ArticlebioRxiv : the preprint server for biology2025
Divergent somatic mutation patterns among human cerebellar neuron types.
Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Updated by
Authors and funding
3 authors.
Funding
Abstract
Neurons in the human brain accumulate somatic mutations with age. However, it is largely unknown how somatic mutation rates and patterns vary among the brain's diverse types of neurons. Characterizing this variability is critical for elucidating the role of genome integrity in human brain function and disease. Moreover, the significant physiological differences among the brain's cell types provides an opportunity to learn more general underlying factors that determine mutation rates and patterns. Here, we utilized high-fidelity duplex DNA sequencing to profile somatic mutation processes across the lifespan in the two major cell types of the human cerebellum, Purkinje neurons and granule neurons, which have dramatically different sizes, functions, and physiologies. Surprisingly, these cell types exhibited similar rates of substitution mutations, including similar rates of signature SBS5 that is responsible for most mutations in the body yet whose mechanism remains unknown. However, we identified differences in Purkinje and granule neurons' patterns of substitutions and in their rates and patterns of insertions and deletions, with transcription playing a key role in mediating these differences. Our work indicates that different types of neurons in the brain can differ in their aging-related somatic mutation processes. Our results further suggest that key features that distinguish Purkinje neurons from granule neurons, such as cell size, metabolic rates, and neuronal firing rates, are unlikely to be intrinsic determinants of the total substitution mutation rate and of signature SBS5, which is the most prevalent aging-related mutational process.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.