Molecular basis of astrocyte diversity and morphology across the CNS in health and disease
Open accessAbstract
Astrocytes, a type of glia, are abundant and morphologically complex cells. Here, we report astrocyte molecular profiles, diversity, and morphology across the mouse central nervous system (CNS). We identified shared and region-specific astrocytic genes and functions and explored the cellular origins of their regional diversity. We identified gene networks correlated with astrocyte morphology, several of which unexpectedly contained Alzheimer’s disease (AD) risk genes. CRISPR/Cas9–mediated reduction of candidate genes reduced astrocyte morphological complexity and resulted in cognitive deficits. The same genes were down-regulated in human AD, in an AD mouse model that displayed reduced astrocyte morphology, and in other human brain disorders. We thus provide comprehensive molecular data on astrocyte diversity and mechanisms across the CNS and on the molecular basis of astrocyte morphology in health and disease.
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Of all non-neuronal cell types, the Astro-Epen class exhibits the most diverse spatial patterns.
“Of all the non-neuronal cell types, the Astro–Epen class exhibits the most diverse spatial patterns68,69.”
From A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain (2023) · cites this paper as [68]
The Results section, “Region-specific astrocyte genes and pathways” (page unavailable), documents differences among astrocytes across CNS regions. It does not identify an Astro–Epen class or compare its spatial patterns with those of all other non-neuronal cell types, so the claim that it is the most diverse is unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measuredLess is known about the transcriptomic heterogeneity of astrocytes across different cortical areas in the aging human brain.
“but less is known about the transcriptomic heterogeneity of astrocytes across different cortical areas in the aging human brain.”
From Astrocyte transcriptomic changes along the spatiotemporal progression of Alzheimer’s disease (2024) · cites this paper as [8]
The Strategy and Bioinformatic evaluation of astrocyte diversity sections describe transcriptomic comparisons across adult mouse CNS regions, including cortical areas. Our copy does not state whether transcriptomic heterogeneity across cortical areas in the aging human brain is less well understood; searches for human aging and cortical heterogeneity found no passage addressing that knowledge gap. (LLM, conf=0.75)
Experimental — accuracy not yet measured
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Cites
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709 · see citing works
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
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658 · 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
Improved vectors and genome-wide libraries for CRISPR screening
Sanjana, N. E., Shalem, O., & Zhang, F. (2014) · Nature Methods · doi:10.1038/nmeth.3047 · Cited by 5,239 · see citing works
In vivo genome editing using Staphylococcus aureus Cas9
Ran, F. A., Cong, L., Yan, W. X., Scott, D. A., Gootenberg, J. S., Kriz, A. J., Zetsche, B., Shalem, O., Wu, X., Makarova, K. S., et al. (2015) · Nature · doi:10.1038/nature14299 · Cited by 2,687 · 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
Reactive astrocyte nomenclature, definitions, and future directions
Escartin, C., Galea, E., Lakatos, A., O’Callaghan, J. P., Petzold, G. C., Serrano-Pozo, A., Steinhäuser, C., Volterra, A., Carmignoto, G., Agarwal, A., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00783-4 · Cited by 2,533 · see citing works
Self-citationThe 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
Chan, K. Y., Jang, M. J., Yoo, B. B., Greenbaum, A., Ravi, N., Wu, W.-L., Sánchez-Guardado, L., Lois, C., Mazmanian, S. K., Deverman, B. E., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4593 · Cited by 1,578 · see citing works
Self-citationJankowsky, J. L., Fadale, D. J., Anderson, J., Xu, G. M., Gonzales, V., Jenkins, N. A., Copeland, N. G., Lee, M. K., Younkin, L. H., Wagner, S. L., et al. (2004) · Human Molecular Genetics · doi:10.1093/hmg/ddh019 · Cited by 1,575 · see citing works
The Mystery and Magic of Glia: A Perspective on Their Roles in Health and Disease
Barres, B. A. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.013 · Cited by 1,352 · see citing works
CHOPCHOP: a CRISPR/Cas9 and TALEN web tool for genome editing
Montague, T. G., Cruz, J. M. B. S., Gagnon, J. A., Church, G. M., & Valen, E. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku410 · Cited by 1,203 · 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
Glia as architects of central nervous system formation and function
Allen, N. J., & Lyons, D. A. (2018) · Science · doi:10.1126/science.aat0473 · Cited by 1,001 · see citing works
Astrocyte reactivity and reactive astrogliosis: costs and benefits
Pekny, M., & Pekna, M. (2014) · Physiological Reviews · doi:10.1152/physrev.00041.2013 · Cited by 934 · see citing works
Identification of region-specific astrocyte subtypes at single cell resolution
Batiuk, M. Y., Martirosyan, A., Wahis, J., de Vin, F., Marneffe, C., Kusserow, C., Koeppen, J., Viana, J. F., Oliveira, J. F., Voet, T., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14198-8 · Cited by 805 · see citing works
Chai, H., Diaz-Castro, B., Shigetomi, E., Monte, E., Octeau, J. C., Yu, X., Cohn, W., Rajendran, P. S., Vondriska, T. M., Whitelegge, J. P., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.029 · Cited by 769 · see citing works
Self-citationAstrocytes: a central element in neurological diseases
Pekny, M., Pekna, M., Messing, A., Steinhäuser, C., Lee, J., Parpura, V., Hol, E. M., Sofroniew, M. V., & Verkhratsky, A. (2015) · Acta Neuropathologica · doi:10.1007/s00401-015-1513-1 · Cited by 755 · see citing works
The aging astrocyte transcriptome from multiple regions of the mouse brain.
Boisvert, M. M., Erikson, G. A., Shokhirev, M. N., & Allen, N. J. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.039 · Cited by 702 · see citing works
Function and therapeutic value of astrocytes in neurological diseases
Lee, H.-G., Wheeler, M. A., & Quintana, F. J. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00390-x · Cited by 662 · see citing works
Belkina, A. C., Ciccolella, C. O., Anno, R., Halpert, R., Špidlen, J., & Snyder-Cappione, J. E. (2019) · Nature Communications · doi:10.1038/s41467-019-13055-y · Cited by 624 · see citing works
Identification of diverse astrocyte populations and their malignant analogs
John Lin, C.-C., Yu, K., Hatcher, A., Huang, T.-W., Lee, H. K., Carlson, J., Weston, M. C., Chen, F., Zhang, Y., Zhu, W., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4493 · Cited by 525 · see citing works
Local generation of glia is a major astrocyte source in postnatal cortex
Ge, W.-P., Miyawaki, A., Gage, F. H., Jan, Y. N., & Jan, L. Y. (2012) · Nature · doi:10.1038/nature10959 · Cited by 507 · see citing works
Astrocytic neuroligins control astrocyte morphogenesis and synaptogenesis
Stogsdill, J. A., Ramirez, J., Liu, D., Kim, Y. H., Baldwin, K. T., Enustun, E., Ejikeme, T., Ji, R.-R., & Eroglu, C. (2017) · Nature · doi:10.1038/nature24638 · Cited by 506 · see citing works
Bayraktar, O. A., Bartels, T., Holmqvist, S., Kleshchevnikov, V., Martirosyan, A., Polioudakis, D., Ben Haim, L., Young, A. M. H., Batiuk, M. Y., Prakash, K., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0602-1 · Cited by 489 · see citing works
Self-citationSrinivasan, R., Lu, T.-Y., Chai, H., Xu, J., Huang, B. S., Golshani, P., Coppola, G., & Khakh, B. S. (2016) · Neuron · doi:10.1016/j.neuron.2016.11.030 · Cited by 443 · see citing works
Self-citationDetecting 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
Systemic AAV vectors for widespread and targeted gene delivery in rodents
Challis, R. C., Kumar, S. R., Chan, K. Y., Challis, C., Beadle, K., Jang, M. J., Kim, H. M., Rajendran, P. S., Tompkins, J. D., Shivkumar, K., et al. (2019) · Nature Protocols · doi:10.1038/s41596-018-0097-3 · Cited by 415 · see citing works
Self-citationShigetomi, E., Bushong, E. A., Haustein, M. D., Tong, X., Jackson‐Weaver, O., Kracun, S., Xu, J. P., Sofroniew, M. V., Ellisman, M. H., & Khakh, B. S. (2013) · The Journal of General Physiology · doi:10.1085/jgp.201210949 · Cited by 378 · see citing works
Self-citationSOX9 Is an Astrocyte-Specific Nuclear Marker in the Adult Brain Outside the Neurogenic Regions
Sun, W., Cornwell, A., Li, J., Peng, S., Osorio, M. J., Aalling, N., Wang, S., Benraiss, A., Lou, N., Goldman, S. A., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3199-16.2017 · Cited by 357 · see citing works
The role of astroglia in Alzheimer's disease: pathophysiology and clinical implications
Arranz, A. M., & Strooper, B. D. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30490-3 · Cited by 349 · see citing works
Benson, D. A., Karsch‐Mizrachi, I., Lipman, D. J., Ostell, J., & Sayers, E. W. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp1024 · Cited by 348 · see citing works
Insel, T. R., Landis, S. C., & Collins, F. S. (2013) · Science · doi:10.1126/science.1239276 · Cited by 342 · see citing works
Connexin 30 sets synaptic strength by controlling astroglial synapse invasion
Pannasch, U., Freche, D., Dallérac, G. M., Ghézali, G., Escartin, C., Ezan, P., Cohen‐Salmon, M., Benchenane, K., Abudara, V., Dufour, A., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3662 · Cited by 329 · see citing works
Hyperactivity with Disrupted Attention by Activation of an Astrocyte Synaptogenic Cue
Nagai, J., Rajbhandari, A. K., Gangwani, M. R., Hachisuka, A., Coppola, G., Masmanidis, S. C., Fanselow, M. S., & Khakh, B. S. (2019) · Cell · doi:10.1016/j.cell.2019.03.019 · Cited by 322 · see citing works
Self-citationAstrocyte-encoded positional cues maintain sensorimotor circuit integrity
Molofsky, A. V., Kelley, K. W., Tsai, H., Redmond, S., Chang, S., Madireddy, L., Chan, J. R., Baranzini, S. E., Ullian, E. M., & Rowitch, D. H. (2014) · Nature · doi:10.1038/nature13161 · Cited by 312 · see citing works
Behaviorally consequential astrocytic regulation of neural circuits
Nagai, J., Yu, X., Papouin, T., Cheong, E., Freeman, M. R., Monk, K. R., Hastings, M. H., Haydon, P. G., Rowitch, D. H., Shaham, S., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.12.008 · Cited by 311 · see citing works
Self-citationLanjakornsiripan, D., Pior, B., Kawaguchi, D., Furutachi, S., Tahara, T., Katsuyama, Y., Suzuki, Y., Fukazawa, Y., & Gotoh, Y. (2018) · Nature Communications · doi:10.1038/s41467-018-03940-3 · Cited by 308 · see citing works
Improved tools to study astrocytes
Yu, X., Nagai, J., & Khakh, B. S. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0264-8 · Cited by 298 · see citing works
Self-citationLee, H., Fenster, R. J., Pineda, S. S., Gibbs, W. S., Mohammadi, S., Davila-Velderrain, J., Garcia, F. J., Therrien, M., Novis, H. S., Gao, F., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.06.021 · Cited by 279 · see citing works
Molecular and Functional Properties of Regional Astrocytes in the Adult Brain
Morel, L., Chiang, M. S. R., Higashimori, H., Shoneye, T., Iyer, L. K., Yelick, J., Tai, A., & Yang, Y. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3956-16.2017 · Cited by 243 · see citing works
Jiang, R., Diaz-Castro, B., Looger, L. L., & Khakh, B. S. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.3693-15.2016 · Cited by 237 · see citing works
Self-citationYu, W., Clyne, M., Khoury, M. J., & GWINN, M. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp618 · Cited by 230 · see citing works
Jiwaji, Z., Tiwari, S. S., Avilés-Reyes, R. X., Hooley, M., Hampton, D., Torvell, M., Johnson, D. A., McQueen, J., Baxter, P., Sabari-Sankar, K., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27702-w · Cited by 223 · see citing works
Blanco‐Suárez, E., Liu, T., Kopelevich, A., & Allen, N. J. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.043 · Cited by 204 · see citing works
Kelley, K. W., Nakao-Inoue, H., Molofsky, A. V., & Oldham, M. C. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0216-z · Cited by 198 · see citing works
Multiplexed Cre-dependent selection yields systemic AAVs for targeting distinct brain cell types
Kumar, S. R., Miles, T. F., Chen, X., Brown, D. A., Dobreva, T., Huang, Q., Ding, X., Luo, Y., Einarsson, P. H., Greenbaum, A., et al. (2020) · Nature Methods · doi:10.1038/s41592-020-0799-7 · Cited by 194 · see citing works
Self-citationAstrocyte morphogenesis is dependent on BDNF signaling via astrocytic TrkB.T1
Holt, L. M., Hernandez, R. D., Pacheco, N. L., Ceja, B. T., Hossain, M., & Olsen, M. L. (2019) · eLife · doi:10.7554/elife.44667 · Cited by 170 · see citing works
Region-Specific Transcriptional Control of Astrocyte Function Oversees Local Circuit Activities
Huang, A. Y.-S., Woo, J., Sardar, D., Lozzi, B., Huerta, N. A. B., Lin, C.-C. J., Felice, D., Jain, A., Paulucci-Holthauzen, A. A., & Deneen, B. (2020) · Neuron · doi:10.1016/j.neuron.2020.03.025 · Cited by 158 · see citing works
An Optical Neuron-Astrocyte Proximity Assay at Synaptic Distance Scales
Octeau, J. C., Chai, H., Jiang, R., Bonanno, S. L., Martin, K. C., & Khakh, B. S. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.003 · Cited by 147 · see citing works
Self-citationHepaCAM controls astrocyte self-organization and coupling
Baldwin, K. T., Tan, C. X., Strader, S., Jiang, C., Savage, J. T., Elorza‐Vidal, X., Contreras, X., Rülicke, T., Hippenmeyer, S., Estévez, R., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.05.025 · Cited by 125 · see citing works
High-Speed and Scalable Whole-Brain Imaging in Rodents and Primates
Seiriki, K., Kasai, A., Hashimoto, T., Schulze, W., Niu, M., Yamaguchi, S., Nakazawa, T., Inoue, K., Uezono, S., Takada, M., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.017 · Cited by 123 · see citing works
Self-citationContext-Specific Striatal Astrocyte Molecular Responses Are Phenotypically Exploitable
Yu, X., Nagai, J., Martí-Solano, M., Soto, J. S., Coppola, G., Babu, M. M., & Khakh, B. S. (2020) · Neuron · doi:10.1016/j.neuron.2020.09.021 · Cited by 121 · see citing works
Self-citationZhou, B., Chen, L., Liao, P. S., Huang, L., Chen, Z., Liao, D., Yang, L., Wang, J., Yu, G., Wang, L., et al. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000086 · Cited by 89 · see citing works
Regionally Distinct Astrocytes Display Unique Transcription Factor Profiles in the Adult Brain
Lozzi, B., Huang, T.-W., Sardar, D., Huang, A. Y.-S., & Deneen, B. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00061 · Cited by 78 · see citing works
Molecular mechanisms of K+ clearance and extracellular space shrinkage—Glia cells as the stars
MacAulay, N. (2020) · Glia · doi:10.1002/glia.23824 · Cited by 64 · see citing works
Cell-intrinsic glial pathology is conserved across human and murine models of Huntington’s disease
Benraiss, A., Mariani, J. N., Osipovitch, M., Cornwell, A. B., Windrem, M. S., Villanueva, C. B., Chandler-Militello, D., & Goldman, S. A. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109308 · Cited by 54 · see citing works
Whole-brain block-face serial microscopy tomography at subcellular resolution using FAST
Seiriki, K., Kasai, A., Nakazawa, T., Niu, M., Naka, Y., Tanuma, M., Igarashi, H., Yamaura, K., Hayata‐Takano, A., Ago, Y., et al. (2019) · Nature Protocols · doi:10.1038/s41596-019-0148-4 · Cited by 50 · see citing works
Self-citationCho, S., Muthukumar, A. K., Stork, T., Coutinho‐Budd, J., & Freeman, M. R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1800830115 · Cited by 46 · see citing works
Lunatic Fringe-GFP Marks Lamina-Specific Astrocytes That Regulate Sensory Processing
Akdemir, E. S., Woo, J., Huerta, N. A. B., Lozzi, B., Groves, A. K., Harmancı, A. S., & Deneen, B. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1392-21.2021 · Cited by 12 · see citing works
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Yao, Z., van Velthoven, C. T. J., Kunst, M., Zhang, M., McMillen, D., Lee, C., Jung, W., Goldy, J., Abdelhak, A., Aitken, M., et al. (2023) · Nature · doi:10.1038/s41586-023-06812-z · Cited by 1,194 · see citing works
Spatial transcriptomics reveal neuron–astrocyte synergy in long-term memory
Sun, W., Liu, Z., Jiang, X., Chen, M. B., Dong, H., Liu, J., Südhof, T. C., & Quake, S. R. (2024) · Nature · doi:10.1038/s41586-023-07011-6 · Cited by 165 · see citing works
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Serrano-Pozo, A., Li, H., Li, Z., Muñoz-Castro, C., Jaisa-aad, M., Healey, M. A., Welikovitch, L. A., Jayakumar, R., Bryant, A. G., Noori, A., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01791-4 · Cited by 140 · see citing works
Chandra, S., Di Meco, A., Dodiya, H. B., Popovic, J., Cuddy, L. K., Weigle, I. Q., Zhang, X., Sadleir, K., Sisodia, S. S., & Vassar, R. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00635-2 · Cited by 58 · see citing works
Hasel, P., Cooper, M. L., Marchildon, A. E., Rufen-Blanchette, U. A., Kim, R. D., Ma, T. C., Kang, U. J., Chao, M. V., & Liddelow, S. A. (2023) · doi:10.1101/2023.04.06.535893 · Cited by 47
Preman, P., Moechars, D., Fertan, E., Wolfs, L., Serneels, L., Shah, D., Lamote, J., Poovathingal, S., Snellinx, A., Mancuso, R., et al. (2024) · EMBO Molecular Medicine · doi:10.1038/s44321-024-00162-7 · Cited by 32 · see citing works
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Asano, Y., Sasaki, D., Ikoma, Y., & Matsui, K. (2024) · Neuroscience Research · doi:10.1016/j.neures.2023.11.008 · Cited by 9 · see citing works
- Authors
- Endo, F., Kasai, A., Soto, J. S., Yu, X., Qu, Z., Hashimoto, H., Gradinaru, V., Kawaguchi, R., & Khakh, B. S.
- Affiliations
- University of California, Los Angeles (US)
- The University of Osaka (JP)
- California Institute of Technology (US)
- Institute for Open and Transdisciplinary Research Initiatives (JP)
- Corresponding author
- Khakh, Baljit S.
- ORCID
- Venue
- Science
- Published
- 2022-11-04
- Volume
- 378
- Issue
- 6619
- Pages
- eadc9020-eadc9020
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC9873482
- OpenAlex
- W4308451957
- Cited by
- 560
- References
- 61
- Citations by year
- 2026: 131 · 2025: 189 · 2024: 150 · 2023: 87 · 2022: 3
- FWCI
- 37.74
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- Japan Society for the Promotion of Science (18H05416, 20H00492)
- National Institute on Aging (R01AG075955)
- National Institute on Drug Abuse (R01DA047444)
- National Institute of Neurological Disorders and Stroke (R35NS111583)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P50HD103557)
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- astrocytes, astrocyte morphology, central nervous system, regional gene expression, gene networks, Alzheimer's disease, Alzheimer's disease risk genes, cognitive impairment, brain disorders
- MeSH terms
- Alzheimer Disease, Animals, Astrocytes, Central Nervous System, Disease Models, Animal, Humans, Mice, Transcriptome
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