Cerebrovasculature in brain malignancies from 13 surgical resected samples
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE242044 | GEO | 2024/08/26
REPOSITORIES: GEO
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2022-02-11 | GSE173731 | GEO
Project description:Brain metastasis (BrM) represents the most common and aggressive brain malignancy, predominantly arising from non-small cell lung cancer, breast cancer, and melanoma. Recent studies have revealed the importance of the brain tumor microenvironment (TME), notably diverse immune cells, which play important roles in regulating cancer progression in both primary and metastatic brain malignancies. The blood-brain barrier (BBB) is another critical TME component formed by endothelial cells, mural cells, astrocytic end-feet, and closely-associated microglial cells. Metastasizing cancer cells can utilize different strategies to traverse the BBB and once they have successfully seeded and colonized the brain, they can exploit the vasculature for their own benefit, forming the blood-tumor barrier. To explore the mechanisms underlying tumor vascularization in brain metastasis we performed a comprehensive multiomic analysis of the key components of the tumor vasculature. We integrated single-cell and/or bulk RNA sequencing of sorted endothelial and mural cells isolated from human and mouse BrM and non-tumor samples; immunofluorescence imaging analysis of the spatial architecture of the TME; and functional studies using BrM mouse models to target vascular regulators of tumor immunity. Our results provide a comprehensive understanding of the biology underlying vascularization in metastatic brain tumors, specifically highlighting the importance of vascular cells as immune regulators and proposing novel therapeutic strategies for these aggressive tumors.
2024-01-18 | GSE228355 | GEO
Project description:Genetic variation in the population has an influence on the manifestation of monogenic as well as multifactorial disorders, with the underlying genetic contribution dependent on several interacting variants. Common laboratory mouse strains used for modelling human disease lack the genetic variability of the human population. Therefore, outcomes of rodent studies show limited correlation with human disease. The functionality of brain vasculature is an important modifier of brain diseases. Importantly, the restrictive interface between blood and brain – the blood-brain barrier (BBB) serves as a major obstacle for CNS drug delivery. Using genetically diverse mouse strains, we aimed to investigate the phenotypic and transcriptomic variation of the intact BBB in different inbred mouse strains.We investigated the heterogeneity of brain vasculature in recently wild-derived mouse strains (CAST/EiJ, WSB/EiJ, PWK/PhJ) and long-inbred mouse strains (129S1/SvImJ, A/J, C57BL/6J, DBA/2J, NOD/ShiLtJ) using different phenotypic arms. We used immunohistochemistry and confocal laser microscopy followed by quantitative image analysis to determine vascular density and pericyte coverage in two brain regions – cortex and hippocampus. Using a low molecular weight fluorescence tracer, sodium fluorescein and spectrophotometry analysis, we assessed BBB permeability in young and aged mice of selected strains. For further phenotypic characterization of endothelial cells in inbred mouse strains, we performed bulk RNA sequencing of sorted endothelial cells isolated from cortex and hippocampus. We did not detect differences in cortical and hippocampal vessel density and pericyte coverage among all the investigated strains. The staining patterns of endothelial arteriovenous zonation markers were similar in different strains. BBB permeability to a small fluorescent tracer, sodium fluorescein, was also similar in different strains. Transcriptomic analysis of endothelial cells revealed that sex of the animal was a major determinant of gene expression differences. In addition, the expression level of several genes implicated in endothelial function and BBB biology differed between wild-derived and long-inbred mouse strains. Our analysis shows that although there were no major differences in parenchymal vascular morphology and BBB permeability between investigated mouse strains or sexes, transcriptomic differences of brain endothelial cells point to variation in gene expression of the intact BBB. These baseline variances might be confounding factors in pathological conditions that may lead to a differential functional outcome dependent on the sex or genetic polymorphism.
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2020-08-05 | GSE144474 | GEO
Project description:Blood–brain barrier (BBB) models derived from human stem cells are powerful tools to improve our understanding of cerebrovascular diseases and to facilitate drug development for the human brain. Yet providing stem cell–derived endothelial cells with the right signaling cues to acquire BBB characteristics while also retaining their vascular identity remains challenging. Here, we show that the simultaneous activation of cyclic AMP and Wnt/β-catenin signaling and inhibition of the TGF-β pathway in endothelial cells robustly induce BBB properties in vitro. To target this interaction, we present a small-molecule cocktail named cARLA, which synergistically enhances barrier tightness in a range of BBB models across species. Mechanistically, we reveal that the three pathways converge on Wnt/β-catenin signaling to mediate the effect of cARLA via the tight junction protein claudin-5. We demonstrate that cARLA shifts the gene expressional profile of human stem cell–derived endothelial cells toward the in vivo brain endothelial signature, with a higher glycocalyx density and efflux pump activity, lower rates of endocytosis, and a characteristic endothelial response to proinflammatory cytokines. Finally, we illustrate how cARLA can improve the predictive value of human BBB models regarding the brain penetration of drugs and targeted nanoparticles. Due to its synergistic effect, high reproducibility, and ease of use, cARLA has the potential to advance drug development for the human brain by improving BBB models across laboratories.
2024-04-18 | GSE224846 | GEO
Project description:Qosa2014 - Mechanistic modeling that
describes Aβ clearance across BBB
Qosa2014 - Mechanistic modeling that
describes Aβ clearance across BBB.
Encoded non-curated model. Issues:
- Confusing equation 6
- Missing initial values for spices
This model is described in the article:
Differences in amyloid-?
clearance across mouse and human blood-brain barrier models:
kinetic analysis and mechanistic modeling.
Qosa H, Abuasal BS, Romero IA,
Weksler B, Couraud PO, Keller JN, Kaddoumi A.
Neuropharmacology 2014 Apr; 79:
668-678
Abstract:
Alzheimer's disease (AD) has a characteristic hallmark of
amyloid-? (A?) accumulation in the brain. This accumulation of
A? has been related to its faulty cerebral clearance. Indeed,
preclinical studies that used mice to investigate A? clearance
showed that efflux across blood-brain barrier (BBB) and brain
degradation mediate efficient A? clearance. However, the
contribution of each process to A? clearance remains unclear.
Moreover, it is still uncertain how species differences between
mouse and human could affect A? clearance. Here, a modified
form of the brain efflux index method was used to estimate the
contribution of BBB and brain degradation to A? clearance from
the brain of wild type mice. We estimated that 62% of
intracerebrally injected (125)I-A?40 is cleared across BBB
while 38% is cleared by brain degradation. Furthermore,
in vitro and in silico studies were performed to compare
A? clearance between mouse and human BBB models. Kinetic
studies for A?40 disposition in bEnd3 and hCMEC/D3 cells,
representative in vitro mouse and human BBB models,
respectively, demonstrated 30-fold higher rate of (125)I-A?40
uptake and 15-fold higher rate of degradation by bEnd3 compared
to hCMEC/D3 cells. Expression studies showed both cells to
express different levels of P-glycoprotein and RAGE, while LRP1
levels were comparable. Finally, we established a mechanistic
model, which could successfully predict cellular levels of
(125)I-A?40 and the rate of each process. Established
mechanistic model suggested significantly higher rates of A?
uptake and degradation in bEnd3 cells as rationale for the
observed differences in (125)I-A?40 disposition between mouse
and human BBB models. In conclusion, current study demonstrates
the important role of BBB in the clearance of A? from the
brain. Moreover, it provides insight into the differences
between mouse and human BBB with regards to A? clearance and
offer, for the first time, a mathematical model that describes
A? clearance across BBB.
This model is hosted on
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MODEL1409240002.
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2015-04-15 | MODEL1409240002 | BioModels
Project description:Functional and structural dysfunction of the blood brain barrier (BBB) leads to severe alterations in brain physiology and is believed to trigger neurodegeneration. To investigate the molecular mechanisms driving the BBB dysfunction, very few human BBB cell culture models are available; of which, the human microvascular endothelial cell line (hCMEC/D3) is the most widely used. Thus far, array-based approaches or targeted seqeuncing based approaches have been employed to characterize the gene expression of the hCMEC/D3 model. However,The goal of this study is to perform deep transcriptomic sequencing of the BBB cell line and obtain features like gene expression, expressed single nucleotide variants, alternate splice forms, circular RNAs, long non-coding RNAs and micro RNAs. We have developed blood brain barriers transcriptomics landscape using RNA sequencing and micro RNA seqeuncing data obtained from replicates of hCMEC/D3 BBB cell line.
2016-03-17 | E-GEOD-76528 | biostudies-arrayexpress
Project description:Functional and structural dysfunction of the blood brain barrier (BBB) leads to severe alterations in brain physiology and is believed to trigger neurodegeneration. To investigate the molecular mechanisms driving the BBB dysfunction, very few human BBB cell culture models are available;of which, the human microvascular endothelial cell line (hCMEC/D3) is the most widely used. Thus far, array-based approaches or targeted seqeuncing based approaches have been employed to characterize the gene expression of the hCMEC/D3 model. However,The goal of this study is to perform deep transcriptomic sequencing of the BBB cell line and obtain features like gene expression, expressed single nucleotide variants, alternate splice forms, circular RNAs, long non-coding RNAs and micro RNAs. We have developed blood brain barriers transcriptomics landscape using RNA and micro RNA sequencing data obtained from replicates of hCMEC/D3 BBB cell line.
2016-03-17 | E-GEOD-76530 | biostudies-arrayexpress
Project description:SAH pathophysiology includes blood-brain barrier (BBB) disruption. Gene expression changes at the endothelial cell level may provide insight into BBB pathophysiology. We used microarray gene expression data comparing freshly isolated brain endothelial cells isolated from Sham or SAH mice.
2021-04-12 | GSE155137 | GEO
Project description:The highly negatively charged endothelial surface glycocalyx (ESG) functions as mechano-sensor detecting shear forces generated by the blood flow on the luminal side of brain endothelial cells (ECs) and contributes to the physical barrier of the blood-brain barrier (BBB). Despite the importance of ESG in the regulation of BBB permeability in physiological conditions and in diseases, this is an underresearched area. Microfluidic lab-on-a-chip (LOC) devices allow the study of BBB properties in dynamic conditions. We studied a BBB model, human endothelial cells derived from hematopoetic stem cells in co-culture with brain pericytes, in an LOC device to understand the role of fluid flow in the regulation of ESG-related genes and surface charge. The MACE gene sequencing study showed differentially expressed core protein genes of the ESG after fluid flow, as well as enriched pathways for the extracellular matrix molecules. We observed increased barrier properties, a higher intensity glycocalyx staining and a more negative surface charge of human brain ECs in dynamic conditions. Our study is the first to provide data on ESG of human ECs in an LOC device under dynamic conditions and confirm the importance of fluid flow for BBB culture models.
2021-09-01 | GSE155671 | GEO