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Unravelling genome-wide mosaic microsatellite mutations at single-cell resolution.
Chunyi Wang1,2,3, Wenxuan Fan1,2,3, Weixiang Wang1,2,4,3
1School of Life Sciences, Westlake University, Hangzhou, Zhejiang, 310024, China.
Biorxiv : the Preprint Server for Biology
|February 12, 2026
Summary
We developed BayesMonSTR to detect mosaic short tandem repeat (STR) mutations in single cells. This reveals longer STR insertions and deletions accumulate with age, particularly in brain neurons, impacting gene regulation.
Area of Science:
- Genomics
- Molecular Biology
- Aging Research
Background:
- Short tandem repeats (STRs) are mutable genomic regions involved in gene regulation and disease.
- Detecting mosaic STR mutations at single-cell resolution is technically challenging.
Purpose of the Study:
- To develop a robust algorithm for accurate detection of mosaic STR mutations at single-cell resolution.
- To investigate the landscape of mosaic STR variation in human aging and different cell types.
Main Methods:
- Development of the BayesMonSTR algorithm for mosaic STR mutation detection.
- Single-cell analysis of human tissues to identify and quantify STR mutations.
- Comparative analysis of mutation burden across different cell types (neurons, B cells, lung epithelium) and ages.
Main Results:
- BayesMonSTR enables accurate detection of mosaic STR mutations.
- Mosaic STR insertions and deletions (indels) accumulate in aging cells.
- Prefrontal cortex neurons show a higher burden of STR mutations than B cells or lung cells, with increased deletions in aged neurons.
- Mutations are enriched at transcription start sites and active enhancers of highly expressed genes.
Conclusions:
- BayesMonSTR provides a foundation for discovering disease-associated mosaic STR mutations.
- Aging is associated with an accumulation of mosaic STR indels, especially in neurons.
- Mosaic STR variation represents a previously unexplored aspect of human development and aging.
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