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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Nature Portfolio
2021
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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) |
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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 |
work_keys_str_mv |
AT haoboguo proteininteractionpotentiallandscapesforyeastreplicativeaging AT mehranghafari proteininteractionpotentiallandscapesforyeastreplicativeaging AT weiweidang proteininteractionpotentiallandscapesforyeastreplicativeaging AT hongqin proteininteractionpotentiallandscapesforyeastreplicativeaging |
_version_ |
1718391356808757248 |