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MB Sample ID: SA128467
| Local Sample ID: | S7 |
| Subject ID: | SU001599 |
| Subject Type: | Mammal |
| Subject Species: | Mus musculus |
| Taxonomy ID: | 10090 |
| Genotype Strain: | C57BL/6 |
| Age Or Age Range: | 8 weeks |
| Gender: | Male and female |
| Animal Animal Supplier: | Jackson Labs (Bar Harbor, ME USA) |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN002546 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | Thermo-Fisher LTQ Orbitrap Elite |
| Column | Bruker Micron Magic nanoC18 (130mm X 100um,5um) |
| MS Type | ESI |
| MS instrument type | Orbitrap |
| MS instrument name | Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap |
| Ion Mode | POSITIVE |
| Units | Normalized Peak Height |
MS:
| MS ID: | MS002364 |
| Analysis ID: | AN002546 |
| Instrument Name: | Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | Lipid structures were identified based on the retention time and subsequent MS/MS spectra. Essentially, we determined structural information through LC-MS/MS and normalization of available lipid standards using LipidMatch. First, lipidomics data processed lipid features using MZmine as described in (Koelmel et al. 2017). Features observed in the blanks were removed using the blank feature filtration method (Patterson et al. 2017). The blank feature filtration method compared to various other filtering methods has been shown to increase the removal of true negatives while decreasing the removal of true positives (Patterson et al. 2017). The resulting MZmine features were annotated using LipidMatch (Koelmel et al. 2017). These annotations are putative, as annotations are based on in-silico MS/MS spectral libraries without matching internal standards for validation and without confirmation using orthogonal approaches (Sumner et al. 2007). The lipid match program then provided a single point calibration using exogenous lipid internal calibrant that best represents the lipid feature (based on lipid class, adduct and retention time). An R script was applied that combined multiple lipid features (adducts) into one feature 4 representing a unique lipid molecule. All open source lipidomics tools are published and available at http://secim.ufl.edu/ secim-tools/. |
| Ion Mode: | POSITIVE |
