Protein interaction potential landscapes for yeast replicative aging.

Cellular Senescence Protein Interaction Maps Saccharomyces cerevisiae / metabolism

Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
30 03 2021
Historique:
received: 05 10 2020
accepted: 15 03 2021
entrez: 31 3 2021
pubmed: 1 4 2021
medline: 26 10 2021
Statut: epublish

Résumé

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.

Identifiants

DOI: 10.1038/s41598-021-86415-8 PMID: 33785798 PMC: PMC8010020
pubmed: 33785798
doi: 10.1038/s41598-021-86415-8
pii: 10.1038/s41598-021-86415-8
pmc: PMC8010020
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

7143

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Auteurs

Hao-Bo Guo (HB)

Department of Computer Science and Engineering, The University of Tennessee at Chattanooga, Chattanooga, TN, 37405, USA. guohaobo@gmail.com.
SimCenter, The University of Tennessee at Chattanooga, Chattanooga, TN, 37405, USA. guohaobo@gmail.com.
Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, Dayton, OH, 45433, USA. guohaobo@gmail.com.

Mehran Ghafari (M)

Department of Computer Science and Engineering, The University of Tennessee at Chattanooga, Chattanooga, TN, 37405, USA.

Weiwei Dang (W)

Huffington Center on Aging, Baylor College of Medicine, Houston, TX, 77030, USA.

Hong Qin (H)

Department of Computer Science and Engineering, The University of Tennessee at Chattanooga, Chattanooga, TN, 37405, USA. hong-qin@utc.edu.
SimCenter, The University of Tennessee at Chattanooga, Chattanooga, TN, 37405, USA. hong-qin@utc.edu.
Department of Biology, Geology and Environmental Science, The University of Tennessee at Chattanooga, Chattanooga, TN, 37405, USA. hong-qin@utc.edu.

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Classifications MeSH

questionsmedicales.fr › Phénomènes physiologiques › Croissance et développement › Vieillissement › Vieillissement de la cellule › Protein interaction potential landscapes for...
questionsmedicales.fr › Métabolisme › Voies et réseaux métaboliques › Cartes d'interactions protéiques › Protein interaction potential landscapes for...
questionsmedicales.fr › Eucaryotes › Champignons › Levures › Saccharomyces › Saccharomyces cerevisiae › Protein interaction potential landscapes for...