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MB Sample ID: SA198310
| Local Sample ID: | 20181221_hProdh2_OE_1_M62 |
| Subject ID: | SU002169 |
| Subject Type: | Cultured cells |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003402 | AN003403 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | HILIC | HILIC |
| Chromatography system | Agilent 6490 | Agilent 6550 |
| Column | Phenomenex Kinetex C18 (150 x 2.1mm,2.6um) | Phenomenex Kinetex C18 (150 x 2.1mm,2.6um) |
| MS Type | ESI | ESI |
| MS instrument type | Triple quadrupole | QTOF |
| MS instrument name | Agilent 6490 QQQ | Agilent 6550 QTOF |
| Ion Mode | POSITIVE | POSITIVE |
| Units | ppm | ppm |
MS:
| MS ID: | MS003169 |
| Analysis ID: | AN003402 |
| Instrument Name: | Agilent 6490 QQQ |
| Instrument Type: | Triple quadrupole |
| MS Type: | ESI |
| MS Comments: | Two metabolomics strategies were adopted, i.e. untargeted metabolomics (aiming to unbiasedly detect all detectable metabolites) and targeted approaches (aiming to detect specifically defined metabolites, such as related metabolites in the proline metabolism and T cell metabolism). For untargeted metabolomics analysis, the optimized workflow consists of automated peak detection and integration, peak alignment, background noise subtraction, and multivariate data analysis. These steps were carried out for comprehensive metabolite phenotyping of the two groups using Agilent Mass Hunter Qualitative Analysis Software (Version B.07.0.0, build 7.0.7024.0) and Agilent Mass Profiler Professional (Version 14.5-Build 2772). The metabolites were first putatively identified based on accurate mass match (accurate mass ± 30 ppm error) and fragmentation pattern match. Putative structural annotation was carried out by searching the metabolite databases HMDB (http://www.hmdb.ca/) and METLIN (http:// metlin.scripps.edu) using the mass-to-charge ratio of the metabolic features. |
| Ion Mode: | POSITIVE |
| MS ID: | MS003170 |
| Analysis ID: | AN003403 |
| Instrument Name: | Agilent 6550 QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Two metabolomics strategies were adopted, i.e. untargeted metabolomics (aiming to unbiasedly detect all detectable metabolites) and targeted approaches (aiming to detect specifically defined metabolites, such as related metabolites in the proline metabolism and T cell metabolism). For untargeted metabolomics analysis, the optimized workflow consists of automated peak detection and integration, peak alignment, background noise subtraction, and multivariate data analysis. These steps were carried out for comprehensive metabolite phenotyping of the two groups using Agilent Mass Hunter Qualitative Analysis Software (Version B.07.0.0, build 7.0.7024.0) and Agilent Mass Profiler Professional (Version 14.5-Build 2772). The metabolites were first putatively identified based on accurate mass match (accurate mass ± 30 ppm error) and fragmentation pattern match. Putative structural annotation was carried out by searching the metabolite databases HMDB (http://www.hmdb.ca/) and METLIN (http:// metlin.scripps.edu) using the mass-to-charge ratio of the metabolic features. |
| Ion Mode: | POSITIVE |
