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PXD010667 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMetabolic determination of cell fate through selective inheritance of mitochondria
DescriptionMetabolic characteristics of adult stem cells are distinct from their differentiated progeny, and cellular metabolism is emerging as a potential driver of cell fate conversions. However, how metabolism influences fate determination remains unclear. Here, we identified inherited metabolism imposed by functionally distinct mitochondrial age-classes as a fate determinant in asymmetric division of epithelial stem-like cells. While chronologically old mitochondria support oxidative respiration, new organelles are immature and metabolically less active. Upon cell division, selectively segregated mitochondrial age-classes elicit a metabolic bias in progeny cells, with old mitochondria imposing oxidative energy metabolism inducing differentiation. High pentose phosphate pathway flux, promoting redox maintenance, is favoured in cells receiving newly synthesised mitochondria, and is required to maintain stemness during early fate determination after division. Our results demonstrate that fate decisions are susceptible to intrinsic metabolic bias imposed by selectively inherited mitochondria.
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterAlessandro Ori
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListmonohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02018-08-02 08:42:41ID requested
12021-12-20 08:20:41announced
Publication List
Dataset with its publication pending
Keyword List
ProteomeXchange project tag: Mitochondria (HPP)
curator keyword: Biological
submitter keyword: Stem cells, Self-renewal, Differentiation, Organelles, Mitochondria, Energy metabolism
Contact List
Alessandro Ori
contact affiliationLeibniz Institute on Aging - Fritz Lipmann Institute FLI
contact emailalessandro.ori@leibniz-fli.de
lab head
Alessandro Ori
contact affiliationLeibniz Institute on Aging
contact emailaleori@gmail.com
dataset submitter
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