Cargando…

Co-existing feedback loops generate tissue-specific circadian rhythms

Gene regulatory feedback loops generate autonomous circadian rhythms in mammalian tissues. The well-studied core clock network contains many negative and positive regulations. Multiple feedback loops have been discussed as primary rhythm generators but the design principles of the core clock and dif...

Descripción completa

Detalles Bibliográficos
Autores principales: Pett, J Patrick, Kondoff, Matthew, Bordyugov, Grigory, Kramer, Achim, Herzel, Hanspeter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238625/
https://www.ncbi.nlm.nih.gov/pubmed/30456356
http://dx.doi.org/10.26508/lsa.201800078
_version_ 1783371419046903808
author Pett, J Patrick
Kondoff, Matthew
Bordyugov, Grigory
Kramer, Achim
Herzel, Hanspeter
author_facet Pett, J Patrick
Kondoff, Matthew
Bordyugov, Grigory
Kramer, Achim
Herzel, Hanspeter
author_sort Pett, J Patrick
collection PubMed
description Gene regulatory feedback loops generate autonomous circadian rhythms in mammalian tissues. The well-studied core clock network contains many negative and positive regulations. Multiple feedback loops have been discussed as primary rhythm generators but the design principles of the core clock and differences between tissues are still under debate. Here we use global optimization techniques to fit mathematical models to circadian gene expression profiles for different mammalian tissues. It turns out that for every investigated tissue multiple model parameter sets reproduce the experimental data. We extract for all model versions the most essential feedback loops and find auto-inhibitions of period and cryptochrome genes, Bmal1–Rev-erb-α loops, and repressilator motifs as possible rhythm generators. Interestingly, the essential feedback loops differ between tissues, pointing to specific design principles within the hierarchy of mammalian tissue clocks. Self-inhibitions of Per and Cry genes are characteristic for models of suprachiasmatic nucleus clocks, whereas in liver models many loops act in synergy and are connected by a repressilator motif. Tissue-specific use of a network of co-existing synergistic feedback loops could account for functional differences between organs.
format Online
Article
Text
id pubmed-6238625
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Life Science Alliance LLC
record_format MEDLINE/PubMed
spelling pubmed-62386252018-11-19 Co-existing feedback loops generate tissue-specific circadian rhythms Pett, J Patrick Kondoff, Matthew Bordyugov, Grigory Kramer, Achim Herzel, Hanspeter Life Sci Alliance Research Articles Gene regulatory feedback loops generate autonomous circadian rhythms in mammalian tissues. The well-studied core clock network contains many negative and positive regulations. Multiple feedback loops have been discussed as primary rhythm generators but the design principles of the core clock and differences between tissues are still under debate. Here we use global optimization techniques to fit mathematical models to circadian gene expression profiles for different mammalian tissues. It turns out that for every investigated tissue multiple model parameter sets reproduce the experimental data. We extract for all model versions the most essential feedback loops and find auto-inhibitions of period and cryptochrome genes, Bmal1–Rev-erb-α loops, and repressilator motifs as possible rhythm generators. Interestingly, the essential feedback loops differ between tissues, pointing to specific design principles within the hierarchy of mammalian tissue clocks. Self-inhibitions of Per and Cry genes are characteristic for models of suprachiasmatic nucleus clocks, whereas in liver models many loops act in synergy and are connected by a repressilator motif. Tissue-specific use of a network of co-existing synergistic feedback loops could account for functional differences between organs. Life Science Alliance LLC 2018-06-14 /pmc/articles/PMC6238625/ /pubmed/30456356 http://dx.doi.org/10.26508/lsa.201800078 Text en © 2018 Pett et al. https://creativecommons.org/licenses/by/4.0/This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Articles
Pett, J Patrick
Kondoff, Matthew
Bordyugov, Grigory
Kramer, Achim
Herzel, Hanspeter
Co-existing feedback loops generate tissue-specific circadian rhythms
title Co-existing feedback loops generate tissue-specific circadian rhythms
title_full Co-existing feedback loops generate tissue-specific circadian rhythms
title_fullStr Co-existing feedback loops generate tissue-specific circadian rhythms
title_full_unstemmed Co-existing feedback loops generate tissue-specific circadian rhythms
title_short Co-existing feedback loops generate tissue-specific circadian rhythms
title_sort co-existing feedback loops generate tissue-specific circadian rhythms
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238625/
https://www.ncbi.nlm.nih.gov/pubmed/30456356
http://dx.doi.org/10.26508/lsa.201800078
work_keys_str_mv AT pettjpatrick coexistingfeedbackloopsgeneratetissuespecificcircadianrhythms
AT kondoffmatthew coexistingfeedbackloopsgeneratetissuespecificcircadianrhythms
AT bordyugovgrigory coexistingfeedbackloopsgeneratetissuespecificcircadianrhythms
AT kramerachim coexistingfeedbackloopsgeneratetissuespecificcircadianrhythms
AT herzelhanspeter coexistingfeedbackloopsgeneratetissuespecificcircadianrhythms