Modular Tissue-in-a-CUBE platform to model blood-brain barrier (BBB) and brain interaction
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1064584 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27544671.fastq.gz | Fastqsanger.gz | |||
| SRR27544672.fastq.gz | Fastqsanger.gz | |||
| SRR27544673.fastq.gz | Fastqsanger.gz | |||
| SRR27544674.fastq.gz | Fastqsanger.gz | |||
| SRR27544675.fastq.gz | Fastqsanger.gz |
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Project description:With the advent of increasingly sophisticated organoids, there is growing demand for technology to replicate the interactions between multiple tissues or organs. This is challenging to achieve, however, due to the varying culture conditions of the different cell types that make up each tissue. Current methods often require complicated microfluidic setups, but fragile tissue samples tend not to fare well with rough handling. Furthermore, the more complicated the human system to be replicated, the more difficult the model becomes to operate. Here, we present the development of a multi-tissue chip platform that takes advantage of the modularity and convenient handling ability of a CUBE device. We first developed a blood-brain barrier-in-a-CUBE by layering astrocytes, pericytes, and brain microvascular endothelial cells in the CUBE, and confirmed the expression and function of important tight junction and transporter proteins in the blood-brain barrier model. Then, we demonstrated the application of integrating Tissue-in-a-CUBE with a chip in simulating the in vitro testing of the permeability of a drug through the blood-brain barrier to the brain and its effect on treating the glioblastoma brain cancer model. We anticipate that this platform can be adapted for use with organoids to build complex human systems in vitro by the combination of multiple simple CUBE units.
2024-01-18 | GSE253222 | GEO
Project description:The blood brain barrier (BBB) protects the central nervous system from toxins and pathogens in the blood by regulating permeation of molecules through the barrier interface. In vitro BBB models described to date reproduce some aspects of BBB functionality, but also suffer from incomplete phenotypic expression of brain endothelial traits, difficulty in reproducibility and fabrication, or overall cost. To address these limitations, we describe a three-dimensional (3D) BBB model based on a hybrid paper/nanofiber scaffold. The cell culture platform utilizes lens paper as a framework to accommodate 3D culture of astrocytes. An electrospun nanofiber layer is coated onto one face of the paper to mimic the basement membrane and support growth of an organized two-dimensional layer of endothelial cells (ECs). Human induced pluripotent stem cell-derived ECs and astrocytes are co-cultured to develop a human BBB model. Morphological and spatial organization of model are validated with confocal microscopy. Measurements of transendothelial resistance and permeability demonstrate the BBB model develops a high-quality barrier and responds to hyperosmolar treatments. RNA-sequencing shows introduction of astrocytes both regulates EC tight junction proteins and improves endothelial phenotypes related to vasculogenesis. This model shows promise as a model platform for future in vitro studies of the BBB.
2021-11-01 | GSE181332 | GEO
Project description:The blood-brain barrier (BBB) protects the central nervous system (CNS) from external assaults by pathogenic or harmful substances. BBB impairment frequently occurs during infection, inflammatory, or other pathological conditions, which causes or exacerbates a wide range of CNS diseases. Using single cell transcriptomics, we show in this study that during systemic LPS challenges, brain endothelial cells undergo Gsdmd-mediated pyroptosis and impair the integrity of the BBB, leading to profound changes in the transcriptomic landscape of brain parenchymal populations. Analyses of the scRNA-seq dataset reveal that brain endothelial cells responded strongly to systemic LPS challenge. Further analyses of the transcriptional signatures revealed that the brain parenchymal populations displayed heterogeneous responses to BBB leakage accompanied by systemic inflammation.
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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:The blood-brain barrier (BBB) is an evolutionary conserved tissue interface that possesses potent chemical protection properties functioning to strictly modulate the central nervous system (CNS) microenvironment. These same properties, including tight cellular junctions and efflux transporters, also limit access of CNS-active pharmaceuticals. For this reason, understanding the molecular mechanisms that regulate BBB chemical protection is of great biomedical interest. The BBB of Drosophila consists of two surface glia layers that completely surround the brain. This tissue interface contains both “tight” cellular junctions (termed septate junctions) and drug efflux transporters; thus, the Drosophila BBB can potentially serve as a model for understanding complex regulation of BBB physiology. In this study, we show reciprocal compensatory responses following disruption of critical BBB genes: deletion of the septate junction regulator Moody causes increased drug efflux and up-regulation of the P-glycoprotein ortholog Mdr65; conversely, disruption of Mdr65 expression causes increased septate junction tightness and up-regulation of Moody. We reveal these homeostatic interactions with physiologic observations, gene expression data, and anatomical images of the BBB surface. Whole brain microarray data point to responses that are consistent with our physiologic observations and these responses are likely localized to the BBB. To our knowledge, this is the first observation of a reciprocal compensatory interaction at a tissue barrier. Furthermore, this study paves the way for future studies elucidating the direct pathways that link GPCR signaling and drug transporter regulation at the BBB. The main comparisons are between WT_new, C17 (Moody null), and PMdr65 (Mdr65 null). Since WT_new were processed on a different day than C17 and PMdr65, we also included another WT sample (WT_old) to control for genes that change depending on batch effects. Since the mutants are also in a different genetic background than WT, we also included a control that is in a similar background (UAS_control).
2013-12-31 | E-GEOD-46550 | biostudies-arrayexpress
Project description:Bacterial meningitis is a deadly disease most commonly caused by Streptococcus pneumoniae that leads to severe neurological sequelae including cerebral edema, seizures, stroke, and mortality when untreated. Meningitis is initiated by the transfer of S. pneumoniae from hematogenous source into the brain across the blood-brain barrier (BBB); the mechanisms however are still poorly understood. Current treatment strategies include adjuvant dexamethasone therapy for cerebral edema, the prime reason for neurological complications and mortality, which is followed up by antibiotics. The success of corticosteroids is however inconclusive, necessitating the development of new therapies for controlling cerebral edema. We have previously shown a general activation of hypoxia inducible factor (HIF-1α) in bacterial infections, we therefore hypothesized that HIF-1α, via induction of vascular endothelial growth factor (VEGF) is critically involved in the transmigration of pathogens across the BBB. In human and murine meningitis brain samples, HIF-1 activation was observed by immunohistochemistry. HIF-1α/VEGF expression and permeability was therefore analyzed in vitro in infected brain endothelial cells (ECs). Localization of S. pneumoniae in brain ECs from mouse/human sources was visualized in vitro and in vivo by confocal, super-resolution, and electron microscopy. S. pneumoniae infection in brain ECs resulted in upregulation of HIF-1α/VEGF by Western blotting and qRT-PCR that was associated with increased paracellular permeability, which was supported by bacterial localization at cell-cell junctions. RNA sequencing of brain microvessels from hematogenously infected mice with increased permeability and S. pneumoniae deposition in the brain showed upregulation of genes in HIF-1α/VEGF pathway. Inhibition of HIF-1α with echinomycin, siRNA in bEnd5 cells and by using primary brain ECs from HIF-1α KO mice revealed a reduced endothelial permeability and transmigration of S. pneumoniae. We thus demonstrate a critical role for HIF-1α/VEGF in transmigration of S. pneumoniae across the BBB and propose targeting this pathway to prevent BBB dysfunction in infections.
2022-09-13 | GSE122952 | GEO
Project description:With the advent of increasingly sophisticated organoids, there is growing demand for technology to replicate the interactions between multiple tissues or organs. This is challenging to achieve, however, due to the varying culture conditions of the different cell types that make up each tissue. Current methods often require complicated microfluidic setups, but fragile tissue samples tend not to fare well with rough handling. Furthermore, the more complicated the human system to be replicated, the more difficult the model becomes to operate. Here, we present the development of a multi-tissue chip platform that takes advantage of the modularity and convenient handling ability of a CUBE device. We first developed a blood-brain barrier-in-a-CUBE by layering astrocytes, pericytes, and brain microvascular endothelial cells in the CUBE, and confirmed the expression and function of important tight junction and transporter proteins in the blood-brain barrier model. Then, we demonstrated the application of integrating Tissue-in-a-CUBE with a chip in simulating the in vitro testing of the permeability of a drug through the blood-brain barrier to the brain and its effect on treating the glioblastoma brain cancer model. We anticipate that this platform can be adapted for use with organoids to build complex human systems in vitro by the combination of multiple simple CUBE units.
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Project description:This model predicts the Blood-Brain Barrier (BBB) penetration potential of small molecules using as training data the curated MoleculeNet benchmark containing 2000 experimental data points. It has been trained using the GROVER transformer.
Model Type: Predicitive machine learning model.
Model Relevance: Predicts Probability that a molecule crosses the blood brain barrier.
Model Encoded by: Amna Ali (Ersilia)
Metadata Submitted in BioModels by: Zainab Ashimiyu-Abdusalam
Implementation of this model code by Ersilia is available here:
https://github.com/ersilia-os/eos1amr
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Project description:Brain exposure of systemically administered biotherapeutics is highly restricted by the blood-brain barrier (BBB). Here, we report the engineering and characterization of a BBB transport vehicle targeting the CD98 heavy chain (CD98hc or SLC3A2) of heterodimeric amino acid transporters (TV^CD98hc). The pharmacokinetic and biodistribution properties of a CD98hc antibody transport vehicle (ATV^CD98hc) are assessed in humanized CD98hc knock-in mice and cynomolgus monkeys. Compared to most existing BBB platforms targeting the transferrin receptor, peripherally administered ATVCD98hc demonstrates differentiated brain delivery with markedly slower and more prolonged kinetic properties. Specific biodistribution profiles within the brain parenchyma can be modulated by introducing Fc mutations on ATV^CD98hc that impact FcgR engagement, changing the valency of CD98hc binding, and by altering the extent of target engagement with Fabs. Our study establishes TV^CD98hc as a modular brain delivery platform with favorable kinetic, biodistribution, and safety properties distinct from previously reported BBB platforms.
2023-07-31 | PXD044159 | Pride