Mitochondrial genome copy number variation across tissues in mice and humans
Détails
Télécharger: rath-et-al-2024-mitochondrial-genome-copy-number-variation-across-tissues-in-mice-and-humans-1.pdf (891.86 [Ko])
Etat: Public
Version: de l'auteur⸱e
Licence: CC BY 4.0
Etat: Public
Version: de l'auteur⸱e
Licence: CC BY 4.0
ID Serval
serval:BIB_CDDA57E98574
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Mitochondrial genome copy number variation across tissues in mice and humans
Périodique
Proceedings of the National Academy of Sciences
Statut éditorial
Publié
Date de publication
13/08/2024
Peer-reviewed
Oui
Langue
anglais
Résumé
The mammalian mitochondrial genome (mtDNA) is multicopy and its copy number
(mtCN) varies widely across tissues, in development and in disease. Here, we system-
atically catalog this variation by assaying mtCN in 52 human tissues across 952 donors
(10,499 samples from the Genotype-Tissue Expression project) and 20 murine tissues
using qPCR, capturing 50- and 200-fold variation, respectively. We also estimate per
cell mtCN across 173 human cell lines from the Cancer Cell Line Encyclopedia using
whole- genome sequencing data and observe >50- fold variation. We then leverage the
vast amount of genomics data available for these repositories to credential our resource
and uncover mtDNA-related biology. Using already existing proteomics data, we show
that variation in mtCN can be predicted by variation in TFAM, histone, and mito-
chondrial ribosome protein abundance. We also integrate mtCN estimates with the
CRISPR gene dependency measurements to find that cell lines with high mtCN are
resistant to loss of GPX4, a glutathione phospholipid hydroperoxidase. Our resource
captures variation in mtCN across mammalian tissues and should be broadly useful to
the research community.
(mtCN) varies widely across tissues, in development and in disease. Here, we system-
atically catalog this variation by assaying mtCN in 52 human tissues across 952 donors
(10,499 samples from the Genotype-Tissue Expression project) and 20 murine tissues
using qPCR, capturing 50- and 200-fold variation, respectively. We also estimate per
cell mtCN across 173 human cell lines from the Cancer Cell Line Encyclopedia using
whole- genome sequencing data and observe >50- fold variation. We then leverage the
vast amount of genomics data available for these repositories to credential our resource
and uncover mtDNA-related biology. Using already existing proteomics data, we show
that variation in mtCN can be predicted by variation in TFAM, histone, and mito-
chondrial ribosome protein abundance. We also integrate mtCN estimates with the
CRISPR gene dependency measurements to find that cell lines with high mtCN are
resistant to loss of GPX4, a glutathione phospholipid hydroperoxidase. Our resource
captures variation in mtCN across mammalian tissues and should be broadly useful to
the research community.
Site de l'éditeur
Création de la notice
02/12/2024 9:37
Dernière modification de la notice
03/12/2024 7:19