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Combining Time Series and Feature Correlation Analysis Linked Two Biologically Important Pathways in CD8+ T cell Activation
EP38436
Poster Title: Combining Time Series and Feature Correlation Analysis Linked Two Biologically Important Pathways in CD8+ T cell Activation
Submitted on 09 Mar 2022
Author(s): Sofie Weinkouff 1 , Joerg M. Buescher 2 , Aiko Barsch 1 , Nikolas Kessler 1
Affiliations: 1 Bruker Daltonics GmbH & Co. KG, Bremen, Germany 2 Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
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Poster Information
Abstract: Metabolic processes are subject to constant dynamics. Therefore, the investigation of dynamic changes is of high importance in Metabolomics, Lipidomics Pharma and Phenomics. Analysis of metabolic dynamics enables, for example, the detection of relevant markers for immune cells responses to pathogen attacks that would otherwise remain undiscovered Cytotoxic (CD 8+) T cells play a central role in immune response. During activation, T cells undergo a complex transition and major metabolic changes are triggered.
To better understand the dynamics in CD 8 T cell activation, detailed investigation of global metabolic changes paired with metabolite identification (ID) is required. Here, we combined metabolite ID by matching internal standards with time series and feature correlation analysis using interactive visualizations to detect relevant markers with similar molecular dynamics. This allowed us to ultimately connect two biologically important pathways in T cell activation.
Summary: To better understand the dynamics in CD 8 T cell activation, detailed investigation of global metabolic changes paired with metabolite identification (ID) is required.References: 1. Edwards Hicks, J., Mitterer , M., Pearce, E. L. & Buescher, J. M. Metabolic dynamics of in vitro CD8+ T cell activation. Metabolites 11, 1 17 (2021).Report abuse »
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