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The Effect of Aging on Tissues

The Effect of Aging on Tissues

Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...

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Tracing Gene Expression Through Detection of β-galactosidase Activity in Whole Mouse Embryos

Tracing Gene Expression Through Detection of β-galactosidase Activity in Whole Mouse Embryos

Published on: June 26, 2018

AGEMAP: a gene expression database for aging in mice.

Jacob M Zahn¹, Suresh Poosala, Art B Owen

¹Department of Developmental Biology, Stanford University Medical Center, Stanford, California, United States of America.

|December 18, 2007

Summary

This summary is machine-generated.

The Atlas of Gene Expression in Mouse Aging Project (AGEMAP) reveals diverse aging patterns across mouse tissues. While some tissues show significant age-related changes, others maintain homeostasis, with common aging markers found in the electron transport chain across species.

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Area of Science:

Genomics
Aging Research
Comparative Biology

Background:

Gene expression patterns change with age.
Understanding tissue-specific aging is crucial for aging research.
Mouse models are widely used to study aging processes.

Purpose of the Study:

To create a comprehensive gene expression database for aging mice.
To identify tissue-specific aging patterns and their relation to organismal decline.
To compare aging mechanisms across different species.

Main Methods:

Cataloged age-related gene expression changes for 8,932 genes in 16 mouse tissues.
Classified tissues into three distinct aging process patterns.
Compared mouse aging transcriptional profiles with human, fly, and worm data.

Main Results:

Significant heterogeneity in age-related transcriptional changes across tissues observed.
Identified three distinct aging patterns: neural, vascular, and steroid-responsive.
Observed coordinated tissue aging within individual mice (rapid vs. slow aging).
Electron transport chain genes showed conserved age regulation across mice, humans, flies, and worms.
No overall correlation in age regulation between mice and humans was found.

Conclusions:

Mouse aging exhibits significant tissue-specific heterogeneity and coordinated aging.
Aging processes in mice and humans may be fundamentally different.
Electron transport chain genes are potential universal markers of aging.