App Note: How potato fights its enemies, 02-2019
Unsupervised MS/MS similarity metabolite profiling reveals novel defense-related metabolites in potato. Solanum tuberosum (potato) wildtype and overexpression lines with an enhanced Phytophtora infestans resistance (1) were analysed for their metabolic response to simulated herbivory.
Unsupervised MS/MS similarity metabolite profiling reveals novel defense-related metabolites in potato. Solanum tuberosum (potato) wildtype and overexpression lines with an enhanced Phytophtora infestans resistance (1) were analysed for their metabolic response to simulated herbivory.
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Brochure: Poster Hall Metabolomics Edition III, 06-2016
The metabolomics is the final manifestation of the biochemical pathways that govern life. Ultimately, temporal and spatial changes in the identitiy and levels of thousands of metabolites reflect the final outcome of interactions at the genomic, transcriptomic, proteomic and all other omic levels that have emerged in our exploration and continuous adaptation...
The metabolomics is the final manifestation of the biochemical pathways that govern life. Ultimately, temporal and spatial changes in the identitiy and levels of thousands of metabolites reflect the final outcome of interactions at the genomic, transcriptomic, proteomic and all other omic levels that have emerged in our exploration and continuous adaptation of the Central Dogma of Biology.
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Poster Note: Boosting compound identification confidence, 07-2016
Boosting compound identification confidence by exploiting all HRAM spectral information integrating accurate mass, true isotopic pattern, in-source fragmentation, MS/MS fragmentation, and retention time.
Confident compound identification is still a major bottleneck in metabolomics. While there are ongoing efforts to refine the definitions and levels of...
Boosting compound identification confidence by exploiting all HRAM spectral information integrating accurate mass, true isotopic pattern, in-source fragmentation, MS/MS fragmentation, and retention time.
Confident compound identification is still a major bottleneck in metabolomics. While there are ongoing efforts to refine the definitions and levels of metabolite identifications that were first proposed by the MSI initiative (1-4), it is clear that higher levels of confidence can be reached by joining accurate measurement technology, orthogonal molecular features, and sophisticated software tools.
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