Targeted single-nucleus sequencing of 39,800 neurons reveals extensive low-frequency somatic variants
Bidhan, V.; Wynants, S.; Swings, T.; Vicente, C. T.; Kucukali, F.; Van den Broeck, M.; van Rooij, J. G.; Mol, M. O.; Donker Kaat, L. L.; Al-Sarraj, S.; Bodi, I.; King, A.; Troakes, C.; Proukakis, C.; Schaeverbeke, J.; Thal, D. R.; Vandenberghe, R.; Vandenbulcke, M.; Nguyen, A. T.; Reichard, R. R.; Kofler, J.; Lopez, O. L.; White,, C. L.; Boeve, B. F.; Graff-Radford, N. R.; Josephs, K. A.; Petersen, R. C.; Ghayal, N. B.; Murray, M. E.; Dickson, D. W.; van Swieten, J. C.; Sleegers, K.; Seelaar, H.; De Coster, W.; Rademakers, R.
Show abstract
Recent evidence implicates somatic mutations in disease-associated genes across multiple neurodegenerative disorders, including the identification of two somatic TARDBP variants as a putative cause of frontotemporal lobar degeneration with TDP-43 pathology type C (FTLD-TDP type C). However, these findings remain anecdotal. We performed single-nucleus amplicon sequencing of 39,800 neurons from the superior temporal gyrus of sporadic FTLD-TDP type C patients (34,738 neurons, 52 individuals) and non-demented controls (5,062 neurons, 26 individuals) using the Mission Bio Tapestri platform and investigated somatic variants in TARDBP and other FTLD-TDP-associated genes in a case-control setting. We uncovered an extensive landscape of ultra-low-frequency (<1%) somatic mutations across all analysed genes, including TARDBP. Rare somatic occurrences of known ALS/FTD-associated germline TARDBP variants, including p.N267S and p.M337V, were identified exclusively in patients. Among all targeted genes, TARDBP had the highest proportion of neurons harbouring a somatic variant, and this mutational burden was lower in individuals who died at an older age. Strikingly, the C-terminal domain of TDP-43, where most ALS/FTD germline pathogenic variants reside, exhibited a lower neuronal mutational burden than its other domains. This suggests that neurons harbouring damaging mutations may undergoprogressive loss prior to autopsy, leaving only rare survivors at frequencies too low to detect by bulk or small-scale single-cell approaches. Together, our findings provide an unprecedented resolution into the somatic mutational landscape of post-mitotic neurons in FTLD-TDP type C and reveal a gene-specific layer of neuronal mosaicism that current single-cell WGS studies fail to detect.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Nuclear depletion of RNA binding protein ELAVL3 (HuC) in sporadic and familial amyotrophic lateral sclerosis 94%
- Dysregulated coordination of MAPT exon 2 and exon 10 splicing underlies different tau pathologies in PSP and AD 94%
- Single-cell transcriptomic landscape of the neuroimmune compartment in amyotrophic lateral sclerosis brain and spinal cord 94%
Similar papers in this journal
- Deciphering Distinct Genetic Risk Factors for FTLD-TDP Pathological Subtypes via Whole-Genome Sequencing 94%
- Single-nucleus epigenomic dysregulation unmasks genetic risk-associated neurodegenerative glia states 94%
- Molecular Signatures of Resilience to Alzheimer's Disease in Neocortical Layer 4 Neurons 94%
Similar papers in this journal
Similar papers in this journal
- Divergent and Convergent TMEM106B Pathology in Murine Models of Neurodegeneration and Human Disease 94%
- Single-cell Spatial Proteomic Imaging for Human Neuropathology 92%
- Copper supplementation mitigates Parkinson-like wild-type SOD1 pathology and nigrostriatal degeneration in a novel mouse model 92%
Similar papers in this journal
- Postmortem Cortex Samples Identify Distinct Molecular Subtypes of ALS: Retrotransposon Activation, Oxidative Stress, and Activated Glia 95%
- ALS molecular subtypes are a combination of cellular, genetic, and pathological features learned by deep multiomics classifiers 95%
- TDP-43-stratified single-cell proteomic profiling of postmortem human spinal motor neurons reveals protein dynamics in amyotrophic lateral sclerosis 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.