E-MTAB-7647
Ontology highlight
ABSTRACT:
PROVIDER: E-MTAB-7647 | ExpressionAtlas | 2025-01-23
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-MTAB-7647-analysis-methods.tsv | Tabular | |||
| E-MTAB-7647-analytics.tsv | Tabular | |||
| E-MTAB-7647-atlasExperimentSummary.Rdata | Rdata | |||
| E-MTAB-7647-configuration.xml | Xml | |||
| E-MTAB-7647-g1_g2-mvaPlot.png | Other |
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Project description:RNA-seq of human cardiovascular endothelial cell line HUVEC, treated with different media
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Project description:Human umbilical vein endothelial cells (HUVEC) or the human macrophage cell line, Mono-Mac-6, treated with Leukotriene D4 for 1 hour Keywords = Leukotriene-Transcriptome Keywords = Mono-Mac-6 Keywords = HUVEC Keywords: other
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Project description:To investigate sex differences in endothelial cell response to AngII, male and female human umbilical vein endothelial cells (HUVEC) were treated with AngII for 24 hours. RNA seq was run, and demonstrated that female HUVEC had elevated genes associated with oxidative stress and inflammatory responses compared to male HUVEC following AngII treatment.
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Project description:Glioblastoma multiforme (GBM) is an aggressive, heterogeneous and highly vascularized brain tumor. GBM is thought to arise from glioblastoma stem-like cells (GSCs) which are characterized as being either proneural or mesenchymal. The former isolates of GSCs are tight sphere forming and slow growing while mesenchymal GSCs are lose sphere forming, fast growing, highly invasive and when dominant yield poorer patient prognosis. GSCs are known to be plastic in nature and can therefore evolve from a proneural to a mesenchymal state. Here, we observed that factors secreted by endothelial cells (which make up the brain vasculature) alter several properties of GSCs resulting in the acquisition of a more mesenchymal and invasive phenotype coupled with changes at the level of secretory and cellular proteome. Thus, using mass spectrometry, quantitative proteomic analysis and GO term filters, we identified several mesenchymal traits in proneural GSCs exposed to endothelial cell secretome. Specifically, proneural cells treated with the conditioned media derived from human umbilical vein endothelial cells (HUVEC) upregulated the expression of mesenchymal proteins such as CD44 and VIM, while downregulating the expression of the proneural proteins such as NOTCH1, activated NOTCH intracellular domain (NICD), SOX2 and NESTIN, which were validated using flow cytometry (FACS) and western blots (WB). Using DAVID analysis tool, we detected the features of cellular proteome indicative of the activation of NFkB, Wnt and several other pathways in the proneural cells treated with HUVEC conditioned media. Using conditioned media fractionation through several centrifugation steps we identified the extracellular vesicles (EV) sedimented at 100,000 x g using ultracentrifugation, as the source of activity in endothelial conditioned media capable of triggering mesenchymal shift in proneural GSCs. EVs are heterogeneous membrane structures containing multiple bioactive macromolecules, which have the ability to carry multiple bioactive proteins, transfer them to recipient cells and alter their function, signalling and biological programmes. We compared the effects of EVs, soluble fraction and unfractionated conditioned media in terms of their ability to trigger mesenchymal changes in the phenotype of proneural GSCs. Once the cultures were established, the culture medium was removed and replaced with HUVEC-derived material (conditioned media, supernatant or EV fraction) and responses evaluated over 7 days by microscopical analysis of sphere structures, and biochemically by following the aforementioned proneural or mesenchymal markers (WB, FACS). We observed an upregulation of mesenchymal proteins, as well as downregulation of the proneural proteins, mentioned above. These effects recapitulated those of unfractionated conditioned media and were absent from target cells exposed to EV-depleted conditioned media. The data analysis of EV proteome included canonical markers and pathways of cellular vesiculation as well as markers and pathways of interest with regards to the biological effects associated with treatment of GSC recipient cells. In this regard we observed several EV related tetraspanin markers, which were validated using western blot including CD9, CD63, CD81 and a purity control, BIP. Although we identified several potential effectors associated with endothelial cell EVs that could impact proneural cell phenotype, we focused on MMPs for at least three reasons: (i) evidence in the literature (see text) indicated that MMPs may induce differentiation programs in neural stem cells; (ii) MMPs in EV cargo were relatively abundant and have been implicated in various biological processes; (iii) MMPs released from endothelial cells could be functionally involved in disrupting proneural cell sphere structures that we observed in the presence of endothelial cell secretome. We noted the expressions of MMP1, MMP2, MMP11 and MP14 in our HUVEC-EV mass spectrometry dataset, the activity of which was validated using the MMP activity assay kit from abcam (ab112146). Using GO terms we also detected a signal for NFkB pathway activation in the proteome of endothelial (HUVEC) conditioned media-treated proneural GSCs. NFkB activation is regarded as hallmark of mesenchymal phenotype in GSCs and GBM cells. We validated that the upregulation of NFkB, was also true for the proneural cells treated with HUVEC derived EVs. Moreover, upon blocking MMP expression in proneural cells treated with endothelial cell EVs, we inhibited the activation of NFkB activity thereby documenting that the initial effects of MMPs trigger a shift in cellular phenotype toward NfkB activation and mesenchymal reprogramming. Briefly, we compared GO terms of GSC157 cells treated with their own or HUVEC-derived EVs. Validation of the NFkB pathway activation was analysed using WB and immunofluorescence for levels of NFkB and phosphor-NFkB.
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Project description:Human umbilical vein endothelial cells (HUVEC) or the human macrophage cell line, Mono-Mac-6, treated with Leukotriene D4 for 1 hour
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Project description:We describe here the generation and characterization of immortalized HCPEnC (iHCPEnC) by ectopic expression of hTERT in primary cells using a lentiviral vector system without additional support by a viral oncogene. RNA sequencing (RNA-seq) analysis revealed that iHCPEnC retained an RNA expression profile very similar to the primary HCPEnC and different from that of other endothelial cell types as Human Brain Microvascular Endothelial Cells (HBMEC) and Human Umbilical Vein Endothelial Cells (HUVEC).
2022-11-08 | GSE198846 | GEO
Project description:RNA sequencing (RNA-SEQ) of Human endothelial cells (HUVEC) in LFS, sFRP2OE, and WT conditioned media
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Project description:Purpose: To understand molecular and cellular effects of secreted sFRP2 to endothelial cells Methods: We performed RNA sequencing of 9 samples from HUVEC cultured in WT, sFRP2OE, LFS conditioned media for 16 hours Conclusion: apoptosis and angiogenetic molecular factors are activated in HUVEC by secreted sFRP2
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Project description:Kilian2024 - Immune cell dynamics in Cue-Induced Extended Human Colitis Model
Single-cell technologies such as scRNA-seq and flow cytometry provide critical insights into immune cell behavior in inflammatory bowel disease (IBD). However, integrating these datasets into computational models for dynamic analysis remains challenging. Here, Kilian et al., (2024) developed a deterministic ODE-based model that incorporates these technologies to study immune cell population changes in murine colitis. The model parameters were optimized to fit experimental data, ensuring an accurate representation of immune cell behavior over time. It was then validated by comparing simulations with experimental data using Pearson’s correlation and further tested on independent datasets to confirm its robustness. Additionally, the model was applied to clinical bulk RNA-seq data from human IBD patients, providing valuable insights into immune system dynamics and potential therapeutic strategies.
Figure 4c, obtained from the simulation of human colitis model is highlighted here.
This model is described in the article:
Kilian, C., Ulrich, H., Zouboulis, V.A. et al. Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease. npj Syst Biol Appl 10, 69 (2024). https://doi.org/10.1038/s41540-024-00395-9
Abstract:
Single-cell-based methods such as flow cytometry or single-cell mRNA sequencing (scRNA-seq) allow deep molecular and cellular profiling of immunological processes. Despite their high throughput, however, these measurements represent only a snapshot in time. Here, we explore how longitudinal single-cell-based datasets can be used for deterministic ordinary differential equation (ODE)-based modelling to mechanistically describe immune dynamics. We derived longitudinal changes in cell numbers of colonic cell types during inflammatory bowel disease (IBD) from flow cytometry and scRNA-seq data of murine colitis using ODE-based models. Our mathematical model generalised well across different protocols and experimental techniques, and we hypothesised that the estimated model parameters reflect biological processes. We validated this prediction of cellular turnover rates with KI-67 staining and with gene expression information from the scRNA-seq data not used for model fitting. Finally, we tested the translational relevance of the mathematical model by deconvolution of longitudinal bulk mRNA-sequencing data from a cohort of human IBD patients treated with olamkicept. We found that neutrophil depletion may contribute to IBD patients entering remission. The predictive power of IBD deterministic modelling highlights its potential to advance our understanding of immune dynamics in health and disease.
This model was curated during the Hackathon hosted by BioMed X GmbH in 2024.
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