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MB Sample ID: SA344711
Local Sample ID: | POS_256 |
Subject ID: | SU003296 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
Analysis ID | AN005215 | AN005216 |
---|---|---|
Analysis type | MS | MS |
Chromatography type | HILIC | HILIC |
Chromatography system | SCIEX ExionLC UHPLC | SCIEX ExionLC UHPLC |
Column | Waters ACQUITY UPLC BEH Amide (100 x 2.1mm,1.7um) | Waters ACQUITY UPLC BEH Amide (100 x 2.1mm,1.7um) |
MS Type | ESI | ESI |
MS instrument type | Triple quadrupole | Triple quadrupole |
MS instrument name | ABI SCIEX Triple Quad 5500+ LC-MS/MS | ABI SCIEX Triple Quad 5500+ LC-MS/MS |
Ion Mode | POSITIVE | NEGATIVE |
Units | peak area | Peak area |
MS:
MS ID: | MS004948 |
Analysis ID: | AN005215 |
Instrument Name: | ABI SCIEX Triple Quad 5500+ LC-MS/MS |
Instrument Type: | Triple quadrupole |
MS Type: | ESI |
MS Comments: | Within each batch, normalization was performed by dividing the level of each metabolite by the average value of the first and last QC samples in that batch. Subsequently, a cross-sample total sum correction was conducted for all metabolites. Then, the data was mean-centered and divided by the standard deviation of each variable for standardization. Finally, a log10 transformation was applied to the data. We further removed metabolites with a coefficient of variation (CV) greater than 0.35 and any metabolites with more than 50% missing values within any group (RA, at-risk of RA, and Health). For analyses intolerant to missing data, any missing values are substituted with 1/5 of the minimum positive value of their corresponding variables. |
Ion Mode: | POSITIVE |
MS ID: | MS004949 |
Analysis ID: | AN005216 |
Instrument Name: | ABI SCIEX Triple Quad 5500+ LC-MS/MS |
Instrument Type: | Triple quadrupole |
MS Type: | ESI |
MS Comments: | Within each batch, normalization was performed by dividing the level of each metabolite by the average value of the first and last QC samples in that batch. Subsequently, a cross-sample total sum correction was conducted for all metabolites. Then, the data was mean-centered and divided by the standard deviation of each variable for standardization. Finally, a log10 transformation was applied to the data. We further removed metabolites with a coefficient of variation (CV) greater than 0.35 and any metabolites with more than 50% missing values within any group (RA, at-risk of RA, and Health). For analyses intolerant to missing data, any missing values are substituted with 1/5 of the minimum positive value of their corresponding variables. |
Ion Mode: | NEGATIVE |