Episode 308

March 05, 2026

00:22:25

308: PANDORA-seq reveals conserved rsRNA length shift and tsRNA/rsRNA aging cliff in mouse and human sperm

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Gustavo B Barra
308: PANDORA-seq reveals conserved rsRNA length shift and tsRNA/rsRNA aging cliff in mouse and human sperm
Base by Base
308: PANDORA-seq reveals conserved rsRNA length shift and tsRNA/rsRNA aging cliff in mouse and human sperm

Mar 05 2026 | 00:22:25

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Show Notes

Shi J et al., The EMBO Journal - PANDORA-seq profiling of mouse and human sperm heads identifies a conserved rsRNA length shift with age and a tsRNA/rsRNA 'aging cliff' that reprograms embryonic transcripts.

Study Highlights:
Using PANDORA-seq on C57BL/6J mouse sperm (intact and de-membranated heads) across five age groups and two independent human sperm cohorts, the authors identify a sharp tsRNA/rsRNA "aging cliff" in mice between 50–70 weeks and a head-specific rsRNA length shift. PANDORA-seq overcomes modification-induced detection bias to reveal increases in longer rsRNAs and decreases in shorter rsRNAs, particularly from 28S- and 18S-rRNAs, with parallel trends in human cohorts. Mitochondrial tsRNAs/rsRNAs in sperm heads, although low abundance, covary with genomic sncRNAs and help distinguish age groups. Transfection of age-mimicking tsRNA/rsRNA cocktails into mouse embryonic stem cells reprograms gene expression, upregulating metabolic and neurodegeneration-related pathways, providing a functional link to offspring phenotypes.

Conclusion:
PANDORA-seq uncovers a conserved, sperm head–specific rsRNA length shift and a tsRNA/rsRNA aging cliff in mice and humans, and age-mimicking sncRNA combinations can alter embryonic transcriptomes linked to metabolic and neurodegenerative pathways.

Music:
Enjoy the music based on this article at the end of the episode.

Reference:
Shi J, Zhang X, Cai C, Liu S, Yu J, James ER, et al. Conserved shifts in sperm small non-coding RNA profiles during mouse and human aging. The EMBO Journal. 2026;45(4):1362–1380. https://doi.org/10.1038/s44318-025-00687-8

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/

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