CircRNAs Analysis Involved in Aging


CircRNAs are stable non-coding RNA molecules that are formed by terminal covalent junctions. With the onset of aging, the level of circRNAs in the cells of an organism may increase as well as certain specific circRNAs may be detected. Therefore, it is important to determine whether changes in the expression of circRNAs are associated with aging and related diseases by assay analysis.

CD BioSciences is committed to partnering with you, we leverage advanced sequencing technologies to provide the best solution for your specific circRNA research project to help researchers deepen their understanding of the biology of aging circRNAs.

CircRNA Accumulation in Aging

CircRNA, which is a specific, highly stable, age-regulated circRNA formed by a reverse splicing mechanism, has been found to increase with aging in the brains of many organisms. Changes in circRNA expression during aging have been studied in various animal models of aging research, such as Drosophila, mice, and Cryptobacterium hidradenum, and evidence has accumulated that many circRNAs accumulate during aging.

A potential mechanism for circRNA accumulation during agingFig1. A potential mechanism for circRNA accumulation during aging (Knupp D and Miura P. 2018)

Therefore, in the study of human aging, we should also focus on the changes in circRNA expression associated with aging through circRNA detection technology, which may lead to the discovery of markers of biological aging and the development of therapies for age-related diseases.

Our Comprehensive CircRNAs Analysis Services

We can analyze the whole transcriptome range of known and unknown circRNAs in any species, enabling digital transcriptional expression analysis.

Sequencing Services

CircRNAs Analysis Involved in Aging

Our paired-end sequencing enables efficient detection of circRNAs and their genomic locations, ensuring high quality readout of samples. circRNA sequencing services include sample quality control, enrichment of circRNA species by degradation of rRNA and other linear RNA fragments, library preparation and sequencing, Known and unknown circRNAs can be identified and circRNA regulatory networks can be explored.

Data Services

CircRNAs Analysis Involved in Aging

High quality, high precision and standardized data services are essential and important for transcriptome analysis. We provide in-depth analysis of circRNA sequencing data, mainly including quality control, mapping statistics, circRNA target gene prediction, statistics and quantification of different circRNA types, differential expression and functional analysis of circRNAs, interaction with other RNAs, etc.

Our Advantages

  • Rigorous circRNA analysis methods can be used to fully characterize the expression levels of candidate circRNAs.
  • Obtain single-base resolution circRNA sequence information.
  • Supported by experienced scientists and advanced technology.
  • Standard software and a proven bioinformatics analysis system.
  • Customized services based on a wide range of needs, providing high-quality and publishable data results.

The analysis of circRNA can lead to better applications of circRNA in the fields of aging biology, anti-aging technology, and disease medicine. CD BioSciences provides comprehensive circRNA analysis services to meet our customers' requirements for the identification and functional characterization of aging-related circRNAs.

We have experienced professionals, advanced sequencing technologies, and are committed to providing the highest level of biological research services to accelerate your research process. For more services, please contact us.


  1. Ham S and Lee S. Advances in transcriptome analysis of human brain aging. Experimental and Molecular Medicine, 2020, 52(11):1787-1797.
  2. Knupp D and Miura P. CircRNA accumulation: A new hallmark of aging? Mechanisms of Ageing & Development, 2018:S0047637418300162.

Our services are for research use only and not for any clinical use.

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We are a comprehensive technology platform company integrating aging DNA methylation, telomere, transcriptome, proteome, and metabolome research.

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