Somatic mutations in neurodegeneration: from detection to disease mechanisms

Abstract Somatic mutations are postzygotic DNA alterations that accumulate throughout development and aging, underlying somatic mosaicism across cell populations. Neurons are particularly vulnerable due to oxidative stress, high metabolic demand, and age-related decline in DNA damage response pathways, promoting cell-type-specific dysfunction. Somatic repeat instability is an established driver in Huntington’s disease, yet the extent and functional impact of somatic mutagenesis in Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis remains unresolved. This article highlights how advances in single-cell and single-molecule sequencing, integrated with computational and machine learning approaches, support detecting ultra-rare variants and establishing causal links between somatic mutagenesis and neurodegeneration.

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Publication Details

Journal
BMC Biology
Published
2026-11-05
DOI
https://doi.org/10.1186/s12915-026-02778-2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

Somatic mutations in neurodegeneration: from detection to disease mechanisms

Marta Olejniczak, Anna Piaszyk-Borychowska, Weronika Śliwińska
BMC Biology
Single-cell and spatial transcriptomics
article

Somatic mutations in neurodegeneration: from detection to disease mechanisms

Marta Olejniczak, Anna Piaszyk-Borychowska, Weronika Śliwińska
article en

Abstract

Abstract Somatic mutations are postzygotic DNA alterations that accumulate throughout development and aging, underlying somatic mosaicism across cell populations. Neurons are particularly vulnerable due to oxidative stress, high metabolic demand, and age-related decline in DNA damage response pathways, promoting cell-type-specific dysfunction. Somatic repeat instability is an established driver in Huntington’s disease, yet the extent and functional impact of somatic mutagenesis in Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis remains unresolved. This article highlights how advances in single-cell and single-molecule sequencing, integrated with computational and machine learning approaches, support detecting ultra-rare variants and establishing causal links between somatic mutagenesis and neurodegeneration.

BMC Biology
Institute of Bioorganic Chemistry, Polish Academy of Sciences (PL)
Openalex Percentile: Top 26%
Single-cell and spatial transcriptomics
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