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Migrasome formation is initiated preferentially in tubular junctions by membrane tension.
Biophys J
January 2025
Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv, Israel. Electronic address:
Migrasomes, the vesicle-like membrane micro-structures, arise on the retraction fibers (RFs), the branched nano-tubules pulled out of cell plasma membranes during cell migration and shaped by membrane tension. Migrasomes form in two steps: a local RF bulging is followed by a protein-dependent stabilization of the emerging spherical bulge. Here we addressed theoretically and experimentally the previously unexplored mechanism of bulging of membrane tubular systems.
View Article and Find Full Text PDFEnd-to-End Crystal Structure Prediction from Powder X-Ray Diffraction.
Adv Sci (Weinh)
January 2025
DP Technology, Beijing, 100080, China.
Powder X-ray diffraction (PXRD) is a prevalent technique in materials characterization. While the analysis of PXRD often requires extensive human manual intervention, and most automated method only achieved at coarse-grained level. The more difficult and important task of fine-grained crystal structure prediction from PXRD remains unaddressed.
View Article and Find Full Text PDFMiR-128-3p promotes hyperproliferation of keratinocytes and psoriasis-like inflammation by targeting SIRT1/HIF-1α.
Arch Dermatol Res
January 2025
Department of Dermatology, Zhejiang Provincial Hospital of Dermatology, Huzhou, 313200, China.
Psoriasis is a long-lasting inflammatory skin condition characterized by excessive keratinocyte growth. Recent studies have confirmed abnormal regulation of microRNAs (miRNAs/miRs) in individuals with psoriasis. This study aimed to investigate the function and specific mechanism of action of miR-128a-3p in interleukin-22 (IL-22)-stimulated HaCaT cells.
View Article and Find Full Text PDFMachine learning assisted classification RASAR modeling for the nephrotoxicity potential of a curated set of orally active drugs.
Sci Rep
January 2025
Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700 032, India.
We have adopted the classification Read-Across Structure-Activity Relationship (c-RASAR) approach in the present study for machine-learning (ML)-based model development from a recently reported curated dataset of nephrotoxicity potential of orally active drugs. We initially developed ML models using nine different algorithms separately on topological descriptors (referred to as simply "descriptors" in the subsequent sections of the manuscript) and MACCS fingerprints (referred to as "fingerprints" in the subsequent sections of the manuscript), thus generating 18 different ML QSAR models. Using the chemical spaces defined by the modeling descriptors and fingerprints, the similarity and error-based RASAR descriptors were computed, and the most discriminating RASAR descriptors were used to develop another set of 18 different ML c-RASAR models.
View Article and Find Full Text PDFClimate change impact on water treatment plants: analysis of chlorophyll-a levels and process performance.
Environ Sci Pollut Res Int
January 2025
Department of Environmental Health Engineering, School of Public Health, Mazandaran University of Medical Sciences, Sari, Iran.
Climate change significantly impacts the risk of eutrophication and, consequently, chlorophyll-a (Chl-a) concentrations. Understanding the impact of water flows is a crucial first step in developing insights into future patterns of change and associated risks. In this study, the Statistical DownScaling Model (SDSM)-a widely used daily downscaling method-is implemented to produce downscaled local climate variables, which serve as input for simulating future hydro-climate conditions using a hydrological model.
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