AIMC Topic: 5-Methylcytosine

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5-Hydroxymethylcytosine signatures as diagnostic biomarkers for septic cardiomyopathy.

Scientific reports Jul 4, 2025
At present, there are currently no molecular biomarkers for the early diagnosis of sepsis cardiomyopathy (SCM) in clinical practice. This study focuses on an in-depth examination of the DNA hydroxymethylation profiles within plasma extracellular vesi...
Female Aged Male Humans Biomarkers DNA Methylation Cardiomyopathies 5-Methylcytosine Middle Aged Sepsis Extracellular Vesicles
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Inflammation-related 5-hydroxymethylation signatures as markers for clinical presentations of coronary artery disease.

Cardiovascular diabetology Jun 23, 2025
BACKGROUND: Coronary angiography remains the gold standard for diagnosing coronary artery disease (CAD), but its invasive nature limits its applicability for widespread screening. Identifying non-invasive molecular markers could improve CAD classific...
Humans Machine Learning Reproducibility of Results Aged Male Biomarkers Prognosis Female 5-Methylcytosine Cell-Free Nucleic Acids Non-ST Elevated Myocardial Infarction Predictive Value of Tests ST Elevation Myocardial Infarction Coronary Artery Disease Epigenesis, Genetic Inflammation Mediators Middle Aged Inflammation Risk Assessment DNA Methylation Severity of Illness Index
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Identification of m5C RNA modification-related gene signature for predicting prognosis and immune microenvironment-related characteristics of heart failure.

Hereditas May 22, 2025
BACKGROUND: Methylation of RNA is involved in many pathophysiological processes. The roles of N6-methyladenosine (m6A) and N7-methylguanosine (m7G) in heart failure (HF) have been established. However, the impact of 5-methylcytosine (m5C) on HF and i...
5-Methylcytosine Gene Regulatory Networks Rats Heart Failure Humans Prognosis Animals Gene Expression Profiling Transcriptome
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Transformer-based deep learning for accurate detection of multiple base modifications using single molecule real-time sequencing.

Communications biology Apr 14, 2025
We had previously reported a convolutional neural network (CNN) based approach, called the holistic kinetic model (HK model 1), for detecting 5-methylcytosine (5mC) by single molecule real-time sequencing (Pacific Biosciences). In this study, we cons...
5-Methylcytosine DNA Methylation Cell-Free Nucleic Acids Adenine Liver Neoplasms Carcinoma, Hepatocellular Sequence Analysis, DNA Humans Neural Networks, Computer Deep Learning
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Trans-m5C: A transformer-based model for predicting 5-methylcytosine (m5C) sites.

Methods (San Diego, Calif.) Dec 30, 2024
5-Methylcytosine (m5C) plays a pivotal role in various RNA metabolic processes, including RNA localization, stability, and translation. Current high-throughput sequencing technologies for m5C site identification are resource-intensive in terms of cos...
RNA High-Throughput Nucleotide Sequencing 5-Methylcytosine Deep Learning Humans Mice Neural Networks, Computer Animals Computational Biology
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A hybrid residue based sequential encoding mechanism with XGBoost improved ensemble model for identifying 5-hydroxymethylcytosine modifications.

Scientific reports Sep 6, 2024
RNA modifications play an important role in actively controlling recently created formation in cellular regulation mechanisms, which link them to gene expression and protein. The RNA modifications have numerous alterations, presenting broad glimpses ...
Humans Algorithms Machine Learning 5-Methylcytosine Cytosine
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m5C-Seq: Machine learning-enhanced profiling of RNA 5-methylcytosine modifications.

Computers in biology and medicine Sep 3, 2024
Epigenetic modifications, particularly RNA methylation and histone alterations, play a crucial role in heredity, development, and disease. Among these, RNA 5-methylcytosine (m5C) is the most prevalent RNA modification in mammalian cells, essential fo...
Reproducibility of Results Animals Databases, Genetic RNA Species Specificity 5-Methylcytosine Humans Machine Learning Algorithms
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m5c-iDeep: 5-Methylcytosine sites identification through deep learning.

Methods (San Diego, Calif.) Jul 31, 2024
5-Methylcytosine (m5c) is a modified cytosine base which is formed as the result of addition of methyl group added at position 5 of carbon. This modification is one of the most common PTM that used to occur in almost all types of RNA. The conventiona...
Humans 5-Methylcytosine Deep Learning Computer Simulation Computational Biology RNA
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Effective training of nanopore callers for epigenetic marks with limited labelled data.

Open biology Jun 12, 2024
Nanopore sequencing platforms combined with supervised machine learning (ML) have been effective at detecting base modifications in DNA such as 5-methylcytosine (5mC) and N6-methyladenine (6mA). These ML-based nanopore callers have typically been tra...
Nanopore Sequencing Markov Chains 5-Methylcytosine Nanopores Humans Epigenesis, Genetic Neural Networks, Computer DNA Methylation DNA
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MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning models.

Methods (San Diego, Calif.) May 8, 2024
RNA modification serves as a pivotal component in numerous biological processes. Among the prevalent modifications, 5-methylcytosine (m5C) significantly influences mRNA export, translation efficiency and cell differentiation and are also associated w...
RNA Processing, Post-Transcriptional Computational Biology RNA Humans 5-Methylcytosine Machine Learning Algorithms
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