AIMC Topic: Kruppel-Like Transcription Factors

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Multi-tissue Methylation Analysis of Alzheimer's Disease: Insights into Pathways, Modules, and Key Genes.

Journal of molecular neuroscience : MN Jul 16, 2025
DNA methylation plays a crucial role in the onset and progression of Alzheimer's disease (AD). Genome-wide methylation analysis of multi-tissue data can provide insights into the pathology and diagnostic biomarkers of AD. Computational tools were emp...
Alzheimer Disease Kruppel-Like Factor 4 Neurons Hypoxia-Inducible Factor 1, alpha Subunit Neuroglia Kruppel-Like Transcription Factors Gene Regulatory Networks Transforming Growth Factor beta1 DNA Methylation Cell Line, Tumor Protein Interaction Maps Male Humans Thrombospondin 1 Aged Female
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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...
Embryonic Development Drosophila Proteins DNA-Binding Proteins Kruppel-Like Transcription Factors Gene Expression Regulation, Developmental Drosophila melanogaster Embryo, Nonmammalian Gene Regulatory Networks Animals Transcription Factors Deep Learning RNA, Messenger
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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.
Machine Learning Gene Regulatory Networks Prognosis Humans Kruppel-Like Transcription Factors Idiopathic Pulmonary Fibrosis Lipid Metabolism Kruppel-Like Factor 4
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Identifying Biomarkers of Hepatocellular Carcinoma Based on Gene Co-Expression Network from High-Throughput Data.

Studies in health technology and informatics Jan 1, 2017
In this paper, we proposed an approach systematically based on the use of gene co-expression network analyses to identify potential biomarkers for Hepatocellular Carcinoma (HCC). With the analysis of differential gene expression, we first selected ca...
Kruppel-Like Transcription Factors Kruppel-Like Factor 4 Liver Neoplasms Biomarkers Gene Regulatory Networks Humans Gene Expression Profiling Carcinoma, Hepatocellular
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Prediction and Identification of Krüppel-Like Transcription Factors by Machine Learning Method.

Combinatorial chemistry & high throughput screening Jan 1, 2017
AIM AND OBJECTIVE: The Krüppel-like factors (KLFs) are a family of containing Zn finger(ZF) motif transcription factors with 18 members in human genome, among them, KLF18 is predicted by bioinformatics. KLFs possess various physiological function inv...
Humans Databases, Protein Machine Learning Zinc Fingers Amino Acids Kruppel-Like Transcription Factors
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