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.
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
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?
Several cellular taxonomies for myeloid immune cells in the brain have been proposed using snRNA-seq data from healthy and diseased humans, and these taxonomies generally agree on three major types: monocytes, CNS-associated macrophages/PVMs, and a heterogeneous group of microglia.
“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]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredPrevious studies described AD-associated molecular and cellular changes; however, cross-study comparisons are challenging without common cell annotations.
“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 study harmonized snRNA-seq data and associated donor metadata from the PFC from ten additional AD studies spanning 707 donors.
“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]
Our sample sizes are similar to those reported in previous publications.
“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.
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 · see citing works
(2003) · Journal of Machine Learning Research · doi:10.5555/944919.944937 · Cited by 32,337 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
McGinnis, C. S., Murrow, L. M., & Gartner, Z. J. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.003 · Cited by 4,521 · see citing works
mediation : R Package for Causal Mediation Analysis
Tingley, D. H., Yamamoto, T., Hirose, K., Keele, L. J., & Imai, K. (2014) · Journal of Statistical Software · doi:10.18637/jss.v059.i05 · Cited by 4,216 · see citing works
Equivalence of the Mediation, Confounding and Suppression Effect
MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000) · Prevention Science · doi:10.1023/a:1026595011371 · Cited by 4,188 · see citing works
Efremova, M., Vento-Tormo, M., Teichmann, S. A., & Vento-Tormo, R. (2020) · Nature Protocols · doi:10.1038/s41596-020-0292-x · Cited by 3,449 · see citing works
Single-cell transcriptomic analysis of Alzheimer’s disease
Mathys, H., Davila-Velderrain, J., Peng, Z., Gao, F., Mohammadi, S., Young, J. Z., Menon, M., He, L., Abdurrob, F., Jiang, X., et al. (2019) · Nature · doi:10.1038/s41586-019-1195-2 · Cited by 2,568 · see citing works
Self-citationMixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992 · see citing works
Self-citationConserved cell types with divergent features in human versus mouse cortex
Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature · doi:10.1038/s41586-019-1506-7 · Cited by 1,775 · see citing works
HYMAN, B. T., & TROJANOWSKI, J. Q. (1997) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199710000-00002 · Cited by 1,542 · see citing works
Neuropathology of older persons without cognitive impairment from two community-based studies
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., Kelly, J. F., Aggarwal, N. T., Shah, R. C., & Wilson, R. S. (2006) · Neurology · doi:10.1212/01.wnl.0000219668.47116.e6 · Cited by 1,336 · see citing works
Self-citationReligious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Buchman, A. S., Boyle, P. A., Barnes, L. L., Wilson, R. S., & Schneider, J. A. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-179939 · Cited by 1,260 · see citing works
Self-citationZhou, Y., Song, W. M., Andhey, P. S., Swain, A., Levy, T., Miller, K. R., Poliani, P. L., Cominelli, M., Grover, S., Gilfillan, S., et al. (2020) · Nature Medicine · doi:10.1038/s41591-019-0695-9 · Cited by 1,150 · see citing works
Self-citationMassively parallel single-nucleus RNA-seq with DroNc-seq
Habib, N., Avraham-Davidi, I., Basu, A., Burks, T., Shekhar, K., Hofree, M., Choudhury, S. R., Aguet, F., Gelfand, E., Ardlie, K., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4407 · Cited by 1,069 · see citing works
Self-citationNatural history of mild cognitive impairment in older persons
Bennett, D. A., Wilson, R. S., Schneider, J. A., Evans, D. A., Beckett, L. A., Aggarwal, N. T., Barnes, L. L., Fox, J. H., & Bach, J. (2002) · Neurology · doi:10.1212/wnl.59.2.198 · Cited by 1,037 · see citing works
Self-citationLancichinetti, A., & Fortunato, S. (2009) · Physical Review E · doi:10.1103/physreve.80.016118 · Cited by 1,014 · see citing works
Disease-associated astrocytes in Alzheimer’s disease and aging
Habib, N., McCabe, C., Medina, S., Varshavsky, M., Kitsberg, D., Dvir-Szternfeld, R., Green, G., Dionne, D., Nguyen, L., Marshall, J. L., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0624-8 · Cited by 1,009 · see citing works
Self-citationJohnson, E. C. B., Dammer, E. B., Duong, D. M., Ping, L., Zhou, M., Yin, L., Higginbotham, L. A., Guajardo, A., White, B., Troncoso, J. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0815-6 · Cited by 1,001 · see citing works
Self-citationConsensus Recommendations for the Postmortem Diagnosis of Alzheimer’s Disease
(1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00057-2 · Cited by 981 · see citing works
Grubman, A., Chew, G., Ouyang, J. F., Sun, G., Choo, X. Y., McLean, C., Simmons, R. K., Buckberry, S., Vargas-Landin, D. B., Poppe, D., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0539-4 · Cited by 956 · see citing works
A draft network of ligand–receptor-mediated multicellular signalling in human
Ramilowski, J. A., Goldberg, T., Harshbarger, J., Kloppmann, E., Lizio, M., Satagopam, V. P., Itoh, M., Kawaji, H., Carninci, P., Rost, B., et al. (2015) · Nature Communications · doi:10.1038/ncomms8866 · Cited by 887 · see citing works
Association of Amyloid and Tau With Cognition in Preclinical Alzheimer Disease: A Longitudinal Study
Hanseeuw, B. J., Betensky, R. A., Jacobs, H. I. L., Schultz, A. P., Sepulcre, J., Becker, J. A., Cosio, D. M. O., Farrell, M., Quiroz, Y. T., Mormino, E. C., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1424 · Cited by 865 · see citing works
Individual differences in rates of change in cognitive abilities of older persons.
Wilson, R. S., Beckett, L. A., Barnes, L. L., Schneider, J. A., Bach, J., Evans, D. A., & Bennett, D. A. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.2.179 · Cited by 842 · see citing works
Self-citationOverview and Findings from the Rush Memory and Aging Project
Bennett, D. A., Schneider, J. A., Buchman, A. S., Barnes, L. L., Boyle, P. A., & Wilson, R. S. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322663 · Cited by 837 · see citing works
Self-citationA human brain vascular atlas reveals diverse mediators of Alzheimer’s risk
Yang, A. C., Vest, R. T., Kern, F., Lee, D. P., Agam, M., Maat, C. A., Losada, P. M., Chen, M. B., Schaum, N., Khoury, N., et al. (2022) · Nature · doi:10.1038/s41586-021-04369-3 · Cited by 797 · see citing works
Self-citationSingle cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer’s disease
Olah, M., Menon, V., Habib, N., Taga, M. F., Ma, Y., Yung, C. J., Cimpean, M., Khairallah, A., Coronas-Samano, G., Sankowski, R., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19737-2 · Cited by 722 · see citing works
Self-citationOverview and Findings from the Religious Orders Study
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., & Wilson, R. S. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322573 · Cited by 647 · see citing works
Self-citationSingle-nucleus and single-cell transcriptomes compared in matched cortical cell types
Bakken, T. E., Hodge, R. D., Miller, J. A., Yao, Z., Nguyen, T. N., Aevermann, B., Barkan, E., Bertagnolli, D., Casper, T., Dee, N., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0209648 · Cited by 608 · see citing works
A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research
De Jager, P. L., Ma, Y., McCabe, C., Xu, J., Vardarajan, B. N., Felsky, D., Klein, H.-U., White, C. C., Peters, M. A., Lodgson, B., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.142 · Cited by 598 · see citing works
Self-citationMicroglia-Astrocyte Crosstalk: An Intimate Molecular Conversation
Jha, M. K., Jo, M., Kim, J.-H., & Suk, K. (2019) · The Neuroscientist · doi:10.1177/1073858418783959 · Cited by 579 · see citing works
Mostafavi, S., Gaiteri, C., Sullivan, S. E., White, C. C., Tasaki, S., Xu, J., Taga, M., Klein, H.-U., Patrick, E., Komashko, V., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0154-9 · Cited by 509 · see citing works
Self-citationGene‐specific correlation of RNA and protein levels in human cells and tissues
Edfors, F., Danielsson, F., Hallström, B. M., Käll, L., Lundberg, E., Pontén, F., Forsström, B., & Uhlén, M. (2016) · Molecular Systems Biology · doi:10.15252/msb.20167144 · Cited by 493 · see citing works
Molecular characterization of selectively vulnerable neurons in Alzheimer’s disease
Leng, K., Li, E., Eser, R., Piergies, A., Sit, R., Tan, M., Neff, N., Li, S. H., Rodriguez, R. D., Suemoto, C. K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00764-7 · Cited by 485 · see citing works
Astrocytes and microglia: In sickness and in health
Vainchtein, I. D., & Molofsky, A. V. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.01.003 · Cited by 450 · see citing works
Bennett, D. A., Schneider, J. A., Aggarwal, N. T., Arvanitakis, Z., Shah, R. C., Kelly, J. F., Fox, J. H., Cochran, E. J., Arends, D., Treinkman, A., et al. (2006) · Neuroepidemiology · doi:10.1159/000096129 · Cited by 407 · see citing works
Self-citationClusterin in Alzheimer’s Disease: Mechanisms, Genetics, and Lessons From Other Pathologies
Foster, E. M., Dangla-Valls, A., Lovestone, S., Ribe, E. M., & Buckley, N. J. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00164 · Cited by 381 · see citing works
Assessment of Lifetime Participation in Cognitively Stimulating Activities
Wilson, R. S., Barnes, L. L., & Bennett, D. A. (2003) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/jcen.25.5.634.14572 · Cited by 337 · see citing works
Self-citationSingle-Nucleus RNA-Seq Is Not Suitable for Detection of Microglial Activation Genes in Humans
Thrupp, N., Sala Frigerio, C., Wolfs, L., Skene, N. G., Fattorelli, N., Poovathingal, S., Fourne, Y., Matthews, P. M., Theys, T., Mancuso, R., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108189 · Cited by 329 · see citing works
Much of late life cognitive decline is not due to common neurodegenerative pathologies
Boyle, P. A., Wilson, R. S., Yu, L., Barr, A. M., Honer, W. G., Schneider, J. A., & Bennett, D. A. (2013) · Annals of Neurology · doi:10.1002/ana.23964 · Cited by 323 · see citing works
Self-citationNeff, R. A., Wang, M., Vatansever, S., Guo, L., Ming, C., Wang, Q., Wang, E., Horgusluoglu-Moloch, E., Song, W.-M., Li, A., et al. (2021) · Science Advances · doi:10.1126/sciadv.abb5398 · Cited by 306 · see citing works
Wan, Y.-W., Al-Ouran, R., Mangleburg, C. G., Perumal, T. M., Lee, T. V., Allison, K., Swarup, V., Funk, C. C., Gaiteri, C., Allen, M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107908 · Cited by 295 · see citing works
Self-citationGong, T., & Szustakowski, J. D. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt090 · Cited by 295 · see citing works
The impact of amyloid‐beta and tau on prospective cognitive decline in older individuals
Sperling, R. A., Mormino, E. C., Schultz, A. P., Betensky, R. A., Papp, K. V., Amariglio, R. E., Hanseeuw, B. J., Buckley, R., Chhatwal, J., Hedden, T., et al. (2019) · Annals of Neurology · doi:10.1002/ana.25395 · Cited by 286 · see citing works
Self-citationCognitive impairment, decline and fluctuations in older community-dwelling subjects with Lewy bodies
Schneider, J. A., Arvanitakis, Z., Yu, L., Boyle, P. A., Leurgans, S. E., & Bennett, D. A. (2012) · Brain · doi:10.1093/brain/aws234 · Cited by 273 · see citing works
Self-citationRelation of neuropathology to cognition in persons without cognitive impairment
Bennett, D. A., Wilson, R. S., Boyle, P. A., Buchman, A. S., & Schneider, J. A. (2012) · Annals of Neurology · doi:10.1002/ana.23654 · Cited by 220 · see citing works
Self-citationSkin-resident innate lymphoid cells converge on a pathogenic effector state
Bielecki, P., Riesenfeld, S. J., Hütter, J.-C., Triglia, E. T., Kowalczyk, M. S., Ricardo-González, R. R., Lian, M., Vesely, M. C. A., Kroehling, L., Xu, H. Y., et al. (2021) · Nature · doi:10.1038/s41586-021-03188-w · Cited by 218 · see citing works
Self-citationLarge-scale plasma proteomic analysis identifies proteins and pathways associated with dementia risk
Walker, K. A., Chen, J., Zhang, J., Fornage, M., Yang, Y., Zhou, L., Grams, M. E., Tin, A., Daya, N., Hoogeveen, R. C., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00064-0 · Cited by 212 · see citing works
A genome-wide scan for common variants affecting the rate of age-related cognitive decline
Jager, P. L. D., Shulman, J. M., Chibnik, L. B., Keenan, B. T., Raj, T., Wilson, R. S., Yu, L., Leurgans, S. E., Tran, D., Aubin, C., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.033 · Cited by 192 · see citing works
Self-citationA single-nuclei RNA sequencing study of Mendelian and sporadic AD in the human brain
Del-Aguila, J. L., Li, Z., Dube, U., Mihindukulasuriya, K. A., Budde, J. P., Fernandez, M. V., Ibanez, L., Bradley, J., Wang, F., Bergmann, K., et al. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0524-x · Cited by 183 · see citing works
West, D. C., Rees, C., Duchesne, L., Patey, S. J., Terry, C. J., Turnbull, J. E., Delehedde, M., Heegaard, C. W., Allain, F., Vanpouille, C., et al. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m410924200 · Cited by 172 · see citing works
Visualizing the structure of RNA-seq expression data using grade of membership models
Dey, K. K., Hsiao, C. J., & Stephens, M. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006599 · Cited by 161 · see citing works
dtangle: accurate and robust cell type deconvolution
Hunt, G. J., Freytag, S., Bahlo, M., & Gagnon-Bartsch, J. A. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty926 · Cited by 155 · see citing works
Association of APOE with tau-tangle pathology with and without β-amyloid
Farfel, J. M., Yu, L., Jager, P. L. D., Schneider, J. A., & Bennett, D. A. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.09.011 · Cited by 135 · see citing works
Self-citationGirgrah, N., Letarte, M., Becker, L. E., Cruz, T. F., Theriault, E., & Moscarello, M. A. (1991) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/00005072-199111000-00009 · Cited by 126 · see citing works
Digital cell quantification identifies global immune cell dynamics during influenza infection
Altboum, Z., Steuerman, Y., David, E., Barnett‐Itzhaki, Z., Valadarsky, L., Keren‐Shaul, H., Meningher, T., Mendelson, E., Mandelboim, M., Gat‐Viks, I., et al. (2014) · Molecular Systems Biology · doi:10.1002/msb.134947 · Cited by 119 · see citing works
Deconvolving the contributions of cell-type heterogeneity on cortical gene expression
Patrick, E., Taga, M. F., Ergün, A., Ng, B., Casazza, W., Cimpean, M., Yung, C. J., Schneider, J. A., Bennett, D. A., Gaiteri, C., et al. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008120 · Cited by 108 · see citing works
Self-citationAn Asymptotic | chi 2 Test for the Equality of Two Correlation Matrices
Jennrich, R. I. (1970) · Journal of the American Statistical Association · doi:10.2307/2284596 · Cited by 105 · see citing works
Amyloid mediates the association of apolipoprotein E e4 allele to cognitive function in older people
Bennett, D. A. (2005) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2004.054445 · Cited by 99 · see citing works
Self-citationConscientiousness, dementia related pathology, and trajectories of cognitive aging.
Wilson, R. S., Boyle, P. A., Yu, L., Segawa, E., Sytsma, J., & Bennett, D. A. (2015) · Psychology and Aging · doi:10.1037/pag0000013 · Cited by 81 · see citing works
Self-citationIntercellular network structure and regulatory motifs in the human hematopoietic system
Qiao, W., Wang, W., Laurenti, E., Turinsky, A. L., Wodak, S. J., Bader, G. D., Dick, J. E., & Zandstra, P. W. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145141 · Cited by 71 · see citing works
Leitão, R. A., Sereno, J., Castelhano, J., Goncalves, S. I., Coelho‐Santos, V., Ribeiro, C., Castelo-Branco, M. S., & Silva, A. P. (2017) · Molecular Neurobiology · doi:10.1007/s12035-017-0439-0 · Cited by 35 · see citing works
Olah, M., Menon, V., Habib, N., Taga, M. F., Ma, Y., Khairallah, A., Yung, C. J., Coronas‐Samano, G., Vonsattel, J. P., Teich, A. F., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.038589 · Cited by 30 · see citing works
Self-citation
Flagged first, then by citations
1 of the 70 references couldn’t be matched to a known paper.
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 593 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
“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 · see citing works
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 157 · see citing works
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 · see citing works
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 · see citing works
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 189 · see citing works
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 138 · see citing works
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 · see citing works
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 100 · see citing works
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 · see citing works
Self-citationde Vries, L. D., Huitinga, I., Kessels, H. W., Swaab, D., & Verhaagen, J. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00719-7 · Cited by 78 · see citing works
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 · see citing works
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 63 · see citing works
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 78 · see citing works
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 59 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 51 · see citing works
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 56 · see citing works
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 47 · see citing works
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 · see citing works
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 43 · see citing works
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 · see citing works
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 39 · see citing works
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 37 · see citing works
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 47 · see citing works
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 34 · see citing works
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 33 · see citing works
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 33 · see citing works
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 31 · see citing works
Self-citationBrain aging and rejuvenation at single-cell resolution
Sun, E. D., Nagvekar, R., Pogson, A. N., & Brunet, A. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.007 · Cited by 31 · see citing works
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 · see citing works
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 28 · see citing works
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 · see citing works
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 · see citing works
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 29 · see citing works
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 · see citing works
Khan, A. F., & Iturria‐Medina, Y. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03073-w · Cited by 28 · see citing works
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 25 · see citing works
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 · see citing works
“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 19 · see citing works
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 · see citing works
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 22 · see citing works
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 20 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 16 · see citing works
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 14 · see citing works
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 14 · see citing works
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 13 · see citing works
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 · see citing works
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 · see citing works
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 13 · see citing works
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 · see citing works
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 13 · see citing works
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 · see citing works
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 10 · see citing works
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 10 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 9 · see citing works
Rolli, S., Langridge, C. A., & Sontag, E. M. (2024) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2024.1427542 · Cited by 9 · see citing works
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 · see citing works
Hong, X., Chen, T.-K., Liu, Y.-Y., Li, J., Huang, D.-Q., Ye, K., Liao, W.-C., Wang, Y.-L., Liu, M., & Luan, P. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102669 · Cited by 10 · see citing works
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 · see citing works
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 · see citing works
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 7 · see citing works
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 · see citing works
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 · see citing works
Irastorza-Valera, L., Gómez, E. S., Benítez, J. M., Montáns, F. J., & Saucedo‐Mora, L. (2024) · Biomimetics · doi:10.3390/biomimetics9060362 · Cited by 7 · see citing works
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 · see citing works
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 7 · see citing works
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 5 · see citing works
Sharon, M., Gruber, G., Argov, C. M., Volozhinsky, M., & Yeger‐Lotem, E. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad421 · Cited by 5 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 4 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 12 · see citing works
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 3 · see citing works
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 3 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 2 · see citing works
- 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 · 2022: 17 · 2021: 2
- 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
- Health Sciences › Medicine › Physiology › 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