Summary of study ST001205

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000809. The data can be accessed directly via it's Project DOI: 10.21228/M83X38 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  |  Download all metabolite data  |  Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data (Contains raw data)
Study IDST001205
Study TitlePeroxide antimalarial treatment of K13-mutant and -wildtype P. falciparum parasites
Study SummaryRed blood cells (RBCs) infected with trophozoite stage P. falciparum parasites (Cam3.IIR539T or Cam3.IIrev lines) at 4% parasitaemia and 2% haematocrit were treated with 100 nM of DHA, OZ277 or OZ439 for a duration of 1, 3 and 5 h, respectively. The K13-mutant artemisinin resistant parasite line used was Cam3.IIR539T. The K13-wildtype artemisinin sensitive parasite line used was Cam3.IIrev. The Samples treated with vehicle (DMSO) acted as the untreated control.
Institute
Monash University
Last NameGiannangelo
First NameCarlo
Address381 Royal Parade, Parkville, Victoria, 3052, Australia
Emailcarlo.giannangelo@monash.edu
Phone99039282
Submit Date2019-06-26
Raw Data AvailableYes
Raw Data File Type(s).raw
Analysis Type DetailLC-MS
Release Date2019-07-17
Release Version1
Carlo Giannangelo Carlo Giannangelo
https://dx.doi.org/10.21228/M83X38
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Combined analysis:

Analysis ID AN002006 AN002007
Analysis type MS MS
Chromatography type pHILIC pHILIC
Chromatography system Thermo Dionex Ultimate 3000 Thermo Dionex Ultimate 3000
Column SeQuant ZIC- pHILIC (150 x 2.1mm, 5um) SeQuant ZIC- pHILIC (150 x 2.1mm, 5um)
MS Type ESI ESI
MS instrument type Orbitrap Orbitrap
MS instrument name Thermo Q Exactive Orbitrap Thermo Q Exactive Orbitrap
Ion Mode POSITIVE NEGATIVE
Units Peak intensity Peak intensity

MS:

MS ID:MS001859
Analysis ID:AN002006
Instrument Name:Thermo Q Exactive Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Metabolite detection was performed using a high-resolution Q Exactive MS (ThermoFisher) in both positive and negative ionisation modes. The PBQC sample was run periodically throughout each LC-MS batch to monitor signal reproducibility and support downstream metabolite identification. Extraction solvent blank samples were also analysed to identify possible contaminating chemical species. To aid in metabolite identification, approximately 250 authentic metabolite standards were analysed prior to each LC-MS batch and their peaks and retention time manually checked using the ToxID software (ThermoFisher). Metabolomics data were analysed using the IDEOM workflow (Creek et al. 2012). Briefly, the IDEOM processing pipeline uses msconvert for conversion of raw files to mzXML files and split polarity, XCMS to extract raw peak intensities and mzMatch to align samples, filter noise, fill missing peaks and annotate related peaks. Manual assessment of spiked internal standards, total ion chromatograms and median peak heights ensured signal reproducibility and allowed exclusion of outlier samples. LC MS peak heights representing metabolite abundances were normalised by median peak height. High confidence metabolite identification (MSI level 1) was made by matching accurate mass and retention time to authentic metabolite standards. Putative identifications (MSI level 2) for metabolites lacking standards were based on exact mass and predicted retention times.
Ion Mode:POSITIVE
  
MS ID:MS001860
Analysis ID:AN002007
Instrument Name:Thermo Q Exactive Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Metabolite detection was performed using a high-resolution Q Exactive MS (ThermoFisher) in both positive and negative ionisation modes. The PBQC sample was run periodically throughout each LC-MS batch to monitor signal reproducibility and support downstream metabolite identification. Extraction solvent blank samples were also analysed to identify possible contaminating chemical species. To aid in metabolite identification, approximately 250 authentic metabolite standards were analysed prior to each LC-MS batch and their peaks and retention time manually checked using the ToxID software (ThermoFisher). Metabolomics data were analysed using the IDEOM workflow (Creek et al. 2012). Briefly, the IDEOM processing pipeline uses msconvert for conversion of raw files to mzXML files and split polarity, XCMS to extract raw peak intensities and mzMatch to align samples, filter noise, fill missing peaks and annotate related peaks. Manual assessment of spiked internal standards, total ion chromatograms and median peak heights ensured signal reproducibility and allowed exclusion of outlier samples. LC MS peak heights representing metabolite abundances were normalised by median peak height. High confidence metabolite identification (MSI level 1) was made by matching accurate mass and retention time to authentic metabolite standards. Putative identifications (MSI level 2) for metabolites lacking standards were based on exact mass and predicted retention times.
Ion Mode:NEGATIVE
  logo