Summary of Study ST001201
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
| Study ID | ST001201 |
| Study Title | Peroxide antimalarial treatment timecourse on trophozoite-stage P. falciparum parasites |
| Study Summary | Red blood cells (RBCs) infected with trophozoite stage P. falciparum parasites (3D7 strain) at 10% parasitaemia and 2% haematocrit were treated with OZ277 (300 nM), OZ439 (300 nM), DHA (100 nM) or vehicle (0.03% DMSO). This was a 4-timepoint study, with samples taken 0, 0.5, 1.5 and 3 h after drug or vehicle addition. Samples treated with vehicle acted as the untreated control. Samples from drug treated uninfected RBCs were also taken to ensure the observed drug effects were parasite specific. |
| Institute | Monash University |
| Last Name | Giannangelo |
| First Name | Carlo |
| Address | 381 Royal Parade, Parkville, Victoria, 3052, Australia |
| carlo.giannangelo@monash.edu | |
| Phone | 99039282 |
| Submit Date | 2019-06-19 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2019-07-17 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN001998 | AN001999 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | HILIC | HILIC |
| 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: | MS001851 |
| Analysis ID: | AN001998 |
| 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. 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: | MS001852 |
| Analysis ID: | AN001999 |
| 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. 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 |
