Early Alzheimer’s disease pathology in human cortex involves transient cell states

WGCNA: an R package for weighted correlation network analysis

Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252 · see citing works

Comprehensive Integration of Single-Cell Data

Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453 · see citing works

Fast, sensitive and accurate integration of single-cell data with Harmony

Korsunsky, I., Millard, N., Fan, J., Slowikowski, K., Zhang, F., Wei, K., Baglaenko, Y., Brenner, M., Loh, P.-R., & Raychaudhuri, S. (2019) · Nature Methods · doi:10.1038/s41592-019-0619-0 · Cited by 10,488 · see citing works

Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool

Chen, E. Y., Tan, C. M., Kou, Y., Duan, Q., Wang, Z., Meirelles, G. V., Clark, N. R., & Ma’ayan, A. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-128 · Cited by 7,814 · see citing works

Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.

Macosko, E. Z., Basu, A., Satija, R., Nemesh, J., Shekhar, K., Goldman, M., Tirosh, I., Bialas, A. R., Kamitaki, N., Martersteck, E. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.002 · Cited by 7,110 · see citing works

REVIGO summarizes and visualizes long lists of gene ontology terms

Supek, F., Bošnjak, M., Škunca, N., & Šmuc, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021800 · Cited by 6,264 · see citing works

voom: precision weights unlock linear model analysis tools for RNA-seq read counts

Law, C. W., Chen, Y., Shi, W., & Smyth, G. K. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r29 · Cited by 6,155 · see citing works

A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease

Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493 · see citing works

Functional mapping and annotation of genetic associations with FUMA

Watanabe, K., Taskesen, E., van Bochoven, A., & Posthuma, D. (2017) · Nature Communications · doi:10.1038/s41467-017-01261-5 · Cited by 4,083 · see citing works

A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data

Eickhoff, S. B., Stephan, K. E., Mohlberg, H., Grefkes, C., Fink, G. R., Amunts, K., & Zilles, K. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.034 · Cited by 4,033 · see citing works

Clinical and biomarker changes in dominantly inherited Alzheimer's disease

Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814 · see citing works

Fast gene set enrichment analysisPreprint

Korotkevich, G., Sukhov, V., Budin, N., Shpak, B., Artyomov, M. N., & Sergushichev, A. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/060012 · Cited by 3,742 · see citing works

MAGMA: Generalized Gene-Set Analysis of GWAS Data

de Leeuw, C. A., Mooij, J. M., Heskes, T., & Posthuma, D. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004219 · Cited by 3,653 · see citing works

Alzheimer Disease: An Update on Pathobiology and Treatment Strategies

Long, J. M., & Holtzman, D. M. (2019) · Cell · doi:10.1016/j.cell.2019.09.001 · Cited by 3,204 · 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

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01024-z · Cited by 2,498 · see citing works

Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies

Nalls, M. A., Blauwendraat, C., Vallerga, C. L., Heilbron, K., Bandres-Ciga, S., Chang, D., Tan, M., Kia, D. A., Noyce, A. J., Xue, A., et al. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30320-5 · Cited by 2,454 · see citing works

Identification of common genetic risk variants for autism spectrum disorder

Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, Grove, J., BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team, Ripke, S., Als, T. D., Mattheisen, M., Walters, R. K., Won, H., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0344-8 · Cited by 2,421 · see citing works

Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk

Jansen, I. E., Savage, J. E., Watanabe, K., Bryois, J., Williams, D. M., Steinberg, S., Sealock, J., Karlsson, I. K., Hägg, S., Athanasiu, L., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0311-9 · Cited by 2,277 · see citing works

Complex cell-state changes revealed by single cell RNA sequencing of 76,149 microglia throughout the mouse lifespan and in the injured brain

Hammond, T. R., Dufort, C., Dissing-Olesen, L., Giera, S., Young, A., Wysoker, A., Walker, A. J., Segel, M., Nemesh, J., Saunders, A., et al. (2018) · doi:10.1101/406140 · Cited by 2,225 · see citing works

CellProfiler 4: improvements in speed, utility and usability

Stirling, D. R., Swain-Bowden, M. J., Lucas, A. M., Carpenter, A. E., Cimini, B. A., & Goodman, A. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04344-9 · Cited by 2,099 · see citing works

The Cellular Phase of Alzheimer’s Disease

De Strooper, B., & Karran, E. (2016) · Cell · doi:10.1016/j.cell.2015.12.056 · Cited by 1,990 · see citing works

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

van Dijk, D., Sharma, R., Nainys, J., Yim, K., Kathail, P., Carr, A. J., Burdziak, C., Moon, K. R., Chaffer, C. L., Pattabiraman, D., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.061 · Cited by 1,829 · see citing works

Conserved 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

Clearance systems in the brain—implications for Alzheimer disease

Tarasoff-Conway, J. M., Carare, R. O., Osorio, R. S., Glodzik, L., Butler, T., Fieremans, E., Axel, L., Rusinek, H., Nicholson, C., Zlokovic, B. V., et al. (2015) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.119 · Cited by 1,678 · see citing works

Rapid single-step induction of functional neurons from human pluripotent stem cells

Zhang, Y., Pak, C., Han, Y., Ahlenius, H., Zhang, Z., Chanda, S., Marro, S., Patzke, C., Acuna, C., Covy, J., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.05.029 · Cited by 1,644 · see citing works

The self-tuning neuron: synaptic scaling of excitatory synapses

Turrigiano, G. G. (2008) · Cell · doi:10.1016/j.cell.2008.10.008 · Cited by 1,533 · see citing works

Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution

Masuda, T., Sankowski, R., Staszewski, O., Böttcher, C., Amann, L., Sagar, Scheiwe, C., Nessler, S., Kunz, P., van Loo, G., et al. (2019) · Nature · doi:10.1038/s41586-019-0924-x · Cited by 1,310 · see citing works

Synaptic Activity Regulates Interstitial Fluid Amyloid-β Levels In Vivo

Cirrito, J. R., Yamada, K. A., Finn, M. B., Sloviter, R. S., Bales, K. R., May, P. C., Schoepp, D. D., Paul, S. M., Mennerick, S., & Holtzman, D. M. (2005) · Neuron · doi:10.1016/j.neuron.2005.10.028 · Cited by 1,265 · see citing works

Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity

Welch, J. D., Kozareva, V., Ferreira, A., Vanderburg, C., Martin, C., & Macosko, E. Z. (2019) · Cell · doi:10.1016/j.cell.2019.05.006 · Cited by 1,193 · see citing works

Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and TREM2-independent cellular responses in Alzheimer’s disease

Zhou, 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

Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing

Li, Q., Cheng, Z., Zhou, L., Darmanis, S., Neff, N. F., Okamoto, J., Gulati, G., Bennett, M. L., Sun, L. O., Clarke, L. E., et al. (2019) · Neuron · doi:10.1016/j.neuron.2018.12.006 · Cited by 1,129 · see citing works

Clusters of Hyperactive Neurons Near Amyloid Plaques in a Mouse Model of Alzheimer’s Disease

Busche, M. A., Eichhoff, G., Adelsberger, H., Abramowski, D., Wiederhold, K.-H., Haass, C., Staufenbiel, M., Konnerth, A., & Garaschuk, O. (2008) · Science · doi:10.1126/science.1162844 · Cited by 1,125 · see citing works

Massively 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

A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer’s disease

Wightman, D. P., Jansen, I. E., Savage, J. E., Shadrin, A. A., Bahrami, S., Holland, D., Rongve, A., Børte, S., Winsvold, B. S., Drange, O. K., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00921-z · Cited by 1,011 · 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

Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain

Lake, B. B., Chen, S., Sos, B. C., Fan, J., Kaeser, G. E., Yung, Y. C., Duong, T. E., Gao, D., Chun, J., Kharchenko, P. V., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4038 · Cited by 983 · see citing works

A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation

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

Single-cell genomics identifies cell type–specific molecular changes in autism

Velmeshev, D., Schirmer, L., Jung, D., Haeussler, M., Perez, Y., Mayer, S., Bhaduri, A., Goyal, N., Rowitch, D. H., & Kriegstein, A. R. (2019) · Science · doi:10.1126/science.aav8130 · Cited by 927 · see citing works

The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques

Sala Frigerio, C., Wolfs, L., Fattorelli, N., Thrupp, N., Voytyuk, I., Schmidt, I., Mancuso, R., Chen, W.-T., Woodbury, M. E., Srivastava, G., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.099 · Cited by 926 · see citing works

Systematic comparison of single-cell and single-nucleus RNA-sequencing methods

Ding, J., Adiconis, X., Simmons, S. K., Kowalczyk, M. S., Hession, C. C., Marjanovic, N. D., Hughes, T. K., Wadsworth, M. H., Burks, T., Nguyen, L. T., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0465-8 · Cited by 871 · see citing works

Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender

Fleming, S. J., Chaffin, M. D., Arduini, A., Akkad, A.-D., Banks, E., Marioni, J. C., Philippakis, A. A., Ellinor, P. T., & Babadi, M. (2023) · Nature Methods · doi:10.1038/s41592-023-01943-7 · Cited by 867 · see citing works

Altered human oligodendrocyte heterogeneity in multiple sclerosis

Jäkel, S., Agirre, E., Mendanha Falcão, A., van Bruggen, D., Lee, K. W., Knuesel, I., Malhotra, D., ffrench-Constant, C., Williams, A., & Castelo-Branco, G. (2019) · Nature · doi:10.1038/s41586-019-0903-2 · Cited by 854 · see citing works

Comparative cellular analysis of motor cortex in human, marmoset and mouse

Bakken, T. E., Jorstad, N. L., Hu, Q., Lake, B. B., Tian, W., Kalmbach, B. E., Crow, M., Hodge, R. D., Krienen, F. M., Sorensen, S. A., et al. (2021) · Nature · doi:10.1038/s41586-021-03465-8 · Cited by 812 · see citing works

Integrative functional genomic analysis of human brain development and neuropsychiatric risks

Li, M., Santpere, G., Imamura Kawasawa, Y., Evgrafov, O. V., Gulden, F. O., Pochareddy, S., Sunkin, S. M., Li, Z., Shin, Y., Zhu, Y., et al. (2018) · Science · doi:10.1126/science.aat7615 · Cited by 810 · see citing works

Neuron-Astrocyte Metabolic Coupling Protects against Activity-Induced Fatty Acid Toxicity

Ioannou, M. S., Jackson, J., Sheu, S.-H., Chang, C.-L., Weigel, A. V., Liu, H., Pasolli, H. A., Xu, C. S., Pang, S., Matthies, D., et al. (2019) · Cell · doi:10.1016/j.cell.2019.04.001 · Cited by 760 · see citing works

Brain templates and atlases

Evans, A. C., Janke, A. L., Collins, D. L., & Baillet, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.024 · Cited by 697 · see citing works

Synaptic integration in tuft dendrites of layer 5 pyramidal neurons: a new unifying principle

Larkum, M. E., Nevian, T., Sandler, M., Polsky, A., & Schiller, J. (2009) · Science · doi:10.1126/science.1171958 · Cited by 677 · see citing works

A vicious cycle of β amyloid−dependent neuronal hyperactivation

Zott, B., Simon, M. M., Hong, W., Unger, F., Chen-Engerer, H.-J., Frosch, M. P., Sakmann, B., Walsh, D. M., & Konnerth, A. (2019) · Science · doi:10.1126/science.aay0198 · Cited by 640 · see citing works

CSF Aβ 42 levels correlate with amyloid-neuropathology in a population-based autopsy study

Strozyk, D., Blennow, K., White, L. R., & Launer, L. J. (2003) · Neurology · doi:10.1212/01.wnl.0000046581.81650.d0 · Cited by 604 · see citing works

Single-Cell RNA-Seq Reveals Hypothalamic Cell Diversity

Chen, R., Wu, X., Jiang, L., & Zhang, Y. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.03.004 · Cited by 592 · see citing works

Single-cell sequencing of human midbrain reveals glial activation and a Parkinson-specific neuronal state

Smajić, S., Prada-Medina, C. A., Landoulsi, Z., Ghelfi, J., Delcambre, S., Dietrich, C., Jarazo, J., Henck, J., Balachandran, S., Pachchek, S., et al. (2022) · Brain · doi:10.1093/brain/awab446 · Cited by 590 · see citing works

Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture

Amunts, K., Mohlberg, H., Bludau, S., & Zilles, K. (2020) · Science · doi:10.1126/science.abb4588 · Cited by 588 · see citing works

TGF-β1 promotes microglial amyloid-β clearance and reduces plaque burden in transgenic mice

Wyss-Coray, T., Lin, C., Yan, F., Yu, G.-Q., Rohde, M., McConlogue, L., Masliah, E., & Mucke, L. (2001) · Nature Medicine · doi:10.1038/87945 · Cited by 587 · see citing works

Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease

Kamath, T., Abdulraouf, A., Burris, S. J., Langlieb, J., Gazestani, V., Nadaf, N. M., Balderrama, K., Vanderburg, C., & Macosko, E. Z. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01061-1 · Cited by 552 · see citing works

Microglia clear neuron-released α-synuclein via selective autophagy and prevent neurodegeneration

Choi, I., Zhang, Y., Seegobin, S. P., Pruvost, M., Wang, Q., Purtell, K., Zhang, B., & Yue, Z. (2020) · Nature Communications · doi:10.1038/s41467-020-15119-w · Cited by 549 · see citing works

Neuronal Activity-Regulated Gene Transcription in Synapse Development and Cognitive Function

West, A. E., & Greenberg, M. E. (2011) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005744 · Cited by 532 · see citing works

Single-cell analysis reveals T cell infiltration in old neurogenic niches

Dulken, B. W., Buckley, M. T., Navarro Negredo, P., Saligrama, N., Cayrol, R., Leeman, D. S., George, B. M., Boutet, S. C., Hebestreit, K., Pluvinage, J. V., et al. (2019) · Nature · doi:10.1038/s41586-019-1362-5 · Cited by 521 · see citing works

Human Embryonic Stem Cell-Derived Motor Neurons Are Sensitive to the Toxic Effect of Glial Cells Carrying an ALS-Causing Mutation

Giorgio, F. P. D., Boulting, G. L., Bobrowicz, S., & Eggan, K. C. (2008) · Cell stem cell · doi:10.1016/j.stem.2008.09.017 · Cited by 488 · 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

Single-nucleus transcriptome analysis reveals dysregulation of angiogenic endothelial cells and neuroprotective glia in Alzheimer’s disease

Lau, S.-F., Cao, H., Fu, A. K. Y., & Ip, N. Y. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2008762117 · Cited by 476 · see citing works

Transcription factor-mediated differentiation of human iPSCs into neurons

Fernandopulle, M. S., Prestil, R., Grunseich, C., Wang, C., Gan, L., & Ward, M. E. (2018) · Current Protocols in Cell Biology · doi:10.1002/cpcb.51 · Cited by 461 · see citing works

Crosstalk Between Astrocytes and Microglia: An Overview

Matejuk, A., & Ransohoff, R. M. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01416 · Cited by 445 · see citing works

Distinct amyloid-β and tau-associated microglia profiles in Alzheimer’s disease

Gerrits, E., Brouwer, N., Kooistra, S. M., Woodbury, M. E., Vermeiren, Y., Lambourne, M., Mulder, J., Kummer, M., Möller, T., Biber, K., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02263-w · Cited by 441 · see citing works

Detecting Activated Cell Populations Using Single-Cell RNA-Seq

Wu, Y. E., Pan, L., Zuo, Y., Li, X., & Hong, W. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.026 · Cited by 438 · see citing works

Dissection of artifactual and confounding glial signatures by single-cell sequencing of mouse and human brain

Marsh, S. E., Walker, A. J., Kamath, T., Dissing-Olesen, L., Hammond, T. R., de Soysa, T. Y., Young, A. M. H., Murphy, S., Abdulraouf, A., Nadaf, N., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01022-8 · Cited by 432 · see citing works

Mouse genome database (MGD): Knowledgebase for mouse-human comparative biology

Blake, J. A., Baldarelli, R., Kadin, J. A., Richardson, J. E., Smith, C. L., Bult, C. J., the Mouse Genome Database Group, Anagnostopoulos, A. V., Beal, J. S., Bello, S. M., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1083 · Cited by 422 · see citing works

Development of Alzheimer-related neurofibrillary changes in the neocortex inversely recapitulates cortical myelogenesis

Braak, H., & Braak, E. (1996) · Acta Neuropathologica · doi:10.1007/s004010050508 · Cited by 406 · see citing works

A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex

Yao, Z., Liu, H., Xie, F., Fischer, S., Adkins, R. S., Aldridge, A. I., Ament, S. A., Bartlett, A., Behrens, M. M., Van den Berge, K., et al. (2021) · Nature · doi:10.1038/s41586-021-03500-8 · Cited by 398 · see citing works

Different Neuronal Activity Patterns Induce Different Gene Expression Programs

Tyssowski, K. M., DeStefino, N. R., Cho, J.-H., Dunn, C. J., Poston, R. G., Carty, C. E., Jones, R. D., Chang, S. M., Romeo, P., Wurzelmann, M. K., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.04.001 · Cited by 390 · see citing works

A practical solution to pseudoreplication bias in single-cell studies

Zimmerman, K. D., Espeland, M. A., & Langefeld, C. D. (2021) · Nature Communications · doi:10.1038/s41467-021-21038-1 · Cited by 362 · see citing works

Loss of TGF-β1 Leads to Increased Neuronal Cell Death and Microgliosis in Mouse Brain

Brionne, T. C., Tesseur, I., Masliah, E., & Wyss-Coray, T. (2003) · Neuron · doi:10.1016/s0896-6273(03)00766-9 · Cited by 325 · see citing works

Genetic mapping of cell type specificity for complex traits

Watanabe, K., Mirkov, M. U., de Leeuw, C., van den Heuvel, M. P., & Posthuma, D. (2019) · Nature Communications · doi:10.1038/s41467-019-11181-1 · Cited by 323 · see citing works

Preparation of Acute Brain Slices Using an Optimized N-Methyl-D-glucamine Protective Recovery Method

Ting, J. T., Lee, B. R., Chong, P., Soler-Llavina, G. J., Cobbs, C., Christof Koch, A., Zeng, H., & Lein, E. S. (2018) · Journal of Visualized Experiments · doi:10.3791/53825 · Cited by 315 · see citing works

Validation of Grading Scale for Evaluating Symptoms of Idiopathic Normal-Pressure Hydrocephalus

Kubo, Y., Kazui, H., Yoshida, T., Kito, Y., Kimura, N., Tokunaga, H., Ogino, A., 三宅, 裕., Ishikawa, M., & Takeda, M. (2007) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000111149 · Cited by 310 · see citing works

Novel Alzheimer risk genes determine the microglia response to amyloid-β but not to TAU pathology

Sierksma, A., Lu, A., Mancuso, R., Fattorelli, N., Thrupp, N., Salta, E., Zoco, J., Blum, D., Buée, L., De Strooper, B., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.201910606 · Cited by 291 · see citing works

CDK5 Serves as a Major Control Point in Neurotransmitter Release

Kim, S. H., & Ryan, T. A. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.003 · Cited by 277 · see citing works

Genetic analysis of the human microglial transcriptome across brain regions, aging and disease pathologies

Lopes, K. D. P., Snijders, G. J. L., Humphrey, J., Allan, A., Sneeboer, M. A. M., Navarro, E., Schilder, B. M., Vialle, R. A., Parks, M., Missall, R., et al. (2022) · Nature Genetics · doi:10.1038/s41588-021-00976-y · Cited by 273 · see citing works

A mechanistic hypothesis for the impairment of synaptic plasticity by soluble Aβ oligomers from Alzheimer’s brain

Li, S., & Selkoe, D. J. (2020) · Journal of Neurochemistry · doi:10.1111/jnc.15007 · Cited by 264 · see citing works

Molecular signatures underlying neurofibrillary tangle susceptibility in Alzheimer’s disease

Otero-Garcia, M., Mahajani, S. U., Wakhloo, D., Tang, W., Xue, Y.-Q., Morabito, S., Pan, J., Oberhauser, J., Madira, A. E., Shakouri, T., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.06.021 · Cited by 262 · see citing works

Combining NGN2 Programming with Developmental Patterning Generates Human Excitatory Neurons with NMDAR-Mediated Synaptic Transmission

Nehme, R., Zuccaro, E., Ghosh, S. D., Li, C., Sherwood, J. L., Pietiläinen, O. P. H., Barrett, L. E., Limone, F., Worringer, K. A., Kommineni, S., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.04.066 · Cited by 242 · see citing works

CSF biomarkers for Alzheimer disease correlate with cortical brain biopsy findings

Seppälä, T. T., Nerg, O., Koivisto, A. M., Rummukainen, J., Puli, L., Zetterberg, H., Pyykkö, O. T., Helisalmi, S., Alafuzoff, I., Hiltunen, M., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182563bd0 · Cited by 236 · see citing works

Rapid neurogenesis through transcriptional activation in human stem cells

Busskamp, V., Lewis, N. E., Guye, P., Ng, A. H. M., Shipman, S. L., Byrne, S. M., Sanjana, N. E., Murn, J., Li, Y., Li, S., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145508 · Cited by 222 · see citing works

SNAP-25 Modulation of Calcium Dynamics Underlies Differences in GABAergic and Glutamatergic Responsiveness to Depolarization

Verderio, C., Pozzi, D., Pravettoni, E., Inverardi, F., Schenk, U., Coco, S., Proux‐Gillardeaux, V., Galli, T., Rossetto, O., Frassoni, C., et al. (2004) · Neuron · doi:10.1016/s0896-6273(04)00077-7 · Cited by 217 · see citing works

Learning-Related Plasticity in Dendrite-Targeting Layer 1 Interneurons

Abs, E., Poorthuis, R. B., Apelblat, D., Muhammad, K., Pardi, M. B., Enke, L., Kushinsky, D., Pu, D.-L., Eizinger, M. F., Conzelmann, K., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.001 · Cited by 212 · see citing works

Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex

Mich, J. K., Graybuck, L. T., Hess, E. E., Mahoney, J. T., Kojima, Y., Ding, Y., Somasundaram, S., Miller, J. A., Kalmbach, B. E., Radaelli, C., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108754 · Cited by 193 · see citing works

Rewiring of human neurodevelopmental gene regulatory programs by human accelerated regions

Girskis, K. M., Stergachis, A. B., DeGennaro, E. M., Doan, R. N., Qian, X., Johnson, M. B., Wang, P. P., Sejourne, G. M., Nagy, M. A., Pollina, E. A., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.08.005 · Cited by 193 · see citing works

Lack of shunt response in suspected idiopathic normal pressure hydrocephalus with Alzheimer disease pathology

Hamilton, R. H., Patel, S. V., Lee, E. B., Jackson, E. M., Lopinto, J., Arnold, S. E., Clark, C. M., Basil, A. K., Shaw, L. M. J., Xie, S. X., et al. (2010) · Annals of Neurology · doi:10.1002/ana.22015 · Cited by 187 · see citing works

Single-Cell Transcriptomics Characterizes Cell Types in the Subventricular Zone and Uncovers Molecular Defects Impairing Adult Neurogenesis

Zywitza, V., Misios, A., Bunatyan, L., Willnow, T. E., & Rajewsky, N. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.11.003 · Cited by 183 · see citing works

Mixed-effects association of single cells identifies an expanded effector CD4 + T cell subset in rheumatoid arthritis

Fonseka, C. Y., Rao, D. A., Teslovich, N. C., Korsunsky, I., Hannes, S. K., Slowikowski, K., Gurish, M. F., Donlin, L. T., Lederer, J. A., Weinblatt, M. E., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aaq0305 · Cited by 177 · see citing works

Cell type-specific transcriptional programs in mouse prefrontal cortex during adolescence and addiction

Bhattacherjee, A., Djekidel, M. N., Chen, R., Chen, W., Tuesta, L. M., & Zhang, Y. (2019) · Nature Communications · doi:10.1038/s41467-019-12054-3 · Cited by 174 · see citing works

Exposure of iPSC-derived human microglia to brain substrates enables the generation and manipulation of diverse transcriptional states in vitro

Dolan, M.-J., Therrien, M., Jereb, S., Kamath, T., Gazestani, V., Atkeson, T., Marsh, S. E., Goeva, A., Lojek, N. M., Murphy, S., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01558-2 · Cited by 174 · see citing works

Human brain myelination and amyloid beta deposition in Alzheimer's disease

Bartzokis, G., Lu, P. H., & Mintz, J. (2007) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2007.01.019 · Cited by 162 · see citing works

Astrocyte calcium dysfunction causes early network hyperactivity in Alzheimer’s disease

Shah, D., Gsell, W., Wahis, J., Luckett, E. S., Jamoulle, T., Vermaercke, B., Preman, P., Moechars, D., Hendrickx, V., Jaspers, T., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111280 · Cited by 153 · see citing works

Increased excitatory to inhibitory synaptic ratio in parietal cortex samples from individuals with Alzheimer’s disease

Lauterborn, J. C., Scaduto, P., Cox, C. D., Schulmann, A., LYNCH, G. S., Gall, C. M., Keene, C. D., & Limón, A. (2021) · Nature Communications · doi:10.1038/s41467-021-22742-8 · Cited by 146 · see citing works

Na, K-ATPase α3 is a death target of Alzheimer patient amyloid-β assembly

Ohnishi, T., Yanazawa, M., Sasahara, T., Kitamura, Y., Hiroaki, H., Fukazawa, Y., Kii, I., Nishiyama, T., Kakita, A., Takeda, H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421182112 · Cited by 139 · see citing works

IL (Interleukin)-15 Bridges Astrocyte-Microglia Crosstalk and Exacerbates Brain Injury Following Intracerebral Hemorrhage

Shi, S. X.-Y., Li, Y.-J., Shi, K., Wood, K., Ducruet, A. F., & Liu, Q. (2020) · Stroke · doi:10.1161/strokeaha.119.028638 · Cited by 114 · see citing works

Activity-dependent phosphorylation of Ser187 is required for SNAP-25-negative modulation of neuronal voltage-gated calcium channels

Pozzi, D., Condliffe, S. B., Bozzi, Y., Chikhladze, M., Grumelli, C., Proux‐Gillardeaux, V., Takahashi, M., Franceschetti, S., Verderio, C., & Matteoli, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706211105 · Cited by 111 · see citing works

Post‐mortem findings in 10 patients with presumed normal‐pressure hydrocephalus and review of the literature

Leinonen, V., Koivisto, A. M., Savolainen, S., Rummukainen, J., Sutela, A., Vanninen, R. L., Jääskeläinen, J. E., Soininen, H. S., & Alafuzoff, I. I. (2011) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2011.01195.x · Cited by 99 · see citing works

NDNF interneurons in layer 1 gain-modulate whole cortical columns according to an animal’s behavioral state

Malina, K. C.-K., Tsivourakis, E., Kushinsky, D., Apelblat, D., Shtiglitz, S., Zohar, E., Sokoletsky, M., Tasaka, G., Mizrahi, A., Lampl, I., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.05.001 · Cited by 99 · see citing works

Cerebrospinal Fluid Biomarkers Distinguish Postmortem-Confirmed Alzheimer's Disease from Other Dementias and Healthy Controls in the OPTIMA Cohort

Seeburger, J. L., Holder, D., Combrinck, M. I., Joachim, C. L., Laterza, O., Tanen, M. R. L., Dallob, A. L., Chappell, D. L., Snyder, K., Flynn, M., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141725 · Cited by 93 · see citing works

Cell-type-specific metabolic labeling, detection and identification of nascent proteomes in vivo

Alvarez-Castelao, B., Schanzenbächer, C. T., Langer, J. D., & Schuman, E. M. (2019) · Nature Protocols · doi:10.1038/s41596-018-0106-6 · Cited by 84 · see citing works

Selective time-dependent changes in activity and cell-specific gene expression in human postmortem brain

Dachet, F., Brown, J. B., Valyi-Nagy, T., Narayan, K. D., Serafini, A., Boley, N., Gingeras, T. R., Celniker, S. E., Mohapatra, G., & Loeb, J. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-85801-6 · Cited by 81 · see citing works

Soluble amyloid beta levels are elevated in the white matter of Alzheimer’s patients, independent of cortical plaque severity

Collins-Praino, L. E., Francis, Y. I., Griffith, E. Y., Wiegman, A. F., Urbach, J., Lawton, A., Honig, L. S., Cortes, E., Vonsattel, J. P. G., Canoll, P. D., et al. (2014) · Acta Neuropathologica Communications · doi:10.1186/s40478-014-0083-0 · Cited by 79 · see citing works

Isolation and characterization of adult microglial cells and oligodendrocytes derived from postmortem human brain tissue

Groot, C. J. A. D., Montagne, L., Janssen, I., Ravid, R., van der Valk, P., & Veerhuis, R. (2000) · Brain Research Protocols · doi:10.1016/s1385-299x(99)00059-8 · Cited by 76 · see citing works

Cortical Brain Biopsy in Long-Term Prognostication of 468 Patients with Possible Normal Pressure Hydrocephalus

Leinonen, V., Koivisto, A. M., Alafuzoff, I. I., Pyykkö, O. T., Rummukainen, J. K., zu Fraunberg, M. V. U., Jääskeläinen, J. E., Soininen, H. S., Rinne, J., & Savolainen, S. (2012) · Neurodegenerative Diseases · doi:10.1159/000335155 · Cited by 73 · see citing works

Blockade of IL‐15 activity inhibits microglial activation through the NFκB, p38, and ERK1/2 pathways, reducing cytokine and chemokine release

Gómez‐Nicola, D., Valle‐Argos, B., & Nieto‐Sampedro, M. (2009) · Glia · doi:10.1002/glia.20920 · Cited by 72 · see citing works

Functional excitatory to inhibitory synaptic imbalance and loss of cognitive performance in people with Alzheimer’s disease neuropathologic change

Scaduto, P., Lauterborn, J. C., Cox, C. D., Fracassi, A., Zeppillo, T., Gutierrez, B. A., Keene, C. D., Crane, P. K., Mukherjee, S., Russell, W. K., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02526-0 · Cited by 68 · see citing works

Bottom-up inputs are required for establishment of top-down connectivity onto cortical layer 1 neurogliaform cells

Ibrahim, L. A., Huang, S., Fernández-Otero, M., Sherer, M., Qiu, Y., Vemuri, S., Xu, Q., Machold, R. P., Pouchelon, G., Rudy, B., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.08.004 · Cited by 60 · see citing works

The Kuopio idiopathic normal pressure hydrocephalus protocol: initial outcome of 175 patients

Junkkari, A., Luikku, A. J., Danner, N., Jyrkkänen, H. K., Rauramaa, T. H., Korhonen, V. E., Koivisto, A. M., Nerg, O., Kojoukhova, M., Huttunen, T., et al. (2019) · Fluids and Barriers of the CNS · doi:10.1186/s12987-019-0142-9 · Cited by 58 · see citing works

Preparation of Acute Brain Slices Using an Optimized N-Methyl-D-glucamine Protective Recovery Method

Ting, J. T., Lee, B. R., Chong, P., Soler-Llavina, G. J., Cobbs, C., Christof Koch, A., Zeng, H., & Lein, E. S. (2018) · Journal of Visualized Experiments · doi:10.3791/53825-v · Cited by 55 · see citing works

Age-Dependent, Non-Cell-Autonomous Deposition of Amyloid from Synthesis of β-Amyloid by Cells Other Than Excitatory Neurons

Veeraraghavalu, K., Zhang, C. M., Zhang, X., Tanzi, R. E., & Sisodia, S. S. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5079-13.2014 · Cited by 50 · see citing works

Layer-specific high-frequency action potential spiking in the prefrontal cortex of awake rats

Boudewijns, Z. S. R. M., Groen, M. R., Lodder, B., McMaster, M. T. B., Kalogreades, L., de Haan, R., Narayanan, R. T., Meredith, R. M., Mansvelder, H. D., & de Kock, C. P. J. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00099 · Cited by 47 · see citing works

Predicting Development of Alzheimer’s Disease in Patients with Shunted Idiopathic Normal Pressure Hydrocephalus

Luikku, A. J., Hall, A., Nerg, O., Koivisto, A. M., Hiltunen, M., Helisalmi, S., Herukka, S., Junkkari, A., Sutela, A., Kojoukhova, M., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190334 · Cited by 44 · see citing works

Generation of oligodendrocytes and establishment of an all-human myelinating platform from human pluripotent stem cells

García-León, J., García-Díaz, B., Eggermont, K., Cáceres-Palomo, L., Neyrinck, K., da Costa, R. F. M., Davila, J., Evercooren, A. B.-V., Gutierrez, A., & Verfaillie, C. (2020) · Nature Protocols · doi:10.1038/s41596-020-0395-4 · Cited by 44 · see citing works

Oligodendrocytes are a Novel Source of Amyloid Peptide Generation

Skaper, S. D., Evans, N. A., Soden, P. E., Rosin, C., Facci, L., & Richardson, J. C. (2009) · Neurochemical Research · doi:10.1007/s11064-009-0022-9 · Cited by 43 · see citing works

Multiple Click-Selective tRNA Synthetases Expand Mammalian Cell-Specific Proteomics

Yang, A. C., du Bois, H., Olsson, N., Gate, D., Lehallier, B., Berdnik, D., Brewer, K. D., Bertozzi, C. R., Elias, J. E., & Wyss‐Coray, T. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b03074 · Cited by 35 · see citing works

Neuronal life after death: electrophysiologic recordings from neurons in adult human brain tissue obtained through surgical resection or postmortem

Kramvis, I., Mansvelder, H. D., & Meredith, R. M. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63639-3.00022-0 · Cited by 24 · see citing works

Long‐term potentiation in neurogliaform interneurons modulates excitation–inhibition balance in the temporoammonic pathway

Mercier, M. S., Magloire, V., Cornford, J. H., & Kullmann, D. M. (2022) · The Journal of Physiology · doi:10.1113/jp282753 · Cited by 22 · see citing works

Postmortem Adult Human Microglia Proliferate in Culture to High Passage and Maintain Their Response to Amyloid-β

Guo, L., Rezvanian, A., Kukreja, L., Hoveydai, R., Bigio, E. H., Mesulam, M. M., Khoury, J. B. E., & Geula, C. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160394 · Cited by 20 · see citing works

Molecular and cellular pathology of monogenic Alzheimer’s disease at single cell resolutionPreprint

Marinaro, F., Haneklaus, M., Zhang, Z., Strano, A., Evans, L., Handfield, L., Ryan, N. S., Fox, N. C., Hemberg, M., Ramanathan, S., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.14.202317 · Cited by 18 · see citing works

Integrated 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

Cellular and pathological functions of tau

Bravo, C. P., Naguib, S. A., & Gan, L. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00753-9 · Cited by 245 · see citing works

Microglia-astrocyte crosstalk in the amyloid plaque niche of an Alzheimer’s disease mouse model, as revealed by spatial transcriptomics

Mallach, A., Zielonka, M., van Lieshout, V., An, Y., Khoo, J. H., Vanheusden, M., Chen, W.-T., Moechars, D., Arancibia-Carcamo, I. L., Fiers, M., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114216 · Cited by 135 · see citing works

Molecular 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

Lithium deficiency and the onset of Alzheimer’s disease

Aron, L., Ngian, Z., Qiu, C., Choi, J., Liang, M., Drake, D., Hamplova, S. E., Lacey, E. K., Roche, P., Yuan, M., et al. (2025) · Nature · doi:10.1038/s41586-025-09335-x · Cited by 141 · see citing works

Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine

Duo, Y., Han, L., Yang, Y., Wang, Z., Wang, L., Chen, J., Xiang, Z., Yoon, J., Luo, G., & Tang, B. Z. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00244 · Cited by 119 · see citing works

Oligodendrocytes produce amyloid-β and contribute to plaque formation alongside neurons in Alzheimer’s disease model mice

Sasmita, A. O., Depp, C., Nazarenko, T., Sun, T., Siems, S. B., Ong, E. C., Nkeh, Y. B., Böhler, C., Yu, X., Bues, B., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01730-3 · Cited by 114 · see citing works

Microglia heterogeneity, modeling and cell-state annotation in development and neurodegeneration

Fumagalli, L., Nazlie Mohebiany, A., Premereur, J., Polanco Miquel, P., Bijnens, B., Van de Walle, P., Fattorelli, N., & Mancuso, R. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01931-4 · Cited by 90 · see citing works

Epilepsy and epileptiform activity in late-onset Alzheimer disease: clinical and pathophysiological advances, gaps and conundrums

Kamondi, A., Grigg-Damberger, M. M., Löscher, W., Tanila, H., & Horvath, A. A. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-00932-4 · Cited by 102 · see citing works

snRNA-seq stratifies multiple sclerosis patients into distinct white matter glial responses

Macnair, W., Calini, D., Agirre, E., Bryois, J., Jäkel, S., Smith, R. S., Kukanja, P., Stokar-Regenscheit, N., Ott, V., Foo, L. C., et al. (2025) · Neuron · doi:10.1016/j.neuron.2024.11.016 · Cited by 88 · see citing works

Oligodendrocytes in Alzheimer’s disease pathophysiology

Kedia, S., & Simons, M. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01873-x · Cited by 86 · see citing works

Microglia transcriptional states and their functional significance: Context drives diversity

Depp, C., Doman, J. L., Hingerl, M., Xia, J., & Stevens, B. (2025) · Immunity · doi:10.1016/j.immuni.2025.04.009 · Cited by 81 · see citing works

White matter injury across neurodegenerative disease

Festa, L. K., Grinspan, J. B., & Jordan‐Sciutto, K. L. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.11.003 · Cited by 71 · see citing works

The necroptosis cell death pathway drives neurodegeneration in Alzheimer’s disease

Balusu, S., & Strooper, B. D. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02747-5 · Cited by 73 · 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

Single-cell multiregion epigenomic rewiring in Alzheimer’s disease progression and cognitive resilience

Liu, Z., Zhang, S., James, B. T., Galani, K., Mangan, R. J., Fass, S. B., Liang, C., Wagle, M. M., Boix, C. A., Tanigawa, Y., et al. (2025) · Cell · doi:10.1016/j.cell.2025.06.031 · Cited by 65 · see citing works

Selective suppression of oligodendrocyte-derived amyloid beta rescues neuronal dysfunction in Alzheimer’s disease

Rajani, R. M., Ellingford, R., Hellmuth, M., Harris, S. S., Taso, O. S., Graykowski, D., Lam, F. K. W., Arber, C., Fertan, E., Danial, J. S. H., et al. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002727 · Cited by 57 · see citing works

Characterisation of premature cell senescence in Alzheimer's disease using single nuclear transcriptomics

Fancy, N. N., Smith, A. M., Caramello, A., Tsartsalis, S., Davey, K., Muirhead, R. C. J., McGarry, A., Jenkyns, M. H., Schneegans, E., Chau, V., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02727-9 · Cited by 48 · see citing works

CSMD1 regulates brain complement activity and circuit development

Baum, M. L., Wilton, D. K., Fox, R. G., Carey, A. E., Hsu, Y.-H. H., Hu, R., Jäntti, H., Fahey, J. B., Muthukumar, A. K., Salla, N., et al. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.03.041 · Cited by 49 · see citing works

Thyroid hormone remodels cortex to coordinate body-wide metabolism and exploration

Hochbaum, D. R., Hulshof, L., Urke, A., Wang, W., Dubinsky, A. C., Farnsworth, H. C., Hakim, R., Lin, S., Kleinberg, G., Robertson, K., et al. (2024) · Cell · doi:10.1016/j.cell.2024.07.041 · Cited by 54 · see citing works

Lupus autoantibodies initiate neuroinflammation sustained by continuous HMGB1:RAGE signaling and reversed by increased LAIR-1 expression

Carroll, K. R., Mizrachi, M., Simmons, S., Toz, B., Kowal, C., Wingard, J., Tehrani, N., Zarfeshani, A., Kello, N., Khoury, L. E., et al. (2024) · Nature Immunology · doi:10.1038/s41590-024-01772-6 · Cited by 36 · see citing works

Protracted neuronal recruitment in the temporal lobes of young children

Nascimento, M. A., Biagiotti, S. W., Herranz‐Pérez, V., Santiago, S., Bueno, R., Ye, C., Abel, T. J., Zhang, Z., Rubio-Moll, J. S., Kriegstein, A. R., et al. (2023) · Nature · doi:10.1038/s41586-023-06981-x · Cited by 38 · see citing works

An integrated view of the relationships between amyloid, tau, and inflammatory pathophysiology in Alzheimer's disease

Arnsten, 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

The Neurolipid Atlas: a lipidomics resource for neurodegenerative diseases

Feringa, F. M., Koppes-den Hertog, S. J., Wang, L. Y., Derks, R. J. E., Kruijff, I., Erlebach, L., Heijneman, J., Miramontes, R., Pömpner, N., Blomberg, N., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01365-z · Cited by 56 · see citing works

Molecular pathways and diagnosis in spatially resolved Alzheimer’s hippocampal atlas

Wang, P., Han, L., Wang, L., Tao, Q., Guo, Z., Luo, T., He, Y., Xu, Z. P., Yu, J., Liu, Y., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.03.002 · Cited by 34 · see citing works

Single-nucleus RNA sequencing demonstrates an autosomal dominant Alzheimer’s disease profile and possible mechanisms of disease protection

Almeida, M. C., Eger, S. J., He, C., Audouard, M., Nikitina, A. A., Glasauer, S. M. K., Han, D., Mejía‐Cupajita, B., Acosta‐Uribe, J., Villalba‐Moreno, N. D., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.02.009 · Cited by 28 · see citing works

CRISPRi-based screens in iAssembloids to elucidate neuron-glia interactions

Li, E., Benitez, C., Boggess, S. C., Koontz, M., Rose, I. V. L., Martinez, D., Dräger, N. M., Teter, O. M., Samelson, A. J., Pierce, N., et al. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.016 · Cited by 35 · see citing works

A dynamic and multimodal framework to define microglial states

Sankowski, R., & Prinz, M. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01978-3 · Cited by 29 · see citing works

Alzheimer’s Disease: Models and Molecular Mechanisms Informing Disease and Treatments

Nystuen, K., McNamee, S. M., Akula, M., Holton, K. M., DeAngelis, M. M., & Haider, N. B. (2024) · Bioengineering · doi:10.3390/bioengineering11010045 · Cited by 27 · see citing works

Stimulating myelin restoration with BDNF: a promising therapeutic approach for Alzheimer's disease

Zota, I., Chanoumidou, K., Gravanis, A., & Charalampopoulos, I. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1422130 · Cited by 23 · see citing works

Physical Exercise Counteracts Aging-Associated White Matter Demyelination Causing Cognitive Decline

Butt, T. H., Tobiume, M., Ré, D. B., & Kariya, S. (2024) · Aging and Disease · doi:10.14336/ad.2024.0216 · Cited by 23 · see citing works

Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer’s disease continuum

Wen, J., Yang, Z., Nasrallah, I. M., Cui, Y., Erus, G., Srinivasan, D., Abdulkadir, A., Mamourian, E., Skampardoni, I., Hwang, G., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03121-5 · Cited by 30 · see citing works

Applying single-cell and single-nucleus genomics to studies of cellular heterogeneity and cell fate transitions in the nervous system

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

Single‐Cell Patch‐Clamp/Proteomics of Human Alzheimer's Disease iPSC‐Derived Excitatory Neurons Versus Isogenic Wild‐Type Controls Suggests Novel Causation and Therapeutic Targets

Ghatak, S., Diedrich, J. K., Talantova, M. V., Bhadra, N., Scott, H. R., Sharma, M., Albertolle, M. E., Schork, N. J., Yates, J. R., & Lipton, S. A. (2024) · Advanced Science · doi:10.1002/advs.202400545 · Cited by 22 · see citing works

Biomechanical instability of the brain–CSF interface in hydrocephalus

Duy, P. Q., Mehta, N. H., & Kahle, K. T. (2024) · Brain · doi:10.1093/brain/awae155 · Cited by 23 · see citing works

Selectively vulnerable deep cortical layer 5/6 fast-spiking interneurons in Alzheimer’s disease models in vivo

Papanikolaou, A., Graykowski, D. R., Lee, B. I., Yang, M., Ellingford, R. A., Zünkler, J., Bond, S. A., Rowland, J. M., Rajani, R. M., Harris, S., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.04.010 · Cited by 22 · see citing works

The Neurolipid Atlas: a lipidomics resource for neurodegenerative diseases uncovers cholesterol as a regulator of astrocyte reactivity impaired by ApoE4Preprint

Feringa, F. M., Hertog, S. K.-D., Wang, L. Y., Derks, R. J. E., Kruijff, I. D., Erlebach, L., Heijneman, J., Miramontes, R., Pömpner, N., Blomberg, N., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.01.601474 · Cited by 21 · see citing works

Identification of early Alzheimer’s disease subclass and signature genes based on PANoptosis genes

Wang, W., Lu, J., Pan, N., Zhang, H., Dai, J., Li, J. P., Chi, C., Zhang, L., Wang, L., & Zhang, M. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1462003 · Cited by 21 · see citing works

Molecular 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

Ultra-high gradient connectomics and microstructure MRI scanner for imaging of human brain circuits across scales

Ramos‐Llordén, G., Lee, H., Davids, M., Dietz, P., Krug, A., KIRSCH, J. E., Mahmutović, M., Scholz, A., Ma, Y., Lee, H., et al. (2025) · Nature Biomedical Engineering · doi:10.1038/s41551-025-01457-x · Cited by 21 · 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

A single-cell atlas to map sex-specific gene-expression changes in blood upon neurodegeneration

Grandke, F., Fehlmann, T., Kern, F., Gate, D., Wolff, T. W., Leventhal, O., Channappa, D., Hirsch, P., Wilson, E. N., Meese, E. U., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-56833-7 · Cited by 17 · see citing works

Mechanism of cytarabine-induced neurotoxicity

Liu, J., Wang, D., Callén, E., Chen, C., Noriega, S., Shang, Y., Schürmann, D., Song, Y., Ramadoss, G. N., Chari, R., et al. (2025) · Nature · doi:10.1038/s41586-025-09210-9 · Cited by 17 · see citing works

Epigenetics in Neurodegenerative Diseases

van Zundert, B., & Montecino, M. A. (2025) · Sub-cellular biochemistry/Subcellular biochemistry · doi:10.1007/978-3-031-75980-2_3 · Cited by 18 · see citing works

Effect of a 12-mo intervention with whey protein powder on cognitive function in older adults with mild cognitive impairment: a randomized controlled trial

Li, F., He, R., Yue, Z., Yi, H., Lu, L., Zhang, L., Shi, J., Zheng, C. Y., Jiao, J., Peng, J., et al. (2024) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2024.11.019 · Cited by 16 · see citing works

Sex and region-specific disruption of autophagy and mitophagy in Alzheimer’s disease: linking cellular dysfunction to cognitive decline

Adlimoghaddam, A., Fayazbakhsh, F., Mohammadi, M., Babaei, Z., Behrooz, A. B., Tabasi, F., Guan, T., Beheshti, I., Aghaei, M., Klionsky, D. J., et al. (2025) · Cell Death Discovery · doi:10.1038/s41420-025-02490-0 · Cited by 17 · see citing works

Deciphering glial contributions to CSF1R-related disorder via single-nuclear transcriptomic profiling: a case study

Pan, J., Forés-Martos, J., Nouh, C. D., Jensen, T. D., Vallejo, K., Cayrol, R., Ahmadian, S. S., Ashley, E. A., Greicius, M. D., & Cobos, I. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01853-5 · Cited by 15 · see citing works

Human longevity and Alzheimer’s disease variants act via microglia and oligodendrocyte gene networks

Graham, A. C., Bellou, E., Harwood, J. C., Yaman, Ü., Celikag, M., Magusali, N., Rambarack, N., Botía, J. A., Frigerio, C. S., Hardy, J., et al. (2024) · Brain · doi:10.1093/brain/awae339 · Cited by 18 · see citing works

Resilience to Alzheimer's disease associates with alterations in perineuronal nets

de Vries, L. E., Bahnerth, A., Swaab, D. F., Verhaagen, J., & Carulli, D. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14504 · Cited by 14 · see citing works

Integrated dopamine sensing and 40 Hz hippocampal stimulation improves cognitive performance in Alzheimer’s mouse models

Lv, S., Mo, F., Xu, Z., Wang, Y., Liu, Y., Han, M., Duan, Y., Jing, L., Kong, F., Jia, Q., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-60903-1 · Cited by 16 · see citing works

A systems approach uncovers drivers of the multifocal emergence of an astrocyte state contributing to cognitive decline in Alzheimer’s diseasePreprint

Comandante-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

Decoding Alzheimer’s Disease: Single-Cell Sequencing Uncovers Brain Cell Heterogeneity and Pathogenesis

Ma, Y., Xia, Y., Karako, K., Song, P., Tang, W., & Hu, X. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-04997-0 · Cited by 13 · see citing works

Switch of innate to adaptative immune responses in the brain of patients with Alzheimer’s disease correlates with tauopathy progression

Costa, M. R. (2024) · npj Aging · doi:10.1038/s41514-024-00145-5 · Cited by 13 · see citing works

Decoding microglial functions in Alzheimer’s disease: insights from human models

Rao, C., Semrau, S., & Fossati, V. (2025) · Trends in Immunology · doi:10.1016/j.it.2025.02.011 · Cited by 13 · see citing works

The AD odyssey 2023: Tales of single cell

Luo, W., Qu, W., & Gan, L. (2023) · Cell · doi:10.1016/j.cell.2023.09.001 · Cited by 14 · see citing works

A factor-based analysis of individual human microglia uncovers regulators of an Alzheimer-related transcriptional signaturePreprint

Marshe, V. S., Tuddenham, J. F., Chen, K. W., Chiu, R., Haage, V. C., Ma, Y., Lee, A., Shneider, N. A., Agin‐Liebes, J., Alcalay, R. N., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.27.641500 · Cited by 16 · see citing works

Spatiotemporal Dynamics of Central Nervous System Diseases: Advancing Translational Neuropathology via Single‐Cell and Spatial Multiomics

Xia, M., Liu, Q., Zhang, W., Ge, J., & Mei, Z. (2025) · MedComm · doi:10.1002/mco2.70328 · Cited by 14 · see citing works

Human microglial transitions at the Aβ–tau inflection point associate with divergent pathways to dementia and resilience

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

Xenografted human iPSC-derived neurons with the familial Alzheimer’s disease APPV717I mutation reveal dysregulated transcriptome signatures linked to synaptic function and implicate LINGO2 as a disease signaling mediator

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

Cognitive 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

Excessive Alcohol Use as a Risk Factor for Alzheimer’s Disease: Epidemiological and Preclinical Evidence

Anton, P. E., Maphis, N. M., Linsenbardt, D. N., & Coleman, L. G. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-81908-7_10 · Cited by 12 · see citing works

Brief sleep disruption alters synaptic structures among hippocampal and neocortical somatostatin-expressing interneurons

Raven, F., Vega-Medina, A., Schmidt, K., He, A., Vankampen, A. A., Balendran, V., & Aton, S. J. (2025) · SLEEP · doi:10.1093/sleep/zsaf064 · Cited by 11 · see citing works

Should We Consider Neurodegeneration by Itself or in a Triangulation with Neuroinflammation and Demyelination? The Example of Multiple Sclerosis and Beyond

Perdaens, O., & Pesch, V. V. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312637 · Cited by 11 · see citing works

HDAC Inhibitors recapitulate Human Disease-Associated Microglia Signatures in vitro

Haage, V. C., Tuddenham, J. F., Bautista, A. R., Garcia, F. G., White, C. C., Patel, R., Comandante-Lou, N., Marshe, V. S., Griffin, J. K., Zhou, Y., et al. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2025.05.027 · Cited by 20 · see citing works

Genetic, Clinical Underpinnings of Brain Change Along Two Neuroanatomical Dimensions of Clinically-defined Alzheimer’s DiseasePreprint

Wen, J., Yang, Z., Nasrallah, I. M., Cui, Y., Erus, G., Srinivasan, D., Abdulkadir, A., Mamourian, E., Skampardoni, I., Hwang, G., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.16.508329 · Cited by 12 · see citing works

Are oligodendrocytes the missing link in Alzheimer’s disease and related dementia research?

Rossi, S. L., & Bovenkamp, D. E. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00760-6 · Cited by 10 · see citing works

Recombinant neurotrophin-3 with the ability to penetrate the blood-brain barrier: A new strategy against Alzheimer's disease

Ding, X., Yang-Fan, Z. U. O., Liu, Z., Sun, Y., Wang, L., Xie, Y., Liu, G., & Liu, C. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.139359 · Cited by 10 · see citing works

Brain Connectivity, Neural Networks, and Resilience in Aging and Neurodegeneration

Szczupak, D., Brinson, L. L., & Kolarcik, C. L. (2025) · American Journal Of Pathology · doi:10.1016/j.ajpath.2024.12.014 · Cited by 10 · see citing works

Cell-death pathways and tau-associated neuronal vulnerability in Alzheimer’s disease

Lin, G., Chancellor, S. E., Kwon, T., Woodbury, M. E., Doering, A., Abdourahman, A., Bennett, R. E., Liao, F., Pastika, T., Tamm, J. A., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115758 · Cited by 13 · see citing works

Characterizing cell type specific transcriptional differences between the living and postmortem human brainPreprint

Vornholt, E., Liharska, L. E., Cheng, E., Hashemi, A., Park, Y. J., Ziafat, K., Wilkins, L., Silk, H., Linares, L. M., Thompson, R. C., et al. (2024) · medRxiv · doi:10.1101/2024.05.01.24306590 · Cited by 10 · see citing works

Single-cell investigation of lead toxicity from neurodevelopment to neurodegeneration: Current review and future opportunities

Sampson, M. M., Morgan, R. K., Sloan, S. A., & Bakulski, K. M. (2024) · Current Opinion in Toxicology · doi:10.1016/j.cotox.2024.100464 · Cited by 10 · see citing works

Remember oligodendrocytes: Uncovering their overlooked role in Alzheimer’s disease

Spieth, L., & Simons, M. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002798 · Cited by 8 · see citing works

Shenghui decoction inhibits neuronal cell apoptosis to improve Alzheimer's disease through the PDE4B/cAMP/CREB signaling pathway

Gao, G., Zhang, X., Cui, Z.-H., Fan, M., Yan, Y., Huang, Y., Shi, Y., Ma, H., Wang, Z., Su, Y., et al. (2025) · Phytomedicine · doi:10.1016/j.phymed.2025.156366 · Cited by 9 · see citing works

Is age-related myelinodegenerative change an initial risk factor of neurodegenerative diseases?

Wu, S., & Chen, J. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-00848 · Cited by 9 · see citing works

Single-nucleus multi-omics identifies shared and distinct pathways in Pick’s and Alzheimer’s disease

Shi, Z., Das, S., Morabito, S., Stocksdale, J. T., Miyoshi, E., Srinivasan, S. S., Emerson, N., Shahin, A., Rahimzadeh, N., Cao, Z., et al. (2025) · Science Advances · doi:10.1126/sciadv.ads7973 · Cited by 8 · see citing works

Mechanisms of increased Alzheimer’s disease pathology with R47H and R62H TREM2 variants

Fancy, N. N., Willumsen, N., Chau, V. M. N., Boulger, S. L., Whitwell, H. J., Wang, W., Avot, B., Thomas, M., Talbot-Martin, J., Tsartsalis, S., et al. (2026) · Acta Neuropathologica · doi:10.1007/s00401-026-03036-z · Cited by 8 · see citing works

Impairment of hippocampal astrocyte-mediated striatal dopamine release and locomotion in Alzheimer's disease

Tournier, B. B., Ceyzériat, K., Badina, A. M., Gloria, Y., Fall, A. B., Amossé, Q., Tsartsalis, S., & Millet, P. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120778 · Cited by 8 · see citing works

Genetics and molecular pathophysiology of normal pressure hydrocephalus

Mehta, N. H., Maury, E. A., Buller, Z., Duy, P. Q., Fortes, C., Alper, S. L., Erson-Omay, Z., & Kahle, K. T. (2024) · Journal of neurosurgery · doi:10.3171/2024.5.jns24980 · Cited by 9 · see citing works

Amyloid‐β Dysregulates Oligodendroglial Lineage Cell Dynamics and Myelination via PKC in the Zebrafish Spinal Cord

Balantzategi, U., Gaminde‐Blasco, A., Kearns, C. A., Bayón‐Cordero, L., Sánchez‐Gómez, M. V., Zugaza, J. L., Appel, B., & Alberdi, E. M. (2025) · Glia · doi:10.1002/glia.70015 · Cited by 8 · see citing works

High throughput identification of genetic regulators of microglial inflammatory processes in Alzheimer's disease

Cardona, C. L., Wei, L., Kim, J., Angeles, E., Singh, G., Chen, S., Patel, R., Ifediora, N., Canoll, P., Teich, A. F., et al. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03562-9 · Cited by 8 · see citing works

Autophagy Activators Normalize Aberrant Tau Proteostasis and Rescue Synapses in Human Familial Alzheimer's Disease iPSC‐Derived Cortical Organoids

Labra, S. R., Compher, J., Prabhavalkar, A., Almaraz, M., Kwong, C. C., Baal, C., Talantova, M. V., Dolatabadi, N., Piña‐Sanz, J., Wang, Y., et al. (2026) · Advanced Science · doi:10.1002/advs.202514783 · Cited by 8 · see citing works

RNA Isoform Diversity in Human Neurodegenerative Diseases

Liu, C. S., Park, C. Y., Ngo, T., Saikumar, J., Palmer, C. R., Shahnaee, A., Romanow, W. J., & Chun, J. J. M. (2024) · eNeuro · doi:10.1523/eneuro.0296-24.2024 · Cited by 8 · see citing works

HDAC Inhibitors recapitulate Human Disease-Associated Microglia Signatures in vitroPreprint

Haage, V. C., Tuddenham, J. F., Bautista, A. R., White, C. C., Garcia, F. G., Patel, R., Comandante-Lou, N., Marshe, V. S., Soni, R. K., Sims, P. A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.11.617544 · Cited by 8 · see citing works

Non-invasive in vivo imaging of brain and retinal microglia in neurodegenerative diseases

Etebar, F., Harkin, D. G., White, A. R., & Dando, S. J. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1355557 · Cited by 7 · see citing works

Single-nucleus transcriptome atlas of the basal forebrain reveals diverse ageing-related pathways

Chen, J., Li, Q., Ji, B., Zhang, K., Ren, M., Li, A., Gong, H., Wang, J., Cao, G., Luo, Q., et al. (2025) · Brain · doi:10.1093/brain/awaf060 · Cited by 7 · see citing works

Dysregulated calcium signaling in the aged primate association cortices: vulnerability to Alzheimer’s disease neuropathology

Arnsten, A. F. T., Perone, I., Wang, M., Yang, S., Uchendu, S., Bolat, D., & Datta, D. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1610350 · Cited by 7 · see citing works

Multi-region spatial transcriptomics reveals region specific differences in response to amyloid beta (Aβ) plaque induced changes in Alzheimer’s disease (AD)

Bayaraa, O., Aksu, M., DeBose-Scarlett, E. M., Hocke, E., Jain, V. K., Wang, S. J., Cruz, D. A., & Gregory, S. G. (2025) · Human Genomics · doi:10.1186/s40246-025-00875-x · Cited by 8 · see citing works

Cytokine-induced reprogramming of human macrophages toward Alzheimer’s disease-relevant molecular and cellular phenotypes in vitro

Podlesny‐Drabiniok, A., Romero‐Molina, C., Patel, T., See, W. Y., Liu, Y., Marcora, E. M., & Goate, A. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115909 · Cited by 7 · see citing works

Reduced triacylglycerols and lipid droplets are associated with resilience to Alzheimer's disease

van der Vliet, D., de Vries, L. E., Di, X., Wever, D. D., de Jong, B., van der Meij, M. T. C., van der Peet, M., Harms, A. C., Hankemeier, T., Swaab, D. F., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71083 · Cited by 6 · see citing works

Axonopathy: mechanisms and potential therapeutic targets for neurodegenerative diseases

Shen, R., Sung, K., Ding, J., & Wu, C. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00543-7 · Cited by 6 · see citing works

Integrative network analysis reveals novel moderators of Aβ-Tau interaction in Alzheimer's disease

Kitani, A., Matsui, Y., & Initiative, F. T. A. D. N. (2025) · Alzheimer's Research & Therapy · doi:10.1186/s13195-025-01705-x · Cited by 6 · see citing works

Alzheimer's disease CSF biomarkers correlate with early pathology and alterations in neuronal and glial gene expression

Ropri, A. S., Lam, T. G., Kalia, V., Buchanan, H. M., Bartosch, A. M. W., Youth, E. H. H., Xiao, H., Ross, S. K., Jain, A., Chakrabarty, J. K., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14194 · Cited by 5 · see citing works

CRISPRi-based screens in iAssembloids to elucidate neuron-glia interactionsPreprint

Li, E., Benitez, C., Boggess, S. C., Koontz, M., Rose, I. V. L., Martinez, D., Dräger, N. M., Teter, O. M., Samelson, A. J., Pierce, N., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.26.538498 · Cited by 6 · see citing works

Deciphering the functional impact of Alzheimer’s Disease-associated variants in resting and proinflammatory immune cellsPreprint

Bond, M. L., Quiroga, I. Y., D’Costa, S., Wu, Y., Bell, J. L., McAfee, J. C., Kramer, N. E., Lee, S., Patrucco, M., Phanstiel, D. H., et al. (2024) · medRxiv · doi:10.1101/2024.09.13.24313654 · Cited by 5 · see citing works

Spatiotemporal Analysis of Remyelination Reveals a Concerted Interferon-Responsive Glial State That Coordinates Immune InfiltrationPreprint

Dolan, M.-J., Rakosi-Schmidt, R., Garcia, E., Lin, Y., Nadaf, N. M., Dixon, J., Guo, S., Morshed, N., Depp, C., Doman, J. L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.22.649486 · Cited by 6 · see citing works

Disruption of hnRNP A2-mediated RNA dynamics by amyloid-β drives MBP increase in Alzheimer’s disease

Gaminde‐Blasco, A., Senovilla-Ganzo, R., Balantzategi, U., Martinez-Preciado, M., Capetillo‐Zarate, E., García‐Moreno, F., Matute, C., Baleriola, J., & Alberdi, E. M. (2025) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-025-05823-5 · Cited by 5 · see citing works

The m6A Modification in Neurodegenerative Disease: A Cellular Perspective

Wang, S., Feng, Z., Wu, H., Wang, S., Qin, S., Wang, X., Zhou, F., Zheng, K., Huang, X., & Liu, X. (2025) · Cells · doi:10.3390/cells14221820 · Cited by 6 · see citing works

Mapping multipathology via spatial omic integration

Palaganas, R. G., Sidiropoulos, D. N., Morris, M., & Stein-O’Brien, G. (2025) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2025.103398 · Cited by 6 · see citing works

Maintaining and regaining episodic memory in Alzheimer disease: a circuit-based perspective

Düzel, E., & Kreutz, M. R. (2026) · Nature Reviews Neurology · doi:10.1038/s41582-026-01189-9 · Cited by 8 · see citing works

Progranulin deficiency-induced lysosomal dysfunction drives maladaptive myeloid cell states through the MITF/TFE transcription factors

Tejwani, L., Heffner, C. M., Balak, C. D., Skuja, L. L., Tatarakis, D., Rana, A., Yu, S. B., Fitzgerald, G. A., Ha, C., de Melo, G. L., et al. (2026) · Immunity · doi:10.1016/j.immuni.2026.07.009 · Cited by 7 · see citing works

Early Alzheimer’s disease pathology in human cortex is associated with a transient phase of distinct cell statesPreprint

Gazestani, V., Kamath, T., Nadaf, N. M., Burris, S. J., Rooney, B., Junkkari, A., Vanderburg, C. R., Rauramaa, T. H., Therrien, M., Tegtmeyer, M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.03.543569 · Cited by 9 · see citing works

Molecular and cellular responses to amyloid beta revealed from single cell analysis of surgical brain biopsies

Kamath, T., Gazestani, V., Dolan, M.-J., Nadaf, N. M., Vanderburg, C. R., Leinonen, V., & Macosko, E. Z. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.062241

Population-specific transcriptional-state remodeling of cortical and hypothalamic neurons in Alzheimer’s diseasePreprint

Sejer, S., Pedersen, M. M., Lundby, J. M. B., de Jong, N., & Kim, D. W. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.15.745006

P3‐319: Elevated expression of cell cycle proteins in very early stages of Alzheimer's disease

Troncoso, J. C., Riudavets, M. A., Schultz, M., Sevlever, G. E., Rudow, G. L., Pletniková, O., Resnick, S. M., Zonderman, A. B., An, Y., & O’Brien, R. (2008) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2008.05.1888

Microglial responses in the human Alzheimer’s disease frontal cortex

Mejias‐Ortega, M., Sánchez‐Mejías, E., Navarro, V., Nuñez‐Diaz, C., Gómez-Arboledas, Á., Sanchez-Varo, R. M., Vizuete, M., Dávila, J. C., Vitórica, J., & Gutierrez-Perez, A. (2019) · Repositorio Institucional de la Universidad de Málaga (University of Málaga)