Sacurine dataset

Objective: influence of age, body mass index, and gender on the urine metabolome

Cohort: 183 employees from CEA

LC-HRMS: LTQ-Orbitrap (negative ionization mode)

Reference workflow: W4M00001

Citations:

  • Thévenot et al. (2015). Analysis of the human adult urinary metabolome variations with age, body mass index and gender by implementing a comprehensive workflow for univariate and OPLS statistical analyses. Journal of Proteome Research, 14:3322-3335. http://dx.doi.org/10.1021/acs.jproteome.5b00354

1) Meta data: (sampling: urine were collected during 9 weeks over a 5 month period; osmolality: mOsm/L; body mass index: kg/m2)

2) Data subset (6 blanks + 10 QCs + 20 samples = 36 files):

3) Full dataset (2 batches; 24 blanks + 26 QCs + 190 samples = 240 files):