A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes
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Abstract
Environmental cues influence the highly dynamic morphology of microglia. Strategies to characterize these changes usually involve user-selected morphometric features, which preclude the identification of a spectrum of context-dependent morphological phenotypes. Here we develop MorphOMICs, a topological data analysis approach, which enables semiautomatic mapping of microglial morphology into an atlas of cue-dependent phenotypes and overcomes feature-selection biases and biological variability. We extract spatially heterogeneous and sexually dimorphic morphological phenotypes for seven adult mouse brain regions. This sex-specific phenotype declines with maturation but increases over the disease trajectories in two neurodegeneration mouse models, with females showing a faster morphological shift in affected brain regions. Remarkably, microglia morphologies reflect an adaptation upon repeated exposure to ketamine anesthesia and do not recover to control morphologies. Finally, we demonstrate that both long primary processes and short terminal processes provide distinct insights to morphological phenotypes. MorphOMICs opens a new perspective to characterize microglial morphology.
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Cells portraying smaller cellular somas in addition to extensive and well-branched processes are usually linked to a surveillant state of microglia, whereas the shrinkage of processes and bigger somas are usually linked to reactive states.
“Cells portraying smaller cellular somas in addition to extensive and well-branched processes are usually linked to a surveillant state of microglia, whereas the shrinkage of processes and bigger somas are usually linked to reactive states [83–86].”
From Sex chromosomes and sex hormones differently shape microglial properties during normal physiological conditions in the adult mouse hippocampus (2025) · cites this paper as [84]
The Discussion (page unavailable) links ramified microglia with surveillance, and the Results section on 5xFAD (page unavailable) reports loss of high-level branches in disease-associated microglia. The paper does not establish the claimed smaller-versus-bigger soma sizes or a general rule that reactive microglia have shrunken processes. (LLM, conf=0.85)
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Cites
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
Shrestha, S., & Offer, S. M. (2016) · Medical Epigenetics · doi:10.1159/000444713 · Cited by 8,949 · see citing works
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314 · see citing works
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
McInnes, L., Healy, J., & Melville, J. (2018) · arXiv · doi:10.48550/arxiv.1802.03426 · Cited by 7,101 · see citing works
Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo
Nimmerjahn, A., Kirchhoff, F., & Helmchen, F. (2005) · Science · doi:10.1126/science.1110647 · Cited by 5,827 · see citing works
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572 · see citing works
Fate Mapping Analysis Reveals That Adult Microglia Derive from Primitive Macrophages
Ginhoux, F., Greter, M., Leboeuf, M., Nandi, S., See, P., Gokhan, S., Mehler, M. F., Conway, S. J., Ng, L. G., Stanley, E. R., et al. (2010) · Science · doi:10.1126/science.1194637 · Cited by 5,175 · see citing works
The single-cell transcriptional landscape of mammalian organogenesis
Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D. M., Hill, A. J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0969-x · Cited by 4,490 · see citing works
Synaptic Pruning by Microglia Is Necessary for Normal Brain Development
Paolicelli, R. C., Bolasco, G., Pagani, F., Maggi, L., Scianni, M., Panzanelli, P., Giustetto, M., Ferreira, T. A., Guiducci, E., Dumas, L., et al. (2011) · Science · doi:10.1126/science.1202529 · Cited by 4,244 · see citing works
Host microbiota constantly control maturation and function of microglia in the CNS
Erny, D., Hrabě de Angelis, A. L., Jaitin, D., Wieghofer, P., Staszewski, O., David, E., Keren-Shaul, H., Mahlakoiv, T., Jakobshagen, K., Buch, T., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4030 · Cited by 3,569 · see citing works
Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530 · see citing works
Neuropathological alterations in Alzheimer disease
Serrano-Pozo, A., Frosch, M. P., Masliah, E., & Hyman, B. T. (2011) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006189 · Cited by 3,345 · see citing works
Excitatory actions of gaba during development: the nature of the nurture
Ben-Ari, Y. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn920 · Cited by 2,448 · see citing works
Synapse loss in frontal cortex biopsies in Alzheimer's disease: Correlation with cognitive severity
DeKosky, S. T., & Scheff, S. W. (1990) · Annals of Neurology · doi:10.1002/ana.410270502 · Cited by 2,376 · see citing works
Carlsson, G. (2009) · Bulletin of the American Mathematical Society · doi:10.1090/s0273-0979-09-01249-x · Cited by 2,302 · see citing works
Dendritic organization in the neurons of the visual and motor cortices of the cat.
Sholl, D. A. (1953) · Europe PMC (PubMed Central) · Cited by 2,204 · see citing works
Heterogeneity in the distribution and morphology of microglia in the normal adult mouse brain
Lawson, L. J., Perry, V. H., Dri, P., & Gordon, S. (1990) · Neuroscience · doi:10.1016/0306-4522(90)90229-w · Cited by 2,045 · see citing works
Feiner, N., Motone, F., Meyer, A., & Kuraku, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-40055-1 · Cited by 1,988 · see citing works
Microglia-specific localisation of a novel calcium binding protein, Iba1
Ito, D., Imai, Y., Ohsawa, K., Nakajima, K., Fukuuchi, Y., & Kohsaka, S. (1998) · Molecular Brain Research · doi:10.1016/s0169-328x(98)00040-0 · Cited by 1,476 · see citing works
GARCÍA-ALONSO, C. R., Pérez, L. M., & Fernández, J. C. F. (2011) · Annals of Operations Research · doi:10.1007/s10479-011-0841-3 · Cited by 1,357 · see citing works
Limb proportions show developmental plasticity in response to embryo movement
Pollard, A., Charlton, B., Hutchinson, J. R., Gustafsson, T., McGonnell, I., Timmons, J., & Pitsillides, A. (2017) · Scientific Reports · doi:10.1038/srep41926 · Cited by 1,188 · see citing works
Zarow, C., Lyness, S. A., Mortimer, J. A., & Chui, H. C. (2003) · Archives of Neurology · doi:10.1001/archneur.60.3.337 · Cited by 1,003 · see citing works
The Role of Microglia in the Healthy Brain: Figure 1.
Tremblay, M.-È., Stevens, B., Sierra, A., Wake, H., Bessis, A., & Nimmerjahn, A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4158-11.2011 · Cited by 992 · see citing works
MICROGLIA AS MEDIATORS OF INFLAMMATORY AND DEGENERATIVE DISEASES
González-Scarano, F., & Baltuch, G. (1999) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.22.1.219 · Cited by 984 · see citing works
Principles of connectivity among morphologically defined cell types in adult neocortex
Jiang, X., Shen, S., Cadwell, C. R., Berens, P., Sinz, F., Ecker, A. S., Patel, S., & Tolias, A. S. (2015) · Science · doi:10.1126/science.aac9462 · Cited by 908 · see citing works
Origin and differentiation of microglia
Ginhoux, F., Lim, S., Hoeffel, G., Low, D., & Huber, T. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00045 · Cited by 905 · see citing works
Characterization of cell fate probabilities in single-cell data with Palantir
Setty, M., Kiseliovas, V., Levine, J., Gayoso, A., Mazutis, L., & Pe’er, D. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0068-4 · Cited by 833 · see citing works
Microbiome Influences Prenatal and Adult Microglia in a Sex-Specific Manner
Thion, M. S., Low, D., Silvin, A., Chen, J., Grisel, P., Schulte-Schrepping, J., Blecher, R., Ulas, T., Squarzoni, P., Hoeffel, G., et al. (2018) · Cell · doi:10.1016/j.cell.2017.11.042 · Cited by 779 · see citing works
Assessing Reproductive Status/Stages in Mice
Caligioni, C. S. (2009) · Current Protocols in Neuroscience · doi:10.1002/0471142301.nsa04is48 · Cited by 775 · see citing works
CD68/macrosialin: not just a histochemical marker
Chistiakov, D. A., Killingsworth, M., Myasoedova, V. A., Orekhov, A. N., & Bobryshev, Y. V. (2016) · Laboratory Investigation · doi:10.1038/labinvest.2016.116 · Cited by 728 · see citing works
Sex differences in microglial colonization of the developing rat brain
Schwarz, J. M., Sholar, P. W., & Bilbo, S. D. (2012) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2011.07630.x · Cited by 672 · see citing works
Microglia: Dynamic Mediators of Synapse Development and Plasticity
Wu, Y., Dissing-Olesen, L., MacVicar, B. A., & Stevens, B. (2015) · Trends in Immunology · doi:10.1016/j.it.2015.08.008 · Cited by 661 · see citing works
Young, K., & Morrison, H. W. (2018) · Journal of Visualized Experiments · doi:10.3791/57648 · Cited by 660 · see citing works
Sex-specific features of microglia from adult mice
Villa, A., Gelosa, P., Castiglioni, L., Cimino, M., Rizzi, N., Pepe, G., Lolli, F., Marcello, E., Sironi, L., Vegeto, E., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.05.048 · Cited by 651 · see citing works
Cruz, J. C., Tseng, H.-C., Goldman, J. A., Shih, H., & Tsai, L.-H. (2003) · Neuron · doi:10.1016/s0896-6273(03)00627-5 · Cited by 609 · see citing works
Self-citationMapping hippocampal and ventricular change in Alzheimer disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G. I., Janke, A. L., Rose, S., Semple, J. M., Hong, M., Herman, D. H., Gravano, D. M., Doddrell, D. M., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.040 · Cited by 608 · see citing works
Pattern Discrimination and the Visual Cortex
Sholl, D. A., & Uttley, A. M. (1953) · Nature · doi:10.1038/171387a0 · Cited by 605 · see citing works
Microglial regional heterogeneity and its role in the brain
Tan, Y.-L., Yuan, Y., & Tian, L. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0609-8 · Cited by 571 · see citing works
Microglial subtypes: diversity within the microglial community
Stratoulias, V., Venero, J. L., Tremblay, M., & Joseph, B. (2019) · The EMBO Journal · doi:10.15252/embj.2019101997 · Cited by 536 · see citing works
Microglia Are Essential to Masculinization of Brain and Behavior
Lenz, K. M., Nugent, B. M., Haliyur, R., & McCarthy, M. M. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1268-12.2013 · Cited by 526 · see citing works
Persistence Images: A Stable Vector Representation of Persistent HomologyPreprint
Adams, H., Chepushtanova, S., Emerson, T., Hanson, E., Kirby, M. J. L., Motta, F. C., Neville, R., Peterson, C., Shipman, P. D., & Ziegelmeier, L. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1507.06217 · Cited by 517 · see citing works
Morrison, H. W., & Filosa, J. A. (2013) · Journal of Neuroinflammation · doi:10.1186/1742-2094-10-4 · Cited by 506 · see citing works
Epigenetic regulation of brain region-specific microglia clearance activity
Ayata, P., Badimon, A., Strasburger, H. J., Duff, M. K., Montgomery, S. E., Loh, Y.-H. E., Ebert, A., Pimenova, A. A., Ramirez, B. R., Chan, A. T., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0192-3 · Cited by 460 · see citing works
Classification of electrophysiological and morphological neuron types in the mouse visual cortex
Gouwens, N. W., Sorensen, S. A., Berg, J., Lee, C., Jarsky, T., Ting, J., Sunkin, S. M., Feng, D., Anastassiou, C. A., Barkan, E., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0417-0 · Cited by 456 · see citing works
Estrogens, Neuroinflammation, and Neurodegeneration
Villa, A., Vegeto, E., Poletti, A., & Maggi, A. (2016) · Endocrine Reviews · doi:10.1210/er.2016-1007 · Cited by 423 · see citing works
Fernández-Arjona, M. D. M., Grondona, J. M., Granados-Durán, P., Fernández-Llebrez, P., & López-Ávalos, M. D. (2017) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2017.00235 · Cited by 417 · see citing works
The emergent landscape of the mouse gut endoderm at single-cell resolution
Nowotschin, S., Setty, M., Kuo, Y.-Y., Liu, V., Garg, V., Sharma, R., Simon, C. S., Saiz, N., Gardner, R., Boutet, S. C., et al. (2019) · Nature · doi:10.1038/s41586-019-1127-1 · Cited by 383 · see citing works
Antiinflammatory Effects of Estrogen on Microglial Activation
Bruce‐Keller, A. J., Keeling, J. L., Keller, J. N., Huang, F. F., Camondola, S., & Mattson, M. P. (2000) · Endocrinology · doi:10.1210/endo.141.10.7693 · Cited by 374 · see citing works
Hippocampal volume as an index of Alzheimer neuropathology
Gosche, K. M., Mortimer, J. A., Smith, C. D., Markesbery, W. R., & Snowdon, D. A. (2002) · Neurology · doi:10.1212/wnl.58.10.1476 · Cited by 359 · see citing works
Scorcioni, R., Polavaram, S., & Ascoli, G. A. (2008) · Nature Protocols · doi:10.1038/nprot.2008.51 · Cited by 354 · see citing works
Mildner, A., Schlevogt, B., Kierdorf, K., Böttcher, C., Erny, D., Kummer, M. P., Quinn, M., Brück, W., Bechmann, I., Heneka, M. T., et al. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.6209-10.2011 · Cited by 351 · see citing works
The cerebellum in Alzheimer’s disease: evaluating its role in cognitive decline
Jacobs, H. I. L., Hopkins, D. A., Mayrhofer, H. C., Bruner, E., van Leeuwen, F. W., Raaijmakers, W., & Schmahmann, J. D. (2017) · Brain · doi:10.1093/brain/awx194 · Cited by 339 · see citing works
Epigenetic modifications in frontal cortex from Alzheimer's disease and bipolar disorder patients
Rao, J. S., Keleshian, V. L., Klein, S. L., & Рапопорт, С. И. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.55 · Cited by 305 · see citing works
Microglia in Alzheimer Disease: Well-Known Targets and New Opportunities
Hemonnot, A.-L., Hua, J., Ulmann, L., & Hirbec, H. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00233 · Cited by 298 · see citing works
Singh, N., Hopkins, S. J., Hulme, S., Galea, J. P., Hoadley, M. E., Vail, A., Hutchinson, P. J., Grainger, S., Rothwell, N. J., King, A. T., et al. (2014) · Journal of Neuroinflammation · doi:10.1186/1742-2094-11-1 · Cited by 284 · see citing works
A Starring Role for Microglia in Brain Sex Differences
Lenz, K. M., & McCarthy, M. M. (2015) · The Neuroscientist · doi:10.1177/1073858414536468 · Cited by 281 · see citing works
Fischer, A., Sananbenesi, F., Pang, P. T., Lu, B., & Tsai, L.-H. (2005) · Neuron · doi:10.1016/j.neuron.2005.10.033 · Cited by 277 · see citing works
Self-citationEstrogen accelerates the resolution of inflammation in macrophagic cells
Villa, A. M., Rizzi, N., Vegeto, E., Ciana, P., & Maggi, A. C. (2015) · Scientific Reports · doi:10.1038/srep15224 · Cited by 272 · see citing works
Bachstetter, A. D., Van Eldik, L. J., Schmitt, F. A., Neltner, J. H., Ighodaro, E. T., Webster, S. J., Patel, E., Abner, E. L., Kryscio, R. J., & Nelson, P. T. (2015) · Acta Neuropathologica Communications · doi:10.1186/s40478-015-0209-z · Cited by 258 · see citing works
Payami, H., Zareparsi, S., Montee, K. R., Sexton, G. J., Kaye, J. A., Bird, T. D., Yu, C. E., Wijsman, E. M., Heston, L. L., Litt, M. J., et al. (1996) · PubMed Central · Cited by 248 · see citing works
Bakkour, A., Morris, J. C., Wolk, D. A., & Dickerson, B. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.059 · Cited by 240 · see citing works
Uncovering sex differences of rodent microglia
Han, J., Fan, Y., Zhou, K., Blomgren, K., & Harris, R. A. (2021) · Journal of Neuroinflammation · doi:10.1186/s12974-021-02124-z · Cited by 224 · see citing works
Automated Morphological Analysis of Microglia After Stroke
Heindl, S., Gesierich, B. G., Benakis, C., Llovera, G., Duering, M., & Liesz, A. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00106 · Cited by 220 · see citing works
Kozlowski, C., & Weimer, R. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031814 · Cited by 218 · see citing works
Distribution of CaMKIIα expression in the brain in vivo, studied by CaMKIIα-GFP mice
Wang, X., Zhang, C., Szabó, G., & Sun, Q. (2013) · Brain Research · doi:10.1016/j.brainres.2013.04.042 · Cited by 206 · see citing works
Cell Death or Synaptic Loss in Alzheimer Disease
Terry, R. D. (2000) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/59.12.1118 · Cited by 200 · see citing works
p25/Cyclin-Dependent Kinase 5 Induces Production and Intraneuronal Accumulation of Amyloid βIn Vivo
Cruz, J. C., Kim, D., Moy, L. Y., Dobbin, M. M., Sun, X., Bronson, R. T., & Tsai, L. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3133-06.2006 · Cited by 197 · see citing works
Self-citationOlfactory bulb changes in Alzheimer's disease
Ohm, T. G., & Braak, H. (1987) · Acta Neuropathologica · doi:10.1007/bf00688261 · Cited by 191 · see citing works
Sex differences in microglial phagocytosis in the neonatal hippocampus
Nelson, L. H., Warden, S., & Lenz, K. M. (2017) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2017.03.010 · Cited by 189 · see citing works
Auditory system degeneration in Alzheimer's disease
Sinha, U. K., Hollen, K. M., Rodriguez, R., & Miller, C. A. (1993) · Neurology · doi:10.1212/wnl.43.4.779 · Cited by 184 · see citing works
A Topological Representation of Branching Neuronal Morphologies
Kanari, L., Dłotko, P., Scolamiero, M., Levi, R., Shillcock, J. C., Hess, K. P., & Markram, H. (2017) · Neuroinformatics · doi:10.1007/s12021-017-9341-1 · Cited by 179 · see citing works
Self-citationThe pathology of the substantia nigra in Alzheimer disease with extrapyramidal signs
Burns, J. M., Galvin, J. E., Roe, C. M., Morris, J. C., & McKeel, D. W. (2005) · Neurology · doi:10.1212/01.wnl.0000158423.05224.7f · Cited by 175 · see citing works
Ruusuvuori, E., Li, H., Huttu, K., Palva, J. M., Smirnov, S., Rivera, C., Kaila, K., & Voipio, J. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.5176-03.2004 · Cited by 175 · see citing works
Lehtovirta, M., Laakso, M. P., Soininen, H. S., Helisalmi, S., Mannermaa, A., Helkala, E.-L., Partanen, K. P. L., Ryynänen, M., Vainio, P. A., Hartikainen, P. H., et al. (1995) · Neuroscience · doi:10.1016/0306-4522(95)00014-a · Cited by 172 · see citing works
The Endogenous Estrogen Status Regulates Microglia Reactivity in Animal Models of Neuroinflammation
Vegeto, E., Belcredito, S., Ghisletti, S., Meda, C., Etteri, S., & Maggi, A. C. (2006) · Endocrinology · doi:10.1210/en.2005-1330 · Cited by 171 · see citing works
A Jekyll and Hyde kinase: roles for Cdk5 in brain development and disease
Cruz, J. C., & Tsai, L. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.05.002 · Cited by 170 · see citing works
Self-citationDoxycycline Suppresses Microglial Activation by Inhibiting the P38 MAPK and NF-KB Signaling Pathways
Santa-Cecília, F. V., Socias, B., Ouidja, M. O., Sepulveda-Diaz, J. E., Acuña, L., Silva, R. L., Michel, P. P., Del-Bel, E., Cunha, T. M., & Raisman-Vozari, R. (2016) · Neurotoxicity Research · doi:10.1007/s12640-015-9592-2 · Cited by 165 · see citing works
Kovács, T., Cairns, & Lantos (1999) · Neuropathology and Applied Neurobiology · doi:10.1046/j.1365-2990.1999.00208.x · Cited by 162 · see citing works
Early postnatal development of pyramidal neurons across layers of the mouse medial prefrontal cortex
Kroon, T., van Hugte, E., van Linge, L., Mansvelder, H. D., & Meredith, R. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-41661-9 · Cited by 161 · see citing works
Alzheimer's disease: amyloid plaques in the cerebellum
Braak, H., Braak, E., Böhl, J., & Lang, W. (1989) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(89)90197-4 · Cited by 157 · see citing works
Zusso, M., Methot, L., Lo, R., Greenhalgh, A. D., David, S., & Stifani, S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6182-11.2012 · Cited by 154 · see citing works
Regulation of microglia development and homeostasis.
Greter, M., & Merad, M. (2013) · Glia · doi:10.1002/glia.22408 · Cited by 141 · see citing works
Venturino, A., Schulz, R., De Jesús-Cortés, H., Maes, M. E., Nagy, B., Reilly-Andújar, F., Colombo, G., Cubero, R. J. A., Schoot Uiterkamp, F. E., Bear, M. F., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109313 · Cited by 140 · see citing works
Self-citationDavalos, D., Lee, J. K., Smith, W. B., Brinkman, B. C., Ellisman, M. H., Zheng, B., & Akassoglou, K. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.11.011 · Cited by 130 · see citing works
Synaptogenesis in the corpus striatum of infant rat
Hattori, T., & McGeer, P. L. (1973) · Experimental Neurology · doi:10.1016/0014-4886(73)90008-3 · Cited by 125 · see citing works
The Cerebellum in Alzheimer's Disease
Larner, A. J. (1997) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000106632 · Cited by 124 · see citing works
The Role of CDK5/P25 Formation/Inhibition in Neurodegeneration
Camins, A., Verdaguer, E., Folch, J., Canudas, A. M., & Pallàs, M. (2006) · Drug News & Perspectives · doi:10.1358/dnp.2006.19.8.1043961 · Cited by 124 · see citing works
Valeeva, G. R., Tressard, T., Mukhtarov, M. R., Baude, A., & Khazipov, R. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3482-15.2016 · Cited by 118 · see citing works
Furube, E., Kawai, S., Inagaki, H., Takagi, S., & Miyata, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-20643-3 · Cited by 118 · see citing works
Yanguas‐Casás, N., Crespo‐Castrillo, A., CEBALLOS, M. L. D., Chowen, J. A., Azcoitia, Í., Arévalo, M., & García‐Segura, L. M. (2017) · Glia · doi:10.1002/glia.23263 · Cited by 116 · see citing works
Kongsui, R., Beynon, S. B., Johnson, S. J., & Walker, F. R. (2014) · Journal of Neuroinflammation · doi:10.1186/s12974-014-0182-7 · Cited by 115 · see citing works
Development of vestibular afferent projections into the hindbrain and their central targets.
Maklad, A., & Fritzsch, B. (2003) · Brain Research Bulletin · doi:10.1016/s0361-9230(03)00054-6 · Cited by 113 · see citing works
Physiological roles of microglia during development
Pont‐Lezica, L., Béchade, C., Cantaut-Belarif, Y., Pascual, O., & Bessis, A. (2011) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2011.07504.x · Cited by 109 · see citing works
Adeluyi, A., Guerin, L. N., Fisher, M. L., Galloway, A. L., Cole, R. D., Chan, S. S. L., Wyatt, M. D., Davis, S. W., Freeman, L. R., Ortinski, P. I., et al. (2019) · Science Advances · doi:10.1126/sciadv.aax7031 · Cited by 107 · see citing works
Leuba, G., Savioz, A., Vernay, A., Carnal, B., Kraftsik, R., Tardif, É., Riederer, I. M., & Riederer, B. M. (2008) · Journal of Alzheimer s Disease · doi:10.3233/jad-2008-15112 · Cited by 104 · see citing works
Morphological and Phagocytic Profile of Microglia in the Developing Rat Cerebellum
Perez‐Pouchoulen, M., VanRyzin, J. W., & McCarthy, M. M. (2015) · eNeuro · doi:10.1523/eneuro.0036-15.2015 · Cited by 100 · see citing works
Increased olfactory bulb volume and olfactory function in early blind subjects
Rombaux, P., Huart, C., Volder, A. D., Cuevas, I., Renier, L. A., Duprez, T. P. J., & Grandin, C. B. G. (2010) · Neuroreport · doi:10.1097/wnr.0b013e32833fcb8a · Cited by 92 · see citing works
Iron Accumulation in the Substantia Nigra of Patients With Alzheimer Disease and Parkinsonism
Brar, S., Henderson, D. L., Schenck, J. F., & Zimmerman, E. A. (2009) · Archives of Neurology · doi:10.1001/archneurol.2008.586 · Cited by 86 · see citing works
Gamache, J., Yun, Y., & Chiba-Falek, O. (2020) · Disease Models & Mechanisms · doi:10.1242/dmm.045211 · Cited by 84 · see citing works
Selective Disruption of the Cerebral Neocortex in Alzheimer's Disease
Desikan, R. S., Sabuncu, M. R., Schmansky, N. J., Reuter, M., Cabral, H., Hess, C. P., Weiner, M. W., Biffi, A., Anderson, C. D., Rosand, J. M., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012853 · Cited by 83 · see citing works
Sex Differences in Autophagy Contribute to Female Vulnerability in Alzheimer's Disease
Congdon, E. E. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00372 · Cited by 81 · see citing works
Jantzie, L. L., Cheung, P., & Todd, K. G. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600025 · Cited by 80 · see citing works
Taipa, R. J. F., Ferreira, V., Brochado, P., Robinson, A., Reis, I., Marques, F., Mann, D. M. A., Pires, M. M., & Sousa, N. (2017) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12445 · Cited by 79 · see citing works
Microglial Function across the Spectrum of Age and Gender
Nissen, J. C. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18030561 · Cited by 74 · see citing works
Somatosensory responses in normal aging, mild cognitive impairment, and Alzheimer’s disease
Stephen, J. M., Montaño, R., Donahue, C. H., Adair, J. C., Knoefel, J. E., Qualls, C., Hart, B. L., Ranken, D. M., & Aine, C. J. (2009) · Journal of Neural Transmission · doi:10.1007/s00702-009-0343-5 · Cited by 74 · see citing works
Salamanca, L., Mechawar, N., Murai, K. K., Balling, R., Bouvier, D. S., & Skupin, A. (2019) · Glia · doi:10.1002/glia.23623 · Cited by 73 · see citing works
Metrics for comparing neuronal tree shapes based on persistent homology
Li, Y., Wang, D., Ascoli, G. A., Mitra, P. P., & Wang, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182184 · Cited by 73 · see citing works
Olfactory bulb lesions in alzheimer's disease
Struble, R. G., & Clark, H. B. (1992) · Neurobiology of Aging · doi:10.1016/0197-4580(92)90074-8 · Cited by 70 · see citing works
Yang, J., Zhang, J., Yu, Y., Duan, S., & Li, X. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs291 · Cited by 67 · see citing works
Manji, Z., Rojas, A., Wang, W., Dingledine, R. J., Varvel, N. H., & Ganesh, T. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180678 · Cited by 62 · see citing works
Statistical analysis and data mining of digital reconstructions of dendritic morphologies
Polavaram, S., Gillette, T. A., Parekh, R., & Ascoli, G. A. (2014) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2014.00138 · Cited by 61 · see citing works
Substantia Nigra Lesions in Alzheimer Disease and Normal Aging
Kazee, A. M., Cox, C. E., & Richfield, E. K. (1995) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-199509020-00001 · Cited by 50 · see citing works
Stockley, E. W., Cole, H. M., Brown, A. D., & Wheal, H. V. (1993) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(93)90020-r · Cited by 48 · see citing works
Isolation and Phenotyping of Adult Mouse Microglial Cells
Grabert, K., & McColl, B. W. (2018) · Methods in Molecular Biology · doi:10.1007/978-1-4939-7837-3_7 · Cited by 48 · see citing works
Auditory brainstem nuclei in Alzheimer's disease
Ohm, T. G., & Braak, H. (1989) · Neuroscience Letters · doi:10.1016/0304-3940(89)90243-7 · Cited by 44 · see citing works
Wiesman, A. I., Mundorf, V. M., Casagrande, C. C., Wolfson, S. L., Johnson, C. M., May, P. E., Murman, D. L., & Wilson, T. W. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103638 · Cited by 34 · see citing works
Alzheimer’s Disease in Man and Transgenic Mice
Turner, R. S. (2001) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)64026-6 · Cited by 31 · see citing works
Computational synthesis of cortical dendritic morphologies
Kanari, L., Dictus, H., Chalimourda, A., Arnaudon, A., Geit, W. A. H. V., Coste, B., Shillcock, J. C., Hess, K. P., & Markram, H. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110586 · Cited by 31 · see citing works
Self-citationPostnatal development of intrinsic GABAergic rhythms in mouse hippocampus
Wong, T. L. H., Zhang, X. L., Nassiri‐Asl, M., Wu, C. P., Carlen, P. L., & Zhang, L. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.04.019 · Cited by 28 · see citing works
Estrogen and P2 Purinergic Receptor Systems in Microglia: Therapeutic Targets for Neuroprotection.
Crain, J. M., & Watters, J. J. (2010) · PubMed · doi:10.2174/1877381801002010148 · Cited by 15 · see citing works
Quantitative neuronal morphometry by supervised and unsupervised learning
Bijari, K., Valera, G., López‐Schier, H., & Ascoli, G. A. (2021) · STAR Protocols · doi:10.1016/j.xpro.2021.100867 · Cited by 14 · see citing works
Venturino, A., & Siegert, S. (2021) · STAR Protocols · doi:10.1016/j.xpro.2021.101012 · Cited by 6 · see citing works
Self-citationSupervised Learning Using Homology Stable Rank Kernels
Agerberg, J., Ramanujam, R., Scolamiero, M., & Chachólski, W. (2021) · Frontiers in Applied Mathematics and Statistics · doi:10.3389/fams.2021.668046 · Cited by 3 · see citing works
Self-citationGeneralized persistence analysis based on stable rank invariantPreprint
Riihimäki, H., & Chachólski, W. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1807.01217 · Cited by 2 · see citing works
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Microglia states and nomenclature: A field at its crossroads
Paolicelli, R. C., Sierra, A., Stevens, B., Tremblay, M.-E., Aguzzi, A., Ajami, B., Amit, I., Audinat, E., Bechmann, I., Bennett, M., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.020 · Cited by 1,973 · see citing works
Self-citationHuman microglial state dynamics in Alzheimer’s disease progression
Sun, N., Victor, M. B., Park, Y. P., Xiong, X., Scannail, A. N., Leary, N., Prosper, S., Viswanathan, S., Luna, X., Boix, C. A., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.037 · Cited by 462 · see citing works
Self-citationMicroglial morphometric analysis: so many options, so little consistency
Reddaway, J., Richardson, P., Bevan, R. J., Stoneman, J., & Palombo, M. (2023) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2023.1211188 · Cited by 119 · see citing works
Quantifying microglial morphology: an insight into function
Green, T. R. F., & Rowe, R. K. (2024) · Clinical & Experimental Immunology · doi:10.1093/cei/uxae023 · Cited by 106 · see citing works
Müller, L., Benedetto, S. D., & Müller, V. (2025) · Cells · doi:10.3390/cells14010054 · Cited by 98 · see citing works
Kim, J. S., Pavlidis, P., & Ciernia, A. V. (2024) · eNeuro · doi:10.1523/eneuro.0014-24.2024 · Cited by 58 · see citing works
Johnson, N. R., Yuan, P., Castillo, E., Lopez, T. P., Yue, W., Bond, A., Rivera, B. M., Sullivan, M. C., Hirouchi, M., Giles, K., et al. (2023) · Nature Communications · doi:10.1038/s41467-022-35753-w · Cited by 46 · see citing works
Bobotis, B. C., Braniff, O., Gargus, M., Akinluyi, E. T., Awogbindin, I. O., & Tremblay, M.-È. (2023) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2023.110752 · Cited by 40 · see citing works
Lewy body dementia promotion by air pollutants
Zhang, X., Liu, H., Wu, X., Jia, L., Gadhave, K., Wang, L., Zhang, K., Li, H., Chen, R., Kumbhar, R., et al. (2025) · Science · doi:10.1126/science.adu4132 · Cited by 46 · see citing works
The dual nature of neuroinflammation in networked brain
Müller, L., Benedetto, S. D., & Müller, V. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1659947 · Cited by 39 · see citing works
Online conversion of reconstructed neural morphologies into standardized SWC format
Mehta, K., Ljungquist, B., Ogden, J., Nanda, S., Ascoli, R., Ng, L., & Ascoli, G. A. (2023) · Nature Communications · doi:10.1038/s41467-023-42931-x · Cited by 23 · see citing works
van Weering, H. R. J., Nijboer, T. W., Brummer, M. L., Boddeke, E., & Eggen, B. J. L. (2023) · Glia · doi:10.1002/glia.24427 · Cited by 23 · see citing works
Relationship between sex biases in gene expression and sex biases in autism and Alzheimer’s disease
Fass, S. B., Mulvey, B., Chase, R., Yang, W. C., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Biology of Sex Differences · doi:10.1186/s13293-024-00622-2 · Cited by 25 · see citing works
Sheridan, S. D., Horng, J. E., Yeh, H., McCrea, L. T., Wang, J. P., Fu, T., & Perlis, R. H. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.07.022 · Cited by 19 · see citing works
Type I interferon signalling and interferon‐responsive microglia in health and disease
López‐Atalaya, J. P., & Bhojwani-Cabrera, A. M. (2025) · FEBS Journal · doi:10.1111/febs.70126 · Cited by 19 · see citing works
Bobotis, B. C., Khakpour, M., Braniff, O., de Andrade, E. G., Gargus, M., Allen, M., Carrier, M., Baillargeon, J., Rangachari, M., & Tremblay, M.-È. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03341-6 · Cited by 17 · see citing works
“This analysis provides insight into microglial function across contexts of health and disease [57, 84].”
Regulation of disease-associated microglia in the optic nerve by lipoxin B4 and ocular hypertension
Maurya, S., Lin, M., Karnam, S., Singh, T., Kumar, M., Ward, E., Sivak, J. M., Flanagan, J. G., & Gronert, K. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00775-z · Cited by 15 · see citing works
Shi, L., Liu, S., Chen, J., Wang, H., & Wang, Z. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-00810 · Cited by 14 · see citing works
Le, L., Eliseeva, S. I., Plunk, E. C., Kara-Pabani, K., Li, H., Yarovinsky, F., & Majewska, A. K. (2025) · Cell Reports · doi:10.1016/j.celrep.2024.115176 · Cited by 12 · see citing works
Sanchez-Molina, P., Rosmus, D.-D., Brownell, D., Meral, M., Gohlich, C., Pratapa, A., Peymanfar, Y., Whitley, A., Hou, Y., Nikulina, N., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02267-3 · Cited by 17 · see citing works
Dong, M., Qian, Y., Geng, Y., Wang, R., Wang, Y., Cai, J., Wang, X., Huang, Y., Liu, Y., Liu, W., et al. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251378007 · Cited by 12 · see citing works
Microglia contribute to cognitive decline in hypercholesterolemic LDLr −/− mice
Rodrigues, M. S., do Nascimento, N. B., Farias, H. R., Schons, T., Machado, A. G., Medeiros, E. B., Mesquita, A., Bast, R. K., Budni, J., Engblom, D., et al. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15952 · Cited by 11 · see citing works
Uweru, J. O., Okojie, A. K., Trivedi, A., Benderoth, J., Thomas, L. S., Davidson, G. K., Cox, K., & Eyo, U. B. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03079-7 · Cited by 10 · see citing works
Maksour, S., & Ooi, L. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15885 · Cited by 11 · see citing works
Microglia role as the regulator of cognitive function
Sousa, R. A. L. D., & Cassilhas, R. C. (2023) · Revista da Associação Médica Brasileira · doi:10.1590/1806-9282.20230412 · Cited by 11 · see citing works
Cell morphologies in the nervous system: Glia steal the limelight
Ascoli, G. A. (2022) · The Journal of Comparative Neurology · doi:10.1002/cne.25429 · Cited by 10 · see citing works
Maes, M. E., Colombo, G., Uiterkamp, F. E. S., Sternberg, F., Venturino, A., Pohl, E. E., & Siegert, S. (2023) · iScience · doi:10.1016/j.isci.2023.107780 · Cited by 9 · see citing works
Self-citationContralateral Astrocyte Response to Acute Optic Nerve Damage Is Mitigated by PANX1 Channel Activity
Wurl, J. A., Nair, C. E. M., Dietz, J. A., Shestopalov, V. I., & Nickells, R. W. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242115641 · Cited by 9 · see citing works
A model-based hierarchical Bayesian approach to Sholl analysis
VonKaenel, E. D., Feidler, A. M., Lowery, R. L., Andersh, K. M., Love, T., Majewska, A. K., & McCall, M. N. (2024) · Bioinformatics · doi:10.1093/bioinformatics/btae156 · Cited by 8 · see citing works
Zhang, Y., & Tang, C. (2024) · Aging and Disease · doi:10.14336/ad.2024.0326 · Cited by 7 · see citing works
Perochon, T., Krsnik, Ž., Massimo, M., Ruchiy, Y., Romero, A. L., Mohammadi, E., Li, X., Long, K. R., Parkkinen, L., Blomgren, K., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-56560-z · Cited by 7 · see citing works
Ward, E., Benowitz, L. I., Brunner, T. M., Bu, G., Cayouette, M., Canto-Soler, V., Mesquita, S. D., Polo, A. D., DiAntonio, A., Duan, X., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00858-5 · Cited by 7 · see citing works
Microglial function interacts with the environment to affect sex-specific depression risk
Fitzgerald, E., Pokhvisneva, I., Patel, S. H., Chan, S. Y., Tan, A. P., Chen, H., Silveira, P. P., & Meaney, M. J. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.04.030 · Cited by 5 · see citing works
Johnson, N. R., Yuan, P., Castillo, E., Lopez, T. P., Yue, W., Bond, A., Rivera, B. M., Sullivan, M. C., Hirouchi, M., Giles, K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.20.436288 · Cited by 5 · see citing works
Lessons from ex vivo and in vitro models in microglia research
Cserép, C., Berki, P., Mars, M., Pósfai, B., Pasterkamp, R. J., Benkő, S., & Dénes, Á. (2025) · Trends in Neurosciences · doi:10.1016/j.tins.2025.10.004 · Cited by 5 · see citing works
The cellular choreography of brain aging: a neuroimmune network perspective
Müller, L., Benedetto, S. D., & Müller, V. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1848642 · Cited by 5 · see citing works
Maya-Arteaga, J. P., Martínez-Orozco, H., & Díaz-Cintra, S. Y. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1505048 · Cited by 5 · see citing works
Birkle, T. J. Y., Willems, H. M. G., Skidmore, J., & Brown, G. C. (2024) · iScience · doi:10.1016/j.isci.2024.109454 · Cited by 4 · see citing works
Characterizing Microglial Morphology: Methodological Advances in Confocal Imaging and Analysis
Taborda-Bejarano, J. P., Nowak, D. B., Chaure, F. J., Allen, M. L., Blek, K. A., Walterhouse, S. H., Mantsch, J. R., & García‐Keller, C. (2025) · Cells · doi:10.3390/cells14171354 · Cited by 3 · see citing works
Benkeder, S., Dinh, S.-M., Marchal, P., Gea, P. D., Thoby‐Brisson, M., Hubert, V., Hristovska, I., Pitollat, G., Combet, K., Cardoit, L., et al. (2024) · eLife · doi:10.1101/2024.08.29.609024 · Cited by 3 · see citing works
Matoba, K., Kochi, T., Mreyoud, Y., Badrani, J. H., Patel, H., Tsujioka, H., Yamashita, T., Crossman, D. K., Niwa, M., & Kano, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.19.609743 · Cited by 3 · see citing works
Multi-gate Weighted Fusion Network for neuronal morphology classification
Sun, C., & Zhao, F. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1322623 · Cited by 2 · see citing works
3-dimensional morphological analysis of microglia in the sheep brain
Stock, V., Hadzajlic, E., Connelly, A. A., Bassi, J. K., Jufar, A. H., May, C. N., Lankadeva, Y. R., Yao, S. T., & Booth, L. C. (2025) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2025.110624 · Cited by 2 · see citing works
The Central Nervous System Source Modulates Microglia Function and Morphology In Vitro
Pinho, A. G., Monteiro, A., Fernandes, S., de Sousa, N., Salgado, A. J., Silva, N. A., & Monteiro, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24097685 · Cited by 2 · see citing works
Jha, A., & Kumar, H. (2024) · Neuroglia · doi:10.3390/neuroglia5030017 · Cited by 3 · see citing works
Geertsema, J., Franssen, M. M. M., Barban, F., Sarauskyte, L., Giera, M. A., Kooij, G., & Kőrösi, A. (2024) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2024.102662 · Cited by 2 · see citing works
Exploring Graph and Digraph Persistence
Bergomi, M. G., & Ferri, M. (2023) · Algorithms · doi:10.3390/a16100465 · Cited by 2 · see citing works
AutoMorFi: Automated Whole-image Morphometry in Fiji/ImageJ for Diverse Analyses and DiscoveriesPreprint
Bouadi, O., Yao, C., Zeng, J., Beason, D., Inda, N., Malone, Z., Yoshihara, J., Manjally, A. V., Johnson, C., Cherry, J. D., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.26.605357 · Cited by 2 · see citing works
Mcsweeney-Davis, A., Fang, C., Caruyer, E., Kerbrat, A., & Li, J. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf258 · Cited by 1 · see citing works
Bonilla, M. I., Lee, H.-L., Foster, S., Kim, I.-J., & Rudenko, A. (2025) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2025.100591 · Cited by 1 · see citing works
Allopurinol treatment changes microglial characteristics in neonatal mice
Teruya, R.-I., Okajima, T., & Tsuruta, F. (2025) · PubMed Central · doi:10.17912/micropub.biology.001739 · Cited by 1 · see citing works
Venturino, A., Alamalhoda, M., Negrello, T., Jin, K., van Velthoven, C. T. J., Cubero, R. J., Yeung, J., Koppensteiner, P., Tasic, B., & Siegert, S. (2026) · Science Advances · doi:10.1126/sciadv.adz6517 · Cited by 1 · see citing works
Self-citationBoland, S. W., Coyner, G. N., Risen, S. J., Alsulami, A., McGrath, S., & Moreno, J. A. (2026) · Frontiers in Aging · doi:10.3389/fragi.2026.1829442 · Cited by 1 · see citing works
Du, J. T., Chartrand, T., Jayadev, S., Prater, K. E., & Lin, K. (2026) · Journal of Computational Biology · doi:10.1177/15578666261492321 · Cited by 1 · see citing works
Geometry based gene expression signatures detect cancer treatment responders in clinical trialsPreprint
Chachólski, W., & Ramanujam, R. (2024) · medRxiv · doi:10.1101/2024.07.01.24309803 · Cited by 1 · see citing works
Self-citationTemporal topology provides an interpretable framework for neuronal morphogenesisPreprint
Rigaux, K., Castro, A. F., & Kanari, L. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.02.657366 · Cited by 1 · see citing works
Self-citationSalter, E. W., Lackie, E. R. L., Georgiou, J., & Collingridge, G. L. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.04.703826 · Cited by 1 · see citing works
Uncovering the Basis of Human Connectome Complexity: The Role of Neuronal MorphologyPreprint
Barros-Zulaica, N., Santander, D. E., Kanari, L., Shi, Y., Perin, R., Pezzoli, M., Benavides‐Piccione, R., DeFelipe, J., de Kock, C. P. J., Segev, I., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.12.705493 · Cited by 1 · see citing works
Self-citationAn organotypic neocortical slice culture for studying neuroglial interactionsPreprint
Higgins, K. P., Naqib, V. A. B. A., Mayo, P., Lodder, B., Masuda, T., Amann, L., Prinz, M., & Kole, M. H. P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.15.725074 · Cited by 1 · see citing works
Maes, M. E., Colombo, G., Uiterkamp, F. E. S., Sternberg, F., Venturino, A., Pohl, E. E., & Siegert, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.22.504738
Self-citationSheridan, S. D., Horng, J. E., Yeh, H., McCrea, L. T., Fu, T., & Perlis, R. H. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.24.513576
Mapping tool reveals microglia’s shape-shifting secrets
Askham, A. V. (2022) · The Transmitter · doi:10.53053/vpzu2045
Fitzgerald, E., Pokhvisneva, I., Patel, S. H., Chan, S. Y., Tan, A. P., Chen, H., Silveira, P. P., & Meaney, M. J. (2023) · medRxiv · doi:10.1101/2023.02.18.23286124
Pruning vineyards: Updating barcodes and representative cycles by removing simplices
Giunti, B., & Lazovskis, J. (2026) · Foundations of Data Science · doi:10.3934/fods.2026007
Uweru, J. O., Okojie, K. A., Trivedi, A., Benderoth, J., Thomas, L. S., Davidson, G. K., Cox, K., & Eyo, U. B. (2024) · Research Square · doi:10.21203/rs.3.rs-3997803/v1
Maurya, S., Lin, M., Karnam, S., Singh, T., Kumar, M., Ward, E., Sivak, J. M., Flanagan, J. G., & Gronert, K. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.18.585452
Le, L., Eliseeva, S. I., Kara-Pabani, K., Li, H., Yarovinsky, F., & Majewska, A. K. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4795163
Unsupervised deep learning enables blur-free super-resolution in two-photon microscopyPreprint
Morita, H., Hayashi, S., Tsuji, T., Kato, D., Wake, H., & Shimamura, T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.30.591870
Benkeder, S., Dinh, S.-M., Marchal, P., Gea, P. D., Thoby‐Brisson, M., Hubert, V., Hristovska, I., Pitollat, G., Combet, K., Cardoit, L., et al. (2024) · eLife · doi:10.7554/elife.101630.1
Morphometric Identification of Parvalbumin-Positive Interneurons: A Data-Driven ApproachPreprint
Panday, M., Monteiro, L., Daudi, A., & Murphy, K. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.27.630528
Representation of conceptual affordances in eye movements and the entorhinal cortexPreprint
Eperon, A., Doeller, C. F., Theves, S., & Bottini, R. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.21.633955
Benkeder, S., Dinh, S.-M., Marchal, P., Gea, P. D., Thoby‐Brisson, M., Hubert, V., Hristovska, I., Pitollat, G., Combet, K., Cardoit, L., et al. (2025) · eLife · doi:10.7554/elife.101630.2
Topology across scales on heterogeneous cell data
Torras-Pérez, M., Yoon, I. H. R., Weeratunga, P. N., Ho, L., Byrne, H. M., Tillmann, U., & Harrington, H. A. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013460
Unsupervised deep learning enables blur-free resolution enhancement in two-photon microscopy
Morita, H., Hayashi, S., Tsuji, T., Kato, D., Wake, H., & Shimamura, T. (2026) · Cell Reports Methods · doi:10.1016/j.crmeth.2026.101476
Brain-wide changes in microglial morphology following peripheral nerve injury
Cazuza, R. A., Laoumtzis, M., Lacagnina, M. J., Morphett, J., Zagrai, S. M., Grieco, A. R., Hutchinson, M. R., & Grace, P. M. (2025) · Journal of Pain · doi:10.1016/j.jpain.2025.105582
Sex Dependent Effects of Minocycline on Contextual Fear MemoryPreprint
Lin, T. E., Hall, J., & Thomas, K. L. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.11.687783
Yuge, M., Koiwa, J., Shiromizu, T., Wakai, E., Mizoguchi, A., & Nishimura, Y. (2025) · Current Research in Toxicology · doi:10.1016/j.crtox.2025.100276
Uweru, J. O., Okojie, A. K., Trivedi, A., Benderoth, J., Thomas, L. S., Davidson, G. K., Cox, K., & Eyo, U. B. (2024) · Figshare · doi:10.6084/m9.figshare.26706966
Fass, S. B., Mulvey, B., Chase, R., Yang, W., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Figshare · doi:10.6084/m9.figshare.26730706
Fass, S. B., Mulvey, B., Chase, R., Yang, W., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Figshare · doi:10.6084/m9.figshare.26730724
Fass, S. B., Mulvey, B., Chase, R., Yang, W., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Figshare · doi:10.6084/m9.figshare.26730709
Fass, S. B., Mulvey, B., Chase, R., Yang, W., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Figshare · doi:10.6084/m9.figshare.26730715
Fass, S. B., Mulvey, B., Chase, R., Yang, W., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Figshare · doi:10.6084/m9.figshare.26730730
Fass, S. B., Mulvey, B., Chase, R., Yang, W., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Figshare · doi:10.6084/m9.figshare.26730718
Uweru, J. O., Okojie, A. K., Trivedi, A., Benderoth, J., Thomas, L. S., Davidson, G. K., Cox, K., & Eyo, U. B. (2024) · Figshare · doi:10.6084/m9.figshare.25608684
Fass, S. B., Mulvey, B., Chase, R., Yang, W., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Figshare · doi:10.6084/m9.figshare.26730721
Uweru, J. O., Okojie, A. K., Trivedi, A., Benderoth, J., Thomas, L. S., Davidson, G. K., Cox, K., & Eyo, U. B. (2024) · Figshare · doi:10.6084/m9.figshare.25608855
Fass, S. B., Mulvey, B., Chase, R., Yang, W., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Figshare · doi:10.6084/m9.figshare.26730727
Uweru, J. O., Okojie, A. K., Trivedi, A., Benderoth, J., Thomas, L. S., Davidson, G. K., Cox, K., & Eyo, U. B. (2024) · Figshare · doi:10.6084/m9.figshare.26706972
Uweru, J. O., Okojie, A. K., Trivedi, A., Benderoth, J., Thomas, L. S., Davidson, G. K., Cox, K., & Eyo, U. B. (2024) · Figshare · doi:10.6084/m9.figshare.26706969
Fass, S. B., Mulvey, B., Chase, R., Yang, W., Selmanovic, D., Chaturvedi, S. M., Tycksen, E., Weiss, L. A., & Dougherty, J. D. (2024) · Figshare · doi:10.6084/m9.figshare.26730712
Astrocyte morphology: complex or trivial?
Kriuchechnikova, A., Soldatova, A., Tiaglik, A. B., Tang, Y., & Brazhe, A. (2025) · Biophysical Reviews · doi:10.1007/s12551-025-01402-x
Subcellular orchestration of microglial aging
Schaible, P., & Erny, D. (2026) · Nature Aging · doi:10.1038/s43587-026-01109-y
Emissah, H., Tecuatl, C., & Ascoli, G. A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.27.714818
Mesaoudi, A. E. (2024) · theses.fr (ABES) · doi:10.70675/f339157ez1688z4acaz87fcz0ecae062a7cc
Manifold learning for personalized and label-free detection of cardiac arrhythmias
Vazifeh, A. R., & Fleischer, J. W. (2026) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2026.101770
Chromatic topological mapping reveals organelle-specific spatial organization within microgliaPreprint
Agerberg, J., Kanari, L., Maes, M. E., Chachólski, W., Siegert, S., & Scolamiero, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.05.730307
Self-citationXia, Y., Yuan, P., Fei, G., & Cheng, X. (2026) · Brain medicine : · doi:10.61373/bm026y.0051
Sriram, A., Attili, S. M., & Seshaiyer, P. (2026) · Research Square · doi:10.21203/rs.3.rs-10233914/v1
Manifold Alignment for Label-Free Cell Phenotyping in Multimodal Microscopy
Vazifeh, A. R., & Fleischer, J. W. (2026) · Optics in the Life Sciences · doi:10.1364/microscopy.2026.mw1b.4
- Authors
- Colombo, G., Cubero, R. J. A., Kanari, L., Venturino, A., Schulz, R., Scolamiero, M., Agerberg, J., Mathys, H., Tsai, L.-H., Chachólski, W., Hess, K., & Siegert, S.
- Affiliations
- Institute of Science and Technology Austria (AT)
- École Polytechnique Fédérale de Lausanne (CH)
- KTH Royal Institute of Technology (SE)
- Broad Institute (US)
- Corresponding author
- Siegert, Sandra
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2022-09-30
- Volume
- 25
- Issue
- 10
- Pages
- 1379-1393
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC9534764
- OpenAlex
- W4298137907
- Cited by
- 100
- References
- 125
- Citations by year
- 2026: 25 · 2025: 23 · 2024: 31 · 2023: 15 · 2022: 5 · 2021: 1
- FWCI
- 7.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Neuroscience (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- SDL (submittedVersion)
- Funders
- JPB Foundation
- Institute of Science and Technology Austria (715571, 754411)
- European Commission (HORIZON2020, 754411)
- École Polytechnique Fédérale de Lausanne
- Bundesministerium für Wissenschaft, Forschung und Wirtschaft
- Board of the Swiss Federal Institutes of Technology
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (R37NS051874)
- H2020 Marie Skłodowska-Curie Actions (754411, HORIZON2020, 715571)
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- microglial morphology, morphomics, topological data analysis, sex differences, regional brain differences, microglial phenotype, neurodegeneration, ketamine anesthesia, microglial maturation, mouse brain
- MeSH terms
- Animals, Brain, Disease Models, Animal, Female, Ketamine, Male, Phenotype, Microglia, Mice
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