ArticleData in brief2015
Data for mitochondrial proteomic alterations in the aging mouse brain.
Article in Data in brief, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Dynamic Mitochondrial Proteome Under Polyamines Treatment in Cardiac Aging.Frontiers in cell and developmental biology · 2022Article
- Quantitative proteomic analysis of murine white adipose tissue for peritoneal cancer metastasis.Analytical and bioanalytical chemistry · 2018Article
- Omics Approaches for Identifying Physiological Adaptations to Genome Instability in Aging.International journal of molecular sciences · 2017Review
- Tat-Mediated Induction of miRs-34a & -138 Promotes Astrocytic Activation via Downregulation of SIRT1: Implications for Aging in HAND.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2017Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Mitochondria are dynamic organelles critical for many cellular processes, including energy generation. Thus, mitochondrial dysfunction likely plays a role in the observed alterations in brain glucose metabolism during aging. Despite implications of mitochondrial alterations during brain aging, comprehensive quantitative proteomic studies remain limited. Therefore, to characterize the global age-associated mitochondrial proteomic changes in the brain, we analyzed mitochondria isolated from the brain of 5-, 12-, and 24-month old mice using quantitative mass spectrometry. We identified changes in the expression of proteins important for biological processes involved in the generation of precursor metabolites and energy through the breakdown of carbohydrates, lipids, and proteins. These results are significant because we identified age-associated proteomic changes suggestive of altered mitochondrial catabolic reactions during brain aging. The proteomic data described here can be found in the PRIDE Archive using the reference number PXD001370. A more comprehensive analysis of this data may be obtained from the article "Proteomic analysis and functional characterization of mouse brain mitochondria during aging reveal alterations in energy metabolism" in PROTEOMICS.
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Registered trials
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