AIMC Topic: Gene Regulatory Networks
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Deep learning-based high-resolution time inference for deciphering dynamic gene regulation from fixed embryos.
Nature communications
Jul 16, 2025
Embryo development is driven by the spatiotemporal dynamics of complex gene regulatory networks. Uncovering these dynamics requires simultaneous tracking of multiple fluctuating molecular species over time, which exceeds the capabilities of tradition...
Molecular mechanisms of efferocytosis imbalance in the idiopathic pulmonary fibrosis microenvironment: from gene screening to dynamic regulation analysis.
Biology direct
Jul 15, 2025
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a chronic progressive pulmonary disease characterized by alveolar structural destruction and fibrosis. In recent years, efferocytosis has been recognized as playing a crucial role in the occurrence a...
Exploring the mechanism of metabolic cell death-related genes AKR1C2 and MAP1LC3A as biomarkers in Parkinson's disease.
Scientific reports
Jul 15, 2025
There is a strong relationship between metabolic cell death (MCD) and neurodegenerative diseases. However, the involvement of metabolic cell death (MCD)-related genes (MCDRGs) in Parkinson's disease (PD) pathogenesis remains poorly analyzed. Integrat...
Exploring novel molecular mechanisms underlying recurrent pregnancy loss in decidual tissues.
Scientific reports
Jul 15, 2025
Recurrent pregnancy loss (RPL), which affects approximately 2.5% of reproductive-aged women, remains idiopathic in more than 50% of cases, necessitating mechanistic insights and biomarkers. Three RPL decidual tissue transcriptomic datasets (GSE113790...
Identification and analysis of pyroptosis-related key genes in heart failure.
Journal of cardiothoracic surgery
Jul 14, 2025
BACKGROUND: Pyroptosis plays a pivotal role in the pathogenesis of Heart Failure (HF). However, the current understanding of how pyroptosis-related genes (PRGs) influence HF is scarce. This study aimed to explore the link between PRGs and HF based on...
Integrated bioinformatics and machine learning reveal key genes and immune mechanisms associated with uremia.
Scientific reports
Jul 14, 2025
Uremia is a serious complication of end-stage chronic kidney disease, closely associated with immune imbalance and chronic inflammation. However, its molecular mechanisms remain largely unclear. In this study, we analyzed transcriptomic data from the...
A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma.
Scientific reports
Jul 13, 2025
Transcription factors (TFs) are pivotal in tumor initiation and progression, regulating downstream gene expression and modulating cellular processes. In this study, we conducted a comprehensive analysis of TF gene sets to define the molecular subtype...
Humans
Transcription Factors
Gene Expression Profiling
Prognosis
Gene Regulatory Networks
Basic Helix-Loop-Helix Leucine Zipper Transcription Factors
Glioma
Protein Interaction Maps
Biomarkers, Tumor
Gene Expression Regulation, Neoplastic
Basic Helix-Loop-Helix Transcription Factors
Mutation
Brain Neoplasms
Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.
Scientific reports
Jul 12, 2025
An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesized, but the causal link and shared mechanisms remain unclear. This study integrates epidemiological and bioinformatics approaches to investigate thei...
Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.
Molecular medicine reports
Jul 11, 2025
Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal transition (EMT) serving a key role in its initiation and progression. Nevertheless, the precise mechanisms involved remain unidentified. The present ...
Machine learning identifies lipid-associated genes and constructs diagnostic and prognostic models for idiopathic pulmonary fibrosis.
Orphanet journal of rare diseases
Jul 10, 2025
OBJECTIVE: Emerging evidence suggests a potential relationship between lipid metabolism and idiopathic pulmonary fibrosis (IPF). This study aimed to identify lipid-related genes implicated in IPF pathogenesis.
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