AIMC Topic: Mice

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Identification and validation of tissue-based gene biomarkers for acute intestinal graft-versus-host disease(AIGVHD).

Frontiers in immunology Jan 1, 2025
BACKGROUND: Acute intestinal graft-versus-host disease (AIGVHD) is a common complication of allogeneic hematopoietic stem cell transplantation (allo HSCT) with a high mortality rate. The primary aim of the present study is to identify tissue-based ge...
Receptors, IgG Membrane Proteins Disease Models, Animal Acute Disease Biomarkers Humans Gene Expression Profiling Hematopoietic Stem Cell Transplantation Animals Machine Learning Mice Intestinal Diseases Genetic Markers Graft vs Host Disease
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Investigating the molecular mechanisms associated with ulcerative colitis through the application of single-cell combined spatial transcriptome sequencing.

Frontiers in immunology Jan 1, 2025
BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory bowel disease marked by dysregulated immune responses, resulting in sustained inflammation and ulceration of the colonic and rectal mucosa. To elucidate the cellular subtypes and gene expr...
Animals Male Colon Humans Gene Expression Profiling Disease Models, Animal Transcriptome Female Colitis, Ulcerative Mice, Inbred C57BL Single-Cell Analysis Tissue Inhibitor of Metalloproteinase-1 Mice
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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 Disease Models, Animal Non-alcoholic Fatty Liver Disease Cell Death Gene Expression Regulation Computational Biology Liver Cirrhosis Databases, Genetic Gene Ontology
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Classifying Mouse RPE Morphometric Heterogeneity Using REShAPE: An AI-Based Image Analysis Tool.

Advances in experimental medicine and biology Jan 1, 2025
Retinal degenerative diseases caused by retinal pigment epithelium (RPE) dysfunction affect specific areas of the retina. Regions of molecular and phenotypic RPE heterogeneity have been described in the human eye and are thought to underlie geographi...
Artificial Intelligence Image Processing, Computer-Assisted Algorithms Mice Animals Retinal Degeneration Disease Models, Animal Iodates Mice, Inbred C57BL Retinal Pigment Epithelium
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AI Methods for Antimicrobial Peptides: Progress and Challenges.

Microbial biotechnology Jan 1, 2025
Antimicrobial peptides (AMPs) are promising candidates to combat multidrug-resistant pathogens. However, the high cost of extensive wet-lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning...
Antimicrobial Peptides Artificial Intelligence Machine Learning Anti-Infective Agents Humans Deep Learning Neural Networks, Computer Mice Animals Drug Discovery
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Exploring the Mechanisms of Sanguinarine in the Treatment of Osteoporosis by Integrating Network Pharmacology Analysis and Deep Learning Technology.

Current computer-aided drug design Jan 1, 2025
BACKGROUND: Sanguinarine (SAN) has been reported to have antioxidant, antiinflammatory, and antimicrobial activities with potential for the treatment of osteoporosis (OP).
Protein Interaction Maps Mice Caspase 3 Network Pharmacology Benzophenanthridines Isoquinolines beta Catenin Animals Molecular Docking Simulation Deep Learning Humans Osteoporosis
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Integrating single-cell multimodal epigenomic data using 1D convolutional neural networks.

Bioinformatics (Oxford, England) Dec 26, 2024
MOTIVATION: Recent experimental developments enable single-cell multimodal epigenomic profiling, which measures multiple histone modifications and chromatin accessibility within the same cell. Such parallel measurements provide exciting new opportuni...
Convolutional Neural Networks Humans Mice Single-Cell Analysis Neural Networks, Computer Epigenomics Animals
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Identification of Ferroptosis-Related Gene in Age-Related Macular Degeneration Using Machine Learning.

Immunity, inflammation and disease Dec 1, 2024
BACKGROUND: Age-related macular degeneration (AMD) is a major cause of irreversible visual impairment, with dry AMD being the most prevalent form. Programmed cell death of retinal pigment epithelium (RPE) cells is a central mechanism in the pathogene...
Macular Degeneration Retinal Pigment Epithelium Gene Expression Profiling Mice Ferroptosis Humans Machine Learning Animals
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scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning.

Briefings in bioinformatics Nov 22, 2024
Cell type annotation is a critical step in analyzing single-cell RNA sequencing (scRNA-seq) data. A large number of deep learning (DL)-based methods have been proposed to annotate cell types of scRNA-seq data and have achieved impressive results. How...
Single-Cell Analysis RNA-Seq Single-Cell Gene Expression Analysis Sequence Analysis, RNA Algorithms Humans Mice Animals Neural Networks, Computer Computational Biology Deep Learning Software
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Deep coupled registration and segmentation of multimodal whole-brain images.

Bioinformatics (Oxford, England) Nov 1, 2024
MOTIVATION: Recent brain mapping efforts are producing large-scale whole-brain images using different imaging modalities. Accurate alignment and delineation of anatomical structures in these images are essential for numerous studies. These requiremen...
Deep Learning Image Processing, Computer-Assisted Mice Magnetic Resonance Imaging Humans Algorithms Brain Animals
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