In vivo assay and modelling of protein and mitochondrial turnover during aging.


Journal

Fly
ISSN: 1933-6942
Titre abrégé: Fly (Austin)
Pays: United States
ID NLM: 101470897

Informations de publication

Date de publication:
12 2021
Historique:
entrez: 18 5 2021
pubmed: 19 5 2021
medline: 15 12 2021
Statut: ppublish

Résumé

To maintain homoeostasis, cells must degrade damaged or misfolded proteins and synthesize functional replacements. Maintaining a balance between these processes, known as protein turnover, is necessary for stress response and cellular adaptation to a changing environment. Damaged mitochondria must also be removed and replaced. Changes in protein and mitochondrial turnover are associated with aging and neurodegenerative disease, making it important to understand how these processes occur and are regulated in cells. To achieve this, reliable assays of turnover must be developed. Several methods exist, including pulse-labelling with radioactive or stable isotopes and strategies making use of fluorescent proteins, each with their own advantages and limitations. Both cell culture and live animals have been used for these studies, in systems ranging from yeast to mammals. In vivo assays are especially useful for connecting turnover to aging and disease. With its short life cycle, suitability for fluorescent imaging, and availability of genetic tools,

Identifiants

pubmed: 34002678
doi: 10.1080/19336934.2021.1911286
pmc: PMC8143256
doi:

Substances chimiques

Drosophila Proteins 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

60-72

Subventions

Organisme : NIA NIH HHS
ID : R01 AG057741
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM118289
Pays : United States

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Auteurs

Hans S Bell (H)

Molecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.

John Tower (J)

Molecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.

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Classifications MeSH