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Systematic transcriptome analysis associated with physiological and chronological aging in Caenorhabditis elegans
Seokjin Ham1, Sieun S Kim1, Sangsoon Park1
1Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon 34141, South Korea.
Genome Research
|November 9, 2022
Summary
This study reveals distinct transcriptomic patterns for chronological and physiological aging in model organisms. Key findings differentiate gene expression changes, offering insights into aging processes.
Area of Science:
- Molecular Biology
- Genomics
- Aging Research
Background:
- Aging involves complex transcriptomic changes, including gene expression alterations.
- Differentiating chronological and physiological aging at the transcriptomic level presents a significant challenge.
- Understanding these differences is crucial for aging research.
Purpose of the Study:
- To analyze and differentiate transcriptomic features associated with physiological and chronological aging.
- To identify distinct molecular markers for each aging type.
- To utilize *Caenorhabditis elegans* as a model system for aging transcriptomics.
Main Methods:
- Transcriptomic analysis of *Caenorhabditis elegans* at different aging stages.
- Differential gene expression analysis focusing on RNA transcripts.
- Identification of specific transcript elements (e.g., noncoding RNAs, mRNAs, intron-derived transcripts) and splice site usage.
Main Results:
- Chronological aging showed up-regulation of structural and functional transcript elements like noncoding RNAs and intron-derived transcripts.
- Physiological aging was characterized by down-regulation of mRNAs involved in biological functions, including RNA processing.
- An age-dependent increase in distal 3' splice site usage in mRNA transcripts was identified as a biomarker for physiological aging.
Conclusions:
- Distinct transcriptomic signatures differentiate chronological and physiological aging.
- Noncoding RNAs and intron-derived transcripts are key indicators of chronological aging.
- mRNA down-regulation and altered splice site usage characterize physiological aging, providing novel biomarkers.
