7 Works

W4M00007_Coffea-leaves

Cédric Delporte & Florence Souard
Study: Characterization of the coffee leaves metabolome composition in 9 species of Coffea (Rubiaceae) collected at 5 dates in 2016 (January – March - July- September – December) after aqueous extraction. A total of 169 samples (including 147 individual samples, 8 blanks and 14 QC pools) were analysed by reversed-phase (C18) liquid chromatography (LCMS) coupled to high-resolution mass. Dataset: In this study, a metabolomics analysis was conducted on 9 species of Coffea leaves using LC-HRMS...

W4M00006_BPA-MMusculus

Marie Tremblay-Franco
Study: Metabolic shifts induced in vivo after perinatal exposure to low doses of BPA in CD-1 mice were assessed. In this study conducted by the ToxAlim-MeX team and the Tufts University school of medicine (Boston, MA, USA) in collaboration with the AXIOM-MetaToul-MetaboHUB platform, aqueous brain extracts from twenty-four 21-day-old pups whose mothers were exposed to either 0.025µg or 0.25µg BPA/kg BW/day during gestation and lactation were analyzed by NMR Spectroscopy. Dataset: The dataset contains 24...

W4M00004_GCMS-Algae

Yann Guitton & Sophie Goulitquer
Study: Characterization of the physiological variations of the metabolome in algae exposed to 3 different abiotic stress (salt concentration). Dataset: The dataset contains 12 mzXML files created from Agilent RAW GC-MS file. 4 replicats per conditions: i) Condition 01: Fresh water strain in 1.6 ppt NaCl; ii) Condition 02: Fresh water strain in 32 ppt NaCl; iii) Condition 03: Sea water strain in 32 ppt NaCl. Workflow: The workflow consists of the following steps: preprocessing...

W4M00003_Diaplasma

Etienne Thévenot & Philippe Rinaudo
Study: Identification of metabolomics signatures for patient stratification between type 1 versus type 2 diabetes mellitus. Dataset: plasma samples from 69 diabetic patients were analyzed by reversed phase (C18) ultra-high performance liquid chromatography (UPLC) coupled to high-resolution mass spectrometry (Orbitrap Exactive). Age and body mass index (BMI) of patients are also provided as sample metadata since type 2 patients from this cohort are significantly older and with a higher BMI. The peak table contains 5,501...

W4M00002_Sacurine-comprehensive

Etienne Thévenot
Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. In this study conducted by the MetaboHUB French Infrastructure for Metabolomics, urine samples from 184 volunteers were analyzed by reversed-phase (C18) ultrahigh performance liquid chromatography (UPLC) coupled to high-resolution mass spectrometry (LTQ-Orbitrap). Dataset: The dataset contains 234 mzML files from the negative ionization mode, corresponding to...

W4M00001_Sacurine-statistics

Etienne Thévenot
Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. Dataset: In this study conducted by the MetaboHUB French Infrastructure for Metabolomics, urine samples from 184 volunteers were analyzed by reversed-phase (C18) ultrahigh performance liquid chromatography (UPLC) coupled to high-resolution mass spectrometry (LTQ-Orbitrap). A total of 258 metabolites were identified at confidence levels provided by the...

W4M00005_Ractopamine-Pig

Yann Guitton
Study: Characterization of the physiological variations induced by ractopamine ingestion in pigs. Dataset: The dataset contains 164 mzXML files created from Q-Exactive (*.raw) files. 124 samples and 40 QCs injected in 4 batches. Design: 2 Classes (Treated, Controls) from serum collected at day 3, 9, 16, 18, 23, 29 with for each sample 2 extraction procedure (M and MW): QCs with 40 files, pool of every samples extracts M + MW, Controls with Extraction M...

Resource Types

  • Workflow
    7

Publication Year

  • 2017
    1
  • 2016
    3
  • 2015
    3

Registration Year

  • 2017
    1
  • 2016
    6

Data Centers

  • Institut National de Recherche Agronomique
    7