AIMC Topic: Cell Death

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Preparation, characterization and toxicological investigation of copper loaded chitosan nanoparticles in human embryonic kidney HEK-293 cells.

Materials science & engineering. C, Materials for biological applications Dec 18, 2015
Metallic nanoparticles often attribute severe adverse effects to the various organs or tissues at the molecular level despite of their applications in medical, laboratory and industrial sectors. The present study highlights the preparation of copper ...
Humans Cell Death Cytotoxins HEK293 Cells Nanoparticles Copper Sulfate Reactive Oxygen Species Chitosan Copper
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Deep transfer learning approach for automated cell death classification reveals novel ferroptosis-inducing agents in subsets of B-ALL.

Cell death & disease May 18, 2025
Ferroptosis is a recently described type of regulated necrotic cell death whose induction has anti-cancer therapeutic potential, especially in hematological malignancies. However, efforts to uncover novel ferroptosis-inducing therapeutics have been l...
Animals Antineoplastic Agents Deep Learning Cell Line, Tumor Mice Ferroptosis Cell Death Pteridines Humans
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Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts.

Lipids in health and disease May 8, 2025
BACKGROUND: Dysregulated programmed cell death pathways mechanistically contribute to hepatic inflammation and fibrogenesis in non-alcoholic steatohepatitis (NASH). Identification of cell death genes may offer insights into diagnostic and therapeutic...
Inflammation Liver Cirrhosis Liver Lipid Metabolism Non-alcoholic Fatty Liver Disease Cell Death Female Male Gene Expression Profiling Cohort Studies Humans Machine Learning Algorithms
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Identification of regulatory cell death-related genes during MASH progression using bioinformatics analysis and machine learning strategies.

Frontiers in immunology Jan 1, 2025
BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) is becoming increasingly prevalent. Regulated cell death (RCD) has emerged as a significant disease phenotype and may act as a marker for liver fibrosis. The present study aimed to i...
Disease Progression Gene Expression Profiling Transcriptome Mice Humans Machine Learning Animals Non-alcoholic Fatty Liver Disease Cell Death Gene Expression Regulation Gene Ontology Computational Biology Liver Cirrhosis Databases, Genetic Disease Models, Animal
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Unveiling Varied Cell Death Patterns in Lung Adenocarcinoma Prognosis and Immunotherapy Based on Single-Cell Analysis and Machine Learning.

Journal of cellular and molecular medicine Nov 1, 2024
Programmed cell death (PCD) pathways hold significant influence in the etiology and progression of a variety of cancer forms, particularly offering promising prognostic markers and clues to drug sensitivity for lung adenocarcinoma (LUAD) patients. We...
Humans Biomarkers, Tumor Male Cell Line, Tumor Single-Cell Analysis Machine Learning Prognosis Female Tumor Microenvironment Apoptosis Cell Death Adenocarcinoma of Lung Lung Neoplasms Immunotherapy Gene Expression Regulation, Neoplastic
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Machine learning-based identification of a cell death-related signature associated with prognosis and immune infiltration in glioma.

Journal of cellular and molecular medicine Jun 1, 2024
Accumulating evidence suggests that a wide variety of cell deaths are deeply involved in cancer immunity. However, their roles in glioma have not been explored. We employed a logistic regression model with the shrinkage regularization operator (LASSO...
Lymphocytes, Tumor-Infiltrating Cell Death Myeloid Differentiation Factor 88 Gene Expression Regulation, Neoplastic Nomograms Glioma Humans Machine Learning Prognosis Female Middle Aged Gene Expression Profiling Transcriptome ROC Curve Biomarkers, Tumor Brain Neoplasms Male
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Determining Cell Death Pathway and Regulation by Enrichment Analysis.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Bioinformatics tools and resources are valuable for the analysis of data sets focusing on programmed cell death. This chapter discusses methods for the generation of gene sets as well as enrichment analysis using publicly available databases.
Humans Software Gene Expression Profiling Databases, Genetic Gene Regulatory Networks Cell Death Computational Biology Gene Ontology Signal Transduction
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NEUROPROTECTIVE EFFECT OF BOSWELLIA SERRATA AND ITS ACTIVE CONSTITUENT ACETYL 11-KETO-β-BOSWELLIC ACID AGAINST OXYGEN-GLUCOSE-SERUM DEPRIVATION-INDUCED CELL INJURY.

Acta poloniae pharmaceutica May 1, 2017
Oxidative stress plays a key role in pathophysiology of brain ischemia. This study aimed to test whether B. serrata hydroalcoholic extract (BSE) and its active constituent 3-acetyl-1 1-keto-β-boswellic acid (AKBA) could protect neurons against ischem...
DNA Damage Phytotherapy Inhibitory Concentration 50 Plant Extracts Glucose Boswellia Cytoprotection Rats Triterpenes PC12 Cells Tumor Hypoxia Neuroprotective Agents Neurons Animals Dose-Response Relationship, Drug Cell Death Oxidative Stress Lipid Peroxidation Antioxidants Plants, Medicinal
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Computer aided prognosis for cell death categorization and prediction in vivo using quantitative ultrasound and machine learning techniques.

Medical physics Dec 1, 2016
PURPOSE: At present, a one-size-fits-all approach is typically used for cancer therapy in patients. This is mainly because there is no current imaging-based clinical standard for the early assessment and monitoring of cancer treatment response. Here,...
Machine Learning Cell Line, Tumor Image Processing, Computer-Assisted Animals Cell Transformation, Neoplastic Mice Diagnosis, Computer-Assisted Cell Death Fibrosarcoma Ultrasonography
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