A power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis

Abstract Biomolecule abundance levels change with the environment and enable a living system to adapt to the new conditions. Although, the living system maintains at least some characteristics, e.g. homeostasis. One of the characteristics maintained by a living system is a power law distribution of...

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Autores principales: Shumpei Sato, Makoto Horikawa, Takeshi Kondo, Tomohito Sato, Mitsutoshi Setou
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Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/a7e1b59175074fa797898228b9f3a1ca
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spelling oai:doaj.org-article:a7e1b59175074fa797898228b9f3a1ca2021-12-02T15:08:01ZA power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis10.1038/s41598-018-28667-52045-2322https://doaj.org/article/a7e1b59175074fa797898228b9f3a1ca2018-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-28667-5https://doaj.org/toc/2045-2322Abstract Biomolecule abundance levels change with the environment and enable a living system to adapt to the new conditions. Although, the living system maintains at least some characteristics, e.g. homeostasis. One of the characteristics maintained by a living system is a power law distribution of biomolecule abundance levels. Previous studies have pointed to a universal characteristic of biochemical reaction networks, with data obtained from lysates of multiple cells. As a result, the spatial scale of the data related to the power law distribution of biomolecule abundance levels is not clear. In this study, we researched the scaling law of metabolites in mouse tissue with a spatial scale of quantification that was changed stepwise between a whole-tissue section and a single-point analysis (25 μm). As a result, metabolites in mouse tissues were found to follow the power law distribution independently of the spatial scale of analysis. Additionally, we tested the temporal changes by comparing data from younger and older mice. Both followed similar power law distributions, indicating that metabolite composition is not diversified by aging to disrupt the power law distribution. The power law distribution of metabolite abundance is thus a robust characteristic of a living system regardless of time and space.Shumpei SatoMakoto HorikawaTakeshi KondoTomohito SatoMitsutoshi SetouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Shumpei Sato
Makoto Horikawa
Takeshi Kondo
Tomohito Sato
Mitsutoshi Setou
A power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis
description Abstract Biomolecule abundance levels change with the environment and enable a living system to adapt to the new conditions. Although, the living system maintains at least some characteristics, e.g. homeostasis. One of the characteristics maintained by a living system is a power law distribution of biomolecule abundance levels. Previous studies have pointed to a universal characteristic of biochemical reaction networks, with data obtained from lysates of multiple cells. As a result, the spatial scale of the data related to the power law distribution of biomolecule abundance levels is not clear. In this study, we researched the scaling law of metabolites in mouse tissue with a spatial scale of quantification that was changed stepwise between a whole-tissue section and a single-point analysis (25 μm). As a result, metabolites in mouse tissues were found to follow the power law distribution independently of the spatial scale of analysis. Additionally, we tested the temporal changes by comparing data from younger and older mice. Both followed similar power law distributions, indicating that metabolite composition is not diversified by aging to disrupt the power law distribution. The power law distribution of metabolite abundance is thus a robust characteristic of a living system regardless of time and space.
format article
author Shumpei Sato
Makoto Horikawa
Takeshi Kondo
Tomohito Sato
Mitsutoshi Setou
author_facet Shumpei Sato
Makoto Horikawa
Takeshi Kondo
Tomohito Sato
Mitsutoshi Setou
author_sort Shumpei Sato
title A power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis
title_short A power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis
title_full A power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis
title_fullStr A power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis
title_full_unstemmed A power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis
title_sort power law distribution of metabolite abundance levels in mice regardless of the time and spatial scale of analysis
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/a7e1b59175074fa797898228b9f3a1ca
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