Mitochondrial complex III bypass complex I to induce ROS in GPR17 signaling activation in GBM

Guanine nucleotide binding protein (G protein) coupled receptor 17 (GPR17) plays crucial role in Glioblastoma multiforme (GBM) cell signaling and is primarily associated with reactive oxidative species (ROS) production and cell death. However, the underlying mechanisms by which GPR17 regulates ROS level and mitochondrial electron transport chain (ETC) complexes are still unknown. Here, we investigate the novel link between the GPR17 receptor and ETC complex I and III in regulating level of intracellular ROS (ROSi) in GBM using pharmacological inhibitors and gene expression profiling. Incubation of 1321N1 GBM cells with ETC I inhibitor and GPR17 agonist decreased the ROS level, while treatment with GPR17 antagonist increased the ROS level. Also, inhibition of ETC III and activation of GPR17 increased the ROS level whereas opposite function was observed with antagonist interaction. The similar functional role was also observed in multiple GBM cells, LN229 and SNB19, where ROS level increased in the presence of Complex III inhibitor. The level of ROS varies in Complex I inhibitor and GPR17 antagonist treatment conditions suggesting that ETC I function differs depending on the GBM cell line. RNAseq analysis revealed that ~ 500 genes were commonly expressed in both SNB19 and LN229, in which 25 genes are involved in ROS pathway. Furthermore, 33 dysregulated genes were observed to be involved in mitochondria function and 36 genes of complex I-V involved in ROS pathway. Further analysis revealed that induction of GPR17 leads to loss of function of NADH dehydrogenase genes involved in ETC I, while cytochrome b and Ubiquinol Cytochrome c Reductase family genes in ETC III. Overall, our findings suggest that mitochondrial ETC III bypass ETC I to increase ROSi in GPR17 signaling activation in GBM and could provide new opportunities for developing targeted therapy for GBM

Anticancer activity of THMPP: Downregulation of PI3K/ S6K1 in breast cancer cell line.

Breast cancer is the most common cancer that majorly affects female. The present study is focused on exploring the potential anticancer activity of 2-((1, 2, 3, 4-Tetrahydroquinolin-1-yl) (4 methoxyphenyl) methyl) phenol (THMPP), against human breast cancer. The mechanism of action, activation of specific signaling pathways, structural activity relationship and drug-likeness properties of THMPP remains elusive. Cell proliferation and viability assay, caspase enzyme activity, DNA fragmentation and FITC/Annexin V, AO/EtBr staining, RT-PCR, QSAR and ADME analysis were executed to understand the mode of action of the drug. The effect of THMPP on multiple breast cancer cell lines (MCF-7 and SkBr3), and non-tumorigenic cell line (H9C2) was assessed by MTT assay. THMPP at I

Degradation of telmisartan (TELMA-H) compounds in aqueous solution using non-thermal atmospheric pressure plasma jet

In this study we investigate the degradation of telmisartan (Telma-H) in simulated aqueous solution using non-thermal atmospheric pressure plasma jet (APPJ). Aqueous solution containing Telma-H was treated with APPJ as a function of applied potential and reaction time. The degradation of Telma-H was investigated by means of UV-Visible spectroscopy. Optical emission spectra (OES) of the plasma jet was used to identify the reactive species that contributed to degrade Telma H compounds. The variation of pH and conductivity of the plasma treated Telma H aqueous solution was also measured

Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma.

Glioblastoma (GBM) is the most common malignant brain tumor and its malignant phenotypic characteristics are classified as grade IV tumors. Molecular interactions, such as protein-protein, protein-ncRNA, and protein-peptide interactions are crucial to transfer the signaling communications in cellular signaling pathways. Evidences suggest that signaling pathways of stem cells are also activated, which helps the propagation of GBM. Hence, it is important to identify a common signaling pathway that could be visible from multiple GBM gene expression data. microRNA signaling is considered important in GBM signaling, which needs further validation. We performed a high-throughput analysis using micro array expression profiles from 574 samples to explore the role of non-coding RNAs in the disease progression and unique signaling communication in GBM. A series of computational methods involving miRNA expression, gene ontology (GO) based gene enrichment, pathway mapping, and annotation from metabolic pathways databases, and network analysis were used for the analysis. Our study revealed the physiological roles of many known and novel miRNAs in cancer signaling, especially concerning signaling in cancer progression and proliferation. Overall, the results revealed a strong connection with stress induced senescence, significant miRNA targets for cell cycle arrest, and many common signaling pathways to GBM in the network

Vaccines, Repurposed Drugs and Alternative Biomedicines for the Management and Prevention of COVID-19

publishedVersionPeer reviewe

A deep learning-based concept for quantitative phase imaging upgrade of bright-field microscope

In this paper, we propose an approach that combines wavefront encoding and convolutional neuronal network (CNN)-based decoding for quantitative phase imaging (QPI). Encoding is realized by defocusing, and decoding by CNN trained on simulated datasets. We have demonstrated that based on the proposed approach of creating the dataset, it is possible to overcome the typical pitfall of CNN learning, such as the shortage of reliable data. In the proposed data flow, CNN training is performed on simulated data, while CNN application is performed on real data. Our approach is benchmarked in real-life experiments with a digital holography approach. Our approach is purely software-based: the QPI upgrade of a bright-field microscope does not require extra optical components such as reference beams or spatial light modulators.Peer reviewe

CNN-assisted quantitative phase microscopy for biological cell imaging

Phase imaging is a solution for the reconstruction of phase information from intensity observations. To make phase imaging possible, sophisticated extra systems are embedded into the existing imaging systems. Contrary, we propose a phase problem solution by DCNN-based framework, which is simple in terms of an optical system. We propose to replace optical lenses with computational algorithms such as CNN phase reconstruction and wavefront propagation. The framework is tested in simulation and real-life experimental phase imaging. To have real experiments with objects close to real-life biological cells, we simulated experimental training datasets on a phase-only spatial light modulator, where phase objects are modeled with corresponding phase distribution to biological cells.Peer reviewe

A dual fluorescence protein expression system detects cell cycle dependent protein noise

Inherently identical cells exhibit significant phenotypic variation. It can be essential for many biological processes and is known to arise from stochastic, ‘noisy’, gene expression that is determined by intrinsic and extrinsic components. It is now obvious that the noise varies as a function of inducer concentration. However, its fluctuation over the cell cycle is limited. Applying dual colour fluorescence protein reporter system, Cyan Fluorescent Protein (CFP) and Yellow fluorescent protein (YFP) tagged multi-copy plasmids, we determine variation of the noise components over the phases in lac promoter induced by Isopropyl β-D-1-thiogalactopyranoside (IPTG) and in presence of additional Magnesium, Mg2+ ion. We, also, estimate the how such system deviates from observations of single-copy plasmid. Found 25 % difference between multi-copy system and single-copy system clarifies that observed noise is considerable and estimates population behaviour during the cell cycle. We show that total variation in cells induced with IPTG is determined by higher extrinsic than intrinsic noise. It increases from Lag to Exponential phase and decreases from Retardation to Stationary phase. By observing slow and fast dividing cells, we show that 5 mM Mg2+ increases population homogeneity compared to 2.5 mM Mg2+ in the environment. The experimental data obtained using dual colour fluorescence protein reporter system demonstrates that protein expression noise, depending on intra cellular ionic concentration, is tightly controlled by phase of the cell.Peer reviewe

Design, synthesis and anticancer evaluation of novel arylhydrazones of active methylene compounds

Nerve growth factor (NGF) and its receptor, tropomyosin kinase receptor kinase type A (TrkA) is emerging as an important target for Glioblastoma (GBM) treatment. TrkA is the cancer biomarker majorly involved in tumor invasion and migration into nearby normal tissue. However, currently, available Trk inhibitors exhibit many adverse effects in cancer patients, thus demanding a novel class of ligands to regulate Trk signaling. Here, we exploited the role of TrkA (NTRK1) expression from the 651 datasets of brain tumors. RNA sequence analysis identified overexpression of NTRK1 in GBM, recurrent GBM as well in Oligoastrocytoma patients. Also, TrkA expression tends to increase over the higher grades of GBM. TrkA protein targeting hydrazone derivatives, R48, R142, and R234, were designed and their mode of interaction was studied using molecular docking and dynamic simulation studies. Ligands' stability and binding assessment reveals R48, 2 2-(2-(2-hydroxy-4-nitrophenyl) hydrazineylidene)-1-phenylbutane-1,3-dione, as a potent ligand that interacts well with TrkA's hydrophobic residues, Ile, Phe, Leu, Ala, and Val. R48- TrkA exhibits stable binding potentials with an average RMSD value <0.8 nm. R48 obeyed Lipinski's rule of five and possessed the best oral bioavailability, suggesting R48 as a potential compound with drug-likeness properties. In-vitro analysis also revealed that R48 exhibited a higher cytotoxicity effect for U87 GBM cells than TMZ with the IC50 value of 68.99 μM. It showed the lowest percentage of cytotoxicity to the non-cancerous TrkA expressing MEF cells. However, further SiRNA analysis validates the non-specific binding of R48, necessitating structural alteration for the development of R48-based TrkA inhibitor for GBM therapeutics.Peer reviewe

In vivo kinetics of transcription initiation of the lar promoter in Escherichia coli. Evidence for a sequential mechanism with two rate-limiting steps

<p>Abstract</p> <p>Background</p> <p>In <it>Escherichia coli </it>the mean and cell-to-cell diversity in RNA numbers of different genes vary widely. This is likely due to different kinetics of transcription initiation, a complex process with multiple rate-limiting steps that affect RNA production.</p> <p>Results</p> <p>We measured the <it>in vivo </it>kinetics of production of individual RNA molecules under the control of the lar promoter in <it>E. coli</it>. From the analysis of the distributions of intervals between transcription events in the regimes of weak and medium induction, we find that the process of transcription initiation of this promoter involves a sequential mechanism with two main rate-limiting steps, each lasting hundreds of seconds. Both steps become faster with increasing induction by IPTG and Arabinose.</p> <p>Conclusions</p> <p>The two rate-limiting steps in initiation are found to be important regulators of the dynamics of RNA production under the control of the lar promoter in the regimes of weak and medium induction. Variability in the intervals between consecutive RNA productions is much lower than if there was only one rate-limiting step with a duration following an exponential distribution. The methodology proposed here to analyze the <it>in vivo </it>dynamics of transcription may be applicable at a genome-wide scale and provide valuable insight into the dynamics of prokaryotic genetic networks.</p