Return to study ST002112 main page

MB Sample ID: SA251579

Local Sample ID:76
Subject ID:SU002601
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Gender:Male and female

Select appropriate tab below to view additional metadata details:


Combined analysis:

Analysis ID AN004115 AN004116 AN004117 AN004118
Analysis type MS MS MS MS
Chromatography type HILIC HILIC Reversed phase Reversed phase
Chromatography system Thermo Vanquish Thermo Vanquish Thermo Dionex Ultimate 3000 RS Thermo Dionex Ultimate 3000 RS
Column SeQuant ZIC-HILIC (100 x 2.1mm, 3.5um) SeQuant ZIC-HILIC (100 x 2.1mm, 3.5um) Agilent Zorbax SBaq (2.1 x 50 mm, 1.8 um) Agilent Zorbax SBaq (2.1 x 50 mm, 1.8 um)
MS Type ESI ESI ESI ESI
MS instrument type Orbitrap Orbitrap Orbitrap Orbitrap
MS instrument name Thermo Q Exactive Plus Orbitrap Thermo Q Exactive Plus Orbitrap Thermo Q Exactive Orbitrap Thermo Q Exactive Orbitrap
Ion Mode POSITIVE NEGATIVE POSITIVE NEGATIVE
Units Area Area Area Area

MS:

MS ID:MS003862
Analysis ID:AN004115
Instrument Name:Thermo Q Exactive Plus Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Raw data were imported into Progenesis QI 2.3 software (Water, Milford, MA, USA) to align and quantify chromatographic peaks. Data from all 4 acquisition modes (HILIC positive, HILIC negative, RPLC positive, RPLC negative) were processed independently. Using in house R code, we 1) removed noise, 2) imputed data and 3) adjusted for MS drift with time using the LOESS normalization method on pooled QCs injected every 10 injections in the sequence. We used MetID and our MS/MS data to identify 12740 metabolites with confidence levels ranging from 1-3, where 1 matches MS/MS, retention time and m/z from standards on our platform (843 metabolites), 2 has MS/MS and m/z matches from a database (395 metabolites), and 3 matches the m/z of a database (11,502).
Ion Mode:POSITIVE
  
MS ID:MS003863
Analysis ID:AN004116
Instrument Name:Thermo Q Exactive Plus Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Raw data were imported into Progenesis QI 2.3 software (Water, Milford, MA, USA) to align and quantify chromatographic peaks. Data from all 4 acquisition modes (HILIC positive, HILIC negative, RPLC positive, RPLC negative) were processed independently. Using in house R code, we 1) removed noise, 2) imputed data and 3) adjusted for MS drift with time using the LOESS normalization method on pooled QCs injected every 10 injections in the sequence. We used MetID and our MS/MS data to identify 12740 metabolites with confidence levels ranging from 1-3, where 1 matches MS/MS, retention time and m/z from standards on our platform (843 metabolites), 2 has MS/MS and m/z matches from a database (395 metabolites), and 3 matches the m/z of a database (11,502).
Ion Mode:NEGATIVE
  
MS ID:MS003864
Analysis ID:AN004117
Instrument Name:Thermo Q Exactive Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Raw data were imported into Progenesis QI 2.3 software (Water, Milford, MA, USA) to align and quantify chromatographic peaks. Data from all 4 acquisition modes (HILIC positive, HILIC negative, RPLC positive, RPLC negative) were processed independently. Using in house R code, we 1) removed noise, 2) imputed data and 3) adjusted for MS drift with time using the LOESS normalization method on pooled QCs injected every 10 injections in the sequence. We used MetID and our MS/MS data to identify 12740 metabolites with confidence levels ranging from 1-3, where 1 matches MS/MS, retention time and m/z from standards on our platform (843 metabolites), 2 has MS/MS and m/z matches from a database (395 metabolites), and 3 matches the m/z of a database (11,502).
Ion Mode:POSITIVE
  
MS ID:MS003865
Analysis ID:AN004118
Instrument Name:Thermo Q Exactive Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Raw data were imported into Progenesis QI 2.3 software (Water, Milford, MA, USA) to align and quantify chromatographic peaks. Data from all 4 acquisition modes (HILIC positive, HILIC negative, RPLC positive, RPLC negative) were processed independently. Using in house R code, we 1) removed noise, 2) imputed data and 3) adjusted for MS drift with time using the LOESS normalization method on pooled QCs injected every 10 injections in the sequence. We used MetID and our MS/MS data to identify 12740 metabolites with confidence levels ranging from 1-3, where 1 matches MS/MS, retention time and m/z from standards on our platform (843 metabolites), 2 has MS/MS and m/z matches from a database (395 metabolites), and 3 matches the m/z of a database (11,502).
Ion Mode:NEGATIVE
  logo