Dataset Information

Mismatch between mtDNA and nuclear DNA determines metabolism and healthy aging

ABSTRACT: We postulate here that the two singular characteristics of the mitochondrial oxidative phosphorylation system—the integration of three potentially antagonistic functions in the same structure and the double genetic origin of the components that assemble together in these molecular machines—make the evolution of an optimal system impossible. As a consequence the system is intrinsically mismatched and has to be continuously monitored, Adjusted and regulated in order to achieve the necessary and variable performance. Systematic transcriptomic, Metabolomic and biochemical evaluation of animals with identical nuclear DNA but different mtDNA haplotype strongly support the existence of intrinsic mismatch and reveals profound lifelong metabolic consequences on reactive oxygen species generation, Insulin signaling, Tendency towards obesity, And healthy ageing parameters, Including telomere atresia

ORGANISM(S): Mus musculus

PROVIDER: GSE56933 | GEO | 2016/07/13

SECONDARY ACCESSION(S): PRJNA245010

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: In mammals, female fertility is determined by the outcome of follicular development (ovulation or atresia). Follicular atresia is a complex physiological process that results in the degeneration of oocytes from the ovary. However, the molecular mechanisms of oocyte degeneration and key protein markers of follicular atresia remain unclear. In this study, we explored the complex transcriptional regulatory mechanisms and protein profiles in oocytes and follicular fluid in atretic follicle stages using single-cell RNA sequencing and tandem mass tag proteomics. Results: First, through paired analysis of different follicle development stages, we identified 175 atresia-specific genes and eight candidate oocyte-secreted factors, including PKG1, YTHDF2, and MYC. Meanwhile, we also characterized unique features of the oocyte transcriptional landscape in the atretic follicle stage that displayed cell death-related transcriptional changes and mechanisms, such as autophagy (TBK1 and IRS4), necroptosis (PKR), and apoptosis (MARCKS). Moreover, we identified atresia-specific genes, namely FTH1, TF, and ACSL4, which may participate in regulation of oocyte ferroptosis in atretic follicles through a series of mechanisms including ferritinophagy, ferritin transport, and lipid metabolism. Additionally, we uncovered 333 differentially expressed proteins that may coordinate follicular atresia and revealed key pathways, such as negative regulation of angiogenesis, metabolic pathways, and transcription and mRNA splicing, that lead to oocyte degeneration. Finally, by combining transcriptome and proteomics analyses, we identified two oocyte-secreted biomarkers, PGK1 and ANGPT2, that may be associated with follicular atresia. Conclusions: In conclusion, our work provides a comprehensive characterization of oocyte degeneration in ovine atretic follicles, which provides a basis for establishing an oocyte quality evaluation system and understanding the mechanism of follicular atresia in sheep, as well as an important reference for in vitro production of embryos.

Dataset Information

Mismatch between mtDNA and nuclear DNA determines metabolism and healthy aging

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets