Protein interaction potential landscapes for yeast replicative aging

Abstract We proposed a novel interaction potential landscape approach to map the systems-level profile changes of gene networks during replicative aging in Saccharomyces cerevisiae. This approach enabled us to apply quasi-potentials, the negative logarithm of the probabilities, to calibrate the elev...

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Autores principales: Hao-Bo Guo, Mehran Ghafari, Weiwei Dang, Hong Qin
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1f4ae4dfcc5347d9960cadfb3996025b
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spelling oai:doaj.org-article:1f4ae4dfcc5347d9960cadfb3996025b2021-12-02T14:25:32ZProtein interaction potential landscapes for yeast replicative aging10.1038/s41598-021-86415-82045-2322https://doaj.org/article/1f4ae4dfcc5347d9960cadfb3996025b2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86415-8https://doaj.org/toc/2045-2322Abstract We proposed a novel interaction potential landscape approach to map the systems-level profile changes of gene networks during replicative aging in Saccharomyces cerevisiae. This approach enabled us to apply quasi-potentials, the negative logarithm of the probabilities, to calibrate the elevation of the interaction landscapes with young cells as a reference state. Our approach detected opposite landscape changes based on protein abundances from transcript levels, especially for intra-essential gene interactions. We showed that essential proteins play different roles from hub proteins on the age-dependent interaction potential landscapes. We verified that hub proteins tend to avoid other hub proteins, but essential proteins prefer to interact with other essential proteins. Overall, we showed that the interaction potential landscape is promising for inferring network profile change during aging and that the essential hub proteins may play an important role in the uncoupling between protein and transcript levels during replicative aging.Hao-Bo GuoMehran GhafariWeiwei DangHong QinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Hao-Bo Guo
Mehran Ghafari
Weiwei Dang
Hong Qin
Protein interaction potential landscapes for yeast replicative aging
description Abstract We proposed a novel interaction potential landscape approach to map the systems-level profile changes of gene networks during replicative aging in Saccharomyces cerevisiae. This approach enabled us to apply quasi-potentials, the negative logarithm of the probabilities, to calibrate the elevation of the interaction landscapes with young cells as a reference state. Our approach detected opposite landscape changes based on protein abundances from transcript levels, especially for intra-essential gene interactions. We showed that essential proteins play different roles from hub proteins on the age-dependent interaction potential landscapes. We verified that hub proteins tend to avoid other hub proteins, but essential proteins prefer to interact with other essential proteins. Overall, we showed that the interaction potential landscape is promising for inferring network profile change during aging and that the essential hub proteins may play an important role in the uncoupling between protein and transcript levels during replicative aging.
format article
author Hao-Bo Guo
Mehran Ghafari
Weiwei Dang
Hong Qin
author_facet Hao-Bo Guo
Mehran Ghafari
Weiwei Dang
Hong Qin
author_sort Hao-Bo Guo
title Protein interaction potential landscapes for yeast replicative aging
title_short Protein interaction potential landscapes for yeast replicative aging
title_full Protein interaction potential landscapes for yeast replicative aging
title_fullStr Protein interaction potential landscapes for yeast replicative aging
title_full_unstemmed Protein interaction potential landscapes for yeast replicative aging
title_sort protein interaction potential landscapes for yeast replicative aging
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/1f4ae4dfcc5347d9960cadfb3996025b
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AT mehranghafari proteininteractionpotentiallandscapesforyeastreplicativeaging
AT weiweidang proteininteractionpotentiallandscapesforyeastreplicativeaging
AT hongqin proteininteractionpotentiallandscapesforyeastreplicativeaging
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