In this paper, we demonstrate the application of electrical cell-substrate impedance sensing (ECIS) technology for measuring differences in the formation of a strong and durable endothelial barrier model. In addition, we highlight the capacity of ECIS technology to model the parameters of the physical barrier associated with (I) the paracellular space (referred to as Rb) and (II) the basal adhesion of the endothelial cells (α, alpha). Physiologically, both parameters are very important for the correct formation of endothelial barriers. ECIS technology is the only commercially available technology that can measure and model these parameters independently of each other, which is important in the context of ascertaining whether a change in overall barrier resistance (R) occurs because of molecular changes in the paracellular junctional molecules or changes in the basal adhesion molecules. Finally, we show that the temporal changes observed in the paracellular Rb can be associated with changes in specific junctional proteins (CD144, ZO-1, and catenins), which have major roles in governing the overall strength of the junctional communication between neighbouring endothelial cells.
BackgroundWe have previously shown that TNFα and IL-1β differentially regulate the inflammatory phenotype of human brain endothelial cells (hCMVECs). In this regard, IL-1β treatment was considerably more potent than TNFα at increasing expression of inflammatory chemokines and leukocyte adhesion molecules. We therefore hypothesised that interaction of the hCMVECs with human monocytes would also be dependent on the activation status of the endothelium. Therefore, the primary aim of this study was to assess whether brain endothelial cells activated by IL-1β or TNFα differed in their interaction with monocytes.MethodsMonocyte interaction was measured using the real time, label-free impedance based ECIS technology, to evaluate endothelial barrier integrity during monocyte attachment and transendothelial migration.ResultsECIS technology revealed that there was a greater loss of barrier integrity with IL-1β activation and this loss lasted for longer. This was expected and consistent with our hypothesis. However, more striking and concerning was the observation that the method of monocyte enrichment greatly influenced the extent of endothelial barrier compromise. Importantly, we observed that positively isolated monocytes (CD14+ve) caused greater reduction in barrier resistance, than the negatively selected monocytes (untouched). Analysis of the isolated monocyte populations revealed that the CD14+ve isolation consistently yields highly pure monocytes (>92%), whereas the untouched isolation was much more variable, yielding ~70% enrichment on average. These two enrichment methods were compared as it was thought that the presence of non-classical CD16hi monocytes in the untouched enrichment may mediate greater compromise than the classical CD14hi monocytes. This however, was not the case and these observations raise a number of important considerations pertaining to the enrichment strategy, which are essential for generating reliable and consistent data.ConclusionsWe conclude that IL-1β and TNFα differentially influence monocyte interaction with brain endothelial cells and moreover, the enrichment method also influences the monocyte response as revealed using ECIS technology.
Neuroinflammatory disorders such as Alzheimer's and Parkinson's diseases are characterised by chronic inflammation and loss of vascular integrity. Bradykinin 1 receptor (B1R) activation has been implicated in many neuroinflammatory diseases, but the contribution of B1R to inflammation and vascular breakdown is yet to be determined. As a result, the present study evaluated the effect of B1R stimulation using Des‐Arg‐9‐BK on the cytokine profile and junctional properties of human cerebral microvascular endothelial cells (hCMVECs). Results showed that stimulation of B1R receptors increased secretion of pro‐inflammatory cytokines, interleukin‐6 (IL‐6), IL‐8, intracellular adhesion molecule‐1 (ICAM‐1), vascular cell adhesion molecule‐1 (VCAM‐1) and monocyte chemoattractant protein‐1 (MCP‐1), but decreased the expression of vascular endothelial growth factor (VEGF), a cytokine and growth factor required for maintenance of the vasculature. B1R stimulation also resulted in the loss of occludin expression at tight junctions with no change in VE‐cadherin expression. There was also a significant increase in permeability to Evans blue albumin, suggesting an increase of vascular permeability. Taken together, these results suggest that B1R activation that occurs in neuroinflammatory diseases may contribute to both the inflammation and loss of blood‐brain barrier integrity that is characteristic of these diseases.
We have recently demonstrated that invasive melanoma cells are capable of disrupting the brain endothelial barrier integrity. This was shown using ECIS biosensor technology, which revealed rapid disruption via the paracellular junctions. In this paper, we demonstrate that melanoma cells secrete factors (e.g., cytokines) that weaken the endothelial barrier integrity. Through proteome profiling, we attempt to identify the barrier-disrupting cytokines. Melanoma conditioned media were collected from three New Zealand melanoma lines. ECIS technology was used to assess if the conditioned media disrupted the endothelial barrier independent of the melanoma cells. The melanoma cell secretome was assessed using cytometric bead array (CBA), Luminex immunoassay and multiplex Proteome Profilers, to detect the expression of secretory proteins, which may facilitate metastasis. Finally, ECIS technology was used to assess the direct effects of secreted proteins identified as candidates from the proteome screens. We show that melanoma-conditioned media significantly disrupted the brain endothelial barrier, however, to a much lesser extent than the cells from which they were collected. Cytokine and proteome profiling of the conditioned media showed evidence of high concentrations of approximately 15 secreted proteins (including osteopontin, IL-8, GDF-15, MIF and VEGF). These 15 secreted proteins were expressed variably across the melanoma lines. Surprisingly, the addition of these individually to the brain endothelial cells did not substantially affect the barrier integrity. ANGPTL-4 and TGFβ were also produced by the melanoma cells. Whilst TGFβ-1 had a pronounced effect on the barrier integrity, surprisingly ANGPTL-4 did not. However, its C-terminal fragment did and within a very similar period to the conditioned media, albeit not to the same extent. Herein we show that melanoma cells produce a wide-range of soluble factors at high concentrations, which most likely favour support or survival of the cancer cells. Most of these, except for TGFβ-1 and the C-terminal fragment of ANGPTL-4, did not have an impact on the integrity of the brain endothelial cells.
Glioblastoma is considered the most aggressive and lethal form of brain cancer. Glioblastoma tumours are complex, comprising a spectrum of oncogenically transformed cells displaying distinct phenotypes. These can be generated in culture and are called differentiated-glioblastoma cells and glioblastoma stem cells. These cells are phenotypically and functionally distinct, where the stem-like glioblastoma cells give rise to and perpetuate the tumour. Electric cell-substrate impedance sensing (ECIS) is a real-time, label-free, impedance-based method for the analysis of cellular behaviour, based on cellular adhesion. Therefore, we asked the question of whether ECIS was suitable for, and capable of measuring the adhesion of glioblastoma cells. The goal was to identify whether ECIS was capable of measuring glioblastoma cell adhesion, with a particular focus on the glioblastoma stem cells. We reveal that ECIS reliably measures adhesion of the differentiated glioblastoma cells on various array types. We also demonstrate the ability of ECIS to measure the migratory behaviour of differentiated glioblastoma cells onto ECIS electrodes post-ablation. Although the glioblastoma stem cells are adherent, ECIS is substantially less capable at reliably measuring their adhesion, compared with the differentiated counterparts. This means that ECIS has applicability for some glioblastoma cultures but much less utility for weakly adherent stem cell counterparts.
Glioblastoma is a highly aggressive brain malignancy commonly refractory to classical and novel chemo‐, radio‐ and immunotherapies, with median survival times of ~15 months following diagnosis. Poor immunological responses exemplified by the downregulation of T‐cell activity, and upregulation of immunosuppressive cells within the tumor microenvironment have limited the effectiveness of immunotherapy in glioblastoma to date. Here we show that glioblastoma cells express a large repertoire of inhibitory checkpoint ligands known to control effector T cell responses. Furthermore, flow cytometry analysis reveals that glioblastoma cells with an enhanced stem cell‐like phenotype express several investigated ligands at significant levels on their cell surface. This reveals that glioblastoma stem‐like cells express suppressive ligands with the potential of suppressing major T cell checkpoint receptors. With this information, it is now essential that we understand the relevance of this extensive repertoire of immune checkpoint ligands and their functional consequence on immune evasion in glioblastoma. This is necessary to develop effective immunotherapeutics and to be able to match treatment to patient, especially in the light of CheckMate 143.
Glioblastoma is refractory to therapy and presents a significant oncological challenge. Promising immunotherapies have not shown the promise observed in other aggressive cancers. The reasons for this include the highly immuno-suppressive tumour microenvironment controlled by the glioblastoma cells and heterogeneous phenotype of the glioblastoma cells. Here, we wanted to better understand which glioblastoma phenotypes produced the regulatory cytokines, particularly those that are implicated in shaping the immune microenvironment. In this study, we employed nanoString analysis of the glioblastoma transcriptome, and proteomic analysis (proteome profiler arrays and cytokine profiling) of secreted cytokines by different glioblastoma phenotypes. These phenotypes were cultured to reflect a spectrum of glioblastoma cells present in tumours, by culturing an enhanced stem-like phenotype of glioblastoma cells or a more differentiated phenotype following culture with serum. Extensive secretome profiling reveals that there is considerable heterogeneity in secretion patterns between serum-derived and glioblastoma stem-like cells, as well as between individuals. Generally, however, the serum-derived phenotypes appear to be the primary producers of cytokines associated with immune cell recruitment into the tumour microenvironment. Therefore, these glioblastoma cells have considerable importance in shaping the immune landscape in glioblastoma and represent a valuable therapeutic target that should not be ignored.
BACKGROUND Glioblastoma Multiforme (GBM) is classified as a WHO grade IV astrocytoma that continues to circumvent classical and novel chemo-, radio- and immuno-therapies. The recent FDA approvals for the use of targeted immunotherapies against inhibitory checkpoint ligands (for melanoma; ipilimumab and nivolumab) have brought the use of monoclonal antibody therapies to the forefront of GBM research. However, poor immunological responses, exemplified by down-regulation of anti-tumour T-cell activity, and up-regulation of immunosuppressive cells and secreted factors within the tumour micro-environment, have limited the effectiveness of immunotherapy in GBM to date. Therefore, understanding how GBM modulates an extensive repertoire of immune checkpoint ligands and the functional consequence on immune evasion is necessary to develop more targeted immuno-therapeutics. MATERIAL AND METHODS Patient derived glioblastoma cell lines were cultured using established serum-based or glioma cancer stem cell (gCSC) conditions. The phenotypes of resultant GBM cells and gCSC’s were characterised using flow cytometry and immunocytochemistry, to assess expression of neural lineage and stem cell-associated markers. Thereafter, cells were screened for the expression of an extensive range of inhibitory checkpoint ligands by flow cytometry. Finally, the secretion of immune modulating factors by GBM cells and gCSC’s were evaluated by using XL cytokine proteome arrays. Cytokines that appeared to be differentially expressed were subsequently measured using Cytometric Bead Arrays. RESULTS Adherent gCSC’s and gCSC derived glioma-spheres express nestin, CD44, A2B5 and vimentin, consistent with a stem cell phenotype. Furthermore, the gCSC’s exhibited reduced expression of the neural lineage markers NeuN and OSP. Flow cytometry analyses revealed that glioblastoma cells expressed all 11 checkpoint ligands investigated. Interestingly, gCSC’s showed higher levels of PD-L1, B7-H3, CD155 and HVEM expression than GBM cells. CONCLUSION Glioblastoma Multiforme is highly immuno-suppressive, which is reinforced by this study. Glioblastoma cells express all the inhibitory checkpoint ligands investigated and glioma cancer stem cell cultures up-regulate expression levels further. This implies that GBM cells are heavily equipped to inhibit infiltrating T-cells, exemplifying the need to find suitable therapeutics that target multiple immuno-suppressive mechanisms simultaneously.
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