The DOI matches its Crossref record; 69 of the 70 references it cites were found in a registry or an index.
Multicellular communities are perturbed in the aging human brain and Alzheimer’s disease
Open accessAbstract
The role of different cell types and their interactions in Alzheimer's disease (AD) is a complex and open question. Here, we pursued this question by assembling a high-resolution cellular map of the aging frontal cortex using single-nucleus RNA sequencing of 24 individuals with a range of clinicopathologic characteristics. We used this map to infer the neocortical cellular architecture of 638 individuals profiled by bulk RNA sequencing, providing the sample size necessary for identifying statistically robust associations. We uncovered diverse cell populations associated with AD, including a somatostatin inhibitory neuronal subtype and oligodendroglial states. We further identified a network of multicellular communities, each composed of coordinated subpopulations of neuronal, glial and endothelial cells, and we found that two of these communities are altered in AD. Finally, we used mediation analyses to prioritize cellular changes that might contribute to cognitive decline. Thus, our deconstruction of the aging neocortex provides a roadmap for evaluating the cellular microenvironments underlying AD and dementia.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Several cellular taxonomies for myeloid immune cells in the brain have been proposed using snRNA-seq data from healthy and diseased humans7,12,13. These taxonomies generally agree on three major types of brain myeloid lineage cells: monocytes, central nervous system (CNS)-associated macrophages (CAMs)/perivascular macrophages (PVMs) and a heterogenous group of microglia that has been difficult to”
From Integrated multimodal cell atlas of Alzheimer’s disease (2024) · cites this paper as [12]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Previous studies described AD-associated molecular and cellular changes5–15; however, cross-study comparisons are challenging without common cell annotations.”
From Integrated multimodal cell atlas of Alzheimer’s disease (2024) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“To corroborate the results, we harmonized snRNA-seq data and associated donor metadata from the PFC from ten additional AD studies spanning 707 donors5–14.”
From Integrated multimodal cell atlas of Alzheimer’s disease (2024) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“but our sample sizes are similar to those reported in previous publications5–14”
From Integrated multimodal cell atlas of Alzheimer’s disease (2024) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Inference of Population Structure Using Multilocus Genotype Data
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000) · Genetics · doi:10.1093/genetics/155.2.945 · Cited by 33,871
(2003) · Journal of Machine Learning Research · doi:10.5555/944919.944937 · Cited by 32,337
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
genalex 6: genetic analysis in Excel. Population genetic software for teaching and research
Peakall, R., & Smouse, P. E. (2005) · Molecular Ecology Notes · doi:10.1111/j.1471-8286.2005.01155.x · Cited by 16,596
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174
UMAP: Uniform Manifold Approximation and Projection
McInnes, L., Healy, J., Saul, N., & Großberger, L. (2018) · Journal of Open Source Software · doi:10.21105/joss.00861 · Cited by 9,826
The amyloid hypothesis of Alzheimer's disease at 25 years
Selkoe, D. J., & Hardy, J. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606210 · Cited by 6,164
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
McGinnis, C. S., Murrow, L. M., & Gartner, Z. J. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.003 · Cited by 4,521
Cited by
Sorted by citations
Stroke genetics informs drug discovery and risk prediction across ancestries
Mishra, A., Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D. C., Kamanu, F., Koido, M., Grand, Q. L., Shi, M., et al. (2022) · Nature · doi:10.1038/s41586-022-05165-3 · Cited by 623
Self-citationNeuroinflammation in Alzheimer disease
Heneka, M. T., van der Flier, W. M., Jessen, F., Hoozemanns, J., Thal, D. R., Boche, D., Brosseron, F., Teunissen, C., Zetterberg, H., Jacobs, A. H., et al. (2025) · Nature Reviews Immunology · doi:10.1038/s41577-024-01104-7 · Cited by 638
Mathys, H., Peng, Z., Boix, C. A., Victor, M. B., Leary, N., Babu, S., Abdelhady, G., Jiang, X., Ng, A. P., Ghafari, K., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.039 · Cited by 495
Self-citationIntegrated multimodal cell atlas of Alzheimer’s disease
Gabitto, M. I., Travaglini, K. J., Rachleff, V. M., Kaplan, E. S., Long, B., Ariza, J., Ding, Y., Mahoney, J. T., Dee, N., Goldy, J., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01774-5 · Cited by 397
“Several cellular taxonomies for myeloid immune cells in the brain have been proposed using snRNA-seq data from healthy and diseased humans 7,12,13 .”
Bryois, J., Calini, D., Macnair, W., Foo, L., Urich, E., Ortmann, W., Iglesias, V. A., Selvaraj, S., Nutma, E., Marzin, M., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01128-z · Cited by 311
Self-citationZeng, H., Huang, J., Zhou, H., Meilandt, W. J., Dejanovic, B., Zhou, Y., Bohlen, C. J., Lee, S.-H., Ren, J., Liu, A., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01251-x · Cited by 233
Disease-associated oligodendrocyte responses across neurodegenerative diseases
Pandey, S., Shen, K., Lee, S.-H., Shen, Y.-A. A., Wang, Y., Otero-García, M., Kotova, N., Vito, S. T., Laufer, B. I., Newton, D. F., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111189 · Cited by 227
Cellular communities reveal trajectories of brain ageing and Alzheimer’s disease
Green, G. S., Fujita, M., Yang, H.-S., Taga, M., Cain, A., McCabe, C., Comandante-Lou, N., White, C. C., Schmidtner, A. K., Zeng, L., et al. (2024) · Nature · doi:10.1038/s41586-024-07871-6 · Cited by 204
Self-citationCell subtype-specific effects of genetic variation in the Alzheimer’s disease brain
Fujita, M., Gao, Z., Zeng, L., Aubin, C., White, C. C., Ng, B., Green, G. S., Rozenblatt–Rosen, O., Phillips, D., Amir-Zilberstein, L., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01685-y · Cited by 196
Self-citationMolecular and cellular mechanisms of selective vulnerability in neurodegenerative diseases
Kampmann, M. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00806-0 · Cited by 142
An exhausted-like microglial population accumulates in aged and APOE4 genotype Alzheimer’s brains
Millet, A., Ledo, J. H., & Tavazoie, S. F. (2024) · Immunity · doi:10.1016/j.immuni.2023.12.001 · Cited by 132
Wang, M., Song, W., Chen, M., Wang, Q., Zhou, X., Xu, P., Krek, A., Yoon, Y., Ho, L., Orr, M. E., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00517-z · Cited by 104
INPP5D regulates inflammasome activation in human microglia
Chou, V., Pearse, R. V., Aylward, A. J., Ashour, N., Taga, M., Terzioglu, G., Fujita, M., Fancher, S. B., Sigalov, A., Benoit, C. R., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42819-w · Cited by 79
Self-citationde Vries, L. E., Huitinga, I., Kessels, H. W. H. G., Swaab, D. F., & Verhaagen, J. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00719-7 · Cited by 85
Neuroimmune contributions to Alzheimer’s disease: a focus on human data
Haage, V., & De Jager, P. L. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01637-0 · Cited by 74
Cell-type-specific effects of age and sex on human cortical neurons
Chien, J.-F., Liu, H., Wang, B.-A., Luo, C., Bartlett, A., Castanon, R., Johnson, N. D., Nery, J. R., Osteen, J. K., Li, J., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.05.013 · Cited by 72
Tuddenham, J. F., Taga, M. F., Haage, V. C., Marshe, V. S., Roostaei, T., White, C. C., Lee, A., Fujita, M., Khairallah, A., Zhang, Y., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01764-7 · Cited by 79
Self-citationCell type-specific changes identified by single-cell transcriptomics in Alzheimer’s disease
Luquez, T., Gaur, P., Kosater, I. M., Lam, M., Lee, D. I., Mares, J. A., Paryani, F., Yadav, A., & Menon, V. (2022) · Genome Medicine · doi:10.1186/s13073-022-01136-5 · Cited by 64
Self-citationGreen, G. S., Yang, H., Fujita, M., Taga, M., Regev, A., Menon, V., Bennett, D. A. A., Habib, N., & De Jager, P. L. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.083212 · Cited by 51
Self-citationKahn, O. I., Domínguez, S. L., Glock, C., Hayne, M. R., Vito, S., Ghosh, A. S., Adrian, M., Burgess, B. L., Meilandt, W. J., Friedman, B. A., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115382 · Cited by 50
Consens, M. E., Chen, Y., Menon, V., Wang, Y., Schneider, J. A., De Jager, P. L., Bennett, D. A., Tripathy, S. J., & Felsky, D. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.903175 · Cited by 44
Self-citationYang, H., Teng, L., Kang, D., Menon, V., Ge, T., Finucane, H. K., Schultz, A. P., Properzi, M. J., Klein, H., Chibnik, L. B., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43132-2 · Cited by 56
Self-citationCross-disorder and disease-specific pathways in dementia revealed by single-cell genomics
Rexach, J. E., Cheng, Y., Chen, L., Polioudakis, D., Lin, L., Mitri, V., Elkins, A., Han, X., Yamakawa, M., Yin, A., et al. (2024) · Cell · doi:10.1016/j.cell.2024.08.019 · Cited by 59
Lee, A., Raghavan, N. S., Bhattarai, P., Siddiqui, T., Sariya, S., Reyes‐Dumeyer, D., Flowers, X. E., Cardoso, S. A. L., Jager, P. L. D., Bennett, D. A., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02431-6 · Cited by 49
Self-citationMorrone, C. D., Lai, A. Y., Bishay, J., Hill, M. E., & McLaurin, J. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00300-6 · Cited by 43
Psychosocial experiences are associated with human brain mitochondrial biology
Trumpff, C., Monzel, A. S., Sandi, C., Menon, V., Klein, H., Fujita, M., Lee, A., Petyuk, V., Hurst, C. D., Duong, D. M., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2317673121 · Cited by 46
Self-citationSeto, M., Dumitrescu, L. C., Mahoney, E. R., Sclafani, A. M., Jager, P. L. D., Menon, V., Koran, M. E. I., Robinson, R. A. S., Ruderfer, D. M., Cox, N. J., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.01.010 · Cited by 40
Self-citationBonev, B., Castelo‐Branco, G., Chen, F., Codeluppi, S., Corces, M. R., Fan, J., Heiman, M., Harris, K., Inoue, F., Kellis, M., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01806-0 · Cited by 44
Self-citationArnsten, A. F. T., Tredici, K. D., Barthélemy, N. R., Gabitto, M. I., van Dyck, C. H., Lein, E. S., Braak, H., & Datta, D. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70404 · Cited by 39
Repeated head trauma causes neuron loss and inflammation in young athletes
Butler, M. L. M. D., Pervaiz, N., Breen, K., Calderazzo, S. M., Ypsilantis, P., Wang, Y., Breda, J. C., Mazzilli, S. A., Nicks, R., Spurlock, E., et al. (2025) · Nature · doi:10.1038/s41586-025-09534-6 · Cited by 57
Joodaki, M., Shaigan, M., Parra, V., Bülow, R. D., Kuppe, C., Hölscher, D. L., Cheng, M., Nagai, J. S., Goedertier, M., Bouteldja, N., et al. (2023) · Molecular Systems Biology · doi:10.1038/s44320-023-00003-8 · Cited by 40
Large-scale neurophysiology and single-cell profiling in human neuroscience
Lee, A. T., Chang, E. F., Paredes, M. F., & Nowakowski, T. J. (2024) · Nature · doi:10.1038/s41586-024-07405-0 · Cited by 35
Fiorini, M. R., Dilliott, A. A., Thomas, R. A., & Farhan, S. M. K. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04124-5 · Cited by 35
Shoob, S., Buchbinder, N., Shinikamin, O., Gold, O., Baeloha, H., Langberg, T., Zarhin, D., Shapira, I., Braun, G., Habib, N., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42721-5 · Cited by 33
Self-citationBrain aging and rejuvenation at single-cell resolution
Sun, E., Nagvekar, R., Pogson, A. N., & Brunet, A. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.007 · Cited by 35
Zeng, L., Fujita, M., Gao, Z., White, C. C., Green, G. S., Habib, N., Menon, V., Bennett, D. A., Boyle, P. A., Klein, H., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.12.012 · Cited by 31
Self-citationde Vries, L. E., Jongejan, A., Fortes, J. M., Balesar, R. A., Rozemüller, A. J. M., Moerland, P. D., Huitinga, I., Swaab, D. F., & Verhaagen, J. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01760-9 · Cited by 29
Genetic Insights of Schizophrenia via Single Cell RNA-Sequencing Analyses
Wu, Y., Zhang, C., Wang, L., Li, Y., & Xiao, X. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad002 · Cited by 28
Cell-subtype specific effects of genetic variation in the aging and Alzheimer cortex
Fujita, M., Gao, Z., Zeng, L., McCabe, C., White, C. C., Ng, B., Green, G. S., Rozenblatt-Rosen, O., Phillips, D., Amir-Zilberstein, L., et al. (2022) · doi:10.1101/2022.11.07.515446 · Cited by 36
Self-citationWu, R., Tripathy, S. J., Menon, V., Yu, L., Buchman, A. S., Bennett, D. A., Jager, P. L. D., & Lim, A. S. P. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12817 · Cited by 31
Self-citationAstrocyte diversity and subtypes: aligning transcriptomics with multimodal perspectives
Hennes, M., Richter, M. L., Fischer-Sternjak, J., & Götz, M. (2025) · EMBO Reports · doi:10.1038/s44319-025-00529-y · Cited by 35
Khan, A. F., & Iturria‐Medina, Y. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03073-w · Cited by 31
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
Self-citationJang, J., Yeo, S., Baek, S., Jung, H. J., Lee, M. S., Choi, S. H., & Choe, Y. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01637-3 · Cited by 20
“Studies have shown that RORB-expressing excitatory neurons in the EC [45] and the frontal cortex [56], as well as SST-positive interneurons in the frontal cortex [8], are more prone to neuronal susceptibility than other parts of the brain.”
BackgroundThe Hidden Role of Non-Canonical Amyloid β Isoforms in Alzheimer’s Disease
Busch, L., Eggert, S., Endres, K., & Bufe, B. (2022) · Cells · doi:10.3390/cells11213421 · Cited by 20
Tuddenham, J. F., Taga, M. F., Haage, V. C., Roostaei, T., White, C. C., Lee, A., Fujita, M., Khairallah, A., Green, G., Hyman, B. T., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.04.494709 · Cited by 20
Self-citationMolecular signatures of resilience to Alzheimer’s disease in neocortical layer 4 neurons
Dharshini, S. A. P., Sanz‐Ros, J., Pan, J., Tang, W., Vallejo, K., Liu, Y. C., Otero‐García, M., & Cobos, I. (2026) · Nature Communications · doi:10.1038/s41467-026-68920-4 · Cited by 23
Microglia networks within the tapestry of alzheimer’s disease through spatial transcriptomics
Zhou, Y. F., & Glass, C. K. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00897-y · Cited by 21
Huang, W., Bartosch, A. M. W., Xiao, H., Maji, S., Youth, E. H. H., Flowers, X. E., Leskinen, S., Tomljanovic, Z., Iodice, G. M., Boyett, D. M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25902-y · Cited by 17
Self-citationLucero, E., Freund, R. K., Smith, A. N., Johnson, N. R., Dooling, B. R., Sullivan, E. J., Prikhodko, O., Ahmed, M. M., Bennett, D. A., Hohman, T. J., et al. (2022) · iScience · doi:10.1016/j.isci.2022.105288 · Cited by 14
Self-citationChen, Y., Hunter, E., Arbabi, K., Guet-McCreight, A., Consens, M. E., Felsky, D., Sibille, E. L., & Tripathy, S. J. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.01.013 · Cited by 16
Molecular hallmarks of excitatory and inhibitory neuronal resilience to Alzheimer’s disease
Castanho, I., Yeganeh, P. N., Boix, C. A., Morgan, S. L., Mathys, H., Prokopenko, D., White, B., Soto, L. M., Pegoraro, G., Shah, S. A., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00892-3 · Cited by 22
Self-citationDetecting the effect of genetic diversity on brain composition in an Alzheimer’s disease mouse model
Gurdon, B., Yates, S. C., Csucs, G., Groeneboom, N. E., Hadad, N., Telpoukhovskaia, M., Ouellette, A., Ouellette, T., O’Connell, K. M. S., Singh, S., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06242-1 · Cited by 15
Refining the interactions between microglia and astrocytes in Alzheimer’s disease pathology
Chen, J., Xu, S., Wang, L., Liu, X., Liu, G., Tan, Q., Li, W., Zhang, S., & Du, Y. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.03.033 · Cited by 17
Wu, Y., Libby, J. B., Dumitrescu, L. C., Jager, P. L. D., Menon, V., Schneider, J. A., Bennett, D. A., & Hohman, T. J. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14419 · Cited by 15
Self-citationTelpoukhovskaia, M. A., Hadad, N., Gurdon, B., Dai, Y., Ouellette, A. R., Neuner, S. M., Dunn, A. R., Willcox, J. A. L., Wu, Y., Dumitrescu, L. C., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.12.487877 · Cited by 13
Self-citationComandante-Lou, N., Lama, T. D., Heuer, S. E., Chen, K. W., Kim, J., Zhang, J., Hu, B., Liu, S., Dey, S., Brennand, K., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.24.639868 · Cited by 16
Self-citationSun, Y., Liu, S., Chen, L., Zhou, Z., Yin, X., Shi, Y., Li, H., Li, J., Lü, Y., Jiang, W., et al. (2025) · Science Advances · doi:10.1126/sciadv.adz9283 · Cited by 15
The broken Alzheimer’s disease genome
Roque, C. G., Phatnani, H. P., & Hengst, U. (2024) · Cell Genomics · doi:10.1016/j.xgen.2024.100555 · Cited by 13
Lu, A., Chen, W.-T., Dalby, M., García, D. S., Vanheusden, M., de Vries, L. E., van Lieshout, V., Martirosyan, A., Craessaerts, K., Moonen, S., et al. (2026) · Nature Medicine · doi:10.1038/s41591-026-04393-8 · Cited by 22
Qu, W., Lam, M., McInvale, J. J., Mares, J. A., Kwon, S. H., Humala, N., Mahajan, A., Nguyen, T. T. T., Jakubiak, K. A., Mun, J.-Y., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02755-5 · Cited by 13
Self-citationCognitive resilience to Alzheimer's disease characterized by cell‐type abundance
O’Neill, N. K., Stein, T. D., Olayinka, O. A., Empawi, J. A., Hu, J., Tong, T., Zhang, X., & Farrer, L. A. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14187 · Cited by 15
Cortical glia in SOD1(G93A) mice are subtly affected by ALS-like pathology
Filipi, T., Matusova, Z., Abaffy, P., Vaňátko, O., Turečková, J., Benesova, S., Kubiskova, M., Kirdajová, D., Zahumenský, J., Valihrach, L., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-33608-y · Cited by 11
Gaur, P., Bryois, J., Calini, D., Foo, L. C., Hoozemans, J. J. M., Yadav, A., Malhotra, D., & Menon, V. (2025) · Nature Communications · doi:10.1038/s41467-025-65350-6 · Cited by 14
Self-citationCHRNA5 links chandelier cells to severity of amyloid pathology in aging and Alzheimer’s disease
Rybnicek, J., Chen, Y., Milic, M. S., Tio, E. S., McLaurin, J., Hohman, T. J., Jager, P. L. D., Schneider, J. A., Wang, Y., Bennett, D. A., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02785-3 · Cited by 11
Self-citationAdewale, Q., Khan, A. F., Bennett, D. A., & Iturria‐Medina, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-57918-x · Cited by 9
Self-citationAn integrated toolkit for human microglia functional genomics
Haq, I., Ngo, J. C., Roy, N., Pan, R., Nawsheen, N., Chiu, R., Zhang, Y., Fujita, M., Soni, R. K., Wu, X., et al. (2024) · Stem Cell Research & Therapy · doi:10.1186/s13287-024-03700-9 · Cited by 10
Self-citationCommon alterations to astrocytes across neurodegenerative disorders
Derevyanko, A., Tao, T., & Allen, N. J. (2025) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2025.102970 · Cited by 10
Kerrebijn, I., Wainberg, M., Zhukovsky, P., Chen, Y., Davie, M., Felsky, D., & Tripathy, S. J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120177 · Cited by 7
Rolli, S., Langridge, C. A., & Sontag, E. M. (2024) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2024.1427542 · Cited by 10
Miao, Z., Tian, T., Chen, W., Wang, Q., Ma, L., Zhang, D., Xie, M., Yu, Z., Guo, X., Bai, G., et al. (2024) · The Innovation Life · doi:10.59717/j.xinn-life.2024.100097 · Cited by 9
Hong, X., Chen, T., Liu, Y., Li, J., Huang, D., Ye, K., Liao, W., Wang, Y., Liu, M., & Luan, P. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102669 · Cited by 9
INPP5D/SHIP1 regulates inflammasome activation in human microglia
Chou, V., Fancher, S. B., Pearse, R. V., Lee, H., Lam, M., Seyfried, N. T., Bennett, D. A., De Jager, P. L., Menon, V., & Young-Pearse, T. L. (2023) · doi:10.1101/2023.02.25.530025 · Cited by 8
Self-citationRepetitive head impacts induce neuronal loss and neuroinflammation in young athletesPreprint
Butler, M. L. M. D., Pervaiz, N., Breen, K., Calderazzo, S. M., Ypsilantis, P., Wang, Y., Breda, J. C., Mazzilli, S. A., Nicks, R., Spurlock, E., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.26.586815 · Cited by 8
Lam, M., Lee, D. I., Kosater, I. M., Khairallah, A., Taga, M. F., Zhang, Y., Fujita, M., Nag, S., Bennett, D. A., Jager, P. L. D., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.20.572491 · Cited by 8
Self-citationA lifespan transcriptomic atlas of the human prefrontal cortex at single-cell resolutionPreprint
Yang, H., Clarence, T., Scott, M. R., Wang, X., Prashant, N. M., Pjanic, M., Venkatesh, S., Hong, A., Casey, C., Murphy, S. R., et al. (2024) · medRxiv · doi:10.1101/2024.11.06.24316592 · Cited by 7
Self-citationFilomena, E., Picardi, E., Tullo, A., Pesole, G., & D’Erchia, A. M. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1437278 · Cited by 6
Irastorza-Valera, L., Gómez, E. S., Benítez, J. M., Montáns, F. J., & Saucedo‐Mora, L. (2024) · Biomimetics · doi:10.3390/biomimetics9060362 · Cited by 7
Salas, I. H., Paumier, A., Tao, T., Derevyanko, A., Switzler, C., Burgado, J., Movsesian, M., Metanat, S., Dawoodtabar, T., Asbell, Q. N., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.30.621182 · Cited by 6
Single‐cell landscape of sex‐specific drivers of Alzheimer's disease
Wu, Y., Travaglini, K. J., Gabitto, M. I., Keene, C. D., Dunn, A. R., Kaczorowski, C. C., Jager, P. L. D., Menon, V., Schneider, J. A., Bennett, D. A. A., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.71041 · Cited by 9
Self-citationAdvances in Alzheimer’s disease: mechanistic insights and therapeutic targets
Jia, Y.-J., Ge, Y., Li, B., Yang, Y., Chen, H., Liu, J., Guo, J., Yu, J., Ye, K., Wang, J., et al. (2026) · Science China Life Sciences · doi:10.1007/s11427-025-2991-7 · Cited by 6
Sharon, M., Gruber, G., Argov, C. M., Volozhinsky, M., & Yeger‐Lotem, E. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad421 · Cited by 5
Self-citationInter-individual variation in human cortical cell type abundance and expressionPreprint
Johansen, N., Somasundaram, S., Travaglini, K. J., Yanny, A. M., Shumyatcher, M., Casper, T., Cobbs, C., Dee, N., Ellenbogen, R. G., Ferreira, M. L., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.07.511366 · Cited by 5
Sex effects on gene expression across the human cerebral cortex at single cell resolutionPreprint
DeCasien, A. R., Auluck, P. K., Liu, S., Marenco, S., Cookson, M., & Raznahan, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.30.661781 · Cited by 5
Functional border-associated macrophages limit Alzheimer’s Disease progressionPreprint
Adler, D. I., Pinheiro-Rosa, N., Millet, A., Gajic, Z. Z., Cheng, E., Gamallo‐Lana, B., Morizawa, Y. M., Klann, E., Gan, W., Mar, A. C., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.31.703045 · Cited by 8
Cell-type signatures of Alzheimer’s disease shared across population groups
Luquez, T., Algoo, J., Chiu, R., Mares, J. A., Yadav, A., Lam, M., Gaur, P., Lai, X., Lee, D. I., Paryani, F., et al. (2026) · Nature · doi:10.1038/s41586-026-10793-0 · Cited by 11
Self-citationCell type census in cerebral cortex reveals species-specific brain function and connectivity
Onishi, K., & Shimogori, T. (2024) · Neuroscience Research · doi:10.1016/j.neures.2024.11.008 · Cited by 4
Cytokine expression profile in the human brain of older adults
Godoy, J. B., Vialle, R. A., dos Santos, L., Raittz, R. T., Wang, Y., Menon, V., Jager, P. L. D., Schneider, J. A., Tasaki, S., Bennett, D. A., et al. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03552-x · Cited by 4
Self-citationCastanho, I., Yeganeh, P. N., Boix, C. A., Morgan, S. L., Mathys, H., Prokopenko, D., White, B., Soto, L. M., Pegoraro, G., Shah, S. A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.13.632801 · Cited by 4
Self-citationKumar, A., Binette, A. P., Bali, D., Janelidze, S., Stomrud, E., Palmqvist, S., Vogel, J. W., Hansson, O., & Mattsson, N. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf353 · Cited by 3
Ganglioside sialylation modulates tau internalization and pathology spread
Li, S., Chen, Y., Song, T., Liu, D., Wu, R., Yang, X., Wu, Q., Lei, L., Yu, X., Zhang, J., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03394-2 · Cited by 3
Liu, Q., Parrish, R. L., Tang, S., Tasaki, S., Bennett, D. A. A., Seyfried, N. T., Jager, P. L. D., Menon, V., Buchman, A. S., & Yang, J. (2026) · Communications Biology · doi:10.1038/s42003-026-10030-4 · Cited by 4
Self-citationLifespan single-cell transcriptomic atlas of the human prefrontal cortex
Yang, H., Clarence, T., Scott, M. R., Wang, X., Prashant, N. M., Pjanic, M., Venkatesh, S., Hong, A., Casey, C., Murphy, S. E., et al. (2026) · Nature · doi:10.1038/s41586-026-10271-7 · Cited by 13
Self-citationHudgins, A. D., Zhou, S., Arey, R. N., Rosenfeld, M. G., Murphy, C. T., & Suh, Y. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.009 · Cited by 4
Single cell biology—a Keystone Symposia report
Cable, J., Elowitz, M. B., Domingos, A. I., Habib, N., Itzkovitz, S., Hamidzada, H., Balzer, M. S., Yanai, I., Liberali, P., Whited, J. L., et al. (2021) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14692 · Cited by 4
Self-citationWasielewska, J. M., Bajracharya, R., Johnston, R. L., Chaves, J. C. S., Pébay, A., Oikari, L. E., Götz, J., Nisbet, R. M., & White, A. R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.24.563706 · Cited by 2
Cell type-specific associations with Alzheimer’s Disease conserved across racial and ethnic groupsPreprint
Luquez, T., Algoo, J., Chiu, R., Mares, J. A., Yadav, A., Lam, M., Gaur, P., Lai, X., Lee, D. I., Paryani, F., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.14.648597 · Cited by 3
Self-citationEarly neuronal reprogramming and cell cycle reentry shape Alzheimer’s disease progression
Meir, R., Schwartz, G., Adam, M., Lapidot, A. A., Cain, A., Green, G. S., Menon, V., Bennett, D. A., De Jager, P. L., & Habib, N. (2025) · doi:10.1101/2025.06.04.653670 · Cited by 3
Self-citationMulti-omic derived cell-type specific Alzheimer disease polygenic risk scores
O’Neill, N. K., Kurniansyah, N., Zhu, C., Olayinka, O. A., Mayeux, R. P., Haines, J. L., Pericak‐Vance, M. A., Wang, L.-S., Schellenberg, G. D., Farrer, L. A., et al. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.07.009 · Cited by 2
scTWAS: a powerful statistical framework for single-cell transcriptome-wide association studies
Lin, Z., & Su, C. (2026) · Nature Communications · doi:10.1038/s41467-026-70374-7 · Cited by 4
Metadata
- Authors
- Cain, A., Taga, M., McCabe, C., Green, G. S., Hekselman, I., White, C. C., Lee, D. I., Gaur, P., Rozenblatt-Rosen, O., Zhang, F., Yeger-Lotem, E., Bennett, D. A., Yang, H.-S., Regev, A., Menon, V., Habib, N., & De Jager, P. L.
- Affiliations
- Hebrew University of Jerusalem (IL)
- Columbia University Irving Medical Center (US)
- Ben-Gurion University of the Negev (IL)
- Broad Institute (US)
- Rush University Medical Center (US)
- Corresponding author
- Menon, Vilas
- Habib, Naomi
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2023-06-19
- Volume
- 26
- Issue
- 7
- Pages
- 1267-1280
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC10789499
- OpenAlex
- W4381189833
- Cited by
- 142
- References
- 70
- Citations by year
- 2026: 34 · 2025: 33 · 2024: 36 · 2023: 20
- FWCI
- 10.96
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature Neuroscience (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- Rush University
- Chan Zuckerberg Initiative
- Israel Science Foundation (1709/19)
- Klarman Cell Observatory, Broad Institute
- National Institute on Aging (R01AG017917, P30 AG72975, P30-AG 10161, R01‐AG17917, R01 AG15819, U01AG046152, R01AG015819, P30AG010161, U01AG061356, R21AG075754, R01AG066831, RF1AG057473, RF1AG036042, U54AG076040, P30AG072975)
- H2020 European Research Council (853409)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, brain aging, frontal cortex, somatostatin interneurons, oligodendrocytes, endothelial cells, glial cells, cognitive decline, dementia, single-nucleus RNA sequencing, cell-cell interactions
- MeSH terms
- Aging, Alzheimer Disease, Brain, Humans, Neocortex, Endothelial Cells, Cognitive Dysfunction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
