Summary: Researchers have developed the Mouse Aging Proteomic Atlas, a comprehensive database detailing protein changes in major tissues as mice age. By analyzing proteomes and transcriptomes across tissues like the brain, heart, and skin, they uncovered proteins linked to aging, particularly in the extracellular matrix.
This atlas enhances our understanding of aging at the molecular level, identifying potential targets to prevent age-related diseases. These findings provide a valuable resource for future research into the mechanisms and prevention of aging-related conditions.
Key Facts:
- The Mouse Aging Proteomic Atlas maps protein changes in aging tissues.
- Researchers identified age-related proteins, especially in the extracellular matrix.
- Insights from this database could help target age-related diseases for prevention.
Source: Osaka Metropolitan University
With the worldwide population aging at an unprecedented rate, the prevention of age-related diseases has become a prominent issue. It is important to comprehensively and quantitatively evaluate the changes that aging causes at the molecular level in the body.
By doing so, it may be possible to pinpoint specific aging factors and suppress age-related diseases.
Addressing this problem, previously conducted research established an atlas of changes in major tissues from aging by determining the extent to which mRNA was produced within living cells. However, there has not been an atlas of changes in proteins associated with aging.
To fill this gap in research, a team led by Lecturer Masaki Takasugi and Professor Naoko Ohtani at Osaka Metropolitan University’s Graduate School of Medicine constructed a highly comprehensive database called the Mouse Aging Proteomic Atlas.
They did so by analyzing the proteomes and transcriptomes of brain, artery, heart, kidney, liver, lung, skeletal muscle, and skin tissues of 6-, 15-, 24-, and 30-month-old mice, as well as extracellular matrix-enriched fractions of major tissues.
Through this, it became possible to analyze the characteristics of protein groups affected by aging in major tissues and revealed proteins in the extracellular matrix that increased with age.
“By clarifying the changes in various tissues due to aging in detail with regard to the number of proteins that are directly linked to gene function, we have dramatically improved our understanding of the overall changes on the molecular level,” said Dr. Takasugi.
Professor Ohtani concluded, “The results of this research are expected to contribute to a better understanding of the changes that occur with age.”
About this genetics and aging research news
Author: Yung-Hsiang Kao
Source: Osaka Metropolitan University
Contact: Yung-Hsiang Kao – Osaka Metropolitan University
Image: The image is credited to Neuroscience News
Original Research: Open access.
“An atlas of the aging mouse proteome reveals the features of age-related post-transcriptional dysregulation” by Masaki Takasugi et al. Nature Communications
Abstract
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.
