Transcriptomic clock
A Transcriptomic Clock is an aging clock that can be used to read the biological age of an organism directly from its gene expression, the transcriptome. [1] This concept has been published by David Meyer and Björn Schumacher on 3 March 2021.
History
An Epigenetic Clock was published to estimate biological age based on the pattern of methylations.[1] However, DNA methylation is absent in some species such as Caenorhabditis elegans. The effect of epigenetic clocks on gene expression is still unclear.
Principal
A Transcriptomic clock is based on approximately 1,000 different transcriptomes of C. elegans, for which the lifespan is accurately known. Temporal scaling and binarization of C. elegans transcriptomes have been used to define a gene set which can predict biological age with an accuracy that is close to the theoretical limit.[2]
Application
It allows researchers to predict the pro- and anti-aging effects of gene variants and various external factors in the nematode at a young age. It shows that genes of the immune system and neuronal signalling play an important role in aging.[1][2]
Human age can be predicted accurately by the transcriptomic clock.[3]
References
- ↑ 1.0 1.1 1.2 "New transcriptome‐based aging clock reads the biological age of an organism". News-Medical.net. 2021-03-03. Retrieved 2022-05-06.
- ↑ 2.0 2.1 Meyer, David H.; Schumacher, Björn (March 2021). "BiT age: A transcriptome-based aging clock near the theoretical limit of accuracy". Aging Cell. 20 (3): e13320. doi:10.1111/acel.13320. ISSN 1474-9726. PMC 7963339 Check
|pmc=value (help). PMID 33656257 Check|pmid=value (help). - ↑ "The Binarized Transcriptomic Aging Clock". Fight Aging!. 2021-03-10. Retrieved 2022-05-06.
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