AIMC Topic: Transcriptome
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Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis.
Arthritis research & therapy
Aug 20, 2025
BACKGROUND: Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is an autoimmune disorder characterized by multi-organ involvement. Early identification and accurate diagnosis of AAV is crucial for improving prognosis. However, res...
Stacking ensemble learning models diagnose pulmonary infections using host transcriptome data from metatranscriptomics.
Scientific reports
Aug 20, 2025
The prompt diagnosis of pulmonary infections with unknown etiology in patients in severe condition remains a challenge due to the lack of rapid and effective diagnostic methods. While metatranscriptomic sequencing offers a powerful approach, its clin...
Integrative machine learning and RT-qPCR analysis identify key stress-responsive genes in Thermus thermophilus HB8.
Genetica
Aug 20, 2025
Bacteria are constantly exposed to diverse environmental stresses, necessitating complex adaptive mechanisms for survival. Thermus thermophilus, a thermophilic extremophile, serves as an excellent model for investigating these responses due to its re...
Ferroptosis-related hub genes and immune cell dynamics as diagnostic biomarkers in age-related macular degeneration.
European journal of medical research
Aug 20, 2025
BACKGROUND: Age-related Macular Degeneration (AMD) is widely acknowledged as a principal cause of vision loss in the elderly. Currently, the therapeutic interventions available in clinical practice fail to achieve satisfactory outcomes. Therefore, it...
TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues.
Nature communications
Aug 19, 2025
The spatial organization of cells plays a pivotal role in shaping tissue functions and phenotypes in various biological systems and diseased microenvironments. However, the topological principles governing interactions among cell types within spatial...
Recent developments in omics studies and artificial intelligence in depression and suicide.
Translational psychiatry
Aug 11, 2025
Major depressive disorder (MDD) is the most prevalent and severe form of mental illness and is significantly linked to suicide. At present, addressing the treatment and prevention of depression and suicide poses significant challenges, largely due to...
Multi-omics insights of immune cells in the risk and prognosis of idiopathic membranous nephropathy.
Communications biology
Aug 10, 2025
Idiopathic membranous nephropathy (IMN) is the major cause of autoimmune-related nephrotic syndrome. The role immune cells play in the risk and prognosis of IMN remains elusive. We employ multi-omics data and a variety of approaches to evaluate the c...
Comprehensive multi-omics analysis reveals the core role of glycerophospholipid metabolism in the influence of short-chain fatty acids on the development of sepsis.
Scientific reports
Aug 9, 2025
Sepsis is a systemic inflammatory response syndrome caused by infection, which has a high morbidity and mortality. Short-chain fatty acids (SCFAs) have been proved to improve the outcome of sepsis by regulating immunity and metabolism, but its specif...
Identification and validation of hub genes related to neutrophil extracellular traps-mediated cell damage and immune recruitment during abdominal aortic aneurysm.
Scientific reports
Aug 7, 2025
Previous research has shown that the formation of Neutrophil Extracellular Traps (NETs), mediated by neutrophils, leads to an increase in inflammatory cell response and cellular tissue damage during Abdominal Aortic Aneurysm (AAA). Building on this f...
Machine learning models highlight environmental and genetic factors associated with the Arabidopsis circadian clock.
Nature communications
Aug 5, 2025
The circadian clock of plants contributes to their survival and fitness. However, understanding clock function at the transcriptome level and its response to the environment requires assaying across high resolution time-course experiments. Generating...
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