AIMC Topic: Signal Transduction
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Abnormal genes and pathways that drive muscle contracture from brachial plexus injuries: Towards machine learning approach.
SLAS technology
Jul 20, 2024
In order to clarify the pathways closely linked to denervated muscle contracture, this work uses IoMT-enabled healthcare stratergies to examine changes in gene expression patterns inside atrophic muscles following brachial plexus damage. The gene exp...
Deep learning-based pathway-centric approach to characterize recurrent hepatocellular carcinoma after liver transplantation.
Human genomics
Jun 5, 2024
BACKGROUND: Liver transplantation (LT) is offered as a cure for Hepatocellular carcinoma (HCC), however 15-20% develop recurrence post-transplant which tends to be aggressive. In this study, we examined the transcriptome profiles of patients with rec...
Neoplasm Recurrence, Local
Liver Transplantation
Middle Aged
Carcinoma, Hepatocellular
Humans
Deep Learning
Biomarkers, Tumor
Gene Regulatory Networks
Gene Expression Profiling
Protein Interaction Maps
Female
Liver Neoplasms
Gene Expression Regulation, Neoplastic
Transcriptome
Male
Signal Transduction
Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.
Frontiers in immunology
May 28, 2024
BACKGROUND: Psoriasis extends beyond its dermatological inflammatory manifestations, encompassing systemic inflammation. Existing studies have indicated a potential risk of cervical cancer among patients with psoriasis, suggesting a potential mechani...
HeLa Cells
Uterine Cervical Neoplasms
Gene Expression Profiling
Signal Transduction
Gene Regulatory Networks
Humans
Transcriptome
Psoriasis
Databases, Genetic
Female
Computational Biology
Machine Learning
Carcinoma, Squamous Cell
Biomarkers, Tumor
Gene Expression Regulation, Neoplastic
Protein Interaction Maps
MicroRNAs
Identification of key genes and biological pathways associated with vascular aging in diabetes based on bioinformatics and machine learning.
Aging
May 27, 2024
Vascular aging exacerbates diabetes-associated vascular damage, a major cause of microvascular and macrovascular complications. This study aimed to elucidate key genes and pathways underlying vascular aging in diabetes using integrated bioinformatics...
Identification of LPCAT1 as a key biomarker for Crohn's disease based on bioinformatics and machine learnings and experimental verification.
Gene
May 3, 2024
Epithelial-mesenchymal transition (EMT) plays a crucial role in regulating inflammatory responses and fibrosis formation. This study aims to explore the molecular mechanisms of EMT-related genes in Crohn's disease (CD) through bioinformatics methods ...
Exploratory drug discovery in breast cancer patients: A multimodal deep learning approach to identify novel drug candidates targeting RTK signaling.
Computers in biology and medicine
Apr 16, 2024
Breast cancer, a highly formidable and diverse malignancy predominantly affecting women globally, poses a significant threat due to its intricate genetic variability, rendering it challenging to diagnose accurately. Various therapies such as immunoth...
Deciphering Ferroptosis: From Molecular Pathways to Machine Learning-Guided Therapeutic Innovation.
Molecular biotechnology
Apr 13, 2024
Ferroptosis is a unique form of cell death reliant on iron and lipid peroxidation. It disrupts redox balance, causing cell death by damaging the plasma membrane, with inducers acting through enzymatic pathways or transport systems. In cancer treatmen...
Exploring the NRF2-TP53 Signaling Network Through Machine Learning and Pan-Cancer Analysis: Identifying Potential targets for Cancer Prognosis Related to Oxidative Stress.
Advanced biology
Mar 22, 2024
Oxidative stress (OXS) is closely related to tumor prognosis and immune response, while TP53 integrated with NRF2 is closely associated with the regulation of cancer-related OXS. Hence, constructing a TP53-NRF2 integrated OXS signature of pan-cancer ...
Integrating network pharmacology, molecular docking and simulation approaches with machine learning reveals the multi-target pharmacological mechanism of against diabetic nephropathy.
Journal of biomolecular structure & dynamics
Feb 20, 2024
Diabetic nephropathy (DN) is one of the most feared complications of diabetes and key cause of end-stage renal disease (ESRD). has been widely used to treat diabetic complications, but exact molecular mechanism is yet to be discovered. Data on activ...
Paeonol impacts ovarian cancer cell proliferation, migration, invasion and apoptosis via modulating the transforming growth factor beta/smad3 signaling pathway.
Journal of physiology and pharmacology : an official journal of the Polish Physiological Society
Feb 7, 2024
Paeonol (2-hydroxy-4-methoxyphenylacetophenone) is a natural phenolic component isolated from the root bark of peony with multiple pharmacological activities and has been proven to have anti-cancer effects. The objective of this study is to investiga...
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