AIMC Topic: Transcriptome

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Alterations of multilayer network correlated with cognitive impairment and gene expression profiles in children with idiopathic generalized epilepsy.

Scientific reports
This study investigated dynamic brain network changes and their genetic correlations in children with idiopathic generalized epilepsy (IGE). We included 26 children with IGE and 35 healthy controls, all participants underwent resting-state functional...

Integrative transcriptomic analysis identifies shared EndMT-related gene signatures in endometriosis and recurrent miscarriage.

Scientific reports
Endometriosis (EMs) and recurrent miscarriage (RM) represent major reproductive health challenges. This study investigates the involvement of endothelial-mesenchymal transition (EndMT) in these conditions through integrative bioinformatics analysis, ...

TRIumph in nanotoxicology: simplifying transcriptomics into a single predictive variable.

Nanoscale horizons
The primary aim of our study was to address the problem of transcriptomic data complexity by introducing a novel transcriptomic response index (TRI), compressing the entire transcriptomic space into a single variable, and linking it with the inhaled ...

Investigation into the molecular mechanism of obesity: an integrated approach of multi-omics analysis, machine learning and experimental validation.

Journal of translational medicine
BACKGROUND: Obesity has emerged as a major global public health challenge and poses a significant threat to human health. Despite extensive research, the mechanisms underlying its pathological progression remain elusive.

Spatial domain identification method based on multi-view graph convolutional network and contrastive learning.

PLoS computational biology
Spatial transcriptomics is a rapidly developing field of single-cell genomics that quantitatively measures gene expression while providing spatial information within tissues. A key challenge in spatial transcriptomics is identifying spatially structu...

Multi-layer stratified oncology platform utilizing transcriptomics, prostate cancer organoids, and modeling of drug response.

Journal of experimental & clinical cancer research : CR
The high intra-patient heterogeneity in multifocal primary prostate cancer (PCa) has curtailed the efficacy of current treatment options. By employing twin biopsies from multiple lesions with matched patient-derived organoids (PDO) models, the PCa mo...

Integrative transcriptomic and genomic insights into diabetic kidney disease: evidence from multi-omics analysis and experimental validation.

Renal failure
Diabetic kidney disease (DKD) remains a critical challenge in diabetes management, necessitating a deep understanding of its molecular underpinnings for better diagnosis and treatment strategies. This study was conducted to identify and validate nove...

Gene association study between polycystic ovary syndrome and metabolic syndrome: a transcriptomic analysis and machine learning approach.

Journal of ovarian research
BACKGROUND: Patients with polycystic ovary syndrome (PCOS) often experience a range of metabolic comorbidities, suggesting a potential association between PCOS and metabolic syndrome (MetS). However, this potential link has not yet been fully elucida...

Identification of lipid metabolism-related signature in nonalcoholic fatty liver: evidences from transcriptomics and single cell RNA-sequencing analysis.

European journal of medical research
BACKGROUND: Considering the complex and close-knit relationship between non-alcoholic fatty liver disease (NAFLD) and the metabolic status, this study aimed to identify lipid metabolism-related genes (LMGs), construct an effective diagnostic model, a...

Decoding IBD progression: a dynamic biomarker atlas for personalized disease stratification.

Journal of translational medicine
BACKGROUND: Accurate staging is pivotal for tailoring treatment intensity, optimizing resource allocation, and improving long-term patient outcomes in IBD. The intestinal microbiota and transcriptional profiles emerge as critical determinants in IBD ...