A detailed report will be provided at the end of the whole project, including the experiment procedure, MS/MS instrument parameter, raw data and data reports with figures, ready to be published.
Creative Proteomics uses Progenesis QI (Waters) and LipidSearch (Thermo) and MS DIAL for our Lipidomics Statistics.
Progenesis QI (Waters)
Fig1. The protocol workflow of lipidomics statistics (Creative Proteomics)
Peak extraction, peak alignment, standardized analysis of the original data, through the original base peak ion chromatogram, preliminary observation of the number and type of substances measured by the instrument, and whether the chromatograms between different groups have obvious differences.
Principal component analysis of samples can generally reflect the overall metabolic differences between samples in each group and the degree of variability between samples within the group.
To eliminate noise information that is not related to classification, and also to obtain related metabolite information that causes significant differences between the two groups, we use OPLS-DA to filter signals that are not related to model classification.
O2PLS is a generalization of PLS and OPLS. In contrast to PLS and OPLS, it is bidirectional, i.e. X ↔ Y; Therefore X can be used to predict Y, and Y can be used to predict X. O2PLS allows the partitioning of the systematic variability in X and Y into three parts: the X/Y joint predictive variation; the Y-orthogonal variation in X; and the Xunrelated variation in Y.
Use existing data to build models and make predictions on new samples.
All differential metabolite expression values are first subjected to logarithmic transformation to draw a heat map.
If you have any questions about our lipidomics services, please contact us.