33 research outputs found
KDM1A microenvironment, its oncogenic potential, and therapeutic significance
The lysine-specific histone demethylase 1A (KDM1A) was the first demethylase to challenge the concept of the irreversible nature of methylation marks. KDM1A, containing a flavin adenine dinucleotide (FAD)-dependent amine oxidase domain, demethylates histone 3 lysine 4 and histone 3 lysine 9 (H3K4me1/2 and H3K9me1/2). It has emerged as an epigenetic developmental regulator and was shown to be involved in carcinogenesis. The functional diversity of KDM1A originates from its complex structure and interactions with transcription factors, promoters, enhancers, oncoproteins, and tumor-associated genes (tumor suppressors and activators). In this review, we discuss the microenvironment of KDM1A in cancer progression that enables this protein to activate or repress target gene expression, thus making it an important epigenetic modifier that regulates the growth and differentiation potential of cells. A detailed analysis of the mechanisms underlying the interactions between KDM1A and the associated complexes will help to improve our understanding of epigenetic regulation, which may enable the discovery of more effective anticancer drugs
Autonomous Vehicular Corridor using Artificial Intelligence
This project considers the operational impact of Autonomous Vehicles by creating a corridor using the latest network available. The behaviour of these vehicles entering the corridor is monitored at the macroscopic level by modifying the data which can be extracted from the vehicle. This data is made to learn using machine learning called the Time Series Neural Network and the data is used as a parameter to make the vehicles Autonomous. The project resolves the location, develops and demonstrates the collision avoidance of the vehicles using Artificial Intelligence. Autonomous means the vehicles will be able to learn to act accordingly without human intervention</jats:p
Could FAP-Targeted Molecular Imaging Replace<sup>18</sup>F-FDG for Standard-of-Care Oncologic PET?
Fused empirical mode decomposition with spectral flatness and adaptive filtering technique for denoising of ECG signals
Interhospital Transport of Critically Ill Children to PICUs in the United Kingdom and Republic of Ireland
Omics Data Mining for multiPTMs in Oral Cancer: Cellular Proteome and Secretome of Chronic Tobacco-Treated Oral Keratinocytes
Effect of SiC nanoparticles concentration on novel feedstock Moringa Oleifera chemically treated with neopentylglycol and their tribological behavior
The increase in energy demand and deterioration of the petroleum products encouraged industrialists to search for environmentally friendly products. In this study, an attempt has been made to explore the potential of Moringa Oleifera oil for bio-based lubricant application. The Moringa Oleifera oil was modified through the chemical process with Neopentylglycol treatment. After chemical modification, the nanoparticles were added to the oil in different proportions. The physicochemical properties of the lubricants were tested according to the ASTM standards. The tribological application was examined using a pin on disc tribometer. For the examination of the worn surfaces, a scanning electron microscope was used. An improvement in the physicochemical properties of the lubricant was observed at 0.5% concentration. Increment in viscosity increment, relative viscosity becomes more at 1.0% nanoparticles concentration and 100 °C temperature. The proper dispersion at 0.5% nanoparticles addition was obtained and confirmed through the test. The reduction in the friction coefficient and wear of the parts was observed with chemically modified oil and optimum concentration of the 0.5% nanoparticles was found. The 1.0% concentration of nanoparticles showed higher wear of the parts due to their agglomeration on the surface. The worn surfaces during 0.5% nanoparticles addition to the lubricant also display minimum wear
