Evidence map›Paper›PMID 41256656›Full record

ArticlebioRxiv : the preprint server for biology2025

Divergent somatic mutation patterns among human cerebellar neuron types.

Marta Grońska-Pęski, Amoolya Srinivasa, Gilad D Evrony

Abstract readPreprint
In one paragraph

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.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Marta Grońska-PęskiCenter for Human Genetics and Genomics, New York University Grossman School of Medicine, USA.
Amoolya SrinivasaCenter for Human Genetics and Genomics, New York University Grossman School of Medicine, USA.
Gilad D EvronyCenter for Human Genetics and Genomics, New York University Grossman School of Medicine, USA.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
Postdoctoral Research Training in Neurodegenerative Disorders and the Aging BrainT32AG052909 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Helen E Scharfman, THOMAS M WISNIEWSKI · 2017 to 2026
$2.5M
Ultra-High Fidelity Single-Molecule Profiling of Mosaic Double- and Single-Strand DNA Mutations and DamageUH3NS132024 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Gilad David Evrony · 2025 to 2026
$1.3M
The PacBio Sequel for Single Molecule, Real-Time, Long Read SequencingS10OD023423 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HEGUY, ADRIANA · 2017 to 2017
$350k
Measurement of cell-type specific somatic mutation rates in the aging human brain - Resubmission – 1F32AG076287 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GRONSKA-PESKI, MARTA · 2022 to 2023
$139k
NCI NIH HHS P30 CA016087NIA NIH HHS F32 AG076287NIA NIH HHS T32 AG052909NIH HHS S10 OD023423NINDS NIH HHS UH3 NS132024
6 · The paper itself

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

PMID41256656
PMCPMC12622032

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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.