Epigenetics Market Projected to Surpass $5.47 Billion in Value by 2030
Epigenetics Market by Offering (Kits, Reagents, Instruments, Software) Method (DNA Methylation, PCR, Chromatin Analysis, Histone, RNA Modification), Application (Oncology, Non-oncology) End User (Pharma, Academics, Hospitals) \u2013 Global Forecast to 2030\n
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Translational Liver Cancer Research Initiatives
Translational Liver Consortia (TLC) and the Translational Hepatocellular Carcinoma Consortium (THCCC) led by Dr. Hashem B. El-Serag are focused on advancing research for early detection of liver cancer. The main objectives include patient stratification for liver cancer risk, surveillance in cirrhos
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Understanding Biological Datasets and Omics Approaches in Disease Research
Explore the world of biological datasets, lipidomics, genomics, epigenomics, proteomics, and the application of omics in studying biological mechanisms, predicting outcomes, and identifying important variables. Dive into DNA, gene expression, methylation, and genetic datasets to unravel the complexi
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Understanding Epigenetics: DNA Methylation and Histone Modification
Epigenetics involves modifications that impact gene expression without altering DNA sequences, playing a crucial role in the transition from genotype to phenotype. This includes DNA methylation, histone modification, and microRNAs. DNA methylation, controlled by DNMT enzymes, can lead to either gene
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Understanding Epigenetics: DNA Methylation and Histone Modification
Epigenetics refers to changes in gene expression without altering the DNA sequence. This involves processes like DNA methylation, histone modification, and microRNAs. DNA methylation is controlled by DNA methyltransferase enzymes and plays crucial roles in gene activation and silencing. Histone modi
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The Biosynthesis and Role of Salicylic Acid in Plants
Salicylic acid (SA), a phenolic derivative widely present in plants, plays a crucial role as a regulator in various physiological and biochemical processes. Originally isolated from willow trees, SA is synthesized through the shikimate pathway via metabolic routes involving enzymes like PAL and BA2H
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Strategies for Differential Methylation Analysis in Epigenetics Research
Explore the process of differential methylation analysis through raw data handling, statistical power assessment, and correction considerations. Learn how to identify significant changes in methylation levels and address challenges like global differences and statistical power in epigenetic research
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Understanding the Epigenetic Clock and Ageing Factors
Explore the Epigenetic Clock model used to estimate biological age in mice by analyzing DNA methylation changes. Learn about the difference between chronological and biological age, the influence of epigenetics on ageing, and how lifestyle factors like diet, fat content, caloric intake, and growth h
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Understanding DNA Methylation and Cadmium Exposure in Utero: An Epigenetic Analysis
Explore the complex relationship between DNA methylation and in utero exposure to cadmium through a set of informative slides created by Dana Haine, MS. Learn about the impacts of DNA methylation on gene expression and how changes in methylation levels can lead to gene silencing or activation. Disco
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Early Detection and Monitoring of Colorectal Cancer using ctDNA and Methylation
Blood tests for colorectal cancer (CRC) screening can enhance compliance and options for testing. Markers like ctDNA and aberrantly methylated genes provide potential for early detection and monitoring of CRC recurrence. By combining these markers in plasma samples processed similarly, a more effect
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Visualising and Exploring BS-Seq Data: Tips and Insights
Explore essential strategies for analysing BS-Seq data, ranging from selecting appropriate methylation contexts to identifying coverage outliers and biases. Understand how to interpret data patterns, handle unusual findings, and mitigate potential errors, ensuring accurate methylation analysis resul
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Advancing Multi-Omics Research with Integrated Methods
Exploring the importance of multi-variate methods in multi-omics research to integrate diverse datasets such as phenotypes, metabolites, expression, methylation, and SNPs. The overview covers matrix-based methods, sparse methods for feature selection, and an example analysis from the MESA Multi-Omic
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