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Genome-wide Purification of Extrachromosomal Circular DNA from Eukaryotic Cells
Published on: April 4, 2016
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Extrachromosomal Circular DNA: Current Knowledge and Implications for CNS Aging and Neurodegeneration
Quratul Ain1, Christian Schmeer1,2, Diane Wengerodt1
1Hans-Berger Department of Neurology, Jena University Hospital, 07747 Jena, Thuringia, Germany.
International Journal of Molecular Sciences
|April 8, 2020
Summary
Extrachromosomal circular DNAs accumulate in the aging brain, potentially driving neurodegeneration. Understanding their role in central nervous system (CNS) aging is crucial for future research.
Area of Science:
- Genetics
- Neuroscience
- Molecular Biology
Background:
- Somatic gene copy number alterations impact organ function and aging.
- Post-mitotic neurons in the central nervous system (CNS) accumulate DNA damage over a lifetime.
- DNA damage and repair can generate extrachromosomal circular DNA (eccDNA).
Purpose of the Study:
- To explore the role of extrachromosomal circular DNA in CNS aging and neurodegeneration.
- To summarize current knowledge on eccDNA biogenesis, homeostasis, and gene regulatory impacts.
- To propose a critical function for the 'circulome' in the aging brain.
Main Methods:
- Literature review and synthesis of current knowledge on eccDNA.
- Analysis of eccDNA's potential role in DNA damage and repair mechanisms.
- Comparison of eccDNA functions in tumor tissues and the CNS.
Main Results:
- Extrachromosomal circular DNAs can amplify gene copies and transcripts, creating a dynamic chromatin pool.
- Mosaicism of circular DNAs is implicated in cancer plasticity and drug resistance.
- The 'circulome' is proposed to play a significant role in CNS aging and neurodegeneration.
Conclusions:
- The accumulation and impact of somatic gene copy number alterations on CNS aging remain largely unresolved.
- Extrachromosomal circular DNAs are potential key players in the aging process and age-related neurodegenerative diseases.
- Future research should investigate the specific influence of eccDNA based on sequence complexity, distribution, and cell-type abundance.
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