The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
A molecular atlas of cell types and zonation in the brain vasculature
Open accessAbstract
Cerebrovascular disease is the third most common cause of death in developed countries, but our understanding of the cells that compose the cerebral vasculature is limited. Here, using vascular single-cell transcriptomics, we provide molecular definitions for the principal types of blood vascular and vessel-associated cells in the adult mouse brain. We uncover the transcriptional basis of the gradual phenotypic change (zonation) along the arteriovenous axis and reveal unexpected cell type differences: a seamless continuum for endothelial cells versus a punctuated continuum for mural cells. We also provide insight into pericyte organotypicity and define a population of perivascular fibroblast-like cells that are present on all vessel types except capillaries. Our work illustrates the power of single-cell transcriptomics to decode the higher organizational principles of a tissue and may provide the initial chapter in a molecular encyclopaedia of the mammalian vasculature.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“many of which were well documented61–66.”
From A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain (2023) · cites this paper as [64]
In the citing paper
“We identified endothelial ICs (Figure 2E) with strong contributions from genes with arterial (IC 5 and 20) and veinous (IC 3 and 12) expression, suggesting heterogeneity related to vessel type”
From Molecular diversity and specializations among the cells of the adult mouse brain (2018) · cites this paper as Vanlandewijck et al., 2018
In the citing paper
“These genes (e.g. Tm4sf1 and Slc38a5) showed continuous, reciprocal expression (Data S4G), consistent with the smooth molecular transitions described for endothelial cells associated with arteries or veins”
From Molecular diversity and specializations among the cells of the adult mouse brain (2018) · cites this paper as Vanlandewijck et al., 2018
In the citing paper
“IC 19 represented this difference in a graded rather than categorical way, as Rgs5/Acta2 expression and IC cell scores were continuously, rather than bimodally, distributed across these cells”
From Molecular diversity and specializations among the cells of the adult mouse brain (2018) · cites this paper as Vanlandewijck et al., 2018
In the citing paper
“Among SMA cells, Acta2 expression correlates with a veinous versus arterial distribution”
From Molecular diversity and specializations among the cells of the adult mouse brain (2018) · cites this paper as Vanlandewijck et al., 2018
In the citing paper
“A single IC (IC 13) appeared to encode this distinction, with pericyte marker Vtn as the strongest loading gene”
From Molecular diversity and specializations among the cells of the adult mouse brain (2018) · cites this paper as Vanlandewijck et al., 2018
In the citing paper
“Like Vanlandewijck et al., we observed (Figure 5) distinct endothelial cell types carrying known arterial (e.g., Bmx; VECA) and venous (Slc38a5; VECV) markers, as well as capillary endothelial cells (VECC) expressing Meox1.”
From Molecular Architecture of the Mouse Nervous System (2018) · cites this paper as Vanlandewijck et al., 2018
In the citing paper
“Vanlandewijck et al. described two brain fibroblast-like cell types expressing fibril-forming collagens (e.g., Col1a1, Col1a2), collagen fiber crosslinking proteins (Lum, Dcn), and the platelet-derived growth factor receptor alpha, Pdgfra, which was interposed between astrocyte endfeet and vascular endothelial cells.”
From Molecular Architecture of the Mouse Nervous System (2018) · cites this paper as Vanlandewijck et al., 2018
In the citing paper
“In vivo, αSMA and calponin expression are restricted to mural cells along brain arterioles and arteries [38], however, these markers are often upregulated during culture [39], complicating identification of pericytes.”
From Role of iPSC-derived pericytes on barrier function of iPSC-derived brain microvascular endothelial cells in 2D and 3D (2019) · cites this paper as [38]
In the citing paper
“APOE in the brain is primarily synthesized by astrocytes and microglia, as indicated by a recent single cell RNA-seq study in the mouse (610).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [610]
In the citing paper
“Pericytes, SMCs, and endothelial cells express thousands of transcripts encoding different transporters, receptors, active efflux pumps, ion channels, and regulatory molecules (28, 72, 86, 129, 242, 358, 359, 610, 675, 678), whose expression pattern varies by zonation along the arteriocapillary-venous axis and cell type (610).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [610]
In the citing paper
“In contrast to the BBB endothelium's gradual phenotypic change along the arteriovenous axis, mural cells formed two distinct groups comprising pericyte and venous SMCs, and arterial and arteriole SMCs (610).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [610]
In the citing paper
“Briefly, this study is the first to report that at the BBB endothelium transcription factors predominated at arteries and arterioles, transporters predominated capillaries and veins, and ribosomal proteins indicative of protein synthesis were spread along the arteriovenous axis (610), yielding important insights to biological functions and endothelial specialization along the brain vasculature”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [610]
In the citing paper
“According to a transcriptomic analysis of cells in the vasculature, Plcg2 seems to be expressed in certain subtypes of endothelial cells, although at lower level than compared to microglia (http://betsholtzlab.org/VascularSingleCells/database.html [43]).”
From Alzheimer’s disease phospholipase C-gamma-2 (PLCG2) protective variant is a functional hypermorph (2019) · cites this paper as [43]
In the citing paper
“we used an siRNA sequence targeting Ppib because this gene is abundantly and ubiquitously expressed across CNS cell types [27].”
From Elucidating brain transport pathways and cell type-dependent gene silencing of a durable lipid–siRNA conjugate administered into cerebrospinal fluid (2025) · cites this paper as [27]
In the citing paper
“Here, we used an siRNA sequence targeting Ppib because this gene is abundantly and ubiquitously expressed across CNS cell types.34”
From Lipid-siRNA conjugate accesses a perivascular transport mechanism and achieves widespread and durable knockdown in the central nervous system (2024) · cites this paper as [34]
In the citing paper
“WAVE2 is expressed at high levels in microglia and vascular endothelial cells14,15.”
From The WAVE complex in developmental and adulthood brain disorders (2025) · cites this paper as [14]
In the citing paper
“In addition to astrocytes and microglia, other cell types in the brain have been reported to produce ApoE under different conditions. These cells include oligodendrocytes, pericytes, vascular smooth muscle cells, perivascular fibroblasts, and perivascular macrophages [107–109].”
From ApoE lipoproteins in the central nervous system under homeostasis and role in Alzheimer’s disease and related disorders (2026) · cites this paper as [108]
In the citing paper
“PDGFRβ expression in pericytes is noticeably higher than in SMCs18,25,26.”
From Blood–brain barrier breakdown is an early biomarker of human cognitive dysfunction (2019) · cites this paper as [25]
In the citing paper
“Based on marker gene enrichment (Table S1), Endo.1 may correspond to endothelial capillary cells, Endo.2 to venous endothelial cells, and Endo.3 to arterial endothelial cells (Vanlandewijck et al., 2018).”
From Single-Cell Analysis of Regional Differences in Adult V-SVZ Neural Stem Cell Lineages (2019) · cites this paper as Vanlandewijck et al., 2018
In the citing paper
“We spatially mapped the developing arterio-venous zonation in the embryonic LV ChP in whole explants by combining the pan-endothelial marker PECAM1 with markers for arteries (Acta2+, Vwf+) and veins (Acta2−, Vwf+) (Vanlandewijck et al., 2018).”
From A cellular and spatial map of the choroid plexus across brain ventricles and ages (2021) · cites this paper as Vanlandewijck et al., 2018
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
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
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
Corder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
Iliff, J. J., Wang, M., Liao, Y., Plogg, B. A., Peng, W., Gundersen, G. A., Benveniste, H., Vates, G. E., Deane, R., Goldman, S. A., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003748 · Cited by 5,824
Astrocyte-endothelial interactions at the blood-brain barrier
Abbott, N. J., Rönnbäck, L., & Hansson, E. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1824 · Cited by 5,595
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
Sleep Drives Metabolite Clearance from the Adult Brain
Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., O’Donnell, J., Christensen, D. J., Nicholson, C., Iliff, J. J., et al. (2013) · Science · doi:10.1126/science.1241224 · Cited by 5,411
Zhang, Y., Chen, K., Sloan, S. A., Bennett, M. L., Scholze, A. R., O'Keeffe, S., Phatnani, H. P., Guarnieri, P., Caneda, C., Ruderisch, N., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1860-14.2014 · Cited by 4,875
Full-length RNA-seq from single cells using Smart-seq2
Picelli, S., Faridani, O. R., Björklund, Å. K., Winberg, G., Sagasser, S., & Sandberg, R. (2014) · Nature Protocols · doi:10.1038/nprot.2014.006 · Cited by 4,137
Cited by
Sorted by citations
Items 1,701–1,800 of 1,911
Şanlıdağ, S., Virtanen, N., Hoursan, H., Ristori, T., Sjöqvist, M., Loerakker, S., & Sahlgren, C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.05.652186
He, C., Grubb, S., Tao, L., Kılıç, K., Zhang, X., Devor, A., Sheikh, N., & Cai, C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.13.653681
“TRPV4 channels in the brain leptomeninges are expressed in vascular endothelial cells, FBs, and macrophages, with smaller amounts also found in vascular mural cells and astrocytes [2, 27, 47].”
Gastfriend, B. D., Palecek, S. P., & Shusta, E. V. (2025) · Neuromethods · doi:10.1007/978-1-0716-4474-4_2
Kakava, S., Melo, M. G., Cheng, W. H., Gaudio, I. D., Viertl, D., Bernhard, S., Schlumpf, E., Croyal, M., Volovičeva, E., Fan, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.23.655828 · Cited by 2
He, Y., Lin, J., Li, Y., Zeng, W., & Li, Y. (2025) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2025.06.002
Obanina, N. A., & Bgatova, N. P. (2025) · Cell and Tissue Biology · doi:10.1134/s1990519x25600164
Aging-enhanced accumulation of fibroblasts excludes oligodendrocytes in demyelinated lesions
Lozinski, B. M., Melchor, G. S., D’Mello, C., Gorter, R. P., Dong, Y., Ghorbani, S., Li, C., Mørch, M. T., Moezzi, D., Jain, R., et al. (2026) · Journal of Neuroinflammation · doi:10.1186/s12974-026-03976-z · Cited by 1
Transcriptional and post-transcriptional responses to amyloid- β in cerebral amyloid angiopathy
Florijn, B. W., Verwey, N. A., van Etten, E. S., de Vries, H. E., & Wermer, M. J. H. (2025) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x251366082 · Cited by 1
The Pathophysiology of Coronary Artery Disease
Staroselsky, M., Materia, A. S., Damera, R. R., Berman, L., Hai, O. Y., Zeltser, R., & Makaryus, A. N. (2025) · International Journal of Angiology · doi:10.1055/a-2652-1812 · Cited by 1
Circumventing vascular barriers for effective immunotherapy in brain tumors – focus on glioblastoma
Rak, J. W. (2025) · Postępy Higieny i Medycyny Doświadczalnej · doi:10.2478/ahem-2025-0012
Hes, C., Tomlinson, A. J., Michielsen, L., Murdoch, H. J., Soltani, F., Kokoeva, M. V., & Sabatini, P. V. (2025) · eLife · doi:10.7554/elife.106217.2
He, C., Grubb, S., Tao, L., Kılıç, K., Zhang, X., Devor, A., Sheikh, N., & Cai, C. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5389299
BBB-on-a-Chip: Microfluidic Tools as an Alternative to In Vivo Experiments for Nanosafety Studies
Lefevre, M. C., Ceccarelli, M. C., Bernardeschi, M., & Ciofani, G. (2025) · Springer eBooks · doi:10.1007/978-3-031-93871-9_9
Skin capillary endothelial cells form a network of spatiotemporally conserved Ca 2+ activityPreprint
Swaminathan, A., Gonzalez, D. G., Matte-Martone, C. C., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.15.669933
New genetic tools for central and peripheral vascular endotheliaPreprint
Xia, S., Ge, T., Song, R., Liu, Q., He, X., Shen, Y., Qiao, H., Qu, Y., Chen, J., Zhao, Z., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7421061/v1
Early endothelial activation at the blood–nerve barrier defines a hallmark of ALSPreprint
Bhat, G. P., Diprima, S., Beccaría, C. G., Podini, P., Badaloni, A., Motta, A., Brambilla, I., Martins, L. F., Boselli, D., de Pretis, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.31.673224
Neuronal migration depends on blood flow in the adult brainPreprint
Ogino, T., Saito, A., Sawada, M., Takemura, S., Hara, Y., Yoshimura, K., Nagase, J., Kawase, H., Sato, T., Inada, H., et al. (2025) · eLife · doi:10.7554/elife.99502.2
Type-I nNOS neurons orchestrate cortical neural activity and vasomotionPreprint
Turner, K. L., Brockway, D. F., Hossain, M. S., Griffith, K. R., Greenawalt, D. I., Zhang, Q., Gheres, K. W., Crowley, N. A., & Drew, P. J. (2025) · eLife · doi:10.7554/elife.105649.2
Cellular Landscapes of Different Gene‐Edited Pig Hearts Associated With Cardiac Xenotransplantation
Zhang, H., Shen, S., Chen, X., Zhang, N., Hua, X., Chang, Y., Xu, Z., Hu, S., & Song, J. (2025) · Xenotransplantation · doi:10.1111/xen.70088
Guo, L., Gaunt, J. R., Cheah, C. C. H., Chen, A. I., Claudine, S., Dawe, G. S., Goh, E. L. K., Kho, S.-H., Kumar, P., Lim, G. G. Y., et al. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1629830
Mural Cells, Microvessels, and Alzheimer’s Disease
Bonney, S. K., Nielson, C. D., & Shih, A. Y. (2025) · Physiology in health and disease · doi:10.1007/978-3-031-99609-2_15
Tuma, R. F., Salehi, S. A., & Zhang, M. (2025) · Physiology in health and disease · doi:10.1007/978-3-031-99609-2_7
Function and Plasticity of Microvascular Pericytes
Suarez‐Martinez, A. D., Bruce, A. C., Castellanos-Sanchez, R., Comlekoglu, T., Csordas, D. J., DeCostanza, L., El‐Ghazawi, K., Leonard‐Duke, J., Peachey, C., Zhu, D., et al. (2025) · Physiology in health and disease · doi:10.1007/978-3-031-99609-2_5
Slc20a2 Deficiency Increases Susceptibility to CNS Demyelination Possibly Through Th17 Cells
Zhang, Y., Wang, X., Ren, Y., et al. (2025) · Journal of Neuroscience Research · doi:10.1002/jnr.70088
“et al. 2013) and mature oligodendrocytes (Vanlandewijck et al. 2018) in mice.”
Guo, F., Zhao, C., Bhatt, R. R., Liu, Z., Kim, A. J., Yang, Z., Xu, S., Jann, K., Shao, X., Mather, M., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-76812-w · Cited by 1
Nydegger, U., & Lung, T. (2025) · Springer eBooks · doi:10.1007/978-3-031-94028-6_7
Single-cell transcriptomic analysis reveals age-related remodeling of brain endothelial cells
Nguyen, H. D., Siddiqui, S., Bohannon, D. G., Blair, R. V., Deng, H.-W., Prat, A., & Kim, W.-K. (2026) · Aging Brain · doi:10.1016/j.nbas.2026.100164
“This finding aligns with previous scRNA-seq studies showing segment-specific EC heterogeneity in the healthy brain [38], while Cap ECs are vulnerable in hippocampal aging models [21,22].”
Li, T., An, Q., Luo, S., & Li, Y. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1682677
Svane, N., Kurosawa, T., Schmid, B., Saaby, L., Kristensen, M., Tabata, H., Kubo, Y., Terasaki, T., Brodin, B., & Deguchi, Y. (2025) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2025.107409
Cryo-EM structure of the bicarbonate receptor GPR30Preprint
Kaneda, S., Jo‐Watanabe, A., Akasaka, H., Oshima, H. S., Yokomizo, T., Shihoya, W., & Nureki, O. (2025) · eLife · doi:10.7554/elife.99874.2
Candlish, M., Breunig, P., Özdemir, I., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.10.693193
“Under homeostatic conditions, PVFs localize almost exclusively to primary descending arterioles 3,6,7 .”
Girolamo, F., de Trizio, I., Errede, M., Longo, G., d’Amati, A., & Virgintino, D. (2021) · Figshare · doi:10.6084/m9.figshare.14431841
Bar, O., Gelb, S., Atamny, K., Anzi, S., & Ben‐Zvi, A. (2020) · Figshare · doi:10.6084/m9.figshare.12062178
Xiong, M., Wang, C., Gratuze, M., Saadi, F., Bao, X., Bosch, M. E., Lee, C., Jiang, H., Serrano, J. R., Gonzales, E. R., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22618616
Xiong, M., Wang, C., Gratuze, M., Saadi, F., Bao, X., Bosch, M. E., Lee, C., Jiang, H., Serrano, J. R., Gonzales, E. R., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22618622
Shi, Y., Kim, H., Hamann, C. A., Rhea, E. M., Brunger, J. M., & Lippmann, E. S. (2022) · Figshare · doi:10.6084/m9.figshare.21184245
Protzmann, J., Jung, F., Jakobsson, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26706840
Bouhrira, N., DeOre, B. J., Tran, K. A., & Galie, P. A. (2022) · Figshare · doi:10.6084/m9.figshare.21629043
Arbaizar‐Rovirosa, M., Gallizioli, M., Lozano, J. J., Sidorova, J., Pedragosa, J., Figuerola, S., Chaparro‐Cabanillas, N., Boya, P., Graupera, M., Claret, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26616454
Samuels, J. D., Lotstein, M. L., Lehmann, M. L., Elkahloun, A. G., Banerjee, S., & Herkenham, M. A. (2024) · Figshare · doi:10.6084/m9.figshare.26600533
Xiong, M., Wang, C., Gratuze, M., Saadi, F., Bao, X., Bosch, M. E., Lee, C., Jiang, H., Serrano, J. R., Gonzales, E. R., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22618631
Hashimoto, Y., Chris, G., Hanley, N., Hudson, N., Henshall, D., Sweeney, K. J., O’Brien, D. F., & Campbell, M. (2024) · Figshare · doi:10.6084/m9.figshare.26736411
Samuels, J. D., Lotstein, M. L., Lehmann, M. L., Elkahloun, A. G., Banerjee, S., & Herkenham, M. A. (2024) · Figshare · doi:10.6084/m9.figshare.26600536
Additional file 1 of Unique features of the arterial blood–brain barrier
Bell, B., Anzi, S., Sasson, E., & Ben‐Zvi, A. (2024) · Figshare · doi:10.6084/m9.figshare.26600122
Arbaizar‐Rovirosa, M., Gallizioli, M., Lozano, J. J., Sidorova, J., Pedragosa, J., Figuerola, S., Chaparro‐Cabanillas, N., Boya, P., Graupera, M., Claret, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26616451
Jiang, R., Smailović, U., Haytural, H., Tijms, B. M., Li, H., Haret, R. M., Shevchenko, G., Chen, G., Abelein, A., Gobom, J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20226952
Additional file 1 of Tau reduction in aged mice does not impact Microangiopathy
Bennett, R. E., Hu, M., Fernandes, A. R., Perez-Rando, M., Robbins, A., Kamath, T. V., Dujardin, S., & Hyman, B. T. (2020) · Figshare · doi:10.6084/m9.figshare.12825330
Goldeman, C., Ozgür, B., & Brodin, B. (2020) · Figshare · doi:10.6084/m9.figshare.12177711
Hashimoto, Y., Chris, G., Hanley, N., Hudson, N., Henshall, D. C., Sweeney, K. J., O’Brien, D. F., & Campbell, M. (2024) · Figshare · doi:10.6084/m9.figshare.26736405
Samuels, J. D., Lotstein, M. L., Lehmann, M. L., Elkahloun, A. G., Banerjee, S., & Herkenham, M. A. (2024) · Figshare · doi:10.6084/m9.figshare.26600530
Samuels, J. D., Lotstein, M. L., Lehmann, M. L., Elkahloun, A. G., Banerjee, S., & Herkenham, M. A. (2024) · Figshare · doi:10.6084/m9.figshare.26600524
Xiong, M., Wang, C., Gratuze, M., Saadi, F., Bao, X., Bosch, M. E., Lee, C., Jiang, H., Serrano, J. R., Gonzales, E. R., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22618628
Barabási, B., Barna, L., Santa-Maria, A. R., Harazin, A., Molnár, R., Kincses, A., Vigh, J. P., Dukay, B., Sántha, M., Tóth, M. E., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26573380
Chasseigneaux, S., Cochois, V., Lecorgne, L., Lochus, M., Nicolic, S., Blugeon, C., Jourdren, L., Gomez‐Zepeda, D., Tenzer, S., Sanquer, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25566217
Hashimoto, Y., Chris, G., Hanley, N., Hudson, N., Henshall, D., Sweeney, K. J., O’Brien, D. F., & Campbell, M. (2024) · Figshare · doi:10.6084/m9.figshare.26736417
Arbaizar‐Rovirosa, M., Gallizioli, M., Lozano, J. J., Sidorova, J., Pedragosa, J., Figuerola, S., Chaparro‐Cabanillas, N., Boya, P., Graupera, M., Claret, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26616460
Samuels, J. D., Lotstein, M. L., Lehmann, M. L., Elkahloun, A. G., Banerjee, S., & Herkenham, M. A. (2024) · Figshare · doi:10.6084/m9.figshare.26600527
Hashimoto, Y., Chris, G., Hanley, N., Hudson, N., Henshall, D. C., Sweeney, K. J., O’Brien, D. F., & Campbell, M. (2024) · Figshare · doi:10.6084/m9.figshare.26736420
Zhang, X., Wang, R., Chen, H., Jin, C., Jin, Z., Lü, J., Xu, L., Lu, Y., Zhang, J., & Shi, L. (2022) · Figshare · doi:10.6084/m9.figshare.20374435
Chasseigneaux, S., Cochois, V., Lecorgne, L., Lochus, M., Nicolic, S., Blugeon, C., Jourdren, L., Gomez‐Zepeda, D., Tenzer, S., Sanquer, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26703694
Chasseigneaux, S., Cochois, V., Lecorgne, L., Lochus, M., Nicolic, S., Blugeon, C., Jourdren, L., Gomez‐Zepeda, D., Tenzer, S., Sanquer, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26703700
Protzmann, J., Jung, F., Jakobsson, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26706852
Hashimoto, Y., Chris, G., Hanley, N., Hudson, N., Henshall, D. C., Sweeney, K. J., O’Brien, D. F., & Campbell, M. (2024) · Figshare · doi:10.6084/m9.figshare.26066064
Jiang, R., Smailović, U., Haytural, H., Tijms, B. M., Li, H., Haret, R. M., Shevchenko, G., Chen, G., Abelein, A., Gobom, J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20226949
Réveret, L., Leclerc, M., Vincent, E., Tremblay, C., Loiselle, A., Philippe, B., David, A. B., Hébert, S. S., & Frédéric, C. (2024) · Figshare · doi:10.6084/m9.figshare.26621755
Jiang, R., Smailović, U., Haytural, H., Tijms, B. M., Li, H., Haret, R. M., Shevchenko, G., Chen, G., Abelein, A., Gobom, J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20226946
Samuels, J. D., Lotstein, M. L., Lehmann, M. L., Elkahloun, A. G., Banerjee, S., & Herkenham, M. A. (2024) · Figshare · doi:10.6084/m9.figshare.26600521
Hashimoto, Y., Chris, G., Hanley, N., Hudson, N., Henshall, D. C., Sweeney, K. J., O’Brien, D. F., & Campbell, M. (2024) · Figshare · doi:10.6084/m9.figshare.26736423
Protzmann, J., Jung, F., Jakobsson, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26706843
Schaffenrath, J., Huang, S., Wyss, T., Delorenzi, M., & Keller, A. (2021) · Figshare · doi:10.6084/m9.figshare.15071614
Self-citationHashimoto, Y., Chris, G., Hanley, N., Hudson, N., Henshall, D., Sweeney, K. J., O’Brien, D. F., & Campbell, M. (2024) · Figshare · doi:10.6084/m9.figshare.26736414
Xiong, M., Wang, C., Gratuze, M., Saadi, F., Bao, X., Bosch, M. E., Lee, C., Jiang, H., Serrano, J. R., Gonzales, E. R., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22618634
Arbaizar‐Rovirosa, M., Gallizioli, M., Lozano, J. J., Sidorova, J., Pedragosa, J., Figuerola, S., Chaparro‐Cabanillas, N., Boya, P., Graupera, M., Claret, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26616445
Xiong, M., Wang, C., Gratuze, M., Saadi, F., Bao, X., Bosch, M. E., Lee, C., Jiang, H., Serrano, J. R., Gonzales, E. R., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22618619
Chasseigneaux, S., Cochois, V., Lecorgne, L., Lochus, M., Nicolic, S., Blugeon, C., Jourdren, L., Gomez‐Zepeda, D., Tenzer, S., Sanquer, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26703691
Walter, F. R., Harazin, A., Tóth, A. E., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19194170
Holst, M. R., de Wit, N. M., Ozgür, B., Brachner, A., Hyldig, K., Appelt‐Menzel, A., Sleven, H., Cader, Z., de Vries, H. E., Neuhaus, W., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24516076
Arbaizar‐Rovirosa, M., Gallizioli, M., Lozano, J. J., Sidorova, J., Pedragosa, J., Figuerola, S., Chaparro‐Cabanillas, N., Boya, P., Graupera, M., Claret, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26616448
Chasseigneaux, S., Cochois, V., Lecorgne, L., Lochus, M., Nicolic, S., Blugeon, C., Jourdren, L., Gomez‐Zepeda, D., Tenzer, S., Sanquer, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26703697
Hamada, Y., Ogata, S., Masuda, T., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23573609
Okekawa, A., Wada, T., Onogi, Y., Takeda, Y., Miyazawa, Y., Sasahara, M., Tsuneki, H., & Sasaoka, T. (2024) · Figshare · doi:10.6084/m9.figshare.26677148
Arbaizar‐Rovirosa, M., Gallizioli, M., Lozano, J. J., Sidorova, J., Pedragosa, J., Figuerola, S., Chaparro‐Cabanillas, N., Boya, P., Graupera, M., Claret, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26616466
Hashimoto, Y., Chris, G., Hanley, N., Hudson, N., Henshall, D. C., Sweeney, K. J., O’Brien, D. F., & Campbell, M. (2024) · Figshare · doi:10.6084/m9.figshare.26066217
Réveret, L., Leclerc, M., Vincent, E., Tremblay, C., Loiselle, A., Philippe, B., David, A. B., Hébert, S. S., & Frédéric, C. (2024) · Figshare · doi:10.6084/m9.figshare.26621758
Protzmann, J., Jung, F., Jakobsson, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26706855
Protzmann, J., Jung, F., Jakobsson, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26706846
Jiang, R., Smailović, U., Haytural, H., Tijms, B. M., Li, H., Haret, R. M., Shevchenko, G., Chen, G., Abelein, A., Gobom, J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20226967
Arbaizar‐Rovirosa, M., Gallizioli, M., Lozano, J. J., Sidorova, J., Pedragosa, J., Figuerola, S., Chaparro‐Cabanillas, N., Boya, P., Graupera, M., Claret, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26616469
Jiang, R., Smailović, U., Haytural, H., Tijms, B. M., Li, H., Haret, R. M., Shevchenko, G., Chen, G., Abelein, A., Gobom, J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20226982
Chasseigneaux, S., Cochois, V., Lecorgne, L., Lochus, M., Nicolic, S., Blugeon, C., Jourdren, L., Gomez‐Zepeda, D., Tenzer, S., Sanquer, S., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25566383
Jiang, R., Smailović, U., Haytural, H., Tijms, B. M., Li, H., Haret, R. M., Shevchenko, G., Chen, G., Abelein, A., Gobom, J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20226961
Hashimoto, Y., Chris, G., Hanley, N., Hudson, N., Henshall, D. C., Sweeney, K. J., O’Brien, D. F., & Campbell, M. (2024) · Figshare · doi:10.6084/m9.figshare.26736408
Jiang, R., Smailović, U., Haytural, H., Tijms, B. M., Li, H., Haret, R. M., Shevchenko, G., Chen, G., Abelein, A., Gobom, J., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20226973
Arbaizar‐Rovirosa, M., Gallizioli, M., Lozano, J. J., Sidorova, J., Pedragosa, J., Figuerola, S., Chaparro‐Cabanillas, N., Boya, P., Graupera, M., Claret, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26616472
Protzmann, J., Jung, F., Jakobsson, L., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26706849
Noterman, M. F., Sancho, M., de la Cruz, S. H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.23.696233
Jiang, J., Xiang, D., Wang, B., Liu, W., & Gu, C. (2026) · Statistics and Computing · doi:10.1007/s11222-026-10977-8
“The selected genes show significant enrichment for markers of endothelial cells, astrocytes, microglia, and oligodendrocytes, which represent major vascular and neural cell lineages in the MOB (Zhang et al. 2014; Zeisel et al. 2018; Vanlandewijck et al. 2018).”
Boutom, S., Walsh, L. D., Herman, M. M., Ding, Y., Hashjin, F. Y., August, B. K., Shusta, E. V., & Palecek, S. P. (2026) · Fluids and Barriers of the CNS · doi:10.1186/s12987-025-00754-6
“…of mouse single cell transcriptomes of brain capillary endothelial and peripheral organ (e.g., lung) endothelial cells suggest that BMECs have ~ 2-fold and ~ 6-fold lower expression of Pecam1 and Cdh5 (encoding VE-cadherin), respectively, relative to peripheral endothelial cells [47, 48].”
Graff, M. F. E., Heeg, E. E., Elliott, D. A., & Childs, S. J. (2026) · eLife · doi:10.7554/elife.106720.2
Metadata
- Authors
- Vanlandewijck, M., He, L., Mäe, M. A., Andrae, J., Ando, K., Del Gaudio, F., Nahar, K., Lebouvier, T., Laviña, B., Gouveia, L., Sun, Y., Raschperger, E., Räsänen, M., Zarb, Y., Mochizuki, N., Keller, A., Lendahl, U., & Betsholtz, C.
- Affiliations
- Uppsala University (SE)
- Tianjin Medical University General Hospital (CN)
- Karolinska Institutet (SE)
- University of Zurich (CH)
- Japan Agency for Medical Research and Development (JP)
- Corresponding author
- Betsholtz, Christer
- ORCID
- Venue
- Nature
- Published
- 2018-02-14
- Volume
- 554
- Issue
- 7693
- Pages
- 475-480
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2786318872
- Semantic Scholar
- 237e37a314d2faef1d389b147614e8fa550a3087
- Cited by
- 1,892
- References
- 65
- Citations by year
- 2026: 197 · 2025: 244 · 2024: 275 · 2023: 234 · 2022: 258 · 2021: 271 · 2020: 222 · 2019: 125 · 2018: 65
- FWCI
- 74.80
- Type
- journal article
- Language
- en
- Update notices
- correction (2018-06-20)
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Työväentutkimus Vuosikirja (submittedVersion, other-oa)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (159514)
- Topics
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Clinical Neurology › Cerebrovascular and genetic disorders
- Keywords
- cerebral vasculature, blood-brain barrier, endothelial cells, mural cells, pericytes, smooth muscle cells, perivascular cells, single-cell transcriptomics, cerebrovascular disease, mouse brain
- MeSH terms
- Animals, Arteries, Arterioles, Blood Vessels, Brain, Capillaries, Female, Fibroblasts, Male, Organ Specificity, Veins, Pericytes, Myocytes, Smooth Muscle, Endothelial Cells, Mice, Single-Cell Analysis, 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