Results 71 to 80 of about 273,560 (124)
Identification of inhibitors of the Salmonella FraB deglycase, a drug target
A high‐throughput screen was used to identify inhibitors of Salmonella FraB, a drug target. Characterization of top hits (identified after an additional counter screen) revealed that some triazolidines, thiadiazolidines, and triazolothiadiazoles are mixed‐type inhibitors of FraB.
Jamison D. Law+6 more
wiley +1 more source
By using an electrical pulse stimulation (EPS)‐based in vitro exercise model and chemical activation/inhibition of mechanosensitive Piezo1 channels, we explored changes in protein synthetic response in cultured C2C12 myotubes. Our data showed that application of Piezo1 activator (Yoda1) during EPS significantly enhances the rate of protein synthesis in
Natalia A. Vilchinskaya+3 more
wiley +1 more source
We introduce an immunohistochemistry method to measure autophagy flux, highlighting the active degradation and recycling of cellular waste. This cost‐effective approach uses tissue samples to track key markers like LC3 and SQSTM1, revealing how cells maintain health or respond to diseases such as cancer. It bridges the gap between research and clinical
Shahla Shojaei+6 more
wiley +1 more source
Advanced glycation end products promote the release of endothelial cell‐derived mitocytosis
Under diabetic conditions, AGEs induce mitochondrial damage in HUVECs, activating migrasome‐mediated mitocytosis. Migrasomes encapsulate damaged mitochondria and are released into the extracellular space, facilitating intercellular mitochondrial transfer.
Rong Liu+6 more
wiley +1 more source
Stem cell‐based embryo models (SCBEMs) are valuable to study early developmental milestones. Matrigel, a basement membrane matrix, is a critical substrate used in various SCBEM protocols, but its role in driving stem cell lineage commitment is not clearly defined.
Atoosa Amel+3 more
wiley +1 more source
Abstract Purpose To compare image quality and clinical utility of a T2‐weighted (T2W) 3‐dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).
Dan Nguyen+11 more
wiley +1 more source
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal+9 more
wiley +1 more source
Monte Carlo modeling of radiation dose from radiation therapy with superficial x‐rays
Abstract Introduction Superficial x‐rays (50–100 kVp) are used for treating non‐melanoma skin cancer and intraoperative radiation therapy (IORT). At these energies, the photoelectric effect significantly increases absorbed dose to bone compared to soft tissue.
Reham Barghash+3 more
wiley +1 more source
Abstract Purpose The aim of this study was to investigate the influence of the simultaneous multislice acceleration (SMS) technique as well as two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within the parametric maps of cervical cancer, which were computed by intravoxel incoherent motion (IVIM) and ...
Shuangquan Ai+6 more
wiley +1 more source
Methods for working with problem residents in medical physics residency education
Abstract Medical physics residency training programs may occasionally encounter residents requiring additional intervention beyond normal training efforts. In the literature, these residents are referred to as “problem” residents. While the physician literature on the subject is valuable, this paper specifically focuses on dealing with a problem ...
Christopher J. Watchman, Dandan Zheng
wiley +1 more source