An atlas of the aging mouse proteome reveals the features of age-related post-transcriptional dysregulation

To what extent and how post-transcriptional dysregulation affects aging proteome remains unclear. Here, we provide proteomic data of whole-tissue lysates (WTL) and low-solubility protein-enriched fractions (LSF) of major tissues collected from mice of 6, 15, 24, and 30 months of age. Low-solubility proteins are preferentially affected by age and the analysis of LSF doubles the number of proteins identified to be differentially expressed with age. Simultaneous analysis of proteome and transcriptome using the same tissue homogenates reveals the features of age-related post-transcriptional dysregulation. Post-transcriptional dysregulation becomes evident especially after 24 months of age and age-related post-transcriptional dysregulation leads to accumulation of core matrisome proteins and reduction of mitochondrial membrane proteins in multiple tissues. Based on our in-depth proteomic data and sample-matched transcriptome data of adult, middle-aged, old, and geriatric mice, we construct the Mouse aging proteomic atlas ( https://aging-proteomics.info/ ), which provides a thorough and integrative view of age-related gene expression changes.

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Publication Details

Journal
Nature Communications
Published
2024-10-02
DOI
https://doi.org/10.1038/s41467-024-52845-x
Citations
31
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
7.25

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article

An atlas of the aging mouse proteome reveals the features of age-related post-transcriptional dysregulation

Gregory Tombline, Jun Adachi, Vera Gorbunova, Naoko Ohtani et al.
31 citations
Nature Communications
Single-cell and spatial transcriptomics
7.25
article

An atlas of the aging mouse proteome reveals the features of age-related post-transcriptional dysregulation

Gregory Tombline, Jun Adachi, Vera Gorbunova, Naoko Ohtani, Kazuaki Takemura, Masaki Takasugi, Yuya Yoshida, Jennifer Schwarz, Frank Stein, Andrei Seluanov, Yoshiki Nonaka, Seyed Ali Biashad, Junko Satoh, Shinji Ito
article en
31 citations

Abstract

To what extent and how post-transcriptional dysregulation affects aging proteome remains unclear. Here, we provide proteomic data of whole-tissue lysates (WTL) and low-solubility protein-enriched fractions (LSF) of major tissues collected from mice of 6, 15, 24, and 30 months of age. Low-solubility proteins are preferentially affected by age and the analysis of LSF doubles the number of proteins identified to be differentially expressed with age. Simultaneous analysis of proteome and transcriptome using the same tissue homogenates reveals the features of age-related post-transcriptional dysregulation. Post-transcriptional dysregulation becomes evident especially after 24 months of age and age-related post-transcriptional dysregulation leads to accumulation of core matrisome proteins and reduction of mitochondrial membrane proteins in multiple tissues. Based on our in-depth proteomic data and sample-matched transcriptome data of adult, middle-aged, old, and geriatric mice, we construct the Mouse aging proteomic atlas ( https://aging-proteomics.info/ ), which provides a thorough and integrative view of age-related gene expression changes.

Nature CommunicationsVol. 15(1)
European Molecular Biology Organization (DE), Osaka Ohtani University (JP), Kyoto University (JP), National Institute of Biomedical Innovation, Health and Nutrition (JP), Osaka Metropolitan University (JP), University of Rochester (US), Tokyo Metropolitan University (JP)
Suzuken Memorial Foundation, Nakatomi Foundation, Mizutani Foundation for Glycoscience, Japan Agency for Medical Research and Development, University of Tokyo, Astellas Pharma, Astellas Foundation for Research on Metabolic Disorders, Senri Life Science Foundation, Chugai Pharmaceutical, Japan Society for the Promotion of Science, Japan Science and Technology Agency, Precursory Research for Embryonic Science and Technology
Zero hunger
Openalex Percentile: Top 2%
Single-cell and spatial transcriptomics
7.25
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