AIMC Topic: Multiomics

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Identification of MEG3 and MAPK3 as potential therapeutic targets for osteoarthritis through multiomics integration and machine learning.

Scientific reports Jul 2, 2025
Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder, yet its underlying molecular mechanisms remain puzzling. This study aimed to uncover the genes with a causal relationship to KOA using Mendelian randomization (MR), transcriptomic ...
Machine Learning Gene Expression Profiling Genome-Wide Association Study Humans Mendelian Randomization Analysis Osteoarthritis, Knee Quantitative Trait Loci Mitogen-Activated Protein Kinase 3 ROC Curve Multiomics RNA, Long Noncoding
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Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets.

Metabolomics : Official journal of the Metabolomic Society Jul 1, 2025
INTRODUCTION: Data normalization is crucial for multi-omics integration, reducing systematic errors and maximizing the likelihood of discovering true biological variation. Most studies assess normalization for a single omics type or use datasets from...
Mass Spectrometry Machine Learning Metabolomics Humans Multiomics Lipidomics Proteomics
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Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies.

Genome research Jul 1, 2025
Recent advances in spatially resolved single-omic and multi-omics technologies have led to the emergence of computational tools to detect and predict spatial domains. Additionally, histological images and immunofluorescence (IF) staining of proteins ...
Proteomics Supervised Machine Learning Computational Biology Humans Multiomics Genomics
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Integrating multi-omics and machine learning for disease resistance prediction in legumes.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 27, 2025
Multi-omics assisted prediction of disease resistance mechanisms using machine learning has the potential to accelerate the breeding of resistant legume varieties. Grain legumes, such as soybean (Glycine max (L.) Merr.), chickpea (Cicer arietinum L.)...
Plant Diseases Disease Resistance Plant Breeding Genomics Multiomics Fabaceae Machine Learning
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3Mont: A multi-omics integrative tool for breast cancer subtype stratification.

PloS one Jun 27, 2025
Breast Cancer (BRCA) is a heterogeneous disease, and it is one of the most prevalent cancer types among women. Developing effective treatment strategies that address diverse types of BRCA is crucial. Notably, among different BRCA molecular sub-types,...
Prognosis Female Breast Neoplasms Biomarkers, Tumor Humans Machine Learning Algorithms Genomics Multiomics
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Pan-omics insights into abiotic stress responses: bridging functional genomics and precision crop breeding.

Functional & integrative genomics Jun 13, 2025
Crop production has been regarded as the major goal of agricultural activities, but the rapidly growing population and climate change have become more complex in the agricultural systems. Abiotic stress greatly affects crop productivity globally; dev...
Proteomics Metabolomics Crops, Agricultural Stress, Physiological Plant Breeding Genomics Multiomics
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Neurodegeneration Promotes Tumorigenesis in Colorectal Cancer: Insights From Single-Cell and Spatial Multiomics.

JCO precision oncology Jun 6, 2025
PURPOSE: Colorectal cancer (CRC) ranks third in global incidence and second in mortality, with rates increasing among younger populations. The enteric nervous system (ENS) is crucial for gastrointestinal function, and its dysfunction is associated wi...
Enteric Nervous System Single-Cell Analysis Multiomics Carcinogenesis Colorectal Neoplasms Transcriptome Humans
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Machine learning and multi-omics analysis reveal key regulators of proneural-mesenchymal transition in glioblastoma.

Scientific reports Jun 5, 2025
Glioblastoma (GBM) is classified into subtypes according to the molecular expression profile; the proneural subtype has a relatively good prognosis, and the mesenchymal type is the most aggressive form with the worst prognosis. GBM undergoes proneura...
Gene Expression Profiling Transcriptome Tumor Microenvironment Gene Regulatory Networks Glioblastoma Multiomics Humans Biomarkers, Tumor Epithelial-Mesenchymal Transition Gene Expression Regulation, Neoplastic Brain Neoplasms Machine Learning Proteomics Prognosis
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Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning.

BMC medical informatics and decision making Jun 3, 2025
BACKGROUND: Fatigue is a prevalent and debilitating symptom of non-communicable diseases (NCDs); however, its biological basis are not well-defined. This exploratory study aimed to identify key biological drivers of fatigue by integrating metabolomic...
Saliva Machine Learning Microbiota Biomarkers Fatigue Female Middle Aged Humans Aged Metabolomics Multiomics Adult Noncommunicable Diseases Male
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Multi-omics identifies OSM-OSMR as a key receptor-ligand in the tumor environment of endometrial adenocarcinoma.

International immunopharmacology May 31, 2025
Endometrial adenocarcinoma carries a bleak prognosis, and the molecular markers that evaluate the progression of endometrial adenocarcinoma to advanced stages remain uncertain. Cell-cell communication plays a crucial role in the tumor microenvironmen...
Tumor Microenvironment Animals Gene Expression Profiling Transcriptome Cell Line, Tumor Mice Humans Prognosis Ligands Signal Transduction Female Endometrial Neoplasms Adenocarcinoma Oncostatin M Mice, Nude Multiomics Oncostatin M Receptor beta Subunit Gene Expression Regulation, Neoplastic Cell Proliferation
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