AIMC Topic: Mice

Clear Filters Showing 201 to 210 of 1771 articles

Picoeukaryote-based biohybrid microrobots for active delivery in the kidney.

Science advances
Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating these ultrasmall environments is essential for precise drug delivery, improving treatment outcomes and reducing adverse effects. Microrobots offer a p...

SPP1 promotes malignant characteristics and drug resistance in hepatocellular carcinoma by activating fatty acid metabolic pathway.

Functional & integrative genomics
Hepatocellular carcinoma (HCC) progression and prognosis are influenced by various molecular markers. This study aimed to identify the hub gene associated with HCC clinical characteristics and its role in HCC progression. Differentially expressed gen...

Diagnostic immune-related markers for diabetic kidney disease: a bioinformatics and machine learning approach.

Renal failure
OBJECTIVE: Diabetic kidney disease (DKD) is a leading cause of chronic kidney disease, with chronic inflammation driving its progression. This study aimed to identify immune-related diagnostic biomarkers for DKD and explore their association with imm...

Prediction of possible new drug binding site for ATP-sensitive potassium channel inhibition: bupropion's modulation of hippocampal CA1 neuron excitability.

Neuroreport
OBJECTIVE: Bupropion, a norepinephrine-dopamine reuptake inhibitor, is widely used as an antidepressant and smoking cessation aid. At high doses, it also inhibits pancreatic β-cell ATP-sensitive potassium (KATP) channels, inducing insulin secretion. ...

Rapid Fluorescence Lifetime Imaging through One-Dimensional Deep Learning Optimization.

Analytical chemistry
Traditional fluorescence lifetime imaging (FLIM) provides valuable quantitative insights for biomedical and molecular biology research, but often relies on computationally intensive datafitting methods to extract meaningful metrics. To address this l...

USP5-Mediated PD-L1 deubiquitination regulates immunotherapy efficacy in melanoma.

Journal of translational medicine
BACKGROUND: The role of post-translational modifications(PTMs) in PD-L1-mediated immune resistance and melanoma progression remains poorly understood.

Artificial intelligence-driven discovery of YH395A: A novel TGFβR1 inhibitor with potent anti-tumor activity against triple-negative breast cancer.

Cell communication and signaling : CCS
Characterized by high malignancy and limited treatment efficacy, triple-negative breast cancer (TNBC) remains a clinically challenging subtype within breast cancer classifications, marked by rapid progression and high mortality. Abnormal activation o...

Combining the NanaPPI Toolbox and AI-Driven Virtual Inhibitor Screening for the p53-MDM2 Interaction.

Analytical chemistry
High-throughput screening for inhibitors of protein-protein interactions (PPIs) provides vital information for therapeutic intervention in diseases driven by aberrant PPIs. Traditionally, the discovery of PPI inhibitors involves sequential steps: in ...

Multi-task genomic prediction using gated residual variable selection neural networks.

BMC bioinformatics
BACKGROUND: The recent development of high-throughput sequencing techniques provide massive data that can be used in genome-wide prediction (GWP). Although GWP is effective on its own, the incorporation of traditional polygenic pedigree information i...

Nuclear morphometrics coupled with machine learning identifies dynamic states of senescence across age.

Nature communications
Cellular senescence is an irreversible state of cell cycle arrest with a complex role in tissue repair, aging, and disease. However, inconsistencies in identifying cellular senescence have led to varying conclusions about their functional significanc...