.1003398 Text en © 2013 Wallach et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wallach, Thomas
Schellenberg, Katja
Maier, Bert
Kalathur, Ravi Kiran Reddy
Porras, Pablo
Wanker, Erich E.
Futschik, Matthias E.
Kramer, Achim
Dynamic Circadian Protein–Protein Interaction Networks Predict Temporal Organization of Cellular Functions
title Dynamic Circadian Protein–Protein Interaction Networks Predict Temporal Organization of Cellular Functions
title_full Dynamic Circadian Protein–Protein Interaction Networks Predict Temporal Organization of Cellular Functions
title_fullStr Dynamic Circadian Protein–Protein Interaction Networks Predict Temporal Organization of Cellular Functions
title_full_unstemmed Dynamic Circadian Protein–Protein Interaction Networks Predict Temporal Organization of Cellular Functions
title_short Dynamic Circadian Protein–Protein Interaction Networks Predict Temporal Organization of Cellular Functions
title_sort dynamic circadian protein–protein interaction networks predict temporal organization of cellular functions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3610820/
https://www.ncbi.nlm.nih.gov/pubmed/23555304
http://dx.doi.org/10.1371/journal.pgen.1003398
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