Publications by authors named "G Michailidis"
Background: Metabolomics is a high-throughput technology that measures small molecule metabolites in cells, tissues or biofluids. Analysis of metabolomics data is a multi-step process that involves data processing, quality control and normalization, followed by statistical and bioinformatics analysis. The latter step often involves pathway analysis to aid biological interpretation of the data.
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- * There are two types of movers: returners, who go to the same places often, and explorers, who visit many different places.
- * During Hurricane Ian, both groups kept their moving styles but explored more, with more people taking longer trips away from the hurricane.
Article Synopsis
- * The enzyme adenosine deaminase (ADA) is linked to higher-grade PCa and poor survival rates, showing increased activity in the urine of PCa patients, especially in African-American men.
- * Enhanced ADA expression during later tumor stages boosts growth in pre-clinical models and may contribute to metastasis by disrupting cell adhesion, indicating ADA's potential role in PCa progression.
Article Synopsis
- Analyzing omics data, particularly metabolomics, faces challenges in linking individual metabolite changes to biological processes, especially due to the prevalence of unknown metabolites in untargeted LC-MS studies.
- Tools like CorrelationCalculator and Filigree were developed to improve data network analysis by enabling the construction of correlation-based networks even when the number of metabolites exceeds the sample size.
- These tools enhance the understanding of metabolomics data through features like single network construction and differential network analysis, making them valuable for real-life applications in biological research.