Neuronal vulnerability and multilineage diversity in multiple sclerosis
Open accessAbstract
Multiple sclerosis (MS) is a neuroinflammatory disease with a relapsing-remitting disease course at early stages, distinct lesion characteristics in cortical grey versus subcortical white matter and neurodegeneration at chronic stages. Here we used single-nucleus RNA sequencing to assess changes in expression in multiple cell lineages in MS lesions and validated the results using multiplex in situ hybridization. We found selective vulnerability and loss of excitatory CUX2-expressing projection neurons in upper-cortical layers underlying meningeal inflammation; such MS neuron populations exhibited upregulation of stress pathway genes and long non-coding RNAs. Signatures of stressed oligodendrocytes, reactive astrocytes and activated microglia mapped most strongly to the rim of MS plaques. Notably, single-nucleus RNA sequencing identified phagocytosing microglia and/or macrophages by their ingestion and perinuclear import of myelin transcripts, confirmed by functional mouse and human culture assays. Our findings indicate lineage- and region-specific transcriptomic changes associated with selective cortical neuron damage and glial activation contributing to progression of MS lesions.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Focal lesions such as those in the brainstem result in axonal loss, and cortical demyelination is associated with selective neuronal loss; both are prominent determinants of progression.
“It is well established that focal lesions such as those in the brainstem result in axonal loss, and that cortical demyelination, which occurs independently of white matter lesions, is associated with selective neuronal loss18; both these degenerative features are prominent determinants of progression18,19.”
From Locus for severity implicates CNS resilience in progression of multiple sclerosis (2023) · cites this paper as [18]
The Abstract links focal plaques with progressive white-matter axonal damage, and the Results report selective loss of CUX2-expressing neurons in demyelinated cortical lesions (page numbers unavailable). The copy does not establish the brainstem-specific example, that cortical demyelination occurs independently of white-matter lesions, or that both degenerative features are prominent determinants of progression. (LLM, conf=0.84)
Experimental — accuracy not yet measuredHomozygous rs10191329 risk allele carriers demonstrated more severe MS-specific brainstem and cortical pathology, which result in axonal and neuronal degeneration respectively and drive progression.
“Besides these clinical differences, homozygous rs10191329 risk allele carriers also demonstrated more severe MS-specific brainstem and cortical pathology, which result in axonal and neuronal degeneration respectively and drive progression18,19.”
From Locus for severity implicates CNS resilience in progression of multiple sclerosis (2023) · cites this paper as [18]
The Results report degeneration and selective loss of upper-layer excitatory neurons in cortical MS lesions, and the Discussion links cortical neurodegeneration to regions involved in progression. The paper does not establish that homozygous rs10191329 carriers have more severe pathology, nor does it report brainstem pathology or show that these changes drive progression. (LLM, conf=0.87)
Experimental — accuracy not yet measuredIn the Schirmer et al. dataset, microglial cluster 1 was selectively enriched within acute/chronic active MS lesions.
“This cluster was selectively enriched within acute/chronic active MS lesions (Fig. 4 C and D and Dataset S7).”
From Acute TREM2 inhibition depletes MAFB-high microglia and hinders remyelination (2025) · cites this paper as [37]
The Results (page unavailable) map activated microglia to the boundaries of chronic-active MS lesions, and Extended Data Fig. 5 describes microglial subtypes associated with inflammatory lesion stages. Our copy does not identify the mapped cells as “microglial cluster 1” or establish selective enrichment in both acute and chronic-active lesions. (LLM, conf=0.83)
Experimental — accuracy not yet measuredMicroglia contribute to both the development and progression of MS.
“Together, these results suggest microglia contribute to both the development and progression of MS”
From Activated microglia drive demyelination via <scp>CSF1R</scp> signaling (2021) · cites this paper as Schirmer et al., 2019
The Results (page not available in our copy) identify activated, phagocytosing microglia at the rims of chronic-active MS lesions, and the Discussion links microglial activation there to lesion areas involved in progression. These findings support a suggested role in progression, but the paper does not establish a role for microglia in the initial development of MS. (LLM, conf=0.84)
Experimental — accuracy not yet measuredReanalysis of the human MS snRNA-seq dataset from Schirmer et al. showed that microglia coexpressed TREM2 and MAFB.
“A reanalysis of the human MS snRNA-seq dataset from Schirmer et al. (37) showed that microglia coexpressed TREM2 and MAFB (SI Appendix, Fig. S9 A–D).”
From Acute TREM2 inhibition depletes MAFB-high microglia and hinders remyelination (2025) · cites this paper as [37]
Reclustering of microglia in the Schirmer et al. dataset revealed three distinct clusters spanning three different MS conditions.
“Reclustering of microglia revealed three distinct clusters spanning three different MS conditions (Fig. 4 A and B and Dataset S7).”
From Acute TREM2 inhibition depletes MAFB-high microglia and hinders remyelination (2025) · cites this paper as [37]
MS lesions, particularly the rims of chronic active lesions, contain stressed OLs, reactive astrocytes, and activated phagocytosing microglia/macrophages.
“MS lesions, particularly the rims of chronic active lesions, contain stressed OLs, reactive astrocytes, and activated phagocytosing microglia/macrophages11,12,15.”
From A comparative transcriptomic analysis of mouse demyelination models and multiple sclerosis lesions (2026) · cites this paper as [12]
B2M has been shown to be upregulated in other MS datasets.
“Interestingly, B2M was not significantly upregulated by MOLs in any MS lesion type, however it has been shown to be upregulated in other MS datasets11–13.”
From A comparative transcriptomic analysis of mouse demyelination models and multiple sclerosis lesions (2026) · cites this paper as [12]
Numerous studies have found reactive microglia in both active and pre-active MS lesions, including evidence for their active phagocytosis of myelin and myelin transcripts.
“As tools for identifying and visualizing microglia have advanced, numerous studies have found reactive microglia in both active, and pre-active MS lesions (Lassmann, 2014; van der Valk & Amor, 2009; Zhang et al., 2011), including evidence for their active phagocytosis of myelin and myelin transcripts (Schirmer et al., 2019).”
From Activated microglia drive demyelination via <scp>CSF1R</scp> signaling (2021) · cites this paper as Schirmer et al., 2019
In the Schirmer et al. dataset, MAFB was also weakly expressed in inhibitory neurons.
“In this dataset, MAFB was also weakly expressed in inhibitory neurons.”
From Acute TREM2 inhibition depletes MAFB-high microglia and hinders remyelination (2025) · cites this paper as [37]
The Results section describes inhibitory-neuron markers and cell-type-specific expression, but does not report MAFB expression in inhibitory neurons. Searches for “MAFB” and “MAFB expression in inhibitory interneurons” found no passage addressing that claim in our copy. (LLM, conf=0.70)
Experimental — accuracy not yet measuredIn the Schirmer et al. dataset, microglial cluster 1 stood out due to its pronounced MAFB expression.
“Within these clusters, cluster 1 stood out due to its pronounced MAFB expression.”
From Acute TREM2 inhibition depletes MAFB-high microglia and hinders remyelination (2025) · cites this paper as [37]
The Results describe microglial clusters and list markers for homeostatic and activated cells, while Extended Data Fig. 5 describes clusters annotated a–f; neither identifies a MAFB-high cluster 1. Searches of our copy for “MAFB” and “microglial cluster 1 MAFB expression” found no passage establishing the claimed expression pattern. (LLM, conf=0.75)
Experimental — accuracy not yet measuredThe ground truth cell-type labels for the multiple sclerosis dataset were taken from the original publication of the data.
“The ground truth cell-type labels were taken from the original publication of the data [19].”
From A Deep Dive into Single-Cell RNA Sequencing Foundation Models (2023) · cites this paper as [19]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259 · see citing works
(2008) · Journal of Machine Learning Research · Cited by 33,051 · see citing works
Vos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32154-2 · Cited by 13,220 · see citing works
Neurotoxic reactive astrocytes are induced by activated microglia
Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., Bennett, M. L., Münch, A. E., Chung, W.-S., Peterson, T. C., et al. (2017) · Nature · doi:10.1038/nature21029 · Cited by 7,971 · see citing works
Self-citationTrapnell, 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
Vos, T., Allen, C., Arora, M., Barber, R. M., Bhutta, Z. A., Brown, A., Carter, A., Casey, D. C., Charlson, F. J., Chen, A. Z., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31678-6 · Cited by 7,253 · see citing works
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520 · see citing works
Microglia Sculpt Postnatal Neural Circuits in an Activity and Complement-Dependent Manner
Schafer, D. P., Lehrman, E. K., Kautzman, A. G., Koyama, R., Mardinly, A. R., Yamasaki, R., Ransohoff, R. M., Greenberg, M. E., Barres, B. A., & Stevens, B. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.026 · Cited by 4,089 · see citing works
Self-citationAxonal transection in the lesions of multiple sclerosis
Trapp, B. D., Peterson, J., Ransohoff, R. M., Rudick, R., Mörk, S., & Bö, L. (1998) · New England Journal of Medicine · doi:10.1056/nejm199801293380502 · Cited by 4,029 · see citing works
Finak, G., McDavid, A., Yajima, M., Deng, J., Gersuk, V., Shalek, A. K., Slichter, C. K., Miller, H. W., McElrath, M. J., Prlic, M., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0844-5 · Cited by 3,159 · see citing works
Reich, D. S., Lucchinetti, C. F., & Calabresi, P. A. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1401483 · Cited by 2,491 · see citing works
B-cell depletion with rituximab in relapsing-remitting multiple sclerosis
Hauser, S. L., Waubant, E., Arnold, D. L., Vollmer, T., Antel, J., Fox, R. J., Bar-Or, A., Panzara, M., Sarkar, N., Agarwal, S., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0706383 · Cited by 2,439 · see citing works
Astrocyte scar formation aids central nervous system axon regeneration
Anderson, M. A., Burda, J. E., Ren, Y., Ao, Y., O’Shea, T. M., Kawaguchi, R., Coppola, G., Khakh, B. S., Deming, T. J., & Sofroniew, M. V. (2016) · Nature · doi:10.1038/nature17623 · Cited by 1,851 · see citing works
Magliozzi, R., Howell, O. W., Vora, A., Serafini, B., Nicholas, R. S., Puopolo, M., Reynolds, R., & Aloisi, F. (2006) · Brain · doi:10.1093/brain/awm038 · Cited by 1,444 · see citing works
Self-citationPeterson, J. W., Bö, L., Mörk, S., Chang, A., & Trapp, B. D. (2001) · Annals of Neurology · doi:10.1002/ana.1123 · Cited by 1,403 · 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
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
Shekhar, K., Lapan, S. W., Whitney, I. E., Tran, N. M., Macosko, E. Z., Kowalczyk, M., Adiconis, X., Levin, J. Z., Nemesh, J., Goldman, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.054 · Cited by 1,176 · see citing works
Inflammatory cortical demyelination in early multiple sclerosis.
Lucchinetti, C. F., Popescu, B. F. G., Bunyan, R. F., Moll, N. M., Roemer, S. F., Lassmann, H., Brück, W., Parisi, J. E., Scheithauer, B. W., Giannini, C., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1100648 · Cited by 1,103 · see citing works
Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain
Lake, B. B., Ai, R., Kaeser, G. E., Salathia, N. S., Yung, Y. C., Liu, R., Wildberg, A., Gao, D., Fung, H.-L., Chen, S., et al. (2016) · Science · doi:10.1126/science.aaf1204 · Cited by 957 · see citing works
Lassmann, H. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801914-6.00001-5 · Cited by 952 · see citing works
Lassmann, H. (2018) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a028936 · Cited by 937 · see citing works
Noncoding RNA NORAD Regulates Genomic Stability by Sequestering PUMILIO Proteins
Lee, S., Kopp, F. B., Chang, T.-C., Sataluri, A., Chen, B., Sivakumar, S., Yu, H., Xie, Y., & Mendell, J. T. (2015) · Cell · doi:10.1016/j.cell.2015.12.017 · Cited by 903 · 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
A Gradient of neuronal loss and meningeal inflammation in multiple sclerosis
Magliozzi, R., Howell, O. W., Reeves, C., Roncaroli, F., Nicholas, R., Serafini, B., Aloisi, F., & Reynolds, R. (2010) · Annals of Neurology · doi:10.1002/ana.22230 · Cited by 747 · see citing works
Self-citationLoss of ‘homeostatic’ microglia and patterns of their activation in active multiple sclerosis
Zrzavy, T., Hametner, S., Wimmer, I., Butovsky, O., Weiner, H. L., & Lassmann, H. (2017) · Brain · doi:10.1093/brain/awx113 · Cited by 684 · see citing works
Disease-specific oligodendrocyte lineage cells arise in multiple sclerosis
Falcão, A. M., van Bruggen, D., Marques, S., Meijer, M., Jäkel, S., Agirre, E., Samudyata, Floriddia, E. M., Vanichkina, D. P., ffrench-Constant, C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0236-y · Cited by 579 · see citing works
Machado-Santos, J., Saji, E., Tröscher, A. R., Paunovic, M., Liblau, R., Gabriely, G., Bien, C. G., Bauer, J., & Lassmann, H. (2018) · Brain · doi:10.1093/brain/awy151 · Cited by 548 · see citing works
Iron and neurodegeneration in the multiple sclerosis brain
Hametner, S., Wimmer, I., Haider, L., Pfeifenbring, S., Brück, W., & Lassmann, H. (2013) · Annals of Neurology · doi:10.1002/ana.23974 · Cited by 519 · see citing works
Protective and therapeutic role for αB-crystallin in autoimmune demyelination
Ousman, S., Tomooka, B. H., van Noort, J., Wawrousek, E., O'Conner, K., Hafler, D., Sobel, R., Robinson, W., & Steinman, L. (2007) · Nature · doi:10.1038/nature05935 · Cited by 491 · see citing works
Slow expansion of multiple sclerosis iron rim lesions: pathology and 7 T magnetic resonance imaging
Dal-Bianco, A., Grabner, G., Kronnerwetter, C., Weber, M., Höftberger, R., Berger, T., Auff, E., Leutmezer, F., Trattnig, S., Lassmann, H., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-016-1636-z · Cited by 463 · see citing works
The topograpy of demyelination and neurodegeneration in the multiple sclerosis brain
Haider, L., Zrzavy, T., Hametner, S., Höftberger, R., Bagnato, F., Grabner, G., Trattnig, S., Pfeifenbring, S., Brück, W., & Lassmann, H. (2016) · Brain · doi:10.1093/brain/awv398 · Cited by 400 · see citing works
Generating Neuronal Diversity in the Mammalian Cerebral Cortex
Lodato, S., & Arlotta, P. (2015) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100814-125353 · Cited by 389 · see citing works
The NORAD lncRNA assembles a topoisomerase complex critical for genome stability
Munschauer, M., Nguyen, C. T., Sirokman, K., Hartigan, C. R., Hogstrom, L. J., Engreitz, J., Ulirsch, J. C., Fulco, C. P., Subramanian, V., Chen, J., et al. (2018) · Nature · doi:10.1038/s41586-018-0453-z · Cited by 388 · see citing works
Mitochondrial DNA deletions and neurodegeneration in multiple sclerosis
Campbell, G. R., Ziabreva, I., Reeve, A. K., Krishnan, K. J., Reynolds, R., Howell, O., Lassmann, H., Turnbull, D. M., & Mahad, D. (2011) · Annals of Neurology · doi:10.1002/ana.22109 · Cited by 379 · see citing works
Self-citationPersistent 7-tesla phase rim predicts poor outcome in new multiple sclerosis patient lesions
Absinta, M., Sati, P., Schindler, M., Leibovitch, E. C., Ohayon, J., Wu, T., Meani, A., Filippi, M., Jacobson, S., Cortese, I. C. M., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci86198 · Cited by 327 · see citing works
Dendritic BC200 RNA in aging and in Alzheimer's disease
Mus, E., Hof, P. R., & Tiedge, H. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701532104 · Cited by 311 · see citing works
Disease-specific molecular events in cortical multiple sclerosis lesions
Fischer, M. T., Wimmer, I., Höftberger, R., Gerlach, S., Haider, L., Zrzavy, T., Hametner, S., Mahad, D., Binder, C. J., Krumbholz, M., et al. (2013) · Brain · doi:10.1093/brain/awt110 · Cited by 311 · see citing works
NS21: Re-defined and modified supplement B27 for neuronal cultures
Chen, Y., Stevens, B., Chang, J., Milbrandt, J., Barres, B. A., & Hell, J. W. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.03.013 · Cited by 301 · see citing works
Meguro, R., Asano, Y., Odagiri, S., Li, C., Iwatsuki, H., & Shoumura, K. (2007) · Archivum histologicum japonicum · doi:10.1679/aohc.70.1 · Cited by 261 · see citing works
Fard, M. K., van der Meer, F., Sánchez, P., Cantuti-Castelvetri, L., Mandad, S., Jäkel, S., Fornasiero, E. F., Schmitt, S., Ehrlich, M., Starost, L., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aam7816 · Cited by 247 · see citing works
Gadea, A., Schinelli, S., & Gallo, V. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5652-07.2008 · Cited by 241 · see citing works
Cortical remyelination: A new target for repair therapies in multiple sclerosis
Chang, A., Staugaitis, S. M., Dutta, R., Batt, C. E., Easley, K. E., Chomyk, A. M., Yong, V. W., Fox, R. J., Kidd, G. J., & Trapp, B. D. (2012) · Annals of Neurology · doi:10.1002/ana.23693 · Cited by 216 · see citing works
A gradient in cortical pathology in multiple sclerosis by in vivo quantitative 7 T imaging
Mainero, C., Louapre, C., Govindarajan, S. T., Giannì, C., Nielsen, A. S., Cohen‐Adad, J., Sloane, J. A., & Kinkel, R. P. (2015) · Brain · doi:10.1093/brain/awv011 · Cited by 164 · see citing works
Trapp, B. D., Vignos, M., Dudman, J., Chang, A., Fisher, E., Staugaitis, S. M., Battapady, H., Mork, S., Ontaneda, D., Jones, S. E., et al. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30245-x · Cited by 146 · see citing works
Neuronal Nuclei Isolation from Human Postmortem Brain Tissue
Matevossian, A., & Akbarian, S. (2008) · Journal of Visualized Experiments · doi:10.3791/914 · Cited by 126 · see citing works
Schirmer, L., Antel, J. P., Brück, W., & Stadelmann, C. (2010) · Brain Pathology · doi:10.1111/j.1750-3639.2010.00466.x · Cited by 109 · see citing works
Self-citationNeuronal loss, demyelination and volume change in the multiple sclerosis neocortex
Carassiti, D., Altmann, D. R., Petrova, N., Pakkenberg, B., Scaravilli, F., & Schmierer, K. (2017) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12405 · Cited by 90 · see citing works
The distribution of myelin basic protein mRNAs within myelinating oligodendrocytes
Brophy, P., Boccaccio, G. L., & Colman, D. (1993) · Trends in Neurosciences · doi:10.1016/0166-2236(93)90196-s · Cited by 81 · see citing works
Pasetto, L., Pozzi, S., Castelnovo, M., Basso, M., Estévez, Á. G., Fumagalli, S., Simoni, M. G. D., Castellaneta, V., Bigini, P., Restelli, E., et al. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2462-16.2016 · Cited by 52 · see citing works
Werneburg, S., Mühlenhoff, M., Stangel, M., & Hildebrandt, H. (2015) · Glia · doi:10.1002/glia.22815 · Cited by 49 · see citing works
Self-citationDifferential loss of KIR4.1 immunoreactivity in multiple sclerosis lesions
Schirmer, L., Srivastava, R., Kalluri, S. R., Böttinger, S., Herwerth, M., Carassiti, D., Srivastava, B., Gempt, J., Schlegel, J., Kuhlmann, T., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24168 · Cited by 45 · see citing works
Self-citationProtective and Therapeutic Role for α B-Crystallin in Autoimmune Demyelination
Ousman, S. S., Tomooka, B. H., van Noort, J. M., O'Conner, K., Wawrousek, E. F., Hafler, D. A., Sobel, R. A., Robinson, W. H., & Steinman, L. (2007) · Clinical Immunology · doi:10.1016/j.clim.2007.03.034 · Cited by 24 · see citing works
Myelin Proteome Analysis: Methods and Implications for the Myelin Cytoskeleton
Jahn, O., Tenzer, S., Bartsch, N., Patzig, J., & Werner, H. B. (2012) · Neuromethods · doi:10.1007/978-1-62703-266-7_15 · Cited by 21 · see citing works
Single-cell in situ transcriptomic map of astrocyte cortical layer diversityPreprint
Bayraktar, O. A., Bartels, T., Polioudakis, D., Holmqvist, S., Haim, L. B., Young, A. M. H., Prakash, K., Brown, A. P. Y., Paredes, M. F., Kawaguchi, R., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/432104 · Cited by 16 · see citing works
Self-citationKirby, L. A., Jin, J., Cardona, J. G., Smith, M. D., Martin, K. A., Wang, J., Strasburger, H. J., Herbst, L., Alexis, M., Karnell, J. L., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/461434 · Cited by 3 · see citing works
Diagnostic criteria for primary progressive mutiple sclerosis: a position paper.
(2000) · Pure Amsterdam UMC · doi:10.1002/1531-8249(200006)47:6 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [50]Jahn O Tenzer S Bartsch N Patzig J Werner HB Humana Press Totowa, NJ 2013 79 335 353
Cited by
Sorted by citations
scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI
Cui, H., Wang, C., Maan, H., Pang, K., Luo, F., & Wang, B. (2023) · doi:10.1101/2023.04.30.538439 · Cited by 1,383 · see citing works
“785 [78], is accessed from EMBL-EBI (https://www.”
A guide to the composition and functions of the extracellular matrix
Karamanos, N. K., Theocharis, A. D., Piperigkou, Z., Manou, D., Passi, A. G., Skandalis, S. S., Vynios, D. H., Orian‐Rousseau, V., Ricard‐Blum, S., Schmelzer, C. E. H., et al. (2021) · FEBS Journal · doi:10.1111/febs.15776 · Cited by 1,100 · see citing works
Confronting false discoveries in single-cell differential expression
Squair, J. W., Gautier, M., Kathe, C., Anderson, M. A., James, N. D., Hutson, T. H., Hudelle, R., Qaiser, T., Matson, K. J. E., Barraud, Q., et al. (2021) · doi:10.1101/2021.03.12.435024 · Cited by 1,017 · see citing works
Transcriptomic diversity of cell types across the adult human brain
Siletti, K., Hodge, R., Mossi Albiach, A., Lee, K. W., Ding, S.-L., Hu, L., Lönnerberg, P., Bakken, T., Casper, T., Clark, M., et al. (2023) · Science · doi:10.1126/science.add7046 · Cited by 832 · see citing works
Microglia: Immune and non-immune functions
Borst, K., Dumas, A. A., & Prinz, M. (2021) · Immunity · doi:10.1016/j.immuni.2021.09.014 · Cited by 804 · see citing works
A human brain vascular atlas reveals diverse mediators of Alzheimer’s risk
Yang, A. C., Vest, R. T., Kern, F., Lee, D. P., Agam, M., Maat, C. A., Losada, P. M., Chen, M. B., Schaum, N., Khoury, N., et al. (2022) · Nature · doi:10.1038/s41586-021-04369-3 · Cited by 797 · see citing works
A lymphocyte–microglia–astrocyte axis in chronic active multiple sclerosis
Absinta, M., Maric, D., Gharagozloo, M., Garton, T., Smith, M. D., Jin, J., Fitzgerald, K. C., Song, A., Liu, P., Lin, J.-P., et al. (2021) · Nature · doi:10.1038/s41586-021-03892-7 · Cited by 768 · see citing works
Self-citationAstrocyte Reactivity: Subtypes, States, and Functions in CNS Innate Immunity
Sofroniew, M. V. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.07.004 · Cited by 721 · see citing works
Multiple sclerosis progression: time for a new mechanism-driven framework
Kuhlmann, T., Moccia, M., Coetzee, T., Cohen, J. A., Correale, J., Graves, J., Marrie, R. A., Montalban, X., Yong, V. W., Thompson, A. J., et al. (2023) · The Lancet Neurology · doi:10.1016/s1474-4422(22)00289-7 · Cited by 667 · see citing works
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
MAFG-driven astrocytes promote CNS inflammation
Wheeler, M. A., Clark, I. C., Tjon, E. C., Li, Z., Zandee, S. E. J., Couturier, C. P., Watson, B. R., Scalisi, G., Alkwai, S., Rothhammer, V., et al. (2020) · Nature · doi:10.1038/s41586-020-1999-0 · Cited by 501 · see citing works
Myelin dysfunction drives amyloid-β deposition in models of Alzheimer’s disease
Depp, C., Sun, T., Sasmita, A. O., Spieth, L., Berghoff, S. A., Nazarenko, T., Overhoff, K., Steixner-Kumar, A. A., Subramanian, S., Arinrad, S., et al. (2023) · Nature · doi:10.1038/s41586-023-06120-6 · Cited by 476 · see citing works
Mapping microglia states in the human brain through the integration of high-dimensional techniques
Sankowski, R., Böttcher, C., Masuda, T., Geirsdottir, L., Sagar, Sindram, E., Seredenina, T., Muhs, A., Scheiwe, C., Shah, M. J., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0532-y · Cited by 449 · 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
The immunology of multiple sclerosis
Attfield, K. E., Jensen, L. T., Kaufmann, M., Friese, M. A., & Fugger, L. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-022-00718-z · Cited by 380 · see citing works
Self-citationB cells in autoimmune and neurodegenerative central nervous system diseases
Sabatino, J. J., Pröbstel, A., & Zamvil, S. S. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0233-2 · Cited by 347 · see citing works
Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease
Piwecka, M., Rajewsky, N., & Rybak-Wolf, A. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00809-y · Cited by 320 · see citing works
De Schepper, S., Ge, J. Z., Sierksma, A., Crowley, G., Ferreira, L. S. S., Garceau, D., Toomey, C. E., Sokolova, D., Rueda-Carrasco, J., Shin, S.-H., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01257-z · Cited by 295 · see citing works
Microglial phagocytosis of neurons in neurodegeneration, and its regulation
Butler, C. A., Popescu, A. S., Kitchener, E. J. A., Allendorf, D. H., Puigdellívol, M., & Brown, G. C. (2021) · Journal of Neurochemistry · doi:10.1111/jnc.15327 · Cited by 293 · see citing works
Barcoded viral tracing of single-cell interactions in central nervous system inflammation
Clark, I. C., Gutiérrez-Vázquez, C., Wheeler, M. A., Li, Z., Rothhammer, V., Linnerbauer, M., Sanmarco, L. M., Guo, L., Blain, M., Zandee, S. E. J., et al. (2021) · Science · doi:10.1126/science.abf1230 · Cited by 285 · see citing works
Fernández-Calle, R., Konings, S. C., Frontiñán-Rubio, J., García-Revilla, J., Camprubí-Ferrer, L., Svensson, M., Martinson, I., Boza-Serrano, A., Venero, J. L., Nielsen, H. M., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00566-4 · Cited by 278 · see citing works
UCSC Cell Browser: visualize your single-cell data
Speir, M. L., Bhaduri, A., Markov, N. S., Moreno, P. A., Nowakowski, T. J., Papatheodorou, I., Pollen, A. A., Raney, B. J., Seninge, L., Kent, W. J., et al. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab503 · Cited by 274 · see citing works
Self-citationCell type prioritization in single-cell data
Skinnider, M. A., Squair, J. W., Kathe, C., Anderson, M. A., Gautier, M., Matson, K. J. E., Milano, M., Hutson, T. H., Barraud, Q., Phillips, A. A., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-020-0605-1 · Cited by 274 · see citing works
Cytokines in CAR T Cell–Associated Neurotoxicity
Gust, J., Ponce, R. A., Liles, W. C., Garden, G. A., & Turtle, C. J. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.577027 · Cited by 268 · see citing works
Locus for severity implicates CNS resilience in progression of multiple sclerosis
International Multiple Sclerosis Genetics Consortium, Harroud, A., Stridh, P., McCauley, J. L., Saarela, J., van den Bosch, A. M. R., Engelenburg, H. J., Beecham, A. H., Alfredsson, L., Alikhani, K., et al. (2023) · Nature · doi:10.1038/s41586-023-06250-x · Cited by 243 · see citing works
Single-Cell Sequencing of Brain Cell Transcriptomes and Epigenomes
Armand, E. J., Li, J., Xie, F., Luo, C., & Mukamel, E. A. (2021) · Neuron · doi:10.1016/j.neuron.2020.12.010 · Cited by 241 · see citing works
Jagadeesh, K. A., Dey, K. K., Montoro, D. T., Mohan, R., Gazal, S., Engreitz, J. M., Xavier, R. J., Price, A. L., & Regev, A. (2022) · Nature Genetics · doi:10.1038/s41588-022-01187-9 · Cited by 239 · see citing works
Mitochondrial complex I activity in microglia sustains neuroinflammation
Peruzzotti-Jametti, L., Willis, C. M., Krzak, G., Hamel, R., Pirvan, L., Ionescu, R.-B., Reisz, J. A., Prag, H. A., Garcia-Segura, M. E., Wu, V., et al. (2024) · Nature · doi:10.1038/s41586-024-07167-9 · Cited by 239 · see citing works
Multiple sclerosis: Neuroimmune crosstalk and therapeutic targeting
Charabati, M., Wheeler, M. A., Weiner, H. L., & Quintana, F. J. (2023) · Cell · doi:10.1016/j.cell.2023.03.008 · Cited by 229 · see citing works
Disease-associated oligodendrocyte responses across neurodegenerative diseases
Pandey, S., Shen, K., Lee, S.-H., Shen, Y.-A. A., Wang, Y., Otero-García, M., Kotova, N., Vito, S. T., Laufer, B. I., Newton, D. F., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111189 · Cited by 227 · see citing works
Wang, C., Duan, Y., Duan, G., Wang, Q., Zhang, K., Deng, X., Qian, B., Gu, J., Ma, Z., Zhang, S., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.06.019 · Cited by 227 · see citing works
Microglia and Astrocytes in Disease: Dynamic Duo or Partners in Crime?
Liddelow, S. A., Marsh, S. E., & Stevens, B. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.07.006 · Cited by 226 · see citing works
Gut microbiota–specific IgA + B cells traffic to the CNS in active multiple sclerosis
Pröbstel, A., Zhou, X., Baumann, R., Wischnewski, S., Kutza, M., Rojas, O. L., Sellrie, K., Bischof, A., Kim, K., Ramesh, A., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.abc7191 · Cited by 226 · see citing works
Self-citationCD8+ T cells induce interferon-responsive oligodendrocytes and microglia in white matter aging
Kaya, T., Mattugini, N., Liu, L., Ji, H., Cantuti-Castelvetri, L., Wu, J., Schifferer, M., Groh, J., Martini, R., Besson-Girard, S., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01183-6 · Cited by 224 · see citing works
Tran, M. N., Maynard, K. R., Spangler, A., Huuki, L. A., Montgomery, K. D., Sadashivaiah, V., Tippani, M., Barry, B. K., Hancock, D. B., Hicks, S. C., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.09.001 · Cited by 219 · see citing works
Glial and myeloid heterogeneity in the brain tumour microenvironment
Andersen, B. M., Akl, C. F., Wheeler, M. A., Chiocca, E. A., Reardon, D. A., & Quintana, F. J. (2021) · Nature reviews. Cancer · doi:10.1038/s41568-021-00397-3 · Cited by 211 · see citing works
Diverse human astrocyte and microglial transcriptional responses to Alzheimer’s pathology
Smith, A. M., Davey, K., Tsartsalis, S., Khozoie, C., Fancy, N., Tang, S. S., Liaptsi, E., Weinert, M., McGarry, A., Muirhead, R. C. J., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-021-02372-6 · Cited by 209 · see citing works
Imaging chronic active lesions in multiple sclerosis: a consensus statement
Bagnato, F. R., Sati, P., Hemond, C. C., Elliott, C., Gauthier, S. A., Harrison, D. M., Mainero, C., Oh, J., Pitt, D., Shinohara, R. T., et al. (2024) · Brain · doi:10.1093/brain/awae013 · Cited by 207 · see citing works
Transcriptional profiling and therapeutic targeting of oxidative stress in neuroinflammation
Mendiola, A. S., Ryu, J. K., Bardehle, S., Meyer-Franke, A., Ang, K. K.-H., Wilson, C., Baeten, K. M., Hanspers, K., Merlini, M., Thomas, S., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0654-0 · Cited by 199 · see citing works
The neuropathobiology of multiple sclerosis
Woo, M. S., Engler, J. B., & Friese, M. A. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00823-z · Cited by 194 · see citing works
Self-citationLi, J., Pan, L., Pembroke, W. G., Rexach, J. E., Godoy, M. I., Condro, M. C., Alvarado, A. G., Harteni, M., Chen, Y., Stiles, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24232-3 · Cited by 187 · see citing works
Microglia in multiple sclerosis: protectors turn destroyers
Yong, V. W. (2022) · Neuron · doi:10.1016/j.neuron.2022.06.023 · Cited by 185 · see citing works
CNS remyelination and inflammation: From basic mechanisms to therapeutic opportunities
Franklin, R. J. M., & Simons, M. (2022) · Neuron · doi:10.1016/j.neuron.2022.09.023 · Cited by 184 · see citing works
Self-citationMicroglia regulation of central nervous system myelin health and regeneration
Kent, S. A., & Miron, V. E. (2024) · Nature Reviews Immunology · doi:10.1038/s41577-023-00907-4 · Cited by 183 · see citing works
Astrocyte-oligodendrocyte interaction regulates central nervous system regeneration
Molina-Gonzalez, I., Holloway, R. K., Jiwaji, Z., Dando, O., Kent, S. A., Emelianova, K., Lloyd, A. F., Forbes, L. H., Mahmood, A., Skripuletz, T., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39046-8 · Cited by 176 · see citing works
“We analysed published single nuclei sequencing data of distinct MS lesion types in which remyelination potential is high ( ‘ active ’ ) or poor ( ‘ inactive ’ ) compared to previously remyelinated lesions ( ‘ remyelinated ’ ) and controls who died of non-neurological causes 29 .”
InfluentialMechanisms underlying progression in multiple sclerosis
Absinta, M., Lassmann, H., & Trapp, B. D. (2020) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000818 · Cited by 175 · see citing works
Simple and effective embedding model for single-cell biology built from ChatGPT
Chen, Y. T., & Zou, J. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01284-6 · Cited by 172 · see citing works
CSF1R signaling is a regulator of pathogenesis in progressive MS
Hagan, N., Kane, J. L. J., Grover, D., Woodworth, L. A., Madore, C., Saleh, J., Sancho, J., Liu, J., Li, Y., Proto, J. D., et al. (2020) · Cell Death and Disease · doi:10.1038/s41419-020-03084-7 · Cited by 162 · see citing works
Precision drug delivery to the central nervous system using engineered nanoparticles
Gao, J., Xia, Z. J., Gunasekar, S., Jiang, C., Karp, J. M., & Joshi, N. (2024) · Nature Reviews Materials · doi:10.1038/s41578-024-00695-w · Cited by 162 · see citing works
Multiomic spatial landscape of innate immune cells at human central nervous system borders
Sankowski, R., Süß, P., Benkendorff, A., Böttcher, C., Fernandez-Zapata, C., Chhatbar, C., Cahueau, J., Monaco, G., Gasull, A. D., Khavaran, A., et al. (2024) · Nature Medicine · doi:10.1038/s41591-023-02673-1 · Cited by 156 · see citing works
Microglial autophagy–associated phagocytosis is essential for recovery from neuroinflammation
Berglund, R., Guerreiro-Cacais, A. O., Adzemovic, M. Z., Zeitelhofer, M., Lund, H., Ewing, E., Ruhrmann, S., Nutma, E., Parsa, R., Thessen-Hedreul, M., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.abb5077 · Cited by 149 · see citing works
Activated microglia drive demyelination via <scp>CSF1R</scp> signaling
Marzan, D. E., Brügger‐Verdon, V., West, B. L., Liddelow, S., Samanta, J., & Salzer, J. L. (2021) · Glia · doi:10.1002/glia.23980 · Cited by 147 · see citing works
“…visualizing microglia have advanced, numerous studies have found reactive microglia in both active, and preactive MS lesions (Lassmann, 2014; van der Valk & Amor, 2009; Zhang et al., 2011), including evidence for their active phagocytosis of myelin and myelin transcripts (Schirmer et al., 2019).”
BackgroundBrain-wide cell-type-specific transcriptomic signatures of healthy ageing in mice
Jin, K., Yao, Z., van Velthoven, C. T. J., Kaplan, E. S., Glattfelder, K. J., Barlow, S. T., Boyer, G., Carey, D., Casper, T., Chakka, A. B., et al. (2025) · Nature · doi:10.1038/s41586-024-08350-8 · Cited by 147 · see citing works
Brain macrophage development, diversity and dysregulation in health and disease
Silvin, A., Qian, J., & Ginhoux, F. (2023) · Cellular & Molecular Immunology · doi:10.1038/s41423-023-01053-6 · Cited by 137 · see citing works
Multiple sclerosis: molecular pathogenesis and therapeutic intervention
Boutitah-Benyaich, I., Eixarch, H., Villacieros‐Álvarez, J., Hervera, A., Cobo‐Calvo, Á., Montalbán, X., & Espejo, C. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02415-4 · Cited by 136 · see citing works
Disease-associated astrocyte epigenetic memory promotes CNS pathology
Lee, H., Rone, J. M., Li, Z., Akl, C. F., Shin, S., Lee, J.-H., Flausino, L. E., Pernin, F., Chao, C., Kleemann, K. L., et al. (2024) · Nature · doi:10.1038/s41586-024-07187-5 · Cited by 135 · see citing works
RIPK1 activation mediates neuroinflammation and disease progression in multiple sclerosis
Zelic, M., Pontarelli, F., Woodworth, L. A., Zhu, C., Mahan, A. L., Ren, Y., LaMorte, M. J., Gruber, R. C., Keane, A. M., Loring, P., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109112 · Cited by 134 · see citing works
TGF-β as a Key Modulator of Astrocyte Reactivity: Disease Relevance and Therapeutic Implications
Luo, J. (2022) · Biomedicines · doi:10.3390/biomedicines10051206 · Cited by 129 · see citing works
Identification of early neurodegenerative pathways in progressive multiple sclerosis
Kaufmann, M., Schaupp, A.-L., Sun, R., Coscia, F., Dendrou, C. A., Cortés, A., Kaur, G., Evans, H. G., Mollbrink, A., Navarro, J. F., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01097-3 · Cited by 128 · see citing works
Self-citationCellular architecture of evolving neuroinflammatory lesions and multiple sclerosis pathology
Kukanja, P., Langseth, C. M., Rubio Rodríguez-Kirby, L. A., Agirre, E., Zheng, C., Raman, A., Yokota, C., Avenel, C., Tiklová, K., Guerreiro-Cacais, A. O., et al. (2024) · Cell · doi:10.1016/j.cell.2024.02.030 · Cited by 124 · see citing works
Martins-Ferreira, R., Calafell-Segura, J., Leal, B., Rodríguez-Ubreva, J., Martínez-Saez, E., Mereu, E., Pinho E Costa, P., Laguna, A., & Ballestar, E. (2025) · Nature Communications · doi:10.1038/s41467-025-56124-1 · Cited by 123 · see citing works
Neuron-Oligodendrocyte Interactions in the Structure and Integrity of Axons
Duncan, G. J., Simkins, T., & Emery, B. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.653101 · Cited by 121 · see citing works
Neurodegeneration and demyelination in multiple sclerosis
Garton, T. P., Gadani, S. P., Gill, A. J., & Calabresi, P. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.05.025 · Cited by 122 · see citing works
Thinking outside the box: non-canonical targets in multiple sclerosis
Bierhansl, L., Hartung, H., Aktaş, O., Ruck, T., Roden, M., & Meuth, S. G. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00477-5 · Cited by 119 · see citing works
The neural stem cell secretome and its role in brain repair
Willis, C. M., Nicaise, A. M., Peruzzotti‐Jametti, L., & Pluchino, S. (2019) · Brain Research · doi:10.1016/j.brainres.2019.146615 · Cited by 117 · see citing works
Inflammation in multiple sclerosis: consequences for remyelination and disease progression
Klotz, L., Antel, J. P., & Kuhlmann, T. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00801-6 · Cited by 102 · see citing works
Remyelination and ageing: Reversing the ravages of time
Neumann, B., Segel, M., Chalut, K. J., & Franklin, R. J. M. (2019) · Multiple Sclerosis Journal · doi:10.1177/1352458519884006 · Cited by 113 · see citing works
Self-citationRoles and regulation of microglia activity in multiple sclerosis: insights from animal models
Distéfano‐Gagné, F., Bitarafan, S., Lacroix, S., & Gosselin, D. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00709-6 · Cited by 112 · see citing works
Oligodendrocytes and Microglia: Key Players in Myelin Development, Damage and Repair
Kalafatakis, I., & Karagogeos, D. (2021) · Biomolecules · doi:10.3390/biom11071058 · Cited by 111 · see citing works
Neuron-specific activation of necroptosis signaling in multiple sclerosis cortical grey matter
Picón, C., Jayaraman, A., James, R., Beck, C., Gallego, P., Witte, M. E., van Horssen, J., Mazarakis, N. D., & Reynolds, R. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02274-7 · Cited by 108 · see citing works
Self-citationO’Connor, L. M., O’Connor, B. A., Lim, S. B., Zeng, J., & Lo, C. H. (2023) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2023.06.011 · Cited by 108 · see citing works
The roles of microglia and astrocytes in myelin phagocytosis in the central nervous system
Xu, T., Liu, C., Deng, S., Gan, L., Zhang, Z., Yang, G., Tian, H., & Tang, Y. (2022) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x221137762 · Cited by 106 · see citing works
Hong, J. S., Arneson, D. V., Umar, S., Ruffenach, G., Cunningham, C. M., Ahn, I. S., Diamante, G., Bhetraratana, M., Park, J. F., Said, E., et al. (2020) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202006-2169oc · Cited by 104 · see citing works
VEGF-C prophylaxis favors lymphatic drainage and modulates neuroinflammation in a stroke model
Boisserand, L. S. B., Geraldo, L. H., Bouchart, J., Kamouh, M.-R. E., Lee, S., Sanganahalli, B. G., Spajer, M., Zhang, S., Lee, S., Parent, M. J., et al. (2024) · The Journal of Experimental Medicine · doi:10.1084/jem.20221983 · Cited by 102 · see citing works
Myelin insulation as a risk factor for axonal degeneration in autoimmune demyelinating disease
Schäffner, E., Bosch-Queralt, M., Edgar, J. M., Lehning, M., Strauß, J., Fleischer, N., Kungl, T., Wieghofer, P., Berghoff, S. A., Reinert, T., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01366-9 · Cited by 101 · see citing works
Wang, M., Song, W., Chen, M., Wang, Q., Zhou, X., Xu, P., Krek, A., Yoon, Y., Ho, L., Orr, M. E., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00517-z · Cited by 100 · see citing works
Chamling, X., Kallman, A., Fang, W., Berlinicke, C. A., Mertz, J. L., Devkota, P., Pantoja, I. E. M., Smith, M. D., Ji, Z., Chang, C. K. W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20892-3 · Cited by 99 · see citing works
Elkjaer, M. L., Frisch, T., Reynolds, R., Kacprowski, T., Burton, M., Kruse, T. A., Thomassen, M., Baumbach, J., & Illés, Z. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0855-7 · Cited by 96 · see citing works
Self-citationKaufmann, M., Evans, H. G., Schaupp, A.-L., Engler, J. B., Kaur, G., Willing, A., Kursawe, N., Schubert, C., Attfield, K. E., Fugger, L. H., et al. (2021) · Med · doi:10.1016/j.medj.2021.01.006 · Cited by 95 · see citing works
Self-citationB cell depletion therapy does not resolve chronic active multiple sclerosis lesions
Maggi, P., Bulcke, C. V., Pedrini, E., Bugli, C., Sellimi, A., Wynen, M., Stölting, A., Mullins, W. A., Kalaitzidis, G., Lolli, V., et al. (2023) · eBioMedicine · doi:10.1016/j.ebiom.2023.104701 · Cited by 92 · see citing works
Magliozzi, R., Howell, O. W., Calabrese, M., & Reynolds, R. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00838-7 · Cited by 94 · see citing works
Self-citationAnnotation of cell types (ACT): a convenient web server for cell type annotation
Quan, F., Liang, X., Cheng, M., Yang, H., Liu, K., He, S., Sun, S., Deng, M., He, Y., Liu, W., et al. (2023) · Genome Medicine · doi:10.1186/s13073-023-01249-5 · Cited by 91 · see citing works
White matter microglia heterogeneity in the CNS
Amor, S., McNamara, N. B., Gerrits, E., Marzin, M. C., Kooistra, S. M., Miron, V. E., & Nutma, E. (2022) · Acta Neuropathologica · doi:10.1007/s00401-021-02389-x · Cited by 89 · see citing works
Diversity of Reactive Astrogliosis in CNS Pathology: Heterogeneity or Plasticity?
Moulson, A. J., Squair, J. W., Franklin, R. J. M., Tetzlaff, W., & Assinck, P. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.703810 · Cited by 90 · see citing works
Self-citationAltered cell and RNA isoform diversity in aging Down syndrome brains
Palmer, C. R., Liu, C. S., Romanow, W. J., Lee, M.-H., & Chun, J. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2114326118 · Cited by 89 · 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
Jafari, M., Schumacher, A.-M., Snaidero, N., Gavilanes, E. M. U., Neziraj, T., Kocsis-Jutka, V., Engels, D., Jürgens, T., Wagner, I., Weidinger, J. D. F., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00780-7 · Cited by 88 · see citing works
Glial Glutamine Homeostasis in Health and Disease
Andersen, J. V., & Schousboe, A. (2022) · Neurochemical Research · doi:10.1007/s11064-022-03771-1 · Cited by 88 · see citing works
van Olst, L., Rodriguez-Mogeda, C., Picon, C., Kiljan, S., James, R. E., Kamermans, A., van der Pol, S. M. A., Knoop, L., Michailidou, I., Drost, E., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02293-4 · Cited by 87 · see citing works
Self-citationHou, J., Zhou, Y., Cai, Z., Terekhova, M., Swain, A., Andhey, P. S., Guimaraes, R. M., Ulezko Antonova, A., Qiu, T., Sviben, S., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112293 · Cited by 85 · see citing works
CellPLM: Pre-training of Cell Language Model Beyond Single CellsPreprint
Wen, H., Tang, W., Dai, X., Ding, J., Jin, W., Xie, Y., & Tang, J. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.03.560734 · Cited by 85 · see citing works
Wang, Q., Wang, M., Choi, I., Sarrafha, L., Liang, M., Ho, L., Farrell, K. W., Beaumont, K. G., Sebra, R., Sanctis, C. D., et al. (2024) · Science Advances · doi:10.1126/sciadv.adi8287 · Cited by 82 · see citing works
A novel P2X2‐dependent purinergic mechanism of enteric gliosis in intestinal inflammation
Schneider, R., Leven, P., Glowka, T. R., Kuzmanov, I., Lysson, M., Schneiker, B., Miesen, A., Baqi, Y., Spanier, C., Grants, I. S., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.202012724 · Cited by 80 · 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
Cross-Talk of the CNS With Immune Cells and Functions in Health and Disease
Matejuk, A., Vandenbark, A. A., & Offner, H. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.672455 · Cited by 79 · see citing works
Selective vulnerability of inhibitory networks in multiple sclerosis
Zoupi, L., Booker, S. A., Eigel, D., Werner, C., Kind, P. C., Spires‐Jones, T. L., Newland, B., & Williams, A. (2021) · Acta Neuropathologica · doi:10.1007/s00401-020-02258-z · Cited by 77 · see citing works
Cell type mapping reveals tissue niches and interactions in subcortical multiple sclerosis lesions
Lerma-Martin, C., Badia-i-Mompel, P., Ramirez Flores, R. O., Sekol, P., Schäfer, P. S. L., Riedl, C. J., Hofmann, A., Thäwel, T., Wünnemann, F., Ibarra-Arellano, M. A., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01796-z · Cited by 76 · see citing works
“Snap-frozen tissue blocks were dissected into 16-µm-thick sections using a Leica Microsystems CM3050S cryostat, placed on VWR super-frost plus microscope slides and stored at −80 °C. Histopathological assessment was performed using IHC for CD68 and CD163 as described previously 23 .”
InfluentialSelf-citationLee, S.-H., Rezzonico, M. G., Friedman, B. A., Huntley, M. H., Meilandt, W. J., Pandey, S., Chen, Y.-J. J., Easton, A. E., Modrusan, Z. D., Hansen, D. V., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110158 · Cited by 76 · see citing works
Single-cell analysis reveals inflammatory interactions driving macular degeneration
Kuchroo, M. R., DiStasio, M., Song, E., Calapkulu, E., Zhang, L., Ige, M., Sheth, A. H., Majdoubi, A., Menon, M., Tong, A., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-37025-7 · Cited by 76 · see citing works
Profiling of microglia nodules in multiple sclerosis reveals propensity for lesion formation
van den Bosch, A. M. R., van der Poel, M., Fransen, N. L., Vincenten, M. C. J., Bobeldijk, A. M., Jongejan, A., Engelenburg, H. J., Moerland, P. D., Smolders, J., Huitinga, I., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46068-3 · Cited by 76 · see citing works
- Authors
- Schirmer, L., Velmeshev, D., Holmqvist, S., Kaufmann, M., Werneburg, S., Jung, D., Vistnes, S., Stockley, J. H., Young, A., Steindel, M., Tung, B., Goyal, N., Bhaduri, A., Mayer, S., Engler, J. B., Bayraktar, O. A., Franklin, R. J. M., Haeussler, M., Reynolds, R., Schafer, D. P., Friese, M. A., Shiow, L. R., Kriegstein, A. R., & Rowitch, D. H.
- Affiliations
- University of California, San Francisco (US)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- Universität Hamburg (DE)
- University of Massachusetts Chan Medical School (US)
- University of California, Santa Cruz (US)
- Imperial College London (GB)
- Corresponding author
- Kriegstein, Arnold R.
- Rowitch, David H.
- ORCID
- Schirmer, Lucas
- Velmeshev, Dmitry
- Holmqvist, Staffan
- Kaufmann, Max
- Werneburg, Sebastian
- Vistnes, Stephanie
- Stockley, John H.
- Steindel, Maike
- Bhaduri, Aparna
- Mayer, Simone
- Engler, Jan Broder
- Bayraktar, Omer A.
- Franklin, Robin J. M.
- Haeussler, Maximilian
- Reynolds, Richard
- Schafer, Dorothy P.
- Friese, Manuel A.
- Shiow, Lawrence R.
- Kriegstein, Arnold R.
- Rowitch, David H.
- Venue
- Nature
- Published
- 2019-07-17
- Volume
- 573
- Issue
- 7772
- Pages
- 75-82
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6731122
- OpenAlex
- W2951560273
- Cited by
- 638
- References
- 56
- Citations by year
- 2026: 69 · 2025: 100 · 2024: 118 · 2023: 91 · 2022: 99 · 2021: 89 · 2020: 56 · 2019: 15 · 2012: 1
- FWCI
- 47.59
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship@UMassChan (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- Wellcome Trust (108139, 108139/B/15/Z, 108139/Z/15/Z)
- Multiple Sclerosis Society
- Rosetrees Trust (M525-CD2)
- Cambridge University Hospitals (146281)
- Medical Research Council (MC_PC_12009, MR/K008803/1, MR/M010503/1)
- Biotechnology and Biological Sciences Research Council (1517905, BB/I013210/1)
- National Human Genome Research Institute (U41HG002371)
- National Institute of Neurological Disorders and Stroke (F32NS103266, R35NS097305, R01NS040511)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- multiple sclerosis, neuronal vulnerability, meningeal inflammation, reactive astrocytes, microglial activation, macrophages, MS plaques, long non-coding RNA, glial activation, single-nucleus RNA sequencing
- MeSH terms
- RNA-Seq, Adult, Animals, Astrocytes, Autopsy, Female, Humans, Macrophages, Male, Middle Aged, Multiple Sclerosis, Myelin Sheath, Neurons, Oligodendroglia, Phagocytosis, RNA, Small Nuclear, Cryopreservation, Microglia, Homeodomain Proteins, Cell Lineage, Mice, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review