Single Cell Metabolomics
Metabolites found in a specific cell, organ, or organism as the full complement of small-molecule the term metabolome is used. In the area of cancer single-cell metabolomics is the most interesting potential application. In other fields like systems biology, stem cell research, aging, and the development of drug resistance; more generally, it could be used to discover cells’ chemical strategies for coping with chemical or environmental stress. Metabolomics provides a more immediate and dynamic picture of the functionality (i.e., of the phenotype) of a cell relative to other single-cell “-omics” measurements, but it is the most difficult to measure. Its very challenging to analysis of metabolites by mass spectrometry due to the very limited volume and inherent molecular complexity of the sample. By aggregate analysis of multiple cells Quantitative metabolomic analysis of individual cells provides information on the metabolic heterogeneity of cells . Quantitative analysis for a broad class of metabolites exhibiting both high sensitivity and selectivity can offer by MS Depending on the ionization method . Metabolites can be analyze from broad range of biological samples, including single cells and small cell populations by Laser ablation electrospray ionization (LAESI).
Related Conference of Single Cell Metabolomics
16th International Conference on Tissue Science and Regenerative Medicine
15th International Conference on Biofuels and Bioenergy
Single Cell Metabolomics Conference Speakers
Recommended Sessions
- Analytical Platforms in Metabolomics
- Case Reports
- Clinical Metabolomics & Lipidomics
- Frontiers of Metabolomics Research
- Human Metabolomics
- Mass Spectrometry based Metabolomics
- Metabolic Modelling
- Metabolic Syndrome
- Metabolomic Analysis
- Metabolomic Devices
- Metabolomic profiling
- Metabolomics and Cancer Research
- Metabolomics in Precision Medicine
- Plant & Environmental Metabolomics
- Protein Expression and Analysis
- Proteomics and its Medicinal Research
- Proteomics for Bioinformatics
- Proteomics from Discovery to Function
- Single Cell Metabolomics
- Urine Metabolomics
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