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Constructing Alkali Metal–Organic Frameworks with High Porosity Utilizing a High-Connectivity Organic Linker
Deep learning-driven brain tumor classification and segmentation using non-contrast MRI
Amplifying Chirality-Induced Spin Selectivity in Helical Covalent Organic Frameworks through Fullerene Encapsulation
The Oryza australiensis genome reveals potential as a source of genes for rice improvement
Planar Defect Layers Template a High-Pressure InBi Polymorph
Optimizing space heating efficiency in sustainable building design a multi criteria decision making approach with model predictive control
Cascade Energy Transformation in Hybrid Nanosensitizer Enables Ultrasound-Activated Luminescence Imaging and Enhanced Sonodynamic Therapy
Investigation of structural elastic electronic optical and thermoelectric properties of LiInS₂ and LiInTe₂ for optoelectronic and energy conversion
Hexavalent Ru Catalyst with Both Lattice Oxygen and Metal Ion Mechanisms Coactive for Water Oxidation
Predictive modeling of oil rate for wells under gas lift using machine learning
NMR Assessment of the High Order Structure of Biological Therapeutics in Erythrocytes Provides a Tool for Drug Delivery Design
Targeting the proliferation of glioblastoma cells and enhancement of doxorubicin and temozolomide cytotoxicity through inhibition of PFKFB4 and HMOX1 genes with siRNAs
Abstract Glioblastoma multiforme continues to be one of the most aggressive brain cancers, posing a serious health challenge, as it offers a median survival of only 15–23 months and a 5-year survival rate of less than 6%. Current treatments often prove inadequate, underscoring the urgency for new therapeutic strategies. This study investigated the potential of silencing the PFKFB4 and HMOX1 genes in U87-MG glioblastoma cells using small interfering RNAs (siRNAs), both alone and alongside the chemotherapeutic agents temozolomide (TMZ) and doxorubicin (DOX). Through MTT assays, qPCR, and wound healing techniques, we assessed cell viability, gene expression, and cell migration. Notably, siPFKFB4 enhanced DOX’s cytotoxic effect, reducing its IC50 by six-fold, while having a milder impact with TMZ. When both siRNAs were combined with DOX, the IC50 decreased by two-fold without harming normal cells. Although siHMOX1 reduced cell migration, it only modestly affected cell proliferation with either DOX or TMZ. The gene expression analysis demonstrated that the siPFKFB4/DOX treatment led to an upregulation of pro-apoptotic genes such as DPYSL4, while simultaneously downregulating anti-apoptotic genes, including BCL-2 and PARP2. In contrast, the siHMOX1 combination influenced the expression of 14 genes, significantly enhancing the levels of CYLD, FAS, and CASP3, which are key promoters of apoptosis. In migration assays, siPFKFB4/DOX and siHMOX1/DOX reduced cell migration by 65 and 75%, respectively. These findings suggest that siPFKFB4 combined with DOX offers a promising pathway for GBM therapy, advocating further exploration into effective central nervous system drug delivery methods.
Structure and Catalytic Properties of Homo- and Heterometallic Iron(II)-Based Di(2-pyridyl)ketone Oxoclusters
Resilient $${\mathcalligra {H}}_\infty$$ filter design for networked control systems under communication jamming cyberattacks
Stability and Exsolution of Sr<sub>0.98</sub>Ti<sub>0.7</sub>Fe<sub>0.25</sub>Ni<sub>0.05</sub>O<sub>3</sub> for the Oxygen Evolution Reaction in an Alkaline Environment
The daily auditory environments of people with tinnitus
Multilevel Chiral Semiconductor Metal-Peptide Framework Thin Film for Highly Circularly Polarized Visible Photodetection
Topography of the subducting basement throughout the entire Nankai Trough
Abstract The heterogeneous distributions of large and slow earthquakes in subduction zones are caused by multiple uncertain conditions in the source regions, and the basement topography is considered one of the major controlling factors. We revealed the topography of the subducting basement along the entire Nankai Trough on the basis of seismic reflection profiles compiled from 1997 to 2024. We interpreted the reflection profiles in the time domain to ensure consistency among multiple-generation datasets. The new surface model captured the detailed topography on a scale of several kilometers, over 730 km long and 150 km wide, and down to depths of 15–20 km. The basement topography is characterized by past tectonic activity and is divided into three domains, which affect the present heterogeneity in geological structures and physical properties along the Nankai Trough. While the three domains correspond to megathrust seismogenic zones along the Nankai Trough, the lack of correspondence between the significant topographic relief and the slow earthquake distribution in some areas suggests the need for additional factors controlling spatiotemporal variations in seismicity.