Skaaningmccormack9286

Ferroptosis is a novel form of programmed cell death characterized by an iron-dependent increase in reactive oxygen species (ROS). However, the role of ROS in the regulation of ferroptosis remains elusive. In this study, for the first time, we demonstrate that sodium selenite (SS), a well-established redox-active selenium compound, is a novel inducer of ferroptosis in a variety of human cancer cells. CC-90011 order Potent ferroptosis inhibitors, such as ferrostatin-1 (Fer-1) and deferoxamine (DFO), rescue cells from SS-induced ferroptosis. Furthermore, SS down-regulates ferroptosis regulators; solute carrier family 7 member 11 (SLC7A11), glutathione (GSH), and glutathione peroxidase 4 (GPx4), while it up-regulates iron accumulation and lipid peroxidation (LPO). These SS-induced ferroptotic responses are achieved via ROS, in particular superoxide (O2-) generation. Antioxidants such as superoxide dismutase (SOD) and Tiron not only scavenged O2- production, but also markedly rescued SLC7A11 down-regulation, GSH depletion, GPx4 inactivation, iron accumulation, LPO, and ferroptosis. Moreover, iron chelator DFO significantly reduces the O2- production, indicating a positive feedback regulation between O2- production and iron accumulation. Taken together, we have identified SS as a novel ferroptosis inducing agent in various human cancer models.EpCAM is a transmembrane glycoprotein typically overexpressed in cancer of epithelial origin and mainly involved in the epithelial-to-mesenchymal transition (EMT) of tumor cells that spread and disseminate. Strategies for the targeting and capture of EpCAM-expressing tumor cells are showing promise in cancers prone to metastatize, both as diagnostic tools and potential therapies. Sarcomas are among the most aggressive tumors in children, with a common mesenchymal origin that comprises both soft tissue sarcomas (STS) and bone sarcomas. The aim of this study was to assess EpCAM expression in pediatric sarcomas and correlate its expression with disease progression. To do so, we analyzed a set of cell lines and primary tumor tissues from rhabdomyosarcoma (RMS), Ewing sarcoma (ES), synovial sarcoma (SS) and desmoplastic small round cell tumor (DSRCT) STS, or osteosarcoma (OS) bone cancer. We demonstrated that EpCAM was variably expressed in pediatric sarcomas, with DSRCT, a rare, aggressive and almost fatal tumor type, characterized by the highest EpCAM expression levels. Interestingly, although EpCAM expression was lower in RMS tumors, high levels at diagnosis correlated with reduced patients' overall survival (p  less then  0.05). Indeed, membrane-bound EpCAM was detected in circulating sarcoma tumor cells, revealing its potential to be used as dissemination biomarker in this type of childhood cancers. This reinforces the concept that pediatric sarcomas do express both epithelial and mesenchymal markers and reside in an intermediate condition that most likely contributes to their aggressive phenotype and low survival rate.Conventional computer-aided detection systems (CADs) for colonoscopic images utilize shape, texture, or temporal information to detect polyps, so they have limited sensitivity and specificity. This study proposes a method to extract possible polyp features automatically using convolutional neural networks (CNNs). The objective of this work aims at building up a light-weight dual encoder-decoder model structure for polyp detection in colonoscopy Images. This proposed model, though with a relatively shallow structure, is expected to have the capability of a similar performance to the methods with much deeper structures. The proposed CAD model consists of two sequential encoder-decoder networks that consist of several CNN layers and full connection layers. The front end of the model is a hetero-associator (also known as hetero-encoder) that uses backpropagation learning to generate a set of reliably corrupted labeled images with a certain degree of similarity to a ground truth image, which eliminates the need foero-encoder.Considering the finite resources of nonrenewable fossil fuels and urgent demands of modern society, sodium ion batteries (SIBs) featuring low cost, considerable natural supply and environmental friendless, show huge prospects in energy storage field, especially in constructing massive energy storage networks. Here, we propose a facile polyacrylonitrile@metal organic frameworks composite-derived sulfuration method, for acquiring heteroatoms doped carbon@encapsulated CoS2 nanoparticles (NSPCFS@CoS2) as SIBs anode. This electrode shows long and steady cycling process at 1 A g-1. After running 2095 cycles, it maintains a capacity of 546.3 mA h g-1. An exceedingly low capacity fading ratio of 0.013% per cycle can be acquired. Also, it gives high discharge capacities of 540.7 and 493.6 mA h g-1, even at 4 and 8 A g-1, separately. In addition, NSPCFS@CoS2 possesses a comparative or even better rate capability than other CoS2 based materials and other types of metal sulfides. Overall, this electrode exhibits superior cycling and rate performances. Additionally, its Na+ reaction kinetics and storage mechanism are deeply investigated.As an effective strategy to alleviate the global water shortage, the Janus membrane has been widely developed to harvest the fog droplets because of its advantages of timely drainage and directional droplet delivery. However, Janus membrane is extremely susceptible to the direction of the fog stream, which changes dynamically in nature. In this work, we develop a three-layer sandwiched fog collector consisting of a hydrophilic inner mesh and two superhydrophobic outer meshes, which always serves as a Janus collector to enable a stable and efficient fog collection independent of the direction of the mist stream. We also demonstrate the superiority of such sandwiched fog collector in terms of the droplet shedding size and onset time, as well as the directional droplet delivery. The droplet coalescence effectively facilitates the shedding of the attached droplets on the outer superhydrophobic mesh, and the directional delivery of the clogged droplets from the superhydrophobic to hydrophilic layer further dries the mesh surface for the successive interception of fog droplets.