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Somatic genomic changes in single Alzheimer’s disease neurons
Open accessAbstract
Dementia in Alzheimer's disease progresses alongside neurodegeneration 1-4, but the specific events that cause neuronal dysfunction and death remain poorly understood. During normal ageing, neurons progressively accumulate somatic mutations 5 at rates similar to those of dividing cells 6,7 which suggests that genetic factors, environmental exposures or disease states might influence this accumulation 5. Here we analysed single-cell whole-genome sequencing data from 319 neurons from the prefrontal cortex and hippocampus of individuals with Alzheimer's disease and neurotypical control individuals. We found that somatic DNA alterations increase in individuals with Alzheimer's disease, with distinct molecular patterns. Normal neurons accumulate mutations primarily in an age-related pattern (signature A), which closely resembles 'clock-like' mutational signatures that have been previously described in healthy and cancerous cells 6-10. In neurons affected by Alzheimer's disease, additional DNA alterations are driven by distinct processes (signature C) that highlight C>A and other specific nucleotide changes. These changes potentially implicate nucleotide oxidation 4,11, which we show is increased in Alzheimer's-disease-affected neurons in situ. Expressed genes exhibit signature-specific damage, and mutations show a transcriptional strand bias, which suggests that transcription-coupled nucleotide excision repair has a role in the generation of mutations. The alterations in Alzheimer's disease affect coding exons and are predicted to create dysfunctional genetic knockout cells and proteostatic stress. Our results suggest that known pathogenic mechanisms in Alzheimer's disease may lead to genomic damage to neurons that can progressively impair function. The aberrant accumulation of DNA alterations in neurodegeneration provides insight into the cascade of molecular and cellular events that occurs in the development of Alzheimer's disease.
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“This is especially relevant when DNA damage impacts on stem cells, hampering their role in tissue renewal or leading to their exhaustion, which in turn promotes aging and increases susceptibility to age-related pathologies 6,7 .”
From Hallmarks of aging: An expanding universe (2023) · cites this paper as [7]
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“Previous studies have shown increased neuronal genomic mosaicism (including SNVs, copy number variations, and cDNA insertions in neurodegeneration)124–128.”
From Neuronal DNA double-strand breaks lead to genome structural variations and 3D genome disruption in neurodegeneration (2023) · cites this paper as [125]
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Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
lmerTest Package: Tests in Linear Mixed Effects Models
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017) · Journal of Statistical Software · doi:10.18637/jss.v082.i13 · Cited by 24,346
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,724
Signatures of mutational processes in human cancer
Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature · doi:10.1038/nature12477 · Cited by 9,660
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587
Massively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14049 · Cited by 7,353
Gene ontology analysis for RNA-seq: accounting for selection bias
Young, M. D., Wakefield, M. J., Smyth, G. K., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-2-r14 · Cited by 7,107
Cited by
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Hallmarks of aging: An expanding universe
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2023) · Cell · doi:10.1016/j.cell.2022.11.001 · Cited by 6,549
Methods and applications for single-cell and spatial multi-omics
Vandereyken, K., Sifrim, A., Thienpont, B., & Voet, T. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00580-2 · Cited by 1,244
Applications of single-cell RNA sequencing in drug discovery and development
de Sande, B. V., Lee, J. S., Mutasa-Gottgens, E., Naughton, B. J., Bacon, W., Manning, J. R., Wang, Y., Pollard, J. R., Mendez, M., Hill, J., et al. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-023-00688-4 · Cited by 462
Alzheimer’s disease: insights into pathology, molecular mechanisms, and therapy
Zheng, Q., & Wang, X. (2024) · Protein & Cell · doi:10.1093/procel/pwae026 · Cited by 483
Redox regulation: mechanisms, biology and therapeutic targets in diseases
Li, B., Ming, H., Qin, S., Nice, E. C., Dong, J., Du, Z., & Huang, C. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02095-6 · Cited by 389
Wei, L., Yang, X., Wang, J., Wang, Z., Wang, Q., Ding, Y., & Yu, A. (2023) · Journal of Neuroinflammation · doi:10.1186/s12974-023-02879-7 · Cited by 286
Epigenomic dissection of Alzheimer’s disease pinpoints causal variants and reveals epigenome erosion
Xiong, X., James, B. T., Boix, C. A., Park, Y. P., Galani, K., Victor, M. B., Sun, N., Hou, L., Ho, L.-L., Mantero, J., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.040 · Cited by 205
The interaction between ageing and Alzheimer's disease: insights from the hallmarks of ageing
Liu, Y., Tan, Y., Zhang, Z., Yi, M., Zhu, L., & Peng, W. (2024) · Translational Neurodegeneration · doi:10.1186/s40035-024-00397-x · Cited by 156
Dileep, V., Boix, C. A., Mathys, H., Marco, A., Welch, G. M., Meharena, H. S., Loon, A., Jeloka, R., Peng, Z., Bennett, D. A., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.038 · Cited by 130
Luquette, L. J., Miller, M. B., Zhou, Z., Bohrson, C. L., Zhao, Y., Jin, H., Gulhan, D., Ganz, J., Bizzotto, S., Kirkham, S., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01180-2 · Cited by 108
Self-citationSingle-nucleus RNA-sequencing of autosomal dominant Alzheimer disease and risk variant carriers
Brase, L., You, S., Albanus, R. D., Del‐Aguila, J. L., Dai, Y., Novotny, B. C., Soriano‐Tárraga, C., Dykstra, T., Fernández, M. V., Budde, J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-37437-5 · Cited by 104
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Coorens, T. H. H., Oh, J. W., Choi, Y. A., Lim, N. S., Zhao, B., Voshall, A., Abyzov, A. S., Antonacci-Fulton, L. L., Aparicio, S. A. J. R., Ardlie, K., et al. (2025) · Nature · doi:10.1038/s41586-025-09096-7 · Cited by 82
Choudhury, S., Huang, A. Y., Kim, J., Zhou, Z., Morillo, K. S., Maury, E. A., Tsai, J. W., Miller, M. B., Lodato, M. A., Araten, S., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00261-5 · Cited by 76
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Vallés, S. L., Singh, S. K., Campos-Campos, J., Colmena, C., Campo-Palacio, I., Alvarez-Gamez, K., Caballero, Ó., & Jorda, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24098434 · Cited by 83
Effects of intermittent fasting on cognitive health and Alzheimer’s disease
Elias, A., Padinjakara, N., & Lautenschlager, N. T. (2023) · Nutrition Reviews · doi:10.1093/nutrit/nuad021 · Cited by 85
Contrasting somatic mutation patterns in aging human neurons and oligodendrocytes
Ganz, J., Luquette, L. J., Bizzotto, S., Miller, M. B., Zhou, Z., Bohrson, C. L., Jin, H., Tran, A. V., Viswanadham, V., McDonough, G. A., et al. (2024) · Cell · doi:10.1016/j.cell.2024.02.025 · Cited by 77
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Bonaguro, L., Schulte-Schrepping, J., Ulas, T., Aschenbrenner, A. C., Beyer, M., & Schultze, J. L. (2022) · Nature Immunology · doi:10.1038/s41590-022-01309-9 · Cited by 82
Garcia, G., Pinto, S., Ferreira, S., Lopes, D., Serrador, M. J., Fernandes, A., Vaz, A. R., Mendonça, A. D., Edenhofer, F., Malm, T., et al. (2022) · Cells · doi:10.3390/cells11213377 · Cited by 55
“Dementia in AD progresses with neurodegeneration, but the underlying mechanisms of neuronal dysfunction and death remain poorly understood [8].”
BackgroundWang, T., Bai, M., Geng, W., Adeli, M., Ye, L., & Cheng, C. (2025) · Nature Communications · doi:10.1038/s41467-025-56179-0 · Cited by 55
Jhanji, M., Rao, C. N., Massey, J. C., Hope, M. C., Zhou, X., Keene, C. D., Ma, T., Wyatt, M. D., Stewart, J. A., & Sajish, M. (2022) · Nature Communications · doi:10.1038/s41467-022-30785-8 · Cited by 55
Eremina, O. E., Yarenkov, N. R., Bikbaeva, G. I., Kapitanova, O. O., Samodelova, M. V., Shekhovtsova, T. N., Kolesnikov, I. E., Syuy, A. V., Arsenin, A. V., Volkov, V. S., et al. (2023) · Talanta · doi:10.1016/j.talanta.2023.124970 · Cited by 54
Age-related somatic mutation burden in human tissues
Ren, P., Dong, X., & Vijg, J. (2022) · Frontiers in Aging · doi:10.3389/fragi.2022.1018119 · Cited by 58
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Delint‐Ramírez, I., & Madabhushi, R. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.001 · Cited by 57
Single-cell transcriptomic and genomic changes in the ageing human brain
Jeffries, A. M., Yu, T., Ziegenfuss, J. S., Tolles, A. K., Baer, C. E., Sotelo, C. B., Kim, Y., Weng, Z., & Lodato, M. A. (2025) · Nature · doi:10.1038/s41586-025-09435-8 · Cited by 70
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Menon, V., & Brash, D. E. (2023) · Mutation Research - Reviews in Mutation Research · doi:10.1016/j.mrrev.2023.108471 · Cited by 48
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Yu, Z., Coorens, T. H. H., Uddin, M. M., Ardlie, K., Lennon, N. J., & Natarajan, P. (2024) · Nature Reviews Genetics · doi:10.1038/s41576-024-00709-x · Cited by 51
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Saura, C. A., Deprada-Fernandez, Á., Capilla-López, M. D., & Parra‐Damas, A. (2022) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2022.05.007 · Cited by 48
Han, J. J. (2023) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2023.09.007 · Cited by 45
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Pamphlett, R., & Bishop, D. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1173779 · Cited by 44
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Liu, Q., Wang, Z., Cao, J., Dong, Y., & Chen, Y. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232214417 · Cited by 42
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Liu, J., Zhao, F., & Qu, Y. (2024) · Biomolecules · doi:10.3390/biom14091175 · Cited by 37
Roy, N., Haq, I., Ngo, J. C., Bennett, D. A., Teich, A. F., Jager, P. L. D., Olah, M., & Sher, F. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02835-6 · Cited by 38
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Gu, J., Wang, L., Zhao, L., Zuo, Y., Gao, S., Gu, H., Wang, Y., & Yu, Y. (2024) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2024.135456 · Cited by 29
Somatic mutations in aging and disease
Ren, P., Zhang, J., & Vijg, J. (2024) · GeroScience · doi:10.1007/s11357-024-01113-3 · Cited by 30
NOX4-mediated astrocyte ferroptosis in Alzheimer’s disease
Maimaiti, Y., Su, T., Zhang, Z., Ma, L., Zhang, Y. E., & Xu, H. (2024) · Cell & Bioscience · doi:10.1186/s13578-024-01266-w · Cited by 28
Advances in single-cell DNA sequencing enable insights into human somatic mosaicism
Shao, D. D., Kriz, A. J., Snellings, D. A., Zhou, Z., Zhao, Y., Enyenihi, L., & Walsh, C. A. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-025-00832-3 · Cited by 31
An integrative systems-biology approach defines mechanisms of Alzheimer’s disease neurodegeneration
Leventhal, M. J., Zanella, C. A., Kang, B., Peng, J., Gritsch, D., Liao, Z., Bukhari, H., Wang, T., Pao, P., Danquah, S. A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59654-w · Cited by 35
Zhang, X., Fu, M., Wang, Y., & Wu, T. S. (2025) · Frontiers in Drug Delivery · doi:10.3389/fddev.2025.1644633 · Cited by 39
Mitigating age-related somatic mutation burden
Vijg, J., Schumacher, B., Abakir, A., Antonov, M., Bradley, C., Cagan, A., Church, G. M., Gladyshev, V. N., Gorbunova, V. A., Maslov, A. Y., et al. (2023) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2023.04.002 · Cited by 30
Kim, J., Huang, A. Y., Johnson, S. L., Lai, J. F., Isacco, L., Jeffries, A. M., Miller, M. B., Lodato, M. A., Walsh, C. A., & Lee, E. A. (2022) · Nature Communications · doi:10.1038/s41467-022-33642-w · Cited by 25
Somatic mutations in human ageing: New insights from DNA sequencing and inherited mutations
Chatsirisupachai, K., & de Magalhães, J. P. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102268 · Cited by 27
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Ndayisaba, A., Halliday, G. M., & Khurana, V. (2024) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-051122-104528 · Cited by 31
Chen, C., Wang, J., Zhu, X., Zhang, S., Yuan, X., Hu, J., Liu, C., Liu, L., Zhang, Z., & Li, J. (2025) · Metabolism · doi:10.1016/j.metabol.2025.156289 · Cited by 31
Genetic and epigenetic targets of natural dietary compounds as anti-Alzheimer’s agents
Ordoñez, W. O. C., Cajas‐Salazar, N., & Velasco-Reyes, M. A. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.382232 · Cited by 26
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Middelkamp, S., Manders, F., Peci, F., van Roosmalen, M. J., González, D. M., Bertrums, E. J. M., van der Werf, I. M., Derks, L. L. M., Groenen, N. M., Verheul, M., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100389 · Cited by 29
Single-cell and spatial transcriptomics: Bridging current technologies with long-read sequencing
Yuan, C. U., Quah, F. X., & Hemberg, M. (2024) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2024.101255 · Cited by 30
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Guo, X., Hintzsche, H., Xu, W., Ni, J., Xue, J., & Wang, X. (2022) · Mutation Research/Reviews in Mutation Research · doi:10.1016/j.mrrev.2022.108440 · Cited by 25
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Miller, K. E., Rivaldi, A., Shinagawa, N., Sran, S., Navarro, J. B., Westfall, J. J., Miller, A. R., Roberts, R. D., Akkari, Y. M. N., Supinger, R., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01547-z · Cited by 25
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Pfeifer, G. P., & Jin, S. (2024) · Nature Reviews Genetics · doi:10.1038/s41576-024-00748-4 · Cited by 26
Adameyko, I. I., Bakken, T. E., Bhaduri, A., Chhatbar, C., Filbin, M. G., Gate, D., Hochgerner, H., Kim, C. N., Krull, J. E., Manno, G. L., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01827-9 · Cited by 26
Yu, W., Li, Y., Zhong, F., Deng, Z., Wu, J., Yu, W., & Lü, Y. (2024) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-024-01453-w · Cited by 25
DNA repair deficiencies and neurodegeneration
Ropert, B., Gallrein, C., & Schumacher, B. (2024) · DNA repair · doi:10.1016/j.dnarep.2024.103679 · Cited by 21
Ellakwa, D. E., Rashed, L. A., Ali, O. S. M., & El-Sabbagh, N. A. (2025) · Future Science OA · doi:10.1080/20565623.2025.2458434 · Cited by 22
IDH-mutant gliomas arise from glial progenitor cells harboring the initial driver mutation
Park, J. W., Kwak, J., Kim, K. W., Jung, S., Nam, C. H., Kim, H. J., Lee, S. M., Choi, C., Ahn, Y., Park, J., et al. (2026) · Science · doi:10.1126/science.adt0559 · Cited by 23
Predictive network analysis identifies JMJD6 and other potential key drivers in Alzheimer’s disease
Merchant, J. P., Zhu, K., Henrion, M., Zaidi, S. S. A., Lau, B., Moein, S., Alamprese, M. L., Pearse, R. V., Bennett, D. A., Ertekin‐Taner, N., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-04791-5 · Cited by 23
Characterizing off-target effects of genome editors
Rao, X., Zhao, H., Shao, C., & Yi, C. (2023) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2023.100480 · Cited by 19
Chaudhuri, S., Cho, M., Stumpff, J., Bice, P. J., İş, Ö., Ertekin‐Taner, N., Saykin, A. J., & Nho, K. T. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00798-0 · Cited by 20
Somatic Mutations and Alzheimer’s Disease
Downey, J., Lam, J. C. K., Li, V. O. K., & Gozes, I. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220643 · Cited by 18
Somatic mosaicism in the diseased brain
Iourov, I. Y., Vorsanova, S. G., Куринная, О. С., Kutsev, S. I., & Yurov, Y. B. (2022) · Molecular Cytogenetics · doi:10.1186/s13039-022-00624-y · Cited by 18
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Yu, Y., & Martins, L. M. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25126302 · Cited by 18
Huang, A. Y., Zhou, Z., Talukdar, M., Miller, M. B., Chhouk, B., Enyenihi, L., Rosen, I., Stronge, E., Zhao, B., Kim, D., et al. (2024) · doi:10.1101/2024.01.03.574078 · Cited by 16
Large-scale exome analyses reveal new rare variant contributions in amyotrophic lateral sclerosis
Hop, P. J., Kooyman, M., Kenna, B., Zwamborn, R. A. J., van Eijk, K. R., Wang, Y., van Dijk, C. H., Bekema, E., van Rheenen, W., Beele, P., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02535-9 · Cited by 20
The Brain Protein Atlas: A conglomerate of proteomics datasets of human neural tissue
Lam, K. H. B., Faust, K., Yin, R., Fiala, C., & Diamandis, P. (2022) · PROTEOMICS · doi:10.1002/pmic.202200127 · Cited by 15
The human brain through the lens of somatic mosaicism
Bizzotto, S. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1172469 · Cited by 17
Xie, Z., Situ, Y., Deng, L., Liang, M., Ding, H., Guo, Z., Xu, Q., Zhu, L., & Shao, Z. (2025) · Scientific Reports · doi:10.1038/s41598-025-88134-w · Cited by 17
Chatanaka, M. K., Sohaei, D., Diamandis, E. P., & Prassas, I. (2023) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2023.2187342 · Cited by 15
Huang, A. Y., Zhou, Z., Talukdar, M., Enyenihi, L., Miller, M. B., Chhouk, B., Rosen, I., Zheng, M., Zhou, M., Yang, A., et al. (2026) · Cell · doi:10.1016/j.cell.2026.03.040 · Cited by 15
Petrican, R., & Fornito, A. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101229 · Cited by 16
Mapping recurrent mosaic copy number variation in human neurons
Sun, C., Kathuria, K., Emery, S. B., Kim, B.-J., Burbulis, I. E., Shin, J. H., Brain Somatic Mosaicism Network, Gleeson, J. G., Breuss, M. W., Yang, X., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48392-0 · Cited by 21
Tian, J., Jia, K., Wang, T., Guo, L., Xuan, Z., Michaelis, E. K., Swerdlow, R. H., Initiative, A. D. N., & Du, H. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02958-0 · Cited by 17
Paudel, B., Jeong, S., Peña-Martinez, C., Rickman, A. D., Haluck-Kangas, A., Bartom, E. T., Fredriksen, K., Affaneh, A., Kessler, J. A., Mazzulli, J. R., et al. (2024) · Nature Communications · doi:10.1038/s41467-023-44465-8 · Cited by 17
Marks, J. R., Zawistowski, J. S., Salas-González, I., Tate, T. A., Morozova, T. V., Blackinton, J. G., Arvapalli, D. M., Velivela, S. D., Harton, G., Gawad, C., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.29.489440 · Cited by 17
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Li, Z., Min, S., Alliey‐Rodriguez, N., Giase, G. M., Cheng, L., Craig, D. W., Faulkner, G. J., Asif, H., Liu, C., & Gershon, E. S. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.12.002 · Cited by 14
Ranganathan, R., Sapozhnikov, G., Wang, N., Li, S., & Song, Y. (2023) · Translational Medicine of Aging · doi:10.1016/j.tma.2023.06.004 · Cited by 14
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Dong, G., Ma, C. C., Mao, S., Brown, K. S.-M., Naik, S. M., McDonough, G. A., Wijethunga, S. P., Kim, J., Kirkham, S. L., Shao, D. D., et al. (2025) · Science · doi:10.1126/science.adu1351 · Cited by 15
Zhou, Z., Luquette, L. J., Dong, G., Kim, J., Ku, J., Kim, K. M., Ramesh, N., Bae, M., Caplin, A. H., Shao, D. D., et al. (2026) · Cell · doi:10.1016/j.cell.2026.06.013 · Cited by 17
Genomic stress and impaired DNA repair in Alzheimer disease
Neven, J., Issayama, L. K., Dewachter, I., & Wilson, D. M. (2024) · DNA repair · doi:10.1016/j.dnarep.2024.103678 · Cited by 12
Experimental systems for the analysis of mutational signatures: no ‘one-size-fits-all' solution
Ivanov, D., Hwang, T., Sitko, L. K., Lee, S., & Gartner, A. (2023) · Biochemical Society Transactions · doi:10.1042/bst20221482 · Cited by 12
Single-Cell RNA-seq reveals transcriptomic modulation of Alzheimer’s disease by activated protein C
Fatmi, M. K., Wang, H., Slotabec, L. A., Wen, C., Seale, B. C., Zhao, B., & Li, J. (2024) · Aging · doi:10.18632/aging.205624 · Cited by 10
Somatic Mosaicism in Brain Disorders
Corrigan, R. R., Mashburn‐Warren, L., Yoon, H., & Bedrosian, T. A. (2024) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-111523-023528 · Cited by 11
Kalef-Ezra, E., Turan, Z. G., Pérez‐Rodríguez, D., Bomann, I., Behera, S., Morley, C., Scholz, S. W., Jaunmuktane, Z., Demeulemeester, J., Sedlazeck, F. J., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06940-w · Cited by 10
Neuronal somatic mutations are increased in multiple sclerosis lesions
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Functional genomics and systems biology in human neuroscience
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Single-cell transcriptomic and genomic changes in the aging human brainPreprint
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Replication-Independent ICL Repair: From Chemotherapy to Cell Homeostasis
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Brandi, G., Delbaldo, C., Deserti, M., Relli, V., Rimedio, S., Palloni, A., Deiana, C., Saccoccio, G., Ingenito, R., & Tavolari, S. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102802 · Cited by 9
Reid, D. M., Barber, R. C., Jones, H. P., Thorpe, R. J., Sun, J., Zhou, Z., & Phillips, N. (2023) · Scientific Reports · doi:10.1038/s41598-023-41190-6 · Cited by 9
The two faces of DNA oxidation in genomic and functional mosaicism during aging in human neurons
Lodato, M. A., & Ziegenfuss, J. S. (2022) · Frontiers in Aging · doi:10.3389/fragi.2022.991460 · Cited by 9
A Chinese SCA36 pedigree analysis of NOP56 expansion region based on long-read sequencing
Zou, J., Wang, F., Gong, Z., Wang, R., Chen, D., Zhang, H., Sun, R., Gao, C., Li, W., Shang, J., et al. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1110307 · Cited by 9
Zhang, M., Bouland, G. A., Holstege, H. H., & Reinders, M. J. T. (2023) · Neurology Genetics · doi:10.1212/nxg.0000000000200066 · Cited by 11
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Sran, S., Ringland, A., & Bedrosian, T. A. (2024) · Trends in Genetics · doi:10.1016/j.tig.2024.05.008 · Cited by 8
Reverting to old theories of ageing with new evidence for the role of somatic mutations
Franco, I., & Eriksson, M. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00513-5 · Cited by 8
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Öztan, G., & İşsever, H. (2023) · Turkish Journal of Biochemistry · doi:10.1515/tjb-2023-0049 · Cited by 8
Liu, Y. (2024) · Molecular Biology Reports · doi:10.1007/s11033-023-09162-1 · Cited by 8
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Eid, S., Lee, S., Verkuyl, C. E., Almanza, D. L., Hanna, J., Shenouda, S., Belotserkovsky, A., Zhao, W., & Watts, J. C. (2024) · Biochemistry and Cell Biology · doi:10.1139/bcb-2024-0018 · Cited by 8
Zhang, J., Lyu, Y., Yu, X., Zhang, L., Cao, C., Chen, T., Chen, M., Zhuang, Y., Liu, T., & Zhu, D. (2025) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi60581.2025.10980922 · Cited by 9
High-quality nuclei isolation from postmortem human heart muscle tissues for single-cell studies
Araten, S., Mathieu, R., Jetly, A., Shin, H., Hilal, N., Zhang, B., Morillo, K. S., Nandan, D., Sivankutty, I., Chen, M. H., et al. (2023) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2023.03.010 · Cited by 8
Metadata
- Authors
- Miller, M. B., Huang, A. Y., Kim, J., Zhou, Z., Kirkham, S. L., Maury, E. A., Ziegenfuss, J. S., Reed, H. C., Neil, J. E., Rento, L., Ryu, S. C., Ma, C. C., Luquette, L. J., Ames, H. M., Oakley, D. H., Frosch, M. P., Hyman, B. T., Lodato, M. A., Lee, E. A., & Walsh, C. A.
- Affiliations
- Broad Institute (US)
- Boston Children's Hospital (US)
- University of Massachusetts Chan Medical School (US)
- Allegheny College (US)
- Harvard University (US)
- University of Maryland, Baltimore (US)
- Corresponding author
- Lodato, Michael A.
- Lee, Eunjung Alice
- Walsh, Christopher A.
- ORCID
- Venue
- Nature
- Published
- 2022-04-20
- Volume
- 604
- Issue
- 7907
- Pages
- 714-722
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC9357465
- OpenAlex
- W4224234680
- Cited by
- 223
- References
- 84
- Citations by year
- 2026: 41 · 2025: 52 · 2024: 57 · 2023: 53 · 2022: 20
- FWCI
- 28.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (1t15lm007098-01)
- National Institute on Aging (K08AG065502, DP2AG072437, K01AG051791, R00AG054748, R01AG070921, P30AG062421)
- National Heart, Lung, and Blood Institute (T32HL007627)
- National Human Genome Research Institute (T32HG002295)
- National Institute of General Medical Sciences (T32GM007753)
- National Institute of Neurological Disorders and Stroke (R01NS032457)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P50HD105351)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA Repair Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- Alzheimer's disease, somatic mutations, neuronal DNA damage, mutational signatures, nucleotide oxidation, transcription-coupled repair, prefrontal cortex, hippocampus, neurodegeneration, aging, single-cell whole-genome sequencing
- MeSH terms
- Whole Genome Sequencing, Aging, Alzheimer Disease, DNA, Exons, Hippocampus, Humans, Neurons, Nucleotides, Prefrontal Cortex, Genomics, Mutation Rate
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