A cellular and spatial map of the choroid plexus across brain ventricles and ages
Open accessPublished version of a preprint
Abstract
SUMMARY The choroid plexus (ChP) in each brain ventricle produces cerebrospinal fluid (CSF) and forms the blood-CSF barrier. Here, we construct a single cell and spatial atlas of each ChP in the developing, adult, and aged mouse brain. We delineate diverse cell types, subtypes, cell states and expression programs in epithelial and mesenchymal cells across ages and ventricles. In the developing ChP, we predict a common progenitor pool for epithelial and neuronal cells, validated by lineage tracing. Epithelial and fibroblast cells showed regionalized expression by ventricle, starting at embryonic stages and persisting with age, with a dramatic transcriptional shift with maturation, and a smaller shift in each aged cell type. With aging, epithelial cells upregulated host defense programs and resident macrophages upregulated IL-1β signaling genes. Our atlas revealed cellular diversity, architecture and signaling across ventricles during development, maturation and aging of the ChP brain barrier.
AI snapshot
Written from the paper’s full text.
TL;DR
This paper presents a single-cell and spatial atlas of the mouse choroid plexus across lateral, third, and fourth ventricles in developing, adult, and aged brains. It identifies ventricle- and age-dependent epithelial/mesenchymal programs, a Wnt1+ common progenitor for epithelial and neuronal cells, and aging-associated immune signaling including IL-1β.
Key findings
- Profiled 15,620 single cells and 83,040 single nuclei from lateral, third, and fourth ventricle choroid plexuses of developing (E16.5, n = 13), adult (4 months, n = 4), and aging (20 months, n = 9) mice, defining major cell classes and subtypes across ages and ventricles.
- Trajectory inference and lineage tracing supported a common progenitor pool for epithelial and neuronal cells; Wnt1+ progenitors near FoxJ1+ epithelial cells gave rise to both epithelial and neuronal progeny in the 4V and 3V ChP.
- Epithelial and fibroblast cells showed ventricle-regionalized expression starting embryonically and persisting with age; maturation produced a large transcriptional shift, and aged epithelial cells upregulated host-defense programs while aged macrophages upregulated IL-1β signaling genes.
- Mesenchymal cells expressed ACE2 and accessory SARS-CoV-2 entry components, and ligand-receptor analysis predicted mesenchymal cells as an interaction hub, with IL-1β signaling from aged macrophages to endothelial and mesenchymal cells.
Methods
- Mouse ChP from LV, 3V, and 4V was dissected at E16.5, 4 months, and 20 months; embryonic samples were profiled by scRNA-seq, and all ages by snRNA-seq, followed by smFISH, immunostaining, transgenic lineage tracing, and whole-tissue imaging.
- Analyses included clustering, diffusion maps, RNA velocity, topic modeling, pseudobulk differential expression, and CellPhoneDB-based ligand-receptor interaction inference across ventricles and ages.
- Validation used marker immunostaining, RNAscope, Cx3cr1-GFP and Wnt1-CRE2::R26R-Confetti mice, electron microscopy, and published in situ hybridization data.
Limitations
- The paper states: small tissue size required pooling samples across donors, especially for immune cells; dissection purity was limited by anatomically defined borders, particularly for 3V ChP; adult/aged cellular health led to differential processing (scRNA-seq for embryonic vs. frozen samples and snRNA-seq for adult/aged, also applied to embryonic), introducing computational comparison challenges; continuous cell-state and age transitions required topic modeling; and lowly expressed genes may be missed due to coverage depth.
- Evident from the text: the atlas is mouse-only, and several conclusions about signaling and progenitor relationships rely on inferred trajectories and predicted ligand-receptor interactions, with validation focused on selected markers and lineages.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 91 cited sources checked · 0 supported · 0 flagged
- Findingcitation
In embryos, subsets of glial cells expressed markers of neural progenitor/stem-like cells or of oligodendrocyte precursor cells.
“In embryos, subsets of glial cells expressed markers of neural progenitor/stem-like cells (e.g. Pax6, Nes, Sox2, Rspo2/3) or of oligodendrocyte precursor cells (OPCs, e.g. Olig1, Olig2) (Kriegstein and Alvarez-Buylla, 2009) (Figure 2A, S2A,B).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kriegstein and Alvarez-Buylla, 2009 source
Not checked in the free run.
- Findingown data
The study profiled 15,620 single cells and 83,040 single nuclei from the lateral, third, and fourth brain ventricles of developing, adult, and aging mice.
“we profiled 15,620 single cells (scRNA-seq) and 83,040 single nuclei (snRNA-seq) from the lateral (LV), third (3V), and fourth (4V) brain ventricles of developing (embryonic day [E]16.5, n = 13), adult (4 months, n = 4) and aging (20 months, n = 9) mice”
Quote in the paperSubstantial claim - Findingcitation
The boundary between the 3V ChP and developing pineal gland was mapped using published ISH of marker genes from the data.
“We leveraged the inclusion of adjacent brain tissue in our atlas to map the boundary between the 3V ChP and developing pineal gland using published ISH (Lein et al., 2007; Visel et al., 2004) of marker genes from our data (Figure S2C).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Findingown data
Embryonic cells partitioned into clusters identifying epithelial, mesenchymal (mural and fibroblast), endothelial, immune, neuronal and glial cells in each ChP from all ventricles.
“Embryonic cells partitioned into clusters identifying epithelial, mesenchymal (mural and fibroblast), endothelial, immune, neuronal and glial cells in each ChP from all ventricles (by marker genes expression, Figure 1C, S1A,B,C, Table S1, STAR Methods).”
Quote in the paperSubstantial claim - Findingown data
Embryonic ChP scRNA-seq profiles of epithelial, glial, and neuronal cells were not discretely separable by low-dimensional embedding.
“The embryonic ChP scRNA-seq profiles of epithelial, glial, and neuronal cells were not discretely separable by low-dimensional embedding (Figure 1C, STAR Methods), suggesting a common progenitor pool for both epithelial and neuronal cells may exist in the ChP.”
Quote in the paperSubstantial claim
- Findingown data
The neuro-glial populations were proportionally low (8% of cells and 2.5% of nuclei).
“The neuro-glial populations were proportionally low (8%/2.5% of cells/nuclei, Figure S1B,G), yet sub-clustering revealed substantial diversity within each population.”
Quote in the paperNot a substantial claim - Findingown data
Diffusion map of 3V ChP cells arranged neurons and mature epithelial cells at two opposite ends of a trajectory, with a progenitor glia-like population at the node between them.
“The analysis arranged neurons and mature epithelial cells at two opposite ends of a trajectory, with a progenitor glia-like population at the node between them (Figure 2B, further supported RNA velocity (La Manno et al., 2018) analysis, Figure S2F).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites La Manno et al., 2018 source
Not checked in the free run.
- Findingown data
Two neuro-glial subsets in the 3V expressed markers of developing pinealocytes.
“Two neuro-glial subsets in the 3V expressed markers of developing pinealocytes (e.g. Crx, Krt19; Figure 2A, clusters 12 and 13, Figure S2B), which develop caudal to the 3V ChP.”
Quote in the paperNot a substantial claim - Findingown data
Wnt1+ cells localized near FoxJ1-expressing ChP epithelial cells.
“Focusing on the URL, we validated that Wnt1+ cells localized near FoxJ1-expressing ChP epithelial cells (by smFISH and immunohistochemistry, Figures 2C-G).”
Quote in the paperSubstantial claim - Findingown data
Comparing patterns across the three age groups using snRNA-seq data revealed all mesenchymal cell types - pericytes, fibroblasts, vSMCs, and meningeal fibroblasts.
“Comparing patterns across the three age groups using snRNA-seq data revealed all mesenchymal cell types – pericytes, fibroblasts, vSMCs, and meningeal fibroblasts (Figure 4C-F, S4G).”
Quote in the paperSubstantial claim - Findingown data
Regionalized differences identified by scRNA-seq data were recapitulated in the corresponding embryo snRNA-seq data.
“Regionalized differences identified by scRNA-seq data (Figure 3C) were recapitulated in the corresponding embryo snRNA-seq data (Figure S3E).”
Quote in the paperSubstantial claim - Findingown data
Macrophage states were associated with distinct spatial niches in the ChP, either basally under the epithelial cell monolayer or on the apical surface.
“Macrophage states were associated with distinct spatial niches in the ChP, either basally under the epithelial cell monolayer or on the apical surface (e.g., epiplexus position, Figure 5D), by image analysis of Cx3cr1-GFP transgenic mouse.”
Quote in the paperSubstantial claim - Findingown data
4V ChP fibroblasts expressed high levels of genes encoding signaling molecules with roles in hindbrain development.
“4V ChP fibroblasts also expressed high levels of genes encoding signaling molecules with roles in hindbrain development (e.g., Hhip (Chuang and McMahon, 1999), Ptch1 (Huang et al., 2009), Rbp4 (Chang et al., 2016), and Wisp1 (Lun et al., 2015a, Figure 4B, S4D).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Findingcitation
Mature epithelial cell profiles partitioned by ventricle, matching differential gene expression between LV and 4V ChP by bulk RNA-seq.
“Mature epithelial cell profiles partitioned by ventricle (Figure 3A), matching differential gene expression between LV and 4V ChP by bulk RNA-seq (Lun et al., 2015b) (Figure S3A).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lun et al., 2015b
Not checked in the free run.
- Findingown data
Diffusion map embedding of scRNA-seq embryonic profiles showed graded gene expression patterns spanning three transcriptional states.
“Diffusion map embedding of scRNA-seq embryonic profiles showed graded gene expression patterns spanning three transcriptional states (Figure 5C, STAR Methods).”
Quote in the paperSubstantial claim - Findingown data
3V ChP fibroblasts shared expression signatures with meningeal fibroblasts and the ceiling cell fibroblast subtype.
“3V ChP fibroblasts (Topic 7) shared expression signatures with meningeal fibroblasts (e.g., Apod, Slc1a3) and the ‘ceiling cell’ fibroblast subtype (e.g., Crym, Figure 4B, S4E; DeSisto et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites DeSisto et al., 2020 source
Not checked in the free run.
- Findingown data
A subset of Slc40a1+ macrophages expressed Spic and Clec4n, corresponding to recently described Clec4n+ macrophages in postnatal ChP.
“A subset of Slc40a1+ macrophages expressed Spic and Clec4n (Figure S5D), corresponding to recently described Clec4n+ macrophages in postnatal ChP (Li et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Li et al., 2019
Not checked in the free run.
- Findingown data
Age-dependent expression of transporters and channels involved in ion and water movement across the epithelium was found.
“We found age-dependent expression of transporters and channels involved in ion and water movement across the epithelium, aligning with a key function of epithelial cells to produce CSF (Damkier et al., 2013; Fame and Lehtinen, 2020).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Damkier et al., 2013 source
Not checked in the free run.
- cites Fame and Lehtinen, 2020
Not checked in the free run.
- Findingown data
Mapping the expression of highly scoring genes for these topics in the 4V ChP in situ identified a rostro-caudal gradient of expression.
“Mapping the expression of highly scoring genes for these topics in the 4V ChP in situ identified a rostro-caudal gradient of expression (Figure 3E), which may derive from the earliest stages of development, when roof plate progenitors originating from distinct rhombomeres give rise to hindbrain and 4V ChP (Hunter and Dymecki, 2007).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hunter and Dymecki, 2007
Not checked in the free run.
- Findingown data
Ventricle-dependent topics revealed regionalized expression of genes encoding growth factors and extracellular matrix proteins.
“The ventricle-dependent topics revealed regionalized expression of genes encoding growth factors (Bmp4/7, Wnt4/2) and extracellular matrix proteins (Figure 4B, S4F).”
Quote in the paperSubstantial claim - Findingown data
In macrophages, heterogeneity was found within stromal and CSF-contacting epiplexus cells.
“In macrophages (Cx3cr1+;Csf1R+), the largest class of immune cells in the ChP, we found heterogeneity within stromal and CSF-contacting epiplexus cells.”
Quote in the paperSubstantial claim - Findingown data
Mesenchymal cells across all ages and ventricles expressed Ace2, cathepsins (Ctsl and Ctsb), and Neuropilin-1 (NRP1).
“Mesenchymal cells across all ages and ventricles expressed Ace2 (Angiotensin I converting enzyme 2; Figure 4J,S4J), the SARS-CoV-2 receptor, and other known and putative accessory components, including cathepsins (Ctsl and Ctsb (Muus et al., 2020)) and Neuropilin-1 (NRP1 (Cantuti-Castelvetri et al., 2020)) (Figure 4J, S4J).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Muus et al., 2020
Not checked in the free run.
- cites Cantuti-Castelvetri et al., 2020 source
Not checked in the free run.
- Findingown data
Differentially expressed genes between macrophage states included Lyve1, Spp1, Slc40a1, and Spic.
“Differentially expressed genes between states included the hyaluronan receptor Lyve1 (Jordão et al., 2019a; Lim et al., 2018); Spp1, a potential regulator of phagocytosis in the brain (Hammond et al., 2019); Slc40a1, an iron transporter; and Spic, which marks red pulp macrophages (Haldar et al., 2014) and bone marrow macrophages (Kohyama et al., 2009) that we confirmed by IHC (Figure 5C, S5C).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Findingown data
Topic modeling of embryonic mesenchymal cells recovered topics capturing mesenchymal cell types and ventricle-dependent topics within fibroblasts.
“Topic modeling of the embryonic cells recovered topics capturing mesenchymal cell types (e.g., pericytes (topic 3), proliferating cells (topics 12 and 16)), and ventricle-dependent topics within fibroblasts (e.g., LV (Topics 8 and 18), 3V (Topics 2 and 7) and 4V (Topic 5)) (Figure 4B, S4B,C, Table S4).”
Quote in the paperSubstantial claim - Findingown data
Maturing ChP epithelial cells in each ventricle transiently expressed ciliogenesis genes including Ccdc67/Deup1.
“The maturing ChP epithelial cells in each ventricle transiently expressed ciliogenesis genes including Ccdc67/Deup1 (Figures 2B, M-O), which drives centriole biogenesis, an essential step of multi-ciliation (Brooks and Wallingford, 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brooks and Wallingford, 2014
Not checked in the free run.
- Findingown data
Ins2 was over-expressed in 3V epithelial cells in the embryo.
“For example, Ins2, encoding an insulin precursor and associated with Topic 16, was over-expressed in 3V epithelial cells in the embryo (in scRNA-seq data, Figure 3B-D).”
Quote in the paperNot a substantial claim - Findingown data
Lineage tracing the progeny of Wnt1+ progenitors confirmed a common progenitor pool that can give rise to both epithelial and neuronal cells.
“We confirmed our hypothesis of a common progenitor pool by lineage tracing the progeny of Wnt1+ progenitors (by crossing Wnt1-CRE2 (Lewis et al., 2013) with R26R-Confetti mice (Livet et al., 2007; Snippert et al., 2010), Figure 2H,I.”
- Also stated in: § An inferred common progenitor pool for epithelial and neural cells validated by lineage tracing · plain
“These data support our model of a common progenitor pool that can give rise to both cell types.”
Quote in the paperSubstantial claim0 of 3 sources checked - Also stated in: § An inferred common progenitor pool for epithelial and neural cells validated by lineage tracing · plain
- Findingcitation
NRP1 protein expression was validated in mesenchymal cells.
“We also validated the expression of NRP1 protein, an effector of SARS-CoV-2 cell entry and infectivity, in mesenchymal cells (Cantuti-Castelvetri et al., 2020) (Figure 4M).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cantuti-Castelvetri et al., 2020 source
Not checked in the free run.
- Findingown data
A subset of the Cx3cr1+ macrophages located on the apical ChP surface expressed LYVE1.
“A subset of the Cx3cr1+ macrophages located on the apical ChP surface expressed LYVE1 (Figure 5G).”
Quote in the paperNot a substantial claim - Findingown data
Mesenchymal cell profiles partitioned into fibroblasts and mural cells expressing pericyte and vascular smooth muscle cell markers.
“Mesenchymal cell profiles partitioned into fibroblasts and mural cells expressing pericyte and vascular smooth muscle cell (vSMC) markers (Figure 4A, S4A), consistent with cranial mesenchyme and neural crest contributions to the stromal space (Martik and Bronner, 2017; Wilting and Christ, 1989).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Martik and Bronner, 2017
Not checked in the free run.
- cites Wilting and Christ, 1989
Not checked in the free run.
- Findingown data
There was age-dependent expression of genes encoding secreted proteins, including Klotho, which increased with age.
“There were also age-dependent expression of genes encoding secreted proteins (Figure 3H, S3H, Table S3), including the “anti-aging” gene Klotho (Kuro-o et al., 1997; Zhu et al., 2018), which increased with age (Figure 3H).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Findingown data
Analysis of 3V ChP in Wnt1-CRE2::R26R-Confetti mice revealed Wnt1-lineage contributions to 3V ChP epithelial cells.
“Analysis of 3V ChP in Wnt1-CRE2::R26R-Confetti mice further revealed Wnt1-lineage contributions to 3V ChP epithelial cells (Figure 2L).”
Quote in the paperSubstantial claim - Findingown data
Shisa8 was expressed near the base of acetylated tubulin tufts in multi-ciliated epithelial cells.
“Shisa8, a reprogramming regulator (Schiebinger et al., 2019), was also expressed near the base of acetylated tubulin tufts in multi-ciliated epithelial cells (Figure 2N,O).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schiebinger et al., 2019 source
Not checked in the free run.
- Findingown data
SnRNA-seq of embryonic, adult, and aged ChP across all ventricles identified macrophages, neutrophils, dendritic cells, plasma cells, and lymphoid (B- and T-) cells.
“SnRNA-seq of embryonic, adult, and aged ChP across all ventricles identified macrophages, neutrophils, dendritic cells, plasma cells, and lymphoid (B- and T-) cells (Figure 5H, S5E,F).”
Quote in the paperSubstantial claim - Findingown data
ACE2 protein expression was validated by mesenchymal cells in the stromal space and on some epithelial cells in embryonic, adult, and aged ChP.
“We validated ACE2 protein expression by mesenchymal cells in the stromal space (Figure 4K) and on some epithelial cells in embryonic, adult, and aged ChP (Figure 4K,L, S4K), similar to reports in human ChP (Yang et al., 2020).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Yang et al., 2020
Not checked in the free run.
- Findingown data
In the embryonic ChP, scRNA-seq profiles spanned eight subsets of immune cells: B cells, lymphocytes, macrophages, basophils, mast cells, dendritic cells, monocytes and neutrophils.
“In the embryonic ChP, scRNA-seq profiles spanned eight subsets of immune cells: B cells, lymphocytes, macrophages, basophils, mast cells, dendritic cells, monocytes and neutrophils (Figure 5A,B), each expressing specific cytokine, chemokine, and complement component genes (Figure S5A,B).”
Quote in the paperNot a substantial claim - Findingown data
Epithelial cells in the ChP partitioned into two subpopulations by their weights of topics 6, 11 or 23.
“For example, epithelial cells in the ChP partitioned into two subpopulations by their weights of topics 6, 11 or 23 (Figure 3B,E, S3F).”
Quote in the paperSubstantial claim - Findingcitation
Choroid plexus epithelial and mesenchymal cells show ventricle-specific regionalization.
“Our work builds on previous findings (Lun et al., 2015a) to demonstrate the ventricle-specific regionalization of epithelial and mesenchymal cells.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lun et al., 2015a
Not checked in the free run.
- Findingcitation
Several interactions were predicted across all ventricles and ages between immune cells and structural cells (epithelial, mesenchymal and endothelial).
“Several interactions were predicted across all ventricles and ages, between immune cells and structural cells (epithelial, mesenchymal and endothelial), in line with the diverse functions assigned to immune cells in other barrier systems (Krausgruber et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Krausgruber et al., 2020 source
Not checked in the free run.
- Findingown data
IL1R1 was expressed by endothelial, mesenchymal and epithelial cells in the choroid plexus.
“Its cognate receptor, IL1R1, was expressed by endothelial, mesenchymal and epithelial cells”
Quote in the paperSubstantial claim - Findingcitation
Non-capillary endothelial cells in the embryonic ChP expressed BBB markers Cldn5 and Mfsd2a, even though the ChP is recognized to lack a classic BBB.
“Specifically, non-capillary endothelial cells in the embryonic ChP expressed BBB markers (Cldn5 and Mfsd2a, Topic 11) (Figure 6A), even though the ChP is recognized to lack a classic BBB (Ben-Zvi et al., 2014; Saunders et al., 2018b).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Ben-Zvi et al., 2014 source
Not checked in the free run.
- cites Saunders et al., 2018b
Not checked in the free run.
- Findingown data
IL-1β immunolabeled macrophages in the aged choroid plexus localized to vessel-like structures bridging the choroid plexus with the brain parenchyma.
“IL-1β immunolabeled macrophages in the aged ChP localized to vessel-like structures bridging the ChP with the brain parenchyma (Figure 7F).”
Quote in the paperSubstantial claim - Findingown data
Ventricle-specific identities were maintained in adult and aged choroid plexus tissue.
“Ventricle-specific identities were maintained in the adult and aged tissue”
Quote in the paperSubstantial claim - Findingown data
The number of significant ligand-receptor interactions between each pair of cell types changed across ventricles and ages.
“The number of significant ligand-receptor interactions between each pair of cell types changed across ventricles and ages (Figure 7A, Figure S7A,B).”
Quote in the paperSubstantial claim - Findingown data
The study uncovered age-dependent changes within choroid plexus cellular signaling networks.
“uncovered age-dependent changes within ChP cellular signaling networks.”
Quote in the paperSubstantial claim - Findingown data
The arterio-venous zonation in the developing embryo was accompanied by enriched capillary marker expression along the ventricular margin of the ChP.
“The arterio-venous zonation in the developing embryo was accompanied by enriched capillary marker expression (e.g. Esm1) along the ventricular margin of the ChP, suggesting zonated gene expression in vessels across the developing ChP (Figure 6C).”
Quote in the paperSubstantial claim - Findingcitation
Diversity within the BAMs segregated into two subsets defined as MHC class IIlow and MHC IIhigh.
“In agreement with recent reports (Van Hove et al., 2019), we found diversity within the BAMs, which segregated into two subsets defined as major histocompatibility complex (MHC) class IIlow and MHC IIhigh.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Van Hove et al., 2019 source
Not checked in the free run.
- Findingown data
In 3V and 4V ChP, Bmp5-Bmpr1b LRP expression predicted signaling from mesenchymal to neuro/glial and epithelial cells.
“In 3V and 4V ChP, Bmp5-Bmpr1b LRP expression predicted signaling from mesenchymal to neuro/glial and epithelial cells (Figure 7C).”
Quote in the paperSubstantial claim - Findingcitation
The macrophages expressed markers of border associated macrophages (BAMs).
“The macrophages expressed markers of border associated macrophages (BAMs) (e.g., Apoe, Ms4a7, Ms4a6c) recently identified in periluminal regions, meninges, and ChP (Van Hove et al., 2019).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Van Hove et al., 2019 source
Not checked in the free run.
- Findingown data
A subset of macrophages expressing markers previously defined as subdural-specific BAMs were enriched in embryonic ChP macrophages.
“Similarly, we found a subset of macrophages expressing markers previously defined as subdural-specific BAMs (e.g., Lyve1, Ednrb, Colec12; Van Hove et al., 2019) that were enriched in embryonic ChP macrophages in our dataset (Figure S5H).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Van Hove et al., 2019 source
Not checked in the free run.
- Findingown data
Nov-Notch1 ligand receptor pair expression in the 3V ChP and Dlk1-Notch LRP in 4V ChP predicted ventricle-specific signaling from mesenchymal cells to most other cell types.
“For example, Nov-Notch1 ligand receptor pair (LRP) expression in the 3V ChP and Dlk1-Notch LRP in 4V ChP predicted ventricle-specific signaling from mesenchymal cells to most other cell types (Figure 7C).”
Quote in the paperSubstantial claim - Findingown data
Rspo2-Lgr4 LRP expression predicted signaling mainly from neuro/glial cells to epithelial and neuro/glial cells in the LV ChP.
“For example, Rspo2-Lgr4 LRP expression predicted signaling mainly from neuro/glial cells to epithelial and neuro/glial cells in the LV ChP.”
Quote in the paperNot a substantial claim - Findingown data
Comparing single nucleus profiles across ages revealed that arterial, venous, and capillary identities were established across adult ages and ventricles.
“Comparing single nucleus profiles across ages revealed that arterial, venous, and capillary identities were established across adult ages and ventricles (Figure 6D, S6C).”
Quote in the paperSubstantial claim - Findingown data
Topic modeling of scRNA-seq data of vascular cells recovered expression programs associated with capillary, arterial, and blood-brain barrier (BBB)-associated cells.
“In the embryo, topic modeling of scRNA-seq data of vascular cells recovered expression programs associated with capillary (Topic 3), arterial (Topic 8 and 10) and blood-brain barrier (BBB)-associated (Topic 11) cells (Figure 6A, S6A,B, Table S7).”
Quote in the paperSubstantial claim - Findingown data
Among age-specific interactions, several LRPs were embryonically enriched.
“Among age-specific interactions, several LRPs were embryonically enriched.”
Quote in the paperNot a substantial claim - Findingown data
Analysis of cognate ligand-receptor expression patterns across cell types, ventricles and ages predicted extensive cellular crosstalk involving all major ChP cell types.
“Analysis of cognate ligand-receptor expression patterns across cell types, ventricles and ages (STAR Methods) predicted extensive cellular crosstalk involving all major ChP cell types (Figure 7).”
Quote in the paperSubstantial claim - Findingown data
Cxcl12-Ackr3 LRP expression predicted signaling from mesenchymal to endothelial and other cell types in adult that increased with age.
“Among the ligand-receptor pairs expressed in adult that increased with age, Cxcl12-Ackr3 LRP expression predicted signaling from mesenchymal to endothelial and other cell types (Figure 7D).”
Quote in the paperNot a substantial claim - Findingown data
The study uncovered ventricle- and age-specific gene expression programs for epithelial and mesenchymal cells.
“uncovered ventricle- and age-specific gene expression programs for epithelial and mesenchymal cells”
Quote in the paperSubstantial claim - Findingown data
Mesenchymal and epithelial cells had a high number of interactions.
“Overall, mesenchymal and epithelial cells had a high number of interactions (Figure 7A, Figure S7B).”
Quote in the paperSubstantial claim - Findingown data
Additional genes became regionalized in adult choroid plexus and persisted into aging.
“additional genes became regionalized in the adult (and persisted into aging)”
Quote in the paperSubstantial claim - Findingown data
IL1R1 was enriched in endothelial and mesenchymal cells in aged choroid plexus.
“its receptor, IL1R1, was enriched in endothelial and mesenchymal cells (Figure 7E).”
Quote in the paperSubstantial claim - Findingown data
The study described immune cell diversity in the choroid plexus.
“described immune cell diversity”
Quote in the paperSubstantial claim - Findingown data
IL-1β expression was induced in aged choroid plexus macrophages.
“IL-1β expression was induced in aged ChP macrophages”
Quote in the paperSubstantial claim0 of 2 sources checked - Findingown data
Efna5-Ephb2 LRP expression predicted signaling from epithelial cells to neuro/glial cells in the developing ChP.
“Further, in the developing ChP, Efna5-Ephb2 LRP expression predicted signaling from epithelial cells to neuro/glial cells (Figure 7D), suggesting a role for Ephrin signaling in differentiation (similar to the gut; Kania and Klein, 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kania and Klein, 2016
Not checked in the free run.
- Findingown data
Csf1 was expressed by mesenchymal cells and endothelial cells in the choroid plexus.
“Csf1, a signal for macrophage and monocyte differentiation was expressed by mesenchymal cells and endothelial cells”
Quote in the paperSubstantial claim - Findingown data
Immunohistochemistry revealed enrichment of IL1R1 along endothelial structures.
“IHC revealed enrichment along endothelial structures (Figure 7G).”
Quote in the paperSubstantial claim - Findingown data
The study mapped developing and aging vascular structures in the choroid plexus.
“mapped developing and aging vascular structures”
Quote in the paperSubstantial claim - Findingcitation
Spatially mapped the developing arterio-venous zonation in the embryonic LV ChP in whole explants.
“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).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Vanlandewijck et al., 2018 source
Not checked in the free run.
- Findingown data
The study characterized choroid plexus cell types across ventricles and ages.
“Here, we characterized ChP cell types across ventricles and ages”
Quote in the paperSubstantial claim - Findingcitation
Most choroid plexus macrophages shared signature genes recently described for adult choroid plexus macrophages.
“Most ChP macrophages shared signature genes recently described for adult ChP macrophages (Jordão et al., 2019a)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Jordão et al., 2019a
Not checked in the free run.
- Findingown data
There was an upregulation of inflammatory signals in the aged choroid plexus, reflected in expression of Ifit1 and Il1b in aged epithelial cells.
“Overall, we observed an upregulation of the inflammatory signals in the aged ChP in agreement with prior studies (Baruch et al., 2014) that was reflected in expression of Ifit1 and Il1b in aged epithelial cells.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Baruch et al., 2014 source
Not checked in the free run.
- Findingown data
In validation experiments of Lyve1-expressing Cx3cr1-positive cells, some but not all epiplexus cells expressed LYVE1.
“we observed that some, but not all, epiplexus cells expressed LYVE1”
Quote in the paperNot a substantial claim - Findingown data
In the LDA analysis of epithelial cells, one topic (Topic 19) was enriched for immediate early genes.
“Notably, in the analysis of epithelial cells, one topic was enriched for immediate early genes (Topic 19, Figure S3B,C)”
Quote in the paperNot a substantial claim - Findingcitation
Most choroid plexus macrophages were Sall1 negative.
“and were Sall1 negative (Hammond et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hammond et al., 2019 source
Not checked in the free run.
- Findingcitation
Topic 19 was reduced in single nucleus profiles.
“because it was reduced in single nucleus profiles (Lacar et al., 2016) (Figure S3D).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lacar et al., 2016 source
Not checked in the free run.
- Findingnone given
The study provides a comprehensive map of the molecular, cellular and spatial diversity of each choroid plexus of the developing, adult, and aging mouse brain.
“In summary, our study provides a comprehensive map of the molecular, cellular and spatial diversity of each ChP of the developing, adult, and aging mouse brain.”
Quote in the paperSubstantial claim - Findingown data
Genes upregulated during development, such as Cd206/Mrc1, were downregulated in adult and aged macrophages.
“genes upregulated during development, such as Cd206/Mrc1, were downregulated in adult and aged macrophages.”
Quote in the paperSubstantial claim - Findingown data
The study did not uncover a transcriptional signature purely for epiplexus cells.
“While we did not uncover a transcriptional signature purely for epiplexus cells”
Quote in the paperNot a substantial claim - Findingown data
There were strong batch effects between replicates in the embryo epithelial and neuronal cells.
“because of strong batch effects between replicates.”
Quote in the paperSubstantial claim - Findingown data
Mesenchymal cells were the cell type with the most predicted interactions with other choroid plexus cell types.
“Notably, mesenchymal cells were the cell type with the most predicted interactions with other ChP cell types.”
Quote in the paperNot a substantial claim - Interpretationown data
A common progenitor pool for epithelial and neuronal cells may exist in the ChP.
“suggesting a common progenitor pool for both epithelial and neuronal cells may exist in the ChP.”
Quote in the paperSubstantial claim - Interpretationcitation
Ins2 expression in the 3V ChP supports the model that the ChP is an internal source of insulin for the brain.
“For example, Ins2 was expressed in the 3V ChP, supporting the model that the ChP is an internal source of insulin for the brain (Mazucanti et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mazucanti et al., 2019 source
Not checked in the free run.
- Interpretationown data
Epithelial cells likely adapt to fulfill age-dependent functions in the brain.
“Thus, epithelial cells likely adapt to fulfill age-dependent functions in the brain.”
Quote in the paperSubstantial claim - Interpretationreasoning
The predicted interactions between immune and structural cells may contribute to age-dependent macrophage migration and infiltration of the choroid plexus brain immune barrier.
“Overall, these interactions may contribute to age-dependent macrophage migration and infiltration of the ChP brain immune barrier.”
Quote in the paperSubstantial claim - Interpretationown data
Myeloid cell signaling maturation for Csf1r-expressing cells exists in the choroid plexus throughout life.
“suggesting that myeloid cell signaling maturation for Csf1r expressing cells exists in the ChP throughout life (Figure S7C, Table S7).”
Quote in the paperSubstantial claim - Interpretationcitation
These results identify molecular identities and vascular organization of ChPs across ventricles and ages that match vascular patterning in the human ChP.
“Overall, these results identify molecular identities and vascular organization of ChPs across ventricles and ages that match vascular patterning in the human ChP (Hudson, 1960).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hudson, 1960 source
Not checked in the free run.
- Interpretationcitation
Gene programs and graded expression patterns, particularly across 4V choroid plexus epithelial cells, may arise from the segmental development of the 4V choroid plexus from distinct rhombomeres.
“Gene programs and graded expression patterns, particularly across 4V ChP epithelial cells, may arise from the segmental development of the 4V ChP from distinct rhombomeres (Awatramani et al., 2003; Hunter and Dymecki, 2007).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Awatramani et al., 2003 source
Not checked in the free run.
- cites Hunter and Dymecki, 2007
Not checked in the free run.
- Interpretationown data
There is heterogeneity in immune cells positioned on the choroid plexus surface.
“demonstrating heterogeneity in immune cells positioned on the ChP surface.”
Quote in the paperSubstantial claim - Interpretationown data
These maturation-dependent changes agree with a recent report of border-associated macrophages.
“These maturation dependent changes agree with a recent report of BAMs (Van Hove et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Van Hove et al., 2019 source
Not checked in the free run.
- Interpretationown data
The diversity in choroid plexus macrophages is likely maturation-dependent.
“our data further clarify that this diversity is likely maturation-dependent”
Quote in the paperSubstantial claim - Study design and conductreasoning
Choroid plexus purity was limited by dissection along anatomically defined tissue boundaries, which were at times limited, for example in the 3V choroid plexus.
“We endeavored to isolate pure ChP by dissecting along anatomically defined tissue boundaries, which were at times limited (e.g., 3V ChP that has less defined borders).”
Quote in the paperNot a substantial claim - Interpretationown data
The previously described diversity in choroid plexus macrophages reflects instead a transition state between embryo and adult.
“suggesting that the previously described diversity reflect instead a transition state between embryo and adult.”
Quote in the paperSubstantial claim
- May combine two claims. 48
- Classified as probably not a substantial claim. 22
- The quote only partly states this claim. 2
May combine two claims.
Findingown dataTissue maturation was accompanied by a distinct shift in gene expression between embryo and adult/aged ChP, while canonical cell-type markers were conserved across ages and ventricles.
“While tissue maturation was accompanied by a distinct shift in gene expression between embryo and adult/aged ChP (Figure 1F-H, S1F,G), canonical cell-type markers were conserved across ages and ventricles (Figure 1I, Figure S1H,I).”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationThe diversity of embryonic glia and neuronal populations observed in scRNA-seq was confirmed by snRNA-seq and expanded to adult and aged ChP.
“The diversity of embryonic glia and neuronal populations observed in scRNA-seq was confirmed by snRNA-seq and expanded to adult and aged ChP (Figure S2D,E) (Dulken et al., 2017; Mizrak et al., 2019; Shah et al., 2018).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
Findingown dataActively cycling cell subsets were present within each of the six major cell classes in the developing ChP and were enriched along the base of the ChP proximal to the brain.
“Notably, actively cycling cell subsets were present within each of the six major cell classes in the developing ChP (Figure S1D) and were enriched along the base of the ChP proximal to the brain (Figure S1E).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe predicted progenitors expressed proliferation (Mki67) and known markers (Pax6, Rspo2/3, Wnt5a/3a/1, Fabp7).
“The predicted progenitors expressed proliferation (Mki67) and known markers (Pax6, Rspo2/3, Wnt5a/3a/1, Fabp7, clusters 7 and 8 in Figure 2A,B S2B; STAR Methods), previously reported for precursors of ependymal cells and cortical neurons (Kriegstein and Alvarez-Buylla, 2009), with Wnt1 having the most specific expression (Figure S2G).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kriegstein and Alvarez-Buylla, 2009 source
Not checked in the free run.
May combine two claims.
Findingown dataNeuronal and glia-like cells were captured in the ChP across all ages, validated by immunostaining.
“We captured neuronal (Tubb3 expressing) and glia-like (Slc1a3/EAAT1 or GFAP expressing) cells in the ChP across all ages, validated by immunostaining (Figures 1C,D,I, S1J-L), in agreement with previous studies (Lindvall et al., 1978).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lindvall et al., 1978 source
Not checked in the free run.
May combine two claims.
Findingown dataSubsets of neurons expressed markers of intermediate progenitors, immature neurons, and various neuropeptides.
“Subsets of neurons expressed markers of intermediate progenitors (e.g. Eomes/Tbr2) or of immature neurons (e.g. Neurod1/2, Dlx1/2), and various neuropeptides (e.g. Vgf, Chgb) (Figure S2B).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSnRNA-seq of embryonic, adult, and aged ChP identified the same major cell classes in each ventricle, with conservation of overall cellular composition with age.
“SnRNA-seq of embryonic, adult, and aged ChP identified the same major cell classes in each ventricle (as in scRNA-seq of embryonic samples, Figure 1F), with conservation of overall cellular composition with age.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataComparing patterns across three age groups profiled by snRNA-seq, both age-invariant and age-dependent expression patterns were found, including regionalized patterns, with the main shift occurring from embryo to adult and then persisting into aging.
“Comparing patterns across three age groups profiled by snRNA-seq, we found both age-invariant and age-dependent expression patterns, including regionalized patterns, with the main shift occurring from embryo to adult and then persisting into aging (Figure 3F,G).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSeveral topics reflected cross-ventricle regionalized gene programs, having differential weights between cells from different ventricles.
“Several topics reflected cross-ventricle regionalized gene programs (Topics 3, 6, 11, 14, 16, and 23), having differential weights between cells from different ventricles (Figure 3B, S3C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong age-dependent ventricle-invariant genes, embryonic fibroblasts expressed higher levels of developmental and morphogenesis genes, whereas adult and aged fibroblasts upregulated transporters, receptors, peptidase and proteolytic activity genes.
“Among age-dependent ventricle-invariant genes, embryonic fibroblasts expressed higher levels of developmental and morphogenesis genes, whereas the adult and aged fibroblasts upregulated transporters, receptors, peptidase and proteolytic activity genes (Figure 4I, S4H,I).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe proportion of replicating epithelial cells was reduced from ~10% in embryonic ChP to ~1% in adult ChP, with an overall shift towards more mature cells compared to ciliogenic epithelial cells (p < 0.05).
“Notably, the proportion of replicating epithelial cells was reduced from ~10% in embryonic ChP to ~1% in adult ChP, with an overall shift towards more mature cells compared to ciliogenic epithelial cells (p-value < 0.05, t-test on fraction of cells, Figure S2L).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWnt1-derived epithelial cells in the maturing 4V ChP extended away from the URL, and Wnt1-derived neurons were in close proximity to progenitors in the URL.
“Wnt1-derived epithelial cells in the maturing 4V ChP extended away from the URL, and Wnt1-derived neurons were in close proximity to progenitors in the URL (Figure 2J,K).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn fibroblasts, both age-invariant and age-dependent patterns were found, including regionalized patterns.
“In fibroblasts, we found both age-invariant and age-dependent patterns, including regionalized patterns (Figure 4G,H, Table S5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEmbryonic epithelia upregulated genes for developmental processes, while aged epithelia upregulated host-defense programs.
“These were enriched for specialized programs across ages: Embryonic epithelia upregulated genes for developmental processes (Figure 3K, S3K), while aged epithelia upregulated host-defense programs (Figure 3L, FDR q-value < 0.01, GOrilla (Eden et al., 2007, 2009;Baruch et al., 2014).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Findingown dataIn adult ChP, Slc12a2 (NKCC1), Kcnj13 (Kir7.1), and Slc4a5 (NBC4) were upregulated, while Aqp1 was modestly downregulated.
“For example, in adult ChP Slc12a2 (NKCC1), Kcnj13 (Kir7.1), and Slc4a5 (NBC4) were upregulated (see also (Xu et al., 2021)), while Aqp1 was modestly downregulated (Figure 3H, S3G).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Xu et al., 2021
Not checked in the free run.
May combine two claims.
Findingown dataDifferentiating epithelial populations mapped to distinct spatial boundaries within each ventricle, with progenitor cells located near the ChP-brain boundary.
“We mapped the differentiating populations to distinct spatial boundaries within each ventricle (Figure 2P-R), with progenitor cells located near the ChP-brain boundary (by smFISH of Rspo1/2/3; Wnt2b/3a/5a; Axin2) (Figure S2H-K).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAge-dependent fibroblast genes typically changed postnatally and were maintained in aged ChP.
“As in epithelial cells, age-dependent fibroblast genes typically changed postnatally and were maintained in aged ChP (Figure 4H).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationMacrophages were the most prevalent and were associated with blood vessels across all ages.
“Macrophages were the most prevalent and were associated with blood vessels across all ages (Figure S5G; Shipley et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shipley et al., 2020 source
Not checked in the free run.
May combine two claims.
Findingown dataIn the embryo, epithelial cells formed the largest cell class in each ChP and partitioned into subsets representing cycling, newly differentiated ciliogenic, and mature cells.
“In the embryo, epithelial cells formed the largest cell class in each ChP (by scRNA-seq, Figure S1B) and partitioned into subsets representing cycling, newly differentiated cells undergoing ciliogenesis (above, Figure 2N), and mature cells (Figure 3A).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationCx3cr1-GFP-expressing cells tiled across the ChP, with the subset expressing SLC40A1 located proximal to major vessels.
“Cx3cr1-GFP-expressing cells tiled across the ChP (Figure 5E; Cui et al., 2020), with the subset expressing SLC40A1 located proximal to major vessels, suggesting roles in regulating iron homeostasis (Figure 5F).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cui et al., 2020 source
Not checked in the free run.
May combine two claims.
Findingown dataIn contrast to Van Hove et al., the separation of BAM subsets was age-dependent and potentially represented a maturation-dependent shift from MHC IIlow to MHC IIhigh.
“However, in contrast to Van Hove et al., our data revealed that this separation was age-dependent and potentially represented a maturation-dependent shift from MHC IIlow to MHC IIhigh (Figure 5I, S5I,J, Table S6).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Van Hove et al., 2019 source
Not checked in the free run.
May combine two claims.
Findingown dataThe stereotyped vascular organization was retained in aged ChP, where Vwf and Selp (P-selectin) expression were also detected.
“The stereotyped vascular organization was retained in aged ChP (Figure 6F), where Vwf and Selp (P-selectin) expression were also detected (Figure 6G).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTopic modeling of embryonic ChP cells uncovered a previously unknown brain barrier transition zone embedded in the molecular and vascular map of the ChP, validated across ages.
“Notably, topic modeling of embryonic ChP cells also uncovered a previously unknown brain barrier transition zone embedded in the molecular and vascular map of the ChP, which we validated across ages.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMesenchymal cells (fibroblasts and pericytes) expressed Pdgfra and Pdgfrb respectively, and epithelial and endothelial cells expressed their cognate ligands, Pdgfa and Pdgfb respectively.
“For example, mesenchymal cells (fibroblasts and pericytes) expressed Pdgfra and Pdgfrb respectively, and epithelial and endothelial cells expressed their cognate ligands, Pdgfa and Pdgfb respectively (Figure S7C).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn adult and aged LV ChP, IHC showed that arteries and veins were regularly segmented across the tissue and connected by an expanded capillary-like network.
“In adult and aged LV ChP, IHC showed that arteries and veins were regularly segmented across the tissue (Figure 6E,F; Shipley et al., 2020) and connected by an expanded capillary-like network (Figure S6D) similar to human tissue (Hudson, 1960).”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
Findingown dataCD206 (Mrc1) expressed by embryonic macrophages was downregulated in adults, whereas CD74 was upregulated in adult and aged macrophages vs. embryos.
“For example, CD206 (Mrc1, mannose receptor C-type I) expressed by embryonic macrophages was downregulated in adults, whereas CD74 (MHC class II associated protein) was upregulated in adult and aged macrophages vs. embryos (Figure 5J-L, Figure S5H).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataComparing significant interactions across ventricles or ages revealed age- or ventricle-dependent interactions and overall differences in the number of interactions.
“Comparing significant interactions across ventricles or ages revealed age- or ventricle-dependent interactions and overall differences in the number of interactions (Figure 7B-D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCldn5 expression persisted in a subset of endothelial cells in snRNA-seq from all ages, and CLDN5 protein was prominent in the major arteries bifurcating from the choroidal artery and extending into the ChP.
“Cldn5 expression persisted in a subset of endothelial cells in snRNA-seq from all ages (Figure 6I, S6C), and CLDN5 protein was prominent in the major arteries bifurcating from the choroidal artery and extending into the ChP (Figure 6J, K, S6I).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIHC revealed VWF and SELP colocalized to enlarged luminal domains of vessels in aged mice, suggesting age-associated vascular damage.
“IHC revealed VWF and SELP colocalized to enlarged luminal domains of vessels in aged mice (Figure 6H), suggesting age-associated vascular damage.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe majority of significantly interacting cell type pairs involved mesenchymal cells (60%, 70% and 85% in embryonic, adult and aged, respectively), followed by epithelial cells (45%, 55% and 42% in embryonic, adult and aged, respectively).
“The majority of significantly interacting cell type pairs involved mesenchymal cells (FDR<0.05, 60%, 70% and 85% in embryonic, adult and aged, respectively), followed by epithelial cells (FDR<0.05, 45%, 55% and 42% in embryonic, adult and aged, respectively).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAdult regionalization occurred either by activation of expression of genes not expressed in the embryo or by restriction of expression of genes expressed across ventricles in the embryo.
“either by activation of expression (for genes not expressed in the embryo) or by restriction of expression (for genes expressed across ventricles in the embryo).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataVegfa was expressed in epithelial and mesenchymal cells and its receptor Flt1 on endothelial cells.
“Other notable interactions included Vegfa in epithelial and mesenchymal cells and its receptor Flt1 on endothelial cells (Figure S7C).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHistological analyses revealed arteries developing obliquely across the ChP and veins running along the ventricular free margin of the tissue.
“Histological analyses revealed arteries developing obliquely across the ChP and veins running along the ventricular free margin of the tissue (Figure 6B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn a more conservative, degree-preserving permutation test, the number of predicted interactions between most cell type pairs was not statistically significant, indicating the dominance of a cell type in the crosstalk across all cells and not specific pairs.
“Notably, in a more conservative, degree-preserving permutation test, the number of predicted interactions between most cell type pairs was not statistically significant (Figure S7D), indicating the dominance of a cell type in the crosstalk across all cells and not specific pairs.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSignificant individual interactions were found between each pair of cell types across all ventricles and ages, with specific cell type pairs having a significant enrichment in the number of interactions.
“We found significant individual interactions between each pair of cell types across all ventricles and ages, with specific cell type pairs having a significant enrichment in the number of interactions (Figure 7A, S7A,B, Table S8).”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationWhile no overt regionalization of endothelial cell programs was observed, venous markers were enriched in the 3V ChP across all ages.
“While we did not observe overt regionalization of endothelial cell programs, venous markers were enriched in the 3V ChP across all ages (Figure 6D, S6F,G), likely resulting from capture of the proximal vein of Galen (Mancini et al., 2015) (Figure S6H).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mancini et al., 2015 source
Not checked in the free run.
May combine two claims.
Findingown dataPlvap scored highly in Topic 3 from scRNA-seq of embryonic cells and was also identified in adult and aged snRNA-seq profiles.
“Moreover, Plvap, which marks diaphragms of fenestrated endothelial cells (Herrnberger et al., 2012), scored highly in Topic 3 from scRNA-seq of embryonic cells (Figure 6A), and was also identified in adult and aged snRNA-seq profiles (Figure S6C).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Herrnberger et al., 2012 source
Not checked in the free run.
May combine two claims.
Findingown dataWnt5a was most robustly expressed by mesenchymal cells and its receptor Ror1 was expressed, amongst others, by epithelial cells, suggesting lifelong contributions to ChP function.
“Wnt5a, a regulator of 4V ChP and hindbrain development (Kaiser et al., 2019), was most robustly expressed by mesenchymal cells and its receptor Ror1 was expressed, amongst others, by epithelial cells, suggesting lifelong contributions to ChP function (Figure S7C).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kaiser et al., 2019 source
Not checked in the free run.
May combine two claims.
FindingcitationEssentially all major choroid plexus cell types, and in particular choroid plexus fibroblasts, expressed many secreted factors found in cerebrospinal fluid, including Igf2.
“Essentially all major ChP cell types, and in particular ChP fibroblasts, also expressed many secreted factors found in CSF, including Igf2 (Lehtinen et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lehtinen et al., 2011 source
Not checked in the free run.
May combine two claims.
Findingown dataAdult macrophages upregulated CD74, which was even further upregulated in the aged choroid plexus.
“adult macrophages upregulated CD74, a chaperone of antigen presentation protein that was even further upregulated in the aged ChP.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataEpithelial cell clusters scored highly for immediate early genes.
“the epithelial cell clusters scoring highly for IEG genes (Figure S2D)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataMacrophage cells of replicate 3 had very high expression of mitochondrial genes.
“because they had very high expression of mitochondrial genes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataChoroid plexus immune cell populations show spatial organization and age-dependent expression across ventricles and within the choroid plexus.
“Our profiles of ChP immune cell populations revealed spatial organization and age-dependent expression across ventricles and within the ChP.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe random forest classifier trained on the embryo snRNA-seq dataset had an out-of-bag error of 1.7%.
“The out-of-bag error was 1.7%.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe choroid plexus in each brain ventricle produces cerebrospinal fluid and forms the blood-CSF barrier.
“The choroid plexus (ChP) in each brain ventricle produces cerebrospinal fluid (CSF) and forms the blood-CSF barrier.”
- Also stated in: § INTRODUCTION · boosted
“The choroid plexus (ChP) is an essential brain barrier known primarily as a source of cerebrospinal fluid (CSF) and comprises an analogous set of four tissue structures located in each brain ventricle.”
Quote in the paperSubstantial claim0 of 3 sources checked- Also stated in: § INTRODUCTION · boosted
May combine two claims.
PremisecitationBulk profiling indicates that each ChP retains a developmental blueprint of its origins along the body axis, with ventricle-specific transcriptomes and secretomes for the lateral and 4th ventricle ChPs.
“Bulk profiling of whole tissue (Liddelow et al., 2010; Lun et al., 2015b; Silva-Vargas et al., 2016) or sorted subpopulations (Lun et al., 2015b) indicates that each ChP retains a developmental blueprint of its origins along the body axis, with ventricle-specific transcriptomes and secretomes for the lateral and 4th ventricle ChPs (Lun et al., 2015a).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe ChP epithelial sheet, together with vasculature and diverse cell types, regulates CSF secretion and composition by de novo protein synthesis and selective transcytosis of blood-borne factors.
“The foundation of the ChP is an epithelial sheet that, together with a network of vasculature and diverse cell types, regulates CSF secretion and governs its composition by de novo protein synthesis and selective transcytosis of blood-borne factors (Damkier et al., 2013; Ghersi-Egea et al., 2018; Lun et al., 2015a; Saunders et al., 2018b).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEach ChP develops independently from distinct locations along the roofplate, where capillaries, mesenchymal and neural crest cells invaginate the neuroepithelium.
“Each ChP develops independently from distinct locations along the roofplate, where capillaries, mesenchymal and neural crest cells invaginate the neuroepithelium (Hunter and Dymecki, 2007; Lun et al., 2015a; Wilting and Christ, 1989).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Hunter and Dymecki, 2007
Not checked in the free run.
- cites Lun et al., 2015a
Not checked in the free run.
- cites Wilting and Christ, 1989
Not checked in the free run.
May combine two claims.
InterpretationcitationThese data highlight the potential of mesenchymal and epithelial ChP cells to facilitate viral particle entry into the CSF in all ventricles and ages and to contribute to neurological sequelae associated with SARS-CoV-2 infection.
“These data highlight the potential of mesenchymal and epithelial ChP cells to facilitate viral particle entry into the CSF (Pellegrini et al., 2020b, 2020a; Wu et al., 2020) in all ventricles and ages and to contribute to neurological sequelae associated with SARS-CoV-2 infection (Ellul et al., 2020).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Pellegrini et al., 2020b
Not checked in the free run.
- cites Pellegrini et al., 2020a
Not checked in the free run.
- cites Wu et al., 2020
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataDifferences between predicted significant interactions from scRNA-seq vs. snRNA-seq for embryo ChP may reflect differences in cell type recovery between methods.
“In addition, there were some differences between predicted significant interactions from scRNA-seq vs. snRNA-seq for embryo ChP, which may reflect differences in cell type recovery between methods (Figure S7A).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenMultiple comparisons ANOVA was employed and P < 0.05 was considered significant.
“Multiple comparisons ANOVA was employed using statistical software package Graphpad PRISM. Data are represented as mean ± SEM. P < 0.05 was considered significant.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study cannot rule out missing some lower expressed genes of interest to choroid plexus biology due to limitations in depth of coverage.
“We cannot rule out the possibility that we may miss some lower expressed genes of interest to ChP biology due to the limitations in depth of coverage.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNuclei with more than 10% of total UMIs mapped to mitochondrial genes were excluded.
“we excluded nuclei that had more than 10% of total UMI’s mapped to mitochondrial genes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCellPhoneDB is developed for human ligand-cognate receptor pairs.
“As CellPhoneDB is developed for human ligand-cognate receptor pairs”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Efremova et al., 2020 source
Not checked in the free run.
May combine two claims.
Study design and conductreasoningCellular health was particularly challenging for adult and aged tissues, leading the authors to favor differential sample processing.
“cellular health was particularly challenging for adult and aged tissues, ultimately leading us to favor differential sample processing”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationTopic 19 may reflect a response to tissue dissociation.
“and may reflect a response to tissue dissociation (van den Brink et al., 2017)”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe choroid plexus is a primary producer of cerebrospinal fluid and cerebrospinal fluid-distributed factors.
“The ChP is considered to be a primary producer of CSF and CSF-distributed factors (Ghersi-Egea et al., 2018; Lun et al., 2015a; Saunders et al., 2018b)”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Ghersi-Egea et al., 2018 source
Not checked in the free run.
- cites Lun et al., 2015a
Not checked in the free run.
- cites Saunders et al., 2018b
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll mouse work was performed in accordance with the Institutional Animal Care and Use Committees and relevant guidelines of Boston Children's Hospital and Masaryk University.
“All mouse work was performed in accordance with the Institutional Animal Care and Use Committees (IACUC) and relevant guidelines of Boston Children’s Hospital and Masaryk University.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataDoublets were identified and removed from scRNA-seq data.
“Doublets were clearly identifiable as forming their own clusters with dual expression of marker genes of distinct subsets (e.g., epithelial genes and endothelial genes) and were removed from further analysis and any visualizations.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationBatch correction was performed for each cell type separately using ComBat.
“Batch correction was performed for each cell type separately using ComBat as implemented in the R package sva (Leek et al., 2012), using the default parametric adjustment mode.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Leek et al., 2012 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Study design and conductown dataA total of four independent explants were quantified for regionalized proliferation in the LV choroid plexus.
“A total of four independent explants were quantified.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims. The quote only partly states this claim.
Study design and conductcitationNucleus doublets were identified using DoubletFinder and removed from downstream analysis.
“Nucleus doublets were identified using the R package DoubletFinder (version DoubletFinder_2.0.2, (McGinnis et al., 2019).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites McGinnis et al., 2019 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningDifferential sample processing introduced additional computational challenges in comparison of the two datasets.
“This strategy subsequently introduced additional computational challenges in comparison of the two datasets.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationCellBender was applied to each sample separately to address ambient RNA and other confounders.
“To address ambient (background) RNA and other confounders we applied CellBender (Fleming et al., 2019) to each sample separately”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fleming et al., 2019
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe number of topics and tolerance values were chosen by fitting a range of values and selecting those that gave robust topics and mostly saturated the number of informative topics found.
“we fit a range of K and tolerance values and picked values that gave us robust topics and where we mostly saturated the number of informative topics found.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe analysis required adjustments to computational tools including the use of topic modeling.
“required adjustments to our computational tools including the use of topic modeling.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The third ventricle is the least explored of the choroid plexuses.
“The less-accessible third ventricle is the least explored, and boundaries of all ChPs with adjacent neural tissues remain poorly defined.”
The paper relies on this without support.
The boundaries of all choroid plexuses with adjacent neural tissues remain poorly defined.
“The less-accessible third ventricle is the least explored, and boundaries of all ChPs with adjacent neural tissues remain poorly defined.”
The paper relies on this without support.
Earlier efforts to address deficiencies in choroid plexus knowledge were limited by the lack of techniques to access, isolate, and comprehensively profile the ChP across brain ventricles and ages.
“Earlier efforts to address these deficiencies were limited by the lack of techniques to access, isolate, and comprehensively profile the ChP across brain ventricles and ages.”
The paper relies on this without support.
The lack of a detailed cellular and molecular map for the choroid plexus has been a major obstacle to elucidating its roles in instructing brain development, brain function, understanding its barrier properties, and unlocking its lifelong therapeutic potential.
“The lack of a detailed cellular and molecular map for the ChP has been a major obstacle to elucidating its roles in instructing brain development, brain function, understanding its barrier properties, and unlocking its lifelong therapeutic potential.”
The paper relies on this without support.
The choroid plexus-cerebrospinal fluid system is implicated in a growing number of neurologic conditions.
“Since the ChP-CSF system is implicated in a growing number of neurologic conditions”
The paper relies on this without support.
Transitions between cell states and ages are continuous.
“Transitions between cell states and ages are continuous”
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?
No snRNA-seq study exists on the human choroid plexus in health or disease.
“but to our knowledge no snRNA-seq study exists on the human choroid plexus, in health or disease22.”
From Dysregulation of brain and choroid plexus cell types in severe COVID-19 (2021) · cites this paper as [22]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rspo3 probe is labeled as Rspo1
MinorThe probe listed for Rspo3 is labeled "mm-Rspo1," even though a separate Rspo1 probe is listed with a different reference number. The Rspo3 probe identity is therefore inconsistent within the probe list.
“Rspo3 (mm-Rspo1, Ref: 402011-C3)”
“Rspo1 (mm-Rspo1, Ref: 401991)”
Cites
Inference of Population Structure Using Multilocus Genotype Data
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000) · Genetics · doi:10.1093/genetics/155.2.945 · Cited by 33,871 · see citing works
(2008) · Journal of Machine Learning Research · Cited by 33,051 · see citing works
(2003) · Journal of Machine Learning Research · doi:10.5555/944919.944937 · Cited by 32,337 · see citing works
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502 · see citing works
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174 · see citing works
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2002) · The MIT Press eBooks · doi:10.7551/mitpress/1120.003.0082 · Cited by 12,649 · see citing works
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
McInnes, L., Healy, J., & Melville, J. (2018) · arXiv · doi:10.48550/arxiv.1802.03426 · Cited by 7,101 · see citing works
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts034 · Cited by 6,231 · see citing works
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572 · see citing works
Dimensionality reduction for visualizing single-cell data using UMAP
Becht, E., McInnes, L., Healy, J., Dutertre, C.-A., Kwok, I. W. H., Ng, L. G., Ginhoux, F., & Newell, E. W. (2019) · Nature Biotechnology · doi:10.1038/nbt.4314 · Cited by 5,358 · see citing works
McGinnis, C. S., Murrow, L. M., & Gartner, Z. J. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.003 · Cited by 4,521 · see citing works
La Manno, G., Soldatov, R., Zeisel, A., Braun, E., Hochgerner, H., Petukhov, V., Lidschreiber, K., Kastriti, M. E., Lönnerberg, P., Furlan, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0414-6 · Cited by 4,118 · see citing works
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837 · see citing works
Schmitz, J., Owyang, A. M., Oldham, E. R., Song, Y., Murphy, E., McClanahan, T. K., Zurawski, G., Moshrefi, M., Qin, J., Li, X., et al. (2005) · Immunity · doi:10.1016/j.immuni.2005.09.015 · Cited by 3,701 · see citing works
Efremova, M., Vento-Tormo, M., Teichmann, S. A., & Vento-Tormo, R. (2020) · Nature Protocols · doi:10.1038/s41596-020-0292-x · Cited by 3,449 · see citing works
GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
Eden, E., Navon, R., Steinfeld, I., Lipson, D., & Yakhini, Z. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-48 · Cited by 3,356 · 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
(2012) · doi:10.1016/j.jmoldx.2011.08.002 · Cited by 2,567 · see citing works
The Glial Nature of Embryonic and Adult Neural Stem Cells
Kriegstein, A., & Alvarez-Buylla, A. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135600 · Cited by 2,475 · see citing works
Hammond, T. R., Dufort, C., Dissing-Olesen, L., Giera, S., Young, A., Wysoker, A., Walker, A. J., Segel, M., Nemesh, J., Saunders, A., et al. (2018) · doi:10.1101/406140 · Cited by 2,225 · see citing works
Neurological associations of COVID-19
Ellul, M. A., Benjamin, L., Singh, B., Lant, S., Michael, B. D., Easton, A., Kneen, R., Defres, S., Sejvar, J., & Solomon, T. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30221-0 · Cited by 2,156 · see citing works
A molecular atlas of cell types and zonation in the brain vasculature
Vanlandewijck, M., He, L., Mäe, M. A., Andrae, J., Ando, K., Del Gaudio, F., Nahar, K., Lebouvier, T., Laviña, B., Gouveia, L., et al. (2018) · Nature · doi:10.1038/nature25739 · Cited by 2,074 · see citing works
Nervous system involvement after infection with COVID-19 and other coronaviruses
Wu, Y., Xu, X., Chen, Z., Duan, J., Hashimoto, K., Yang, L., Liu, C., & Yang, C. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.03.031 · Cited by 2,046 · see citing works
Snippert, H. J., van der Flier, L. G., Sato, T., van Es, J. H., van den Born, M., Kroon-Veenboer, C., Barker, N., Klein, A. M., van Rheenen, J., Simons, B. D., et al. (2010) · Cell · doi:10.1016/j.cell.2010.09.016 · Cited by 1,951 · see citing works
Neuropilin-1 facilitates SARS-CoV-2 cell entry and infectivity
Cantuti-Castelvetri, L., Ojha, R., Pedro, L. D., Djannatian, M., Franz, J., Kuivanen, S., van der Meer, F., Kallio, K., Kaya, T., Anastasina, M., et al. (2020) · Science · doi:10.1126/science.abd2985 · Cited by 1,925 · see citing works
Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Livet, J., Weissman, T. A., Kang, H., Draft, R. W., Lu, J., Bennis, R. A., Sanes, J. R., & Lichtman, J. W. (2007) · Nature · doi:10.1038/nature06293 · Cited by 1,876 · see citing works
Molecular diversity and specializations among the cells of the adult mouse brain
Saunders, A., Macosko, E. Z., Wysoker, A., Goldman, M., Krienen, F. M., de Rivera, H., Bien, E., Baum, M., Bortolin, L., Wang, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.028 · Cited by 1,847 · see citing works
Diffusion pseudotime robustly reconstructs lineage branching
Haghverdi, L., Büttner, M., Wolf, F. A., Buettner, F., & Theis, F. J. (2016) · Nature Methods · doi:10.1038/nmeth.3971 · Cited by 1,385 · see citing works
Extracellular matrix: A dynamic microenvironment for stem cell niche
Gattazzo, F., Urciuolo, A., & Bonaldo, P. (2014) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2014.01.010 · Cited by 1,304 · see citing works
The iron exporter ferroportin/Slc40a1 is essential for iron homeostasis
Donovan, A., Lima, C. A., Pinkus, J. L., Pinkus, G. S., Zon, L. I., Robine, S., & Andrews, N. C. (2005) · Cell Metabolism · doi:10.1016/j.cmet.2005.01.003 · Cited by 1,275 · see citing works
Reboldi, A., Coisne, C., Baumjohann, D., Benvenuto, F., Bottinelli, D., Lira, S., Uccelli, A., Lanzavecchia, A., Engelhardt, B., & Sallusto, F. (2009) · Nature Immunology · doi:10.1038/ni.1716 · Cited by 1,206 · see citing works
A revised airway epithelial hierarchy includes CFTR-expressing ionocytes
Montoro, D. T., Haber, A. L., Biton, M., Vinarsky, V., Lin, B., Birket, S. E., Yuan, F., Chen, S., Leung, H. M., Villoria, J., et al. (2018) · Nature · doi:10.1038/s41586-018-0393-7 · Cited by 1,206 · see citing works
Self-citationVan Hove, H., Martens, L., Scheyltjens, I., De Vlaminck, K., Pombo Antunes, A. R., De Prijck, S., Vandamme, N., De Schepper, S., Van Isterdael, G., Scott, C. L., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0393-4 · Cited by 1,160 · see citing works
Li, Q., Cheng, Z., Zhou, L., Darmanis, S., Neff, N. F., Okamoto, J., Gulati, G., Bennett, M. L., Sun, L. O., Clarke, L. E., et al. (2019) · Neuron · doi:10.1016/j.neuron.2018.12.006 · Cited by 1,129 · see citing works
Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations
van den Brink, S. C., Sage, F., Vértesy, Á., Spanjaard, B., Peterson-Maduro, J., Baron, C. S., Robin, C., & van Oudenaarden, A. (2017) · Nature Methods · doi:10.1038/nmeth.4437 · Cited by 1,072 · see citing works
Massively parallel single-nucleus RNA-seq with DroNc-seq
Habib, N., Avraham-Davidi, I., Basu, A., Burks, T., Shekhar, K., Hofree, M., Choudhury, S. R., Aguet, F., Gelfand, E., Ardlie, K., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4407 · Cited by 1,069 · see citing works
Self-citationMfsd2a is critical for the formation and function of the blood-brain barrier
Ben-Zvi, A., Lacoste, B., Kur, E., Andreone, B. J., Mayshar, Y., Yan, H., & Gu, C. (2014) · Nature · doi:10.1038/nature13324 · Cited by 1,037 · see citing works
Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation
Jordão, M. J. C., Sankowski, R., Brendecke, S. M., Sagar, Locatelli, G., Tai, Y.-H., Tay, T. L., Schramm, E., Armbruster, S., Hagemeyer, N., et al. (2019) · Science · doi:10.1126/science.aat7554 · Cited by 843 · see citing works
Schiebinger, G., Shu, J., Tabaka, M., Cleary, B., Subramanian, V., Solomon, A., Gould, J., Liu, S., Lin, S., Berube, P., et al. (2019) · Cell · doi:10.1016/j.cell.2019.01.006 · Cited by 829 · see citing works
Self-citationNew Neurons Follow the Flow of Cerebrospinal Fluid in the Adult Brain
Sawamoto, K., Wichterle, H., González-Pérez, Ó., Cholfin, J. A., Yamada, M., Spassky, N., Murcia, N. S., García‐Verdugo, J. M., Marín, Ó., Rubenstein, J. L. R., et al. (2006) · Science · doi:10.1126/science.1119133 · Cited by 803 · see citing works
Vertebrate Hedgehog signalling modulated by induction of a Hedgehog-binding protein
Chuang, P., & McMahon, A. P. (1999) · Nature · doi:10.1038/17611 · Cited by 798 · see citing works
Forebrain gene expression domains and the evolving prosomeric model
Puelles, L., & Rubenstein, J. L. R. (2003) · Trends in Neurosciences · doi:10.1016/s0166-2236(03)00234-0 · Cited by 734 · see citing works
Discovering motifs in ranked lists of DNA sequences
Eden, E., Lipson, D., Yogev, S., & Yakhini, Z. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030039 · Cited by 696 · see citing works
Insulin Action in Brain Regulates Systemic Metabolism and Brain Function
Kleinridders, A., Ferris, H. A., Cai, W., & Kahn, C. R. (2014) · Diabetes · doi:10.2337/db14-0568 · Cited by 688 · see citing works
Shechter, R., Miller, O., Yovel, G., Rosenzweig, N., London, A., Ruckh, J., Kim, K.-W., Klein, E., Kalchenko, V., Bendel, P., et al. (2013) · Immunity · doi:10.1016/j.immuni.2013.02.012 · Cited by 683 · see citing works
Development and functions of the choroid plexus–cerebrospinal fluid system
Lun, M. P., Monuki, E. S., & Lehtinen, M. K. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3921 · Cited by 682 · see citing works
Self-citationDiffusion maps for high-dimensional single-cell analysis of differentiation data
Haghverdi, L., Buettner, F., & Theis, F. J. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv325 · Cited by 649 · see citing works
The cerebrospinal fluid provides a proliferative niche for neural progenitor cells
Lehtinen, M. K., Zappaterra, M. W., Chen, X., Yang, Y. J., Hill, A. D., Lun, M., Maynard, T., Gonzalez, D., Kim, S., Ye, P., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.01.023 · Cited by 648 · see citing works
Self-citation<i>destiny</i> : diffusion maps for large-scale single-cell data in R
Angerer, P., Haghverdi, L., Büttner, M., Theis, F. J., Marr, C., & Buettner, F. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btv715 · Cited by 640 · see citing works
A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo
Diez-Roux, G., Banfi, S., Sultan, M., Geffers, L., Anand, S., Rozado, D., Magen, A., Canidio, E., Pagani, M., Peluso, I., et al. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1000582 · Cited by 638 · see citing works
Mechanisms of ephrin–Eph signalling in development, physiology and disease
Kania, A., & Klein, R. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2015.16 · Cited by 635 · see citing works
Dysregulation of brain and choroid plexus cell types in severe COVID-19
Yang, A. C., Kern, F., Losada, P. M., Agam, M. R., Maat, C. A., Schmartz, G. P., Fehlmann, T., Stein, J. A., Schaum, N., Lee, D. P., et al. (2021) · Nature · doi:10.1038/s41586-021-03710-0 · Cited by 620 · see citing works
Aging-induced type I interferon response at the choroid plexus negatively affects brain function
Baruch, K., Deczkowska, A., David, E., Castellano, J. M., Miller, O., Kertser, A., Berkutzki, T., Barnett-Itzhaki, Z., Bezalel, D., Wyss-Coray, T., et al. (2014) · Science · doi:10.1126/science.1252945 · Cited by 615 · see citing works
Cerebrospinal fluid secretion by the choroid plexus
Damkier, H. H., Brown, P. D., & Praetorius, J. (2013) · Physiological Reviews · doi:10.1152/physrev.00004.2013 · Cited by 606 · see citing works
Pellegrini, L., Albecka, A., Mallery, D. L., Kellner, M. J., Paul, D., Carter, A. P., James, L. C., & Lancaster, M. A. (2020) · Cell stem cell · doi:10.1016/j.stem.2020.10.001 · Cited by 546 · see citing works
GenePaint.org: an atlas of gene expression patterns in the mouse embryo
Visel, A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh029 · Cited by 528 · see citing works
Role for Spi-C in the development of red pulp macrophages and splenic iron homeostasis
Kohyama, M., Ise, W., Edelson, B. T., Wilker, P. R., Hildner, K., Mejia, C., Frazier, W. A., Murphy, T. L., & Murphy, K. M. (2009) · Nature · doi:10.1038/nature07472 · Cited by 479 · see citing works
Ghersi-Egea, J.-F., Strazielle, N., Catala, M., Silva-Vargas, V., Doetsch, F., & Engelhardt, B. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1807-1 · Cited by 436 · see citing works
Structural cells are key regulators of organ-specific immune responses
Krausgruber, T., Fortelny, N., Fife-Gernedl, V., Senekowitsch, M., Schuster, L. C., Lercher, A., Nemc, A., Schmidl, C., Rendeiro, A. F., Bergthaler, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2424-4 · Cited by 434 · see citing works
Heme-mediated SPI-C induction promotes monocyte differentiation into iron-recycling macrophages
Haldar, M., Kohyama, M., So, A. Y.-L., KC, W., Wu, X., Briseño, C. G., Satpathy, A. T., Kretzer, N. M., Arase, H., Rajasekaran, N. S., et al. (2014) · Cell · doi:10.1016/j.cell.2014.01.069 · Cited by 431 · see citing works
A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells
Singer, M., Wang, C., Cong, L., Marjanovic, N. D., Kowalczyk, M. S., Zhang, H., Nyman, J., Sakuishi, K., Kurtuluş, S., Gennert, D. G., et al. (2016) · Cell · doi:10.1016/j.cell.2016.08.052 · Cited by 414 · see citing works
Self-citationHuman CNS barrier-forming organoids with cerebrospinal fluid production
Pellegrini, L., Bonfio, C., Chadwick, J., Begum, F., Skehel, M., & Lancaster, M. A. (2020) · Science · doi:10.1126/science.aaz5626 · Cited by 412 · see citing works
Karimy, J. K., Zhang, J., Kurland, D. B., Theriault, B. C., Durán, D., Stokum, J. A., Furey, C. G., Zhou, X., Mansuri, M. S., Montejo, J. D., et al. (2017) · Nature Medicine · doi:10.1038/nm.4361 · Cited by 411 · see citing works
Lung Single-Cell Signaling Interaction Map Reveals Basophil Role in Macrophage Imprinting
Cohen, M., Giladi, A., Gorki, A.-D., Gelbard-Solodkin, D., Zada, M., Hladik, A., Miklosi, A., Salame, T., Halpern, K. B., David, E., et al. (2018) · Cell · doi:10.1016/j.cell.2018.09.009 · Cited by 407 · see citing works
Nuclear RNA-seq of single neurons reveals molecular signatures of activation
Lacar, B., Linker, S. B., Jaeger, B. N., Krishnaswami, S. R., Barron, J. J., Kelder, M. J. E., Parylak, S. L., Paquola, A. C. M., Venepally, P., Novotny, M., et al. (2016) · Nature Communications · doi:10.1038/ncomms11022 · Cited by 405 · see citing works
Lim, H. Y., Lim, S. Y., Tan, C. K., Thiam, C. H., Goh, C. C., Carbajo, D., Chew, S. H. S., See, P., Chakarov, S., Wang, X. N., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.06.008 · Cited by 384 · see citing works
Schwartz, M., & Baruch, K. (2014) · The EMBO Journal · doi:10.1002/embj.201386609 · Cited by 349 · see citing works
Shen, M. D., Nordahl, C. W., Young, G. S., Wootton-Gorges, S. L., Lee, A., Liston, S. E., Harrington, K. R., Ozonoff, S., & Amaral, D. G. (2013) · Brain · doi:10.1093/brain/awt166 · Cited by 345 · see citing works
Choroid plexus transcytosis and exosome shuttling deliver folate into brain parenchyma
Grapp, M., Wrede, A., Schweizer, M., Hüwel, S., Galla, H., Snaidero, N., Simons, M., Bückers, J., Low, P. S., Urlaub, H., et al. (2013) · Nature Communications · doi:10.1038/ncomms3123 · Cited by 337 · see citing works
Dulken, B. W., Leeman, D. S., Boutet, S. C., Hebestreit, K., & Brunet, A. (2017) · Cell Reports · doi:10.1016/j.celrep.2016.12.060 · Cited by 334 · see citing works
van Houten, M., Posner, B. I., Kopriwa, B. M., & Brawer, J. R. (1979) · Endocrinology · doi:10.1210/endo-105-3-666 · Cited by 321 · see citing works
Brooks, E., & Wallingford, J. B. (2014) · Current Biology · doi:10.1016/j.cub.2014.08.047 · Cited by 314 · see citing works
Age-Dependent Niche Signals from the Choroid Plexus Regulate Adult Neural Stem Cells
Silva-Vargas, V., Maldonado-Soto, A. R., Mizrak, D., Codega, P., & Doetsch, F. (2016) · Cell stem cell · doi:10.1016/j.stem.2016.06.013 · Cited by 306 · see citing works
Lewis, A. E., Vasudevan, H. N., O’Neill, A. K., Soriano, P., & Bush, J. O. (2013) · Developmental Biology · doi:10.1016/j.ydbio.2013.04.026 · Cited by 289 · see citing works
Cilia-based flow network in the brain ventricles
Faubel, R., Westendorf, C., Bodenschatz, E., & Gregor Eichele, C. (2016) · Science · doi:10.1126/science.aae0450 · Cited by 279 · see citing works
The rhombic lip and early cerebellar development
Wingate, R. J. T. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00177-x · Cited by 277 · see citing works
PV-1 is a component of the fenestral and stomatal diaphragms in fenestrated endothelia
Stan, R. V., Kubitza, M., & Palade, G. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.23.13203 · Cited by 273 · see citing works
Blood–brain-barriers in aging and in Alzheimer’s disease
Marques, F., Sousa, J. C., Sousa, N., & Palha, J. A. (2013) · Molecular Neurodegeneration · doi:10.1186/1750-1326-8-38 · Cited by 273 · see citing works
Development of the mouse retinal vasculature: angiogenesis versus vasculogenesis.
Fruttiger, M. (2002) · PubMed · Cited by 272 · see citing works
Keep, R. F., & Jones, H. C. (1990) · Developmental Brain Research · doi:10.1016/0165-3806(90)90163-s · Cited by 257 · see citing works
Single-Cell Analysis of Regional Differences in Adult V-SVZ Neural Stem Cell Lineages
Mizrak, D., Levitin, H. M., Delgado, A. C., Crotet, V., Yuan, J., Chaker, Z., Silva-Vargas, V., Sims, P. A., & Doetsch, F. (2019) · Cell Reports · doi:10.1016/j.celrep.2018.12.044 · Cited by 248 · see citing works
Rocha, S. F., Schiller, M., Jing, D., Li, H., Butz, S., Vestweber, D., Biljes, D., Drexler, H. C. A., Nieminen-Kelhä, M., Vajkoczy, P., et al. (2014) · Circulation Research · doi:10.1161/circresaha.115.304718 · Cited by 246 · see citing works
Muus, C., Luecken, M. D., Eraslan, G., Waghray, A., Heimberg, G., Sikkema, L., Kobayashi, Y., Vaishnav, E. D., Subramanian, A., Smilie, C., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.19.049254 · Cited by 245 · see citing works
DeSisto, J., O’Rourke, R., Jones, H. E., Pawlikowski, B., Malek, A. D., Bonney, S., Guimiot, F., Jones, K. L., & Siegenthaler, J. A. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.06.009 · Cited by 241 · see citing works
Increased Extra-axial Cerebrospinal Fluid in High-Risk Infants Who Later Develop Autism
Shen, M. D., Kim, S. H., McKinstry, R. C., Gu, H., Hazlett, H. C., Nordahl, C. W., Emerson, R. W., Shaw, D., Elison, J. T., Swanson, M. R., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.02.1095 · Cited by 222 · see citing works
Shah, P. T., Stratton, J. A., Stykel, M. G., Abbasi, S., Sharma, S., Mayr, K. A., Koblinger, K., Whelan, P. J., & Biernaskie, J. (2018) · Cell · doi:10.1016/j.cell.2018.03.063 · Cited by 221 · see citing works
Skin-resident innate lymphoid cells converge on a pathogenic effector state
Bielecki, P., Riesenfeld, S. J., Hütter, J.-C., Triglia, E. T., Kowalczyk, M. S., Ricardo-González, R. R., Lian, M., Vesely, M. C. A., Kroehling, L., Xu, H. Y., et al. (2021) · Nature · doi:10.1038/s41586-021-03188-w · Cited by 218 · see citing works
Self-citationCryptic boundaries in roof plate and choroid plexus identified by intersectional gene activation
Awatramani, R., Soriano, P., Rodriguez, C., Mai, J. J., & Dymecki, S. M. (2003) · Nature Genetics · doi:10.1038/ng1228 · Cited by 215 · see citing works
Regulatory Logic Underlying Diversification of the Neural Crest
Martik, M. L., & Bronner-Fraser, M. E. (2017) · Trends in Genetics · doi:10.1016/j.tig.2017.07.015 · Cited by 207 · see citing works
Insulin Regulates Brain Function, but How Does It Get There?
Gray, S. M., Meijer, R. I., & Barrett, E. J. (2014) · Diabetes · doi:10.2337/db14-0340 · Cited by 206 · see citing works
Emergence and Developmental Roles of the Cerebrospinal Fluid System
Fame, R. M., & Lehtinen, M. K. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.01.027 · Cited by 201 · see citing works
Self-citationSympathetic nervous control of cerebrospinal fluid production from the choroid plexus
Lindvall, M., Edvinsson, L., & Owman, C. (1978) · Science · doi:10.1126/science.663649 · Cited by 195 · see citing works
R-spondin 2 is required for normal laryngeal-tracheal, lung and limb morphogenesis
Bell, S. M., Schreiner, C. M., Wert, S. E., Mucenski, M. L., Scott, W. J., & Whitsett, J. A. (2008) · Development · doi:10.1242/dev.013359 · Cited by 191 · see citing works
The choroid plexus is an important circadian clock component
Myung, J., Schmal, C., Hong, S., Tsukizawa, Y., Rose, P., Zhang, Y., Holtzman, M. J., Schutter, E. D., Herzel, H., Bordyugov, G., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03507-2 · Cited by 187 · see citing works
Nuclei multiplexing with barcoded antibodies for single-nucleus genomics
Gaublomme, J. T., Li, B., Aubin, C., Knecht, A., Yang, Y., Drokhlyansky, E., Wittenberghe, N. V., Waldman, J., Dionne, D. A., Nguyễn, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10756-2 · Cited by 181 · see citing works
Self-citationLun, M. P., Johnson, M. B., Broadbelt, K. G., Watanabe, M., Kang, Y., Chau, K. F., Springel, M. W., Malesz, A., Sousa, A. M. M., Pletikos, M., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3081-14.2015 · Cited by 178 · see citing works
Self-citationTransventricular delivery of Sonic hedgehog is essential to cerebellar ventricular zone development
Huang, X., Liu, J., Ketova, T., Fleming, J. T., Grover, V. K., Cooper, M. K., Litingtung, Y., & Chiang, C. C. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911838107 · Cited by 167 · see citing works
Fleming, S. J., Chaffin, M. D., Arduini, A., Akkad, A.-D., Banks, E., Marioni, J. C., Philippakis, A. A., Ellinor, P. T., & Babadi, M. (2019) · doi:10.1101/791699 · Cited by 164 · see citing works
Visualizing the structure of RNA-seq expression data using grade of membership models
Dey, K. K., Hsiao, C. J., & Stephens, M. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006599 · Cited by 161 · see citing works
Physiology and molecular biology of barrier mechanisms in the fetal and neonatal brain
Saunders, N. R., Dzięgielewska, K. M., Møllgård, K., & Habgood, M. D. (2018) · The Journal of Physiology · doi:10.1113/jp275376 · Cited by 151 · see citing works
Aitkenhead, M., Wang, S., Nakatsu, M. N., Mestas, J., Heard, C. J., & Hughes, C. C. W. (2002) · Microvascular Research · doi:10.1006/mvre.2001.2380 · Cited by 149 · see citing works
Klotho controls the brain-immune system interface in the choroid plexus
Zhu, L., Stein, L. R., Kim, D., Ho, K., Yu, G.-Q., Zhan, L., Larsson, T. E., & Mucke, L. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1808609115 · Cited by 148 · see citing works
The regulation of immune cell trafficking by the extracellular matrix
Hallmann, R., Zhang, X., Russo, J. D., Li, L., Song, J., Hannocks, M., & Sorokin, L. M. (2015) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2015.06.006 · Cited by 140 · see citing works
Choroid plexus NKCC1 mediates cerebrospinal fluid clearance during mouse early postnatal development
Xu, H., Fame, R. M., Sadegh, C., Sutin, J. D. B., Naranjo, C., Syau, D., Cui, J., Shipley, F. B., Vernon, A. N., Gao, F., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20666-3 · Cited by 129 · see citing works
Self-citationHistogenesis of choroid plexus in man
Shuangshotĭ, S., & Netsky, M. G. (1966) · American Journal of Anatomy · doi:10.1002/aja.1001180114 · Cited by 128 · see citing works
Inflammation of the Embryonic Choroid Plexus Barrier following Maternal Immune Activation
Cui, J., Shipley, F. B., Shannon, M. L., Alturkistani, O., Dani, N., Webb, M. D., Sugden, A. U., Andermann, M. L., & Lehtinen, M. K. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.09.020 · Cited by 128 · see citing works
Self-citationBaskin, D. G., Woods, S. C., West, D. B., van Houten, M., Posner, B. I., Dorsa, D. M., & Porte, D. (1983) · Endocrinology · doi:10.1210/endo-113-5-1818 · Cited by 122 · see citing works
The choroid plexus-cerebrospinal fluid interface in Alzheimer′s disease: more than just a barrier
Vandenbroucke, R. E., Balusu, S., Brkić, M., & Libert, C. (2016) · Neural Regeneration Research · doi:10.4103/1673-5374.180372 · Cited by 119 · see citing works
Shipley, F. B., Dani, N., Xu, H., Deister, C., Cui, J., Head, J. P., Sadegh, C., Fame, R. M., Shannon, M. L., Flores, V. I., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.08.024 · Cited by 118 · see citing works
Self-citationHuang, X., Ketova, T., Fleming, J. T., Wang, H., Dey, S. K., Litingtung, Y., & Chiang, C. (2009) · Development · doi:10.1242/dev.033795 · Cited by 106 · see citing works
Coulter, M. E., Dorobantu, C. M., Lodewijk, G. A., Delalande, F., Cianférani, S., Ganesh, V. S., Smith, R. S., Lim, E. T., Xu, C. S., Pang, S., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.06.100 · Cited by 106 · see citing works
Self-citationRelease of insulin produced by the choroid plexis is regulated by serotonergic signaling
Mazucanti, C. H., Liu, Q.-R., Lang, D., Huang, N., O’Connell, J. F., Camandola, S., & Egan, J. M. (2019) · JCI Insight · doi:10.1172/jci.insight.131682 · Cited by 101 · see citing works
Functional roles of Lgr4 and Lgr5 in embryonic gut, kidney and skin development in mice
Kinzel, B., Pikiolek, M., Orsini, V., Sprunger, J., Isken, A., Zietzling, S., Desplanches, M., Dubost, V., Breustedt, D., Valdez, R., et al. (2014) · Developmental Biology · doi:10.1016/j.ydbio.2014.03.009 · Cited by 98 · see citing works
Cross-Species Genomics Identifies TAF12, NFYC, and RAD54L as Choroid Plexus Carcinoma Oncogenes
Tong, Y., Merino, D. M., Nimmervoll, B. V., Gupta, K., Wang, Y., Finkelstein, D., Dalton, J., Ellison, D. W., Ma, X., Zhang, J., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.04.005 · Cited by 97 · see citing works
Paré, A., Mailhot, B., Lévesque, S. A., Juzwik, C., Ignatius Arokia Doss, P. M., Lécuyer, M.-A., Prat, A., Rangachari, M., Fournier, A., & Lacroix, S. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1714948115 · Cited by 94 · see citing works
Sonic hedgehog is required for vascular outgrowth in the hindbrain choroid plexus
Nielsen, C. M., & Dymecki, S. M. (2010) · Developmental Biology · doi:10.1016/j.ydbio.2010.01.032 · Cited by 89 · see citing works
Kaiser, K., Gyllborg, D., Procházka, J., Salašová, A., Kompaníková, P., Molina, F. L., Laguna-Goya, R., Radaszkiewicz, T., Harnoš, J., Procházková, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09298-4 · Cited by 87 · see citing works
Self-citationHunter, N. L., & Dymecki, S. M. (2007) · Development · doi:10.1242/dev.003095 · Cited by 83 · see citing works
Lack of endothelial diaphragms in fenestrae and caveolae of mutant Plvap-deficient mice
Herrnberger, L., Seitz, R., Kuespert, S., Bösl, M. R., Fuchshofer, R., & Tamm, E. R. (2012) · Histochemistry and Cell Biology · doi:10.1007/s00418-012-0987-3 · Cited by 76 · see citing works
Louvi, A., & Wassef, M. (2000) · Development · doi:10.1242/dev.127.18.4061 · Cited by 66 · see citing works
An experimental and ultrastructural study on the development of the avian choroid plexus
Wilting, J., & Christ, B. (1989) · Cell and Tissue Research · doi:10.1007/bf00218783 · Cited by 59 · see citing works
Mao, J., McKean, D. M., Warrier, S., Corbin, J. G., Niswander, L. A., & Zohn, I. E. (2010) · Development · doi:10.1242/dev.048744 · Cited by 54 · see citing works
Raphe origin of serotonin-containing neurons within choroid plexus of the rat
Moskowitz, M. A., Liebmann, J. E., Reinhard, J. F., & Schlosberg, A. J. (1979) · Brain Research · doi:10.1016/0006-8993(79)90410-4 · Cited by 53 · see citing works
Claudin 5 Is Transiently Expressed During the Development of the Retinal Pigment Epithelium
Kojima, S., Rahner, C., Peng, S., & Rizzolo, L. J. (2002) · The Journal of Membrane Biology · doi:10.1007/s00232-001-0137-7 · Cited by 51 · see citing works
Development of the lateral ventricular choroid plexus in a marsupial, Monodelphis domestica
Liddelow, S. A., Dziegielewska, K. M., VandeBerg, J. L., & Saunders, N. R. (2010) · Cerebrospinal Fluid Research · doi:10.1186/1743-8454-7-16 · Cited by 50 · see citing works
Zebrafish cerebrospinal fluid mediates cell survival through a retinoid signaling pathway
Chang, J. T., Lehtinen, M. K., & Sive, H. (2016) · Developmental Neurobiology · doi:10.1002/dneu.22300 · Cited by 42 · see citing works
Self-citationMancini, M., Greco, A., Tedeschi, E., Palma, G., Ragucci, M., Bruzzone, M. G., Coda, A. R. D., Torino, E., Scotti, A., Zucca, I., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129912 · Cited by 36 · see citing works
Hagan, N., & Zervas, M. (2011) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2011.11.008 · Cited by 35 · see citing works
Mice Expressing Myc in Neural Precursors Develop Choroid Plexus and Ciliary Body Tumors
Shannon, M. L., Fame, R. M., Chau, K. F., Dani, N., Calicchio, M. L., Géléoc, G. S. G., Lidov, H. G. W., Alexandrescu, S., & Lehtinen, M. K. (2018) · American Journal Of Pathology · doi:10.1016/j.ajpath.2018.02.009 · Cited by 25 · see citing works
Self-citationDo genes and environment meet to regulate cerebrospinal fluid dynamics? Relevance for schizophrenia
Palha, J. A., Santos, N. C., Marques, F., Sousa, J. C., Bessa, J. M., Miguelote, R. F. O., Sousa, N., & Belmonte-de-Abreu, P. S. (2012) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2012.00031 · Cited by 21 · see citing works
Bielecki, P., Riesenfeld, S. J., Kowalczyk, M. S., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/461228 · Cited by 21 · see citing works
Self-citationThe development of the vascular pattern of the choroid plexus of the lateral ventricles
Hudson, A. J. (1960) · Journal of Comparative Neurology · doi:10.1002/cne.901150206 · Cited by 15 · see citing works
Comment on “Multiple repressive mechanisms in the hippocampus during memory formation”
Mathew, R. S., Mullan, H., Blusztajn, J. K., & Lehtinen, M. K. (2016) · Science · doi:10.1126/science.aaf1288 · Cited by 15 · see citing works
Self-citationThe line between science and politics
Weintraub, M. (2016) · Science · doi:10.1126/science.aah3551 · Cited by 5 · see citing works
Flagged first, then by citations
2 of the 136 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Fleming, 2019, CellBender remove-background: A deep generative model for unsupervised removal of background noise from scRNA-seq datasets, BioRxiv, 791699
Cited by
Sorted by citations
Fleming, S. J., Chaffin, M. D., Arduini, A., Akkad, A.-D., Banks, E., Marioni, J. C., Philippakis, A. A., Ellinor, P. T., & Babadi, M. (2023) · Nature Methods · doi:10.1038/s41592-023-01943-7 · Cited by 867 · see citing works
Dysregulation of brain and choroid plexus cell types in severe COVID-19
Yang, A. C., Kern, F., Losada, P. M., Agam, M. R., Maat, C. A., Schmartz, G. P., Fehlmann, T., Stein, J. A., Schaum, N., Lee, D. P., et al. (2021) · Nature · doi:10.1038/s41586-021-03710-0 · Cited by 620 · see citing works
Human CNS barrier-forming organoids with cerebrospinal fluid production
Pellegrini, L., Bonfio, C., Chadwick, J., Begum, F., Skehel, M., & Lancaster, M. A. (2020) · Science · doi:10.1126/science.aaz5626 · Cited by 412 · see citing works
Transforming the understanding of brain immunity
Castellani, G., Croese, T., Peralta Ramos, J. M., & Schwartz, M. (2023) · Science · doi:10.1126/science.abo7649 · Cited by 386 · see citing works
Aburto, M. R., & Cryan, J. F. (2024) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-023-00890-0 · Cited by 391 · see citing works
The neuroimmune axis of Alzheimer’s disease
Jorfi, M., Maaser‐Hecker, A., & Tanzi, R. E. (2023) · Genome Medicine · doi:10.1186/s13073-023-01155-w · Cited by 299 · see citing works
Cerebrospinal fluid regulates skull bone marrow niches via direct access through dural channels
Mazzitelli, J. A., Smyth, L. C. D., Cross, K. A., Dykstra, T., Sun, J., Du, S., Mamuladze, T., Smirnov, I., Rustenhoven, J., & Kipnis, J. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01029-1 · Cited by 253 · see citing works
Brain borders at the central stage of neuroimmunology
Rustenhoven, J., & Kipnis, J. (2022) · Nature · doi:10.1038/s41586-022-05474-7 · Cited by 253 · see citing works
Identification, discrimination and heterogeneity of fibroblasts
Lendahl, U., Muhl, L., & Betsholtz, C. (2022) · Nature Communications · doi:10.1038/s41467-022-30633-9 · Cited by 242 · see citing works
García‐Bonilla, L., Shahanoor, Z., Sciortino, R. K., Nazarzoda, O., Racchumi, G., Iadecola, C., & Anrather, J. (2024) · Nature Immunology · doi:10.1038/s41590-023-01711-x · Cited by 217 · see citing works
Emergence and Developmental Roles of the Cerebrospinal Fluid System
Fame, R. M., & Lehtinen, M. K. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.01.027 · Cited by 201 · see citing works
Self-citationEmerging roles for CNS fibroblasts in health, injury and disease
Dorrier, C., Jones, H. E., Pintarić, L., Siegenthaler, J. A., & Daneman, R. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00525-w · Cited by 194 · see citing works
Immune cell compartmentalization for brain surveillance and protection
Croese, T., Castellani, G., & Schwartz, M. (2021) · Nature Immunology · doi:10.1038/s41590-021-00994-2 · Cited by 188 · see citing works
Insulin action in the brain: cell types, circuits, and diseases
Chen, W., Cai, W., Hoover, B., & Kahn, C. R. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.03.001 · Cited by 175 · see citing works
Fleming, S. J., Chaffin, M. D., Arduini, A., Akkad, A.-D., Banks, E., Marioni, J. C., Philippakis, A. A., Ellinor, P. T., & Babadi, M. (2019) · doi:10.1101/791699 · Cited by 164 · see citing works
Cerebrospinal fluid production by the choroid plexus: a century of barrier research revisited
MacAulay, N., Keep, R. F., & Zeuthen, T. (2022) · Fluids and Barriers of the CNS · doi:10.1186/s12987-022-00323-1 · Cited by 165 · see citing works
Blood-to-brain communication in aging and rejuvenation
Bieri, G., Schroer, A. B., & Villeda, S. A. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01238-8 · Cited by 156 · see citing works
Molecular anatomy of adult mouse leptomeninges
Pietilä, R., Del Gaudio, F., He, L., Vázquez-Liébanas, E., Vanlandewijck, M., Muhl, L., Mocci, G., Bjørnholm, K. D., Lindblad, C., Fletcher-Sandersjöö, A., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.09.002 · Cited by 145 · see citing works
The choroid plexus synergizes with immune cells during neuroinflammation
Xu, H., Lotfy, P., Gelb, S., Pragana, A., Hehnly, C., Byer, L. I. J., Shipley, F. B., Zawadzki, M. E., Cui, J., Deng, L., et al. (2024) · Cell · doi:10.1016/j.cell.2024.07.002 · Cited by 161 · see citing works
Self-citationIadecola, C., Smith, E. E., Anrather, J., Gu, C., Mishra, A., Misra, S., Pérez‐Pinzón, M. A., Shih, A. Y., Sorond, F. A., van Veluw, S. J., et al. (2023) · Stroke · doi:10.1161/str.0000000000000431 · Cited by 156 · see citing works
The choroid plexus links innate immunity to CSF dysregulation in hydrocephalus
Robert, S. M., Reeves, B. C., Kiziltug, E., Duy, P. Q., Karimy, J. K., Mansuri, M. S., Marlier, A., Allington, G., Greenberg, A. B. W., DeSpenza, T., et al. (2023) · Cell · doi:10.1016/j.cell.2023.01.017 · Cited by 160 · see citing works
The choroid plexus: a missing link in our understanding of brain development and function
Saunders, N. R., Dzięgielewska, K. M., Fame, R. M., Lehtinen, M. K., & Liddelow, S. A. (2022) · Physiological Reviews · doi:10.1152/physrev.00060.2021 · Cited by 141 · see citing works
Self-citationInflammation of the Embryonic Choroid Plexus Barrier following Maternal Immune Activation
Cui, J., Shipley, F. B., Shannon, M. L., Alturkistani, O., Dani, N., Webb, M. D., Sugden, A. U., Andermann, M. L., & Lehtinen, M. K. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.09.020 · Cited by 128 · see citing works
Self-citationPfau, S. J., Langen, U. H., Fisher, T. M., Prakash, I., Nagpurwala, F., Lozoya, R. A., Lee, W.-C. A., Wu, Z., & Gu, C. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01743-y · Cited by 119 · see citing works
Skull bone marrow channels as immune gateways to the central nervous system
Mazzitelli, J. A., Pulous, F. E., Smyth, L. C. D., Kaya, Z., Rustenhoven, J., Moskowitz, M. A., Kipnis, J., & Nahrendorf, M. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01487-1 · Cited by 116 · see citing works
Shipley, F. B., Dani, N., Xu, H., Deister, C., Cui, J., Head, J. P., Sadegh, C., Fame, R. M., Shannon, M. L., Flores, V. I., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.08.024 · Cited by 118 · see citing works
Self-citationThe choroid plexus and its role in the pathogenesis of neurological infections
Thompson, D., Brissette, C. A., & Watt, J. A. (2022) · Fluids and Barriers of the CNS · doi:10.1186/s12987-022-00372-6 · Cited by 110 · see citing works
Macrophages on the margin: choroid plexus immune responses
Cui, J., Xu, H., & Lehtinen, M. K. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.07.002 · Cited by 110 · see citing works
Self-citationCellular senescence, DNA damage, and neuroinflammation in the aging brain
Zhang, W., Sun, H., Wang, X., Dumont, A. S., & Liu, Q. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.04.003 · Cited by 113 · see citing works
Border-associated macrophages in the central nervous system
Sun, R., & Jiang, H. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03059-x · Cited by 107 · see citing works
Release of insulin produced by the choroid plexis is regulated by serotonergic signaling
Mazucanti, C. H., Liu, Q.-R., Lang, D., Huang, N., O’Connell, J. F., Camandola, S., & Egan, J. M. (2019) · JCI Insight · doi:10.1172/jci.insight.131682 · Cited by 101 · see citing works
The regulatory roles of motile cilia in CSF circulation and hydrocephalus
Kumar, V., Umair, Z., Kumar, S., Goutam, R. S., Park, S., & Kim, J. (2021) · Fluids and Barriers of the CNS · doi:10.1186/s12987-021-00265-0 · Cited by 96 · see citing works
Immune dynamics in the CNS and its barriers during homeostasis and disease*
Buckley, M. W., & McGavern, D. B. (2022) · Immunological Reviews · doi:10.1111/imr.13066 · Cited by 97 · see citing works
Pathogenesis of Alzheimer's disease: Involvement of the choroid plexus
Čarná, M. E., Onyango, I. G., Katina, S., Holub, D., Novotný, J., Nezvedová, M., Jha, D., Nedelská, Z., Lacovich, V., Vyvere, T. V., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.12970 · Cited by 96 · see citing works
The pathobiology of neurovascular aging
Santisteban, M. M., & Iadecola, C. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.014 · Cited by 94 · see citing works
MacAskill, M. G., Stadulytė, A., Williams, L., Morgan, T. E. F., Sloan, N., Alcaide-Corral, C. J., Walton, T., Wimberley, C., McKenzie, C.-A., Spath, N. B., et al. (2020) · Journal of Nuclear Medicine · doi:10.2967/jnumed.120.243600 · Cited by 85 · see citing works
Municio, C., Carrero, L., Antequera, D., & Carro, E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24010878 · Cited by 77 · see citing works
Diversity and function of brain-associated macrophages
Mildenberger, W., Stifter, S. A., & Greter, M. (2022) · Current Opinion in Immunology · doi:10.1016/j.coi.2022.102181 · Cited by 76 · see citing works
Bitanihirwe, B. K. Y., Lizano, P. L., & Woo, T.-U. W. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01623-6 · Cited by 78 · see citing works
Border-associated macrophages as gatekeepers of brain homeostasis and immunity
Vara‐Pérez, M., & Movahedi, K. (2025) · Immunity · doi:10.1016/j.immuni.2025.04.005 · Cited by 81 · see citing works
CNS border-associated macrophages in the homeostatic and ischaemic brain
Gerganova, G., Riddell, A., & Miller, A. A. (2022) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2022.108220 · Cited by 72 · see citing works
Yu, B., Zhang, Q., Lin, L., Zhou, X., Ma, W., Wen, S., Li, C., Wang, W., Wu, Q., Wang, X., et al. (2023) · Cell Discovery · doi:10.1038/s41421-022-00506-y · Cited by 75 · see citing works
Xue, X., Wu, X., Fan, Y., Han, S., Zhang, H., Sun, Y., Yin, Y., Yin, M., Chen, B., Sun, Z., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50564-x · Cited by 72 · see citing works
The CNS mononuclear phagocyte system in health and disease
Mundt, S., Greter, M., & Becher, B. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.005 · Cited by 67 · see citing works
Ho, K. H., & Patrizi, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-82800-5 · Cited by 65 · see citing works
Immunological defense of CNS barriers against infections
Ampie, L., & McGavern, D. B. (2022) · Immunity · doi:10.1016/j.immuni.2022.04.012 · Cited by 63 · see citing works
Ciliopathy patient variants reveal organelle-specific functions for TUBB4B in axonemal microtubules
Dodd, D. O., Méchaussier, S., Yeyati, P. L., McPhie, F., Anderson, J. R., Khoo, C. J., Shoemark, A., Gupta, D. K., Attard, T., Zariwala, M. A., et al. (2024) · Science · doi:10.1126/science.adf5489 · Cited by 61 · see citing works
The neuroimmune connectome in health and disease
Wheeler, M. A., & Quintana, F. J. (2025) · Nature · doi:10.1038/s41586-024-08474-x · Cited by 68 · see citing works
Constitutive activation of canonical Wnt signaling disrupts choroid plexus epithelial fate
Parichha, A., Suresh, V., Chatterjee, M., Kshirsagar, A., Ben‐Reuven, L., Olender, T., Taketo, M. M., Radošević, V., Bobić‐Rasonja, M., Trnski, S., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27602-z · Cited by 62 · see citing works
Macrophage compartmentalization in the brain and cerebrospinal fluid system
Munro, D. A. D., Movahedi, K., & Priller, J. (2022) · Science Immunology · doi:10.1126/sciimmunol.abk0391 · Cited by 55 · see citing works
Locally sourced: site-specific immune barriers to metastasis
Correia, A. L. (2023) · Nature reviews. Immunology · doi:10.1038/s41577-023-00836-2 · Cited by 58 · see citing works
Cerebrospinal fluid-contacting neurons: multimodal cells with diverse roles in the CNS
Wyart, C., Tano, M. C., Cantaut-Belarif, Y., Orts-Del’Immagine, A., & Böhm, U. L. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00723-8 · Cited by 65 · see citing works
Generation of human cerebral organoids with a structured outer subventricular zone
Walsh, R. M., Luongo, R., Giacomelli, E., Ciceri, G., Rittenhouse, C. A., Verrillo, A., Galimberti, M., Bocchi, V. D., Wu, Y., Xu, N., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114031 · Cited by 59 · see citing works
The path to leptomeningeal metastasis
Remšík, J., & Boire, A. A. (2024) · Nature reviews. Cancer · doi:10.1038/s41568-024-00700-y · Cited by 58 · see citing works
Labarta-Bajo, L., & Allen, N. J. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.010 · Cited by 58 · see citing works
Carloni, S., & Rescigno, M. (2022) · Seminars in Immunopathology · doi:10.1007/s00281-022-00955-3 · Cited by 54 · see citing works
Jang, A., Petrova, B., Cheong, T.-C., Zawadzki, M. E., Jones, J. K., Culhane, A. J., Shipley, F. B., Chiarle, R., Wong, E. T., Kanarek, N., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.08.009 · Cited by 50 · see citing works
Self-citationMechanisms of myeloid cell entry to the healthy and diseased central nervous system
Amann, L., Masuda, T., & Prinz, M. (2023) · Nature Immunology · doi:10.1038/s41590-022-01415-8 · Cited by 50 · see citing works
Location Matters: Navigating Regional Heterogeneity of the Neurovascular Unit
Bernier, L., Brunner, C., Cottarelli, A., & Balbi, M. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.696540 · Cited by 49 · see citing works
Choroid plexus mast cells drive tumor-associated hydrocephalus
Li, Y., Di, C., Song, S., Zhang, Y., Lu, Y., Liao, J., Lei, B., Zhong, J., Guo, K., Zhang, N., et al. (2023) · Cell · doi:10.1016/j.cell.2023.11.001 · Cited by 53 · see citing works
Central Nervous System Macrophages in Health and Disease
Hove, H. V., Feo, D. D., Greter, M., & Becher, B. (2025) · Annual Review of Immunology · doi:10.1146/annurev-immunol-082423-041334 · Cited by 46 · see citing works
Uriarte, M., Francesco, P. N. D., Fernández, G., Castrogiovanni, D. C., D'Arcangelo, M., Imbernón, M., Cantel, S., Denoyelle, S., Fehrentz, J., Prætorius, J., et al. (2021) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2021.111449 · Cited by 49 · see citing works
Bravi, B., Melloni, E. M. T., Paolini, M., Palladini, M., Calesella, F., Servidio, L., Agnoletto, E., Poletti, S., Lorenzi, C., Colombo, C., et al. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.11.036 · Cited by 47 · see citing works
Complex neural-immune interactions shape glioma immunotherapy
Song, K.-W., Lim, M. K., & Monje, M. (2025) · Immunity · doi:10.1016/j.immuni.2025.04.017 · Cited by 49 · see citing works
Transcriptional profiling of transport mechanisms and regulatory pathways in rat choroid plexus
Andreassen, S. N., Toft‐Bertelsen, T. L., Wardman, J. H., Villadsen, R., & MacAulay, N. (2022) · Fluids and Barriers of the CNS · doi:10.1186/s12987-022-00335-x · Cited by 46 · see citing works
Claflin, K. E., Flippo, K. H., Sullivan, A. I., Naber, M. C., Zhou, B., Neff, T. J., Jensen-Cody, S. O., & Potthoff, M. J. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101405 · Cited by 45 · see citing works
Dvir-Szternfeld, R., Castellani, G., Arad, M., Cahalon, L., Colaiuta, S. P., Keren‐Shaul, H., Croese, T., Burgaletto, C., Baruch, K., Ulland, T. K., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00149-w · Cited by 42 · see citing works
Zhan, X., Wang, S., Bèchet, N. B., Gouras, G. K., & Wen, G. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-07592-2 · Cited by 45 · see citing works
Regulation of choroid plexus development and its functions
Kompaníková, P., & Bryja, V. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04314-1 · Cited by 40 · see citing works
Self-citationXie, Y., Zhu, H., Yao, Y., Liu, C., Wu, S., Zhang, Y., & Zhu, W. (2024) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2024.105550 · Cited by 41 · see citing works
Choroid Plexus: The Orchestrator of Long-Range Signalling Within the CNS
Kaiser, K., & Bryja, V. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21134760 · Cited by 38 · see citing works
Self-citationDeSpenza, T., Carlson, M., Panchagnula, S., Robert, S. M., Duy, P. Q., Mermin‐Bunnell, K., Reeves, B. C., Kundishora, A. J., Elsamadicy, A. A., Smith, H. L., et al. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.08.007 · Cited by 40 · see citing works
Kim, Y. C., Ahn, J. H., Jin, H., Yang, M. J., Hong, S. P., Yoon, J., Kim, S.-H., Gebre, T. N., Lee, H. J., Kim, Y., et al. (2023) · Science Immunology · doi:10.1126/sciimmunol.adg6155 · Cited by 40 · see citing works
Monocyte-derived macrophages act as reinforcements when microglia fall short in Alzheimer’s disease
Abellanas, M. A., Purnapatre, M., Burgaletto, C., & Schwartz, M. (2025) · Nature Neuroscience · doi:10.1038/s41593-024-01847-5 · Cited by 39 · see citing works
Single-cell RNA and protein profiling of immune cells from the mouse brain and its border tissues
Scheyltjens, I., Hove, H. V., Vlaminck, K. D., Kancheva, D., Bastos, J., Vara‐Pérez, M., Antunes, A. R. P., Martens, L., Scott, C. L., Ginderachter, J. A. V., et al. (2022) · Nature Protocols · doi:10.1038/s41596-022-00716-4 · Cited by 38 · see citing works
Perivascular macrophages in high-fat diet-induced hypothalamic inflammation
Mendes, N. F., & Velloso, L. A. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02519-6 · Cited by 40 · see citing works
Choroid plexus aging: structural and vascular insights from the HCP-aging dataset
Sun, Z., Li, C., Zhang, J., Wısnıewskı, T., & Ge, Y. (2024) · Fluids and Barriers of the CNS · doi:10.1186/s12987-024-00603-y · Cited by 37 · see citing works
Transcriptional profiles of mouse oligodendrocyte precursor cells across the lifespan
Heo, D., Kim, A. A., Neumann, B., Doze, V. N., Xu, Y. K. T., Mironova, Y. A., Slosberg, J., Goff, L. A., Franklin, R. J. M., & Bergles, D. E. (2025) · Nature Aging · doi:10.1038/s43587-025-00840-2 · Cited by 42 · see citing works
Experimental approaches for manipulating choroid plexus epithelial cells
Jang, A., & Lehtinen, M. K. (2022) · Fluids and Barriers of the CNS · doi:10.1186/s12987-022-00330-2 · Cited by 34 · see citing works
Self-citationNon-Cell-Autonomous Factors Implicated in Parvalbumin Interneuron Maturation and Critical Periods
Gibel-Russo, R., Benacom, D., & Nardo, A. A. D. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2022.875873 · Cited by 36 · see citing works
Decoding Aging Hallmarks at the Single-Cell Level
Ma, S., Chi, X., Cai, Y., Ji, Z., Wang, S., Ren, J., & Liu, G. (2023) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-020722-120642 · Cited by 37 · see citing works
Establishing Hedgehog Gradients during Neural Development
Douceau, S., Guerrero, T. D., & Ferent, J. (2023) · Cells · doi:10.3390/cells12020225 · Cited by 31 · see citing works
Brain aging and rejuvenation at single-cell resolution
Sun, E., Nagvekar, R., Pogson, A. N., & Brunet, A. (2025) · Neuron · doi:10.1016/j.neuron.2024.12.007 · Cited by 33 · see citing works
Specificity of Adaptive Immune Responses in Central Nervous System Health, Aging and Diseases
Rickenbach, C., & Gericke, C. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.806260 · Cited by 31 · see citing works
Vázquez-Liébanas, E., Mocci, G., Li, W., Laviña, B., Reddy, A., O’Connor, C., Hudson, N., Elbeck, Z., Nikoloudis, I., Gaengel, K., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113911 · Cited by 31 · see citing works
The immunology of stroke and dementia
Iadecola, C., & Anrather, J. (2025) · Immunity · doi:10.1016/j.immuni.2024.12.008 · Cited by 32 · see citing works
MEIS-WNT5A axis regulates development of fourth ventricle choroid plexus
Kaiser, K., Jang, A., Kompaníková, P., Lun, M. P., Procházka, J., Machoň, O., Dani, N., Procházková, M., Laurent, B., Gyllborg, D., et al. (2021) · Development · doi:10.1242/dev.192054 · Cited by 29 · see citing works
Self-citationShinjyo, N., & Kita, K. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.765217 · Cited by 29 · see citing works
Qiao, H., Chiu, Y., Liang, X., Xia, S., Ayrapetyan, M., Liu, S., He, C., Song, R., Zeng, J., Deng, X., et al. (2023) · Journal of Medical Virology · doi:10.1002/jmv.28472 · Cited by 30 · see citing works
Species-specific NLRP3 regulation and its role in CNS autoinflammatory diseases
Koller, B. H., Nguyen, M., Snouwaert, J. N., Gabel, C. A., & Ting, J. P. ‐. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113852 · Cited by 28 · see citing works
Brain development and bioenergetic changes
Rajan, A., & Fame, R. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106550 · Cited by 21 · see citing works
Macrophage-derived CTSS drives the age-dependent disruption of the blood-CSF barrier
Chen, Y., Zhou, Y., Bai, Y., Jia, K., Zhang, H., Chen, Q., Song, M., Dai, Y., Shi, J., Chen, Z., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.01.023 · Cited by 28 · see citing works
The Impact of Ageing on the CNS Immune Response in Alzheimer’s Disease
Chee, S. E. J., & Solito, E. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.738511 · Cited by 27 · see citing works
Plasticity of the Injured Spinal Cord
Guérout, N. (2021) · Cells · doi:10.3390/cells10081886 · Cited by 27 · see citing works
Establishment of tissue-resident immune populations in the fetus
Feyaerts, D., Urbschat, C., Gaudilliere, B. L., & Stelzer, I. A. (2022) · Seminars in Immunopathology · doi:10.1007/s00281-022-00931-x · Cited by 27 · see citing works
Ye, Y., Gao, M., Shi, W., Gao, Y., Li, Y., Yang, W., Zheng, X., & Lu, X. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1325530 · Cited by 26 · see citing works
Magliozzi, R., Hametner, S., Mastantuono, M., Mensi, A., Karimian, M., Griffiths, L., Watkins, L. M., Poli, A., Berti, G. M., Barusolo, E., et al. (2024) · Brain Pathology · doi:10.1111/bpa.13322 · Cited by 25 · see citing works
Advancing brain barriers RNA sequencing: guidelines from experimental design to publication
Francisco, D. M. F., Marchetti, L., Rodríguez‐Lorenzo, S., Frías-Anaya, E., de Figueiredo, R. M., BtRAIN Network, Heymans, M., Culot, M., Santa-Maria, A. R., Deli, M. A., et al. (2020) · Fluids and Barriers of the CNS · doi:10.1186/s12987-020-00207-2 · Cited by 24 · see citing works
Inflammatory disequilibrium and lateral ventricular enlargement in treatment-resistant schizophrenia
Chen, W., Gou, M., Wang, L., Li, N., Li, W., Tong, J., Zhou, Y., Xie, T., Yu, T., Feng, W., et al. (2023) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2023.03.014 · Cited by 25 · see citing works
Parab, S., Card, O. A., Chen, Q., America, M., Buck, L. D., Quick, R. E., Horrigan, W. F., Levkowitz, G., Vanhollebeke, B., & Matsuoka, R. L. (2023) · eLife · doi:10.7554/elife.86066 · Cited by 25 · see citing works
- Authors
- Dani, N., Herbst, R. H., McCabe, C., Green, G. S., Kaiser, K., Head, J. P., Cui, J., Shipley, F. B., Jang, A., Dionne, D., Nguyen, L., Rodman, C., Riesenfeld, S. J., Prochazka, J., Prochazkova, M., Sedlacek, R., Zhang, F., Bryja, V., Rozenblatt-Rosen, O., Habib, N., Regev, A., & Lehtinen, M. K.
- Affiliations
- Boston Children's Hospital (US)
- Broad Institute (US)
- Hebrew University of Jerusalem (IL)
- Masaryk University (CZ)
- Corresponding author
- Habib, Naomi
- Regev, Aviv
- Lehtinen, Maria K.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 184
- Issue
- 11
- Pages
- 3056-3074.e21
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC8214809
- OpenAlex
- W3157400350
- Semantic Scholar
- 2401a5c95b12f729e979e5eaaabc8c3df3e80d3b
- Cited by
- 388
- References
- 136
- Citations by year
- 2026: 71 · 2025: 97 · 2024: 79 · 2023: 64 · 2022: 41 · 2021: 22 · 2020: 11 · 2019: 3
- FWCI
- 16.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 391 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- Funders
- Grantová Agentura České Republiky (LM2018129, GX19-28347X)
- Israel Science Foundation (1709/19)
- New York Stem Cell Foundation
- HHMI
- National Science Foundation
- Helen Hay Whitney Foundation
- NSF
- Broad Institute
- NIH (1U54HD090255, T32 HL110852)
- AFAR
- Ministerstvo Školství, Mládeže a Tělovýchovy (RVO 68378050)
- European Regional Development Fund
- Akademie Věd České Republiky (LM2018126l CZ.1.05/2.1.00/19.0395, CZ.02.1.01/0.0/0.0/16_013/0001789)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Cerebrospinal fluid and hydrocephalus
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Keywords
- choroid plexus, cerebrospinal fluid, blood-CSF barrier, brain ventricles, single-cell atlas, spatial atlas, mouse brain development, brain aging, choroid plexus epithelial cells, progenitor cells, lineage tracing, fibroblasts, macrophages, interleukin-1β signaling, host defense genes
- MeSH terms
- Age Factors, Aging, Animals, Blood-Brain Barrier, Brain, Brain Diseases, Cell Differentiation, Choroid Plexus, Epithelial Cells, Female, Male, Mice, Inbred C57BL, Signal Transduction, Cell Lineage, Mice, Single-Cell Analysis
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
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