The metabolome is the final manifestation of biochemical pathways. It shows an extremely large variety of structural classes as it includes the complete set of metabolites of all cellular processes.
Temporal and spatial changes in the metabolite composition reflect the outcome (phenotype) of interactions at the genomic, transcriptomic and proteomic level. Therefore, studying the phenome is a cornerstone to gaining deeper insights related to e.g. diseases, therapeutic interventions or environmental influences.
The aim of untargeted metabolomics is the global profiling of small molecule biomarkers that are characteristic for a particular physiological state. A major requirement is to quickly pinpoint and identify those compounds that change as a result of perturbation or disease.
Together with Bruker Compass® TASQ™ 2.0 software, both targeted validation and untargeted metabolomics experiments are supported. Double your level of insight by performing biochemical pathway-driven targeted analysis on the same data set.
Powerful T-ReX (Time aligned Region complete eXtraction) algorithm for feature extraction
MetaboScape 4.0 is able to process complementary data from Bruker's LC-QTOF-MS/MS, GC-APCI-QTOF, LC-TIMS-MS and MRMS systems:
Spectral libraries for de-replication of known compounds
Using the new releases of the Bruker HMDB Metabolite Library 2.0, the MetaboBASE Personal Library 2.0 or the MetaboBASE Plant Library, confidence in the de-replication of known compounds can be boosted.
Identification of unknown compounds
Analytes that were selected for further evaluation in an untargeted metabolomics approach can be seamlessly annotated via automated formula generation and MetFrag in-silico fragmentation of structure candidates. The results can be set into a biological context via pathway mapping.
Additional new features of MetaboScape 4.0:
The chromatography free MRMS workflow provides higher sample throughput by omitting time-consuming chromatography in phenomics research. Compounds are accessible that are not readily detectable by LC-MS analysis, allowing targeted and untargeted metabolomics approaches. The data extraction by T-ReX 2D in MetaboScape provides confidence in automatic annotation of the FIA MRMS data. The novel scimaX MRMS system can show its extreme performance with mass resolutions of >1 million and mass accuracies of <0.2 ppm. The isotopic fidelity enables you to use the fine structures of ions. This adds another layer of confidence for compound ID in untargeted metabolomics.