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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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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. |
format | Online Article Text |
id | pubmed-3610820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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