AIMC Topic: Gene Expression Profiling

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Functional dynamics between resident transcriptionally active microbes (TAMs) and host genes underlie Dengue severity.

PLoS neglected tropical diseases
Host-microbe interactions are increasingly recognized as an important module to understand disease progression and potential treatment strategies. Increasing evidence points to the microbiome's ability to modulate host gene expression, and thereby in...

A novel prognostic model for lung squamous cell carcinoma based on multi-omics analysis and machine learning.

PloS one
Lung squamous-cell carcinoma (LUSC) is a highly aggressive malignancy with a poor prognosis. Tertiary lymphoid structures (TLS) play a crucial role in the immune response and significantly influence the efficacy of immunotherapy. However, the prognos...

Molecular subtyping and prognostic evaluation in idiopathic pulmonary fibrosis: a focus on mechanical-related genes.

Journal of translational medicine
OBJECTIVE: Idiopathic pulmonary fibrosis (IPF) is a chronic lung disease characterized by fibroblast activation and extracellular matrix deposition. Although mechanical forces are known to influence critical processes such as tissue remodeling and ce...

Exploring shared diagnostic genes and molecular mechanisms in multiple sclerosis and psoriasis through bioinformatics analysis and machine learning.

Biochemical and biophysical research communications
BACKGROUND: Multiple sclerosis (MS) and psoriasis are both immune-mediated inflammatory diseases. Previous studies have reported comorbidity between MS and psoriasis, but the underlying mechanisms remain unclear. This study aims to elucidate the shar...

Unravelling TPX2-centered co-expression networks as key drivers of aggressive prostate cancer.

Scientific reports
Prostate cancer (PCa) progression is driven by complex molecular reprogramming, yet distinguishing indolent from aggressive disease remains a challenge. We performed an integrative transcriptomic analysis of 1232 PCa samples spanning normal prostate ...

Exploring the mechanism of autophagy and inflammation in osteoarthritis through bioinformatics and experimental verification.

Autoimmunity
Osteoarthritis (OA) is a chronic joint disorder characterized by cartilage degradation and accompanied by inflammatory processes. Inflammation and autophagy dysfunction have been associated with the pathogenesis of OA. However, the interplay between ...

Feature learning augmented with sampling and heuristics (FLASH) improves model performance and biomarker identification.

NPJ systems biology and applications
Big biological datasets, such as gene expression profiles, often contain redundant features that degrade model performance and limit generalization across independent datasets with complexities like class imbalance and hidden sub-clusters. To overcom...

A Novel Palmitoylation-Related Molecular Signature for Predicting and Therapeutically Targeting Alzheimer's Disease.

Molecular neurobiology
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder characterized by amyloid-beta (Aβ) plaques and hyperphosphorylated tau pathology. Although palmitoylation has been implicated in AD, its specific mechanisms remain poorly defined. To ...

Molecular mechanisms of lipid metabolism abnormalities driving sepsis and atrial fibrillation: A Systematic study based on bioinformatics and machine learning.

PloS one
BACKGROUND: Sepsis and atrial fibrillation are complex, life-threatening medical conditions affecting approximately 49 million individuals globally, characterized by exceptionally high mortality rates. Lipid metabolism abnormalities play a critical r...

Identification and validation of palmitoylation-related signature genes based on machine learning for prostate cancer.

PloS one
Prostate cancer (PCa) remains a leading cause of cancer-related mortality in men, with challenges in diagnosis and treatment due to tumor heterogeneity. This study identifies palmitoylation-related signature genes as potential diagnostic and therapeu...