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Single-cell transcriptomic and genomic changes in the ageing human brain by Ailsa M. Jeffries & Tianxiong Yu & Jennifer S. Ziegenfuss & Allie K. Tolles & Christina E. Baer & Cesar Bautista Sotelo & Yerin Kim & Zhiping Weng & Michael A. Lodato instant download

  • SKU: EBN-238687446
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Instant download (eBook) Single-cell transcriptomic and genomic changes in the ageing human brain after payment.
Authors:Ailsa M. Jeffries & Tianxiong Yu & Jennifer S. Ziegenfuss & Allie K. Tolles & Christina E. Baer & Cesar Bautista Sotelo & Yerin Kim & Zhiping Weng & Michael A. Lodato
Pages:updating ...
Year:2025
Publisher:x
Language:english
File Size:29.41 MB
Format:pdf
Categories: Ebooks

Product desciption

Single-cell transcriptomic and genomic changes in the ageing human brain by Ailsa M. Jeffries & Tianxiong Yu & Jennifer S. Ziegenfuss & Allie K. Tolles & Christina E. Baer & Cesar Bautista Sotelo & Yerin Kim & Zhiping Weng & Michael A. Lodato instant download

Nature, doi:10.1038/s41586-025-09435-8

Over time, cells in the brain and in the body accumulate damage, which contributes to the ageing process1. In the human brain, the prefrontal cortex undergoes age-related changes that can afect cognitive functioning later in life2. Here, using single-nucleus Check for updatesRNA sequencing (snRNA-seq), single-cell whole-genome sequencing (scWGS) and spatial transcriptomics, we identify gene-expression and genomic changes in the human prefrontal cortex across lifespan, from infancy to centenarian. snRNA-seq identifed infant-specifc cell clusters enriched for the expression of neurodevelopmental genes, as well as an age-associated common downregulation of cell-essential homeostatic genes that function in ribosomes, transport and metabolism across cell types. Conversely, the expression of neuron-specifc genes generally remains stable throughout life. These fndings were validated with spatial transcriptomics. scWGS identifed two age-associated mutational signatures that correlate with gene transcription and gene repression, respectively, and revealed gene length- and expression-level-dependent rates of somatic mutation in neurons that correlate with the transcriptomic landscape of the aged human brain. Our results provide insight into crucial aspects of human brain development and ageing, and shed light on transcriptomic and genomic dynamics.

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