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1.
Int J Mol Sci ; 22(17)2021 Aug 26.
Article in English | MEDLINE | ID: mdl-34502140

ABSTRACT

Augmented Toll-like receptor 4 (TLR4) expression was found in nearly 70% of patients with pancreatic adenocarcinoma, which is correlated with increased tumorigenesis and progression. In this study, we engineered a new light-oxygen-voltage-sensing (LOV) domain-based optogenetic cell line (opto-TLR4 PANC-1) that enables time-resolved activation of the NF-κB and extracellular-signal regulated kinases (ERK)1/2 signalling pathway upon blue light-sensitive homodimerisation of the TLR4-LOV fusion protein. Continuous stimulation with light indicated strong p65 and ERK1/2 phosphorylation even after 24 h, whereas brief light exposure peaked at 8 h and reached the ground level 24 h post-illumination. The cell line further allows a voltage-dependent TLR4 activation, which can be continuously monitored, turned on by light or off in the dark. Using this cell line, we performed different phenotypic cell-based assays with 2D and 3D cultures, with the aim of controlling cellular activity with spatial and temporal precision. Light exposure enhanced cell attachment, the formation and extension of invadopodia, and cell migration in 3D spheroid cultures, but no significant changes in proliferation or viability could be detected. We conclude that the opto-TLR4 PANC-1 cell line is an ideal tool for investigating the underlying molecular mechanisms of TLR4, thereby providing strategies for new therapeutic options.


Subject(s)
Genes, Reporter , Light , NF-kappa B/metabolism , Optogenetics/methods , Toll-Like Receptor 4/metabolism , Cell Adhesion , Cell Movement , HEK293 Cells , HeLa Cells , Humans , Mitogen-Activated Protein Kinase 1/metabolism , Mitogen-Activated Protein Kinase 3/metabolism , Oxygen/metabolism , Pancreas/cytology , Podosomes/metabolism , Signal Transduction , Toll-Like Receptor 4/genetics
2.
Molecules ; 26(3)2021 Jan 30.
Article in English | MEDLINE | ID: mdl-33573155

ABSTRACT

Quercetin, a dietary flavonoid found in fruits and vegetables, has been described as a substance with many anti-cancer properties in a variety of preclinical investigations. In the present study, we demonstrate that 2D and 3D melanoma models exhibit not only different sensitivities to quercetin, but also opposite, cancer-promoting effects when metastatic melanoma spheroids are treated with quercetin. Higher concentrations of quercetin reduce melanoma growth in three tested cell lines, whereas low concentrations induce the opposite effect in metastatic melanoma spheroids but not in the non-metastatic cell line. High (>12.5 µM) or low (<6.3 µM) quercetin concentrations decrease or enhance cell viability, spheroid size, and cell proliferation, respectively. Additionally, melanoma cells cultivated in 2D already show significant caspase 3 activity at very low concentrations (>0.4 µM), whereas in 3D spheroids apoptotic cells, caspase 3 activity can only be detected in concentrations ≥12.5 µM. Further, we show that the tumor promoting or repressing effect in the 3D metastatic melanoma spheroids are likely to be elicited by a precisely controlled regulation of Nrf2/ARE-mediated cytoprotective genes, as well as ERK and NF-κB phosphorylation. According to the results obtained here, further studies are needed to better characterize the mechanisms of action underlying the pro- and anti-carcinogenic effects of quercetin on human melanomas.


Subject(s)
Antineoplastic Agents/pharmacology , Cell Proliferation/drug effects , Melanoma/drug therapy , Quercetin/pharmacology , Antineoplastic Agents/chemistry , Carboxylic Ester Hydrolases/genetics , Cell Line, Tumor , Cell Survival/drug effects , Gene Expression Regulation, Neoplastic/drug effects , Humans , MAP Kinase Signaling System/drug effects , Melanoma/genetics , Melanoma/pathology , NF-E2-Related Factor 2/genetics , NF-kappa B/genetics , Phosphorylation/drug effects , Quercetin/chemistry , Spheroids, Cellular/drug effects
3.
Pflugers Arch ; 472(7): 845-863, 2020 07.
Article in English | MEDLINE | ID: mdl-32607809

ABSTRACT

α2δ proteins are membrane-anchored extracellular glycoproteins which are abundantly expressed in the brain and the peripheral nervous system. They serve as regulatory subunits of voltage-gated calcium channels and, particularly in nerve cells, regulate presynaptic and postsynaptic functions independently from their role as channel subunits. α2δ proteins are the targets of the widely prescribed anti-epileptic and anti-allodynic drugs gabapentin and pregabalin, particularly for the treatment of neuropathic pain conditions. Recently, the human genes (CACNA2D1-4) encoding for the four known α2δ proteins (isoforms α2δ-1 to α2δ-4) have been linked to a large variety of neurological and neuropsychiatric disorders including epilepsy, autism spectrum disorders, bipolar disorders, schizophrenia, and depressive disorders. Here, we provide an overview of the hitherto identified disease associations of all known α2δ genes, hypothesize on the pathophysiological mechanisms considering their known physiological roles, and discuss the most immanent future research questions. Elucidating their specific physiological and pathophysiological mechanisms may open the way for developing entirely novel therapeutic paradigms for treating brain disorders.


Subject(s)
Brain Diseases/genetics , Brain Diseases/pathology , Calcium Channels/genetics , Membrane Glycoproteins/genetics , Neurons/pathology , Animals , Epilepsy/genetics , Epilepsy/pathology , Humans , Protein Isoforms/genetics
4.
J Chem Inf Comput Sci ; 44(1): 200-9, 2004.
Article in English | MEDLINE | ID: mdl-14741029

ABSTRACT

In topological autocorrelation approaches molecular descriptors are calculated by summing up properties located at given topological distances. Since the relationship between topological and Euclidean distance contains 3D structural information, in the present paper a modified version of an autocorrelation approach is proposed to include this type of information. Steric, electronic, and indicator-variable-type descriptors are calculated and used in QSAR studies with three different data sets. The results demonstrate that the descriptors can be efficiently used in cluster- and QSAR analysis. The models obtained are highly predictive and comparable to those obtained by other commonly used 3D-QSAR methods.

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