MassIVE MSV000082661

Partial Public

GNPS Glasgow Polyomics Metabolite Standards (mainly amino acid, sugar, nucleotide, and TCA cycle metabolism) measured with pHILIC and HILIC gradients

Description

This dataset contains full scan and fragmentation data for pHILIC-MS and HILIC-MS gradients of more than 150 standards run at Glasgow Polyomics for metabolite identification and annotation purposes - separated over 3 batches to accommodate for solubility, co-elution, and isomer effects. Where available, the results of a targeted search for metabolites from the respective standard mixtures were added. Full lists of there three mixtures are also added in the data entry. All relevant chromatography and mass spectrometry details are provided below. Please acknowledge Glasgow Polyomics if you found this metabolite standard data of relevance for your study results. pHILIC and HILIC chromatography used: The samples were analysed using a Thermo Scientific Ultimate 3000 RSLCnano system (Thermo Scientific, CA, USA). The pHILIC separation was performed with a SeQuant ZIC-pHILIC column (150 x 4.6 mm, 5 microm) equipped with the corresponding pre-column (Merck KGaA, Darmstadt, Germany) - the column temperature was maintained at 25 C. A linear biphasic LC gradient was conducted from 80% B to 20% B over 15 min, followed by a 2 min wash with 5% B, and 8 min re-equilibration with 80% B, where solvent B is acetonitrile and solvent A is 20 mM ammonium carbonate in water. The flow rate was 300 microL/min, column temperature was held at 25 C, injection volume was 10 microL, and samples were maintained at 4 C in the autosampler. HILIC chromatography was as above but with a same sized ZIC-HILIC column and a linear gradient from 80% B to 20% B over 30 min, followed by an 8 min wash with 5% B, and 8 min re-equilibration with 80% B, where solvent B is 0.08% formic acid in acetonitrile and solvent A is 0.1% formic acid in water. MS equipment and settings used: The LC system was coupled to a Thermo Scientific Q-Exactive Orbitrap mass spectrometer equipped with a HESI II interface (Thermo Scientific, Hemel Hempstead, UK). The set up was calibrated (Thermo calmix) in both ionization modes and tuned for the lower m/z range before analysis. Full scan (MS1) data was acquired in positive and negative switching mode in profile mode at 35,000 resolution (at m/z 200) using 1 microscan, an AGC target of 106 cts, a maximum injection time of 250 ms, with spray voltages +3.8 and -3.0 kV, capillary temperature 320 C, heater temperature of 150 C, sheath gas flow rate 40 a.u., auxiliary gas flow rate 5 a.u., sweep gas flow rate 5 a.u, a full scan mass window of 70-1050 m/z, and using m/z 74.0964 (+) and m/z 112.98563 (-) as locking masses. Fragmentation data (LC-MS/MS) was obtained in positive and negative ionization combined and separate fragmentation modes as described in (van der Hooft et al 2016). Briefly, for separate mode, a duty cycle consisted of one full scan (MS1) event and one Top5 (or Top10) MS/MS (MS2) fragmentation event, with full scan (MS1) resolution (at m/z 200) was set to 70,000, the AGC target set to 1 x 106, and the maximum injection time set to 120 ms. MS/MS (MS2) resolution (at m/z 200) was set to 17,500, the AGC target set to 2 x 105, MS/MS maximum injection time was set to 80 ms and the underfill ratio was set to 10 %, with a resulting intensity threshold of 2.5 × 105 cts. For combined mode, a duty cycle consisted of two of the above events in positive and negative ionization mode with the following modifications: full scan (MS1) resolution (at m/z 200) was set to 35,000, MS/MS resolution was set to 35,000, the AGC target was set to 1 x 105, and the maximum MS/MS filling time was set to 120 ms with an underfill ratio of 20%, resulting in an intensity threshold of 1.7 x 105. Further settings were as specified for full scan analysis above. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Metabolite Standards ; Reference Compounds ; Amino acids ; Sugars ; TCA cycle intermediates ; pHILIC ; HILIC

Contact

Principal Investigators:
(in alphabetical order)
Justin van der Hooft, Wageningen University, The Netherlands
Submitting User: jjjvanderhooft
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GNPS content goes here (MSV000082661 [task=45adf215803f4eac9d483f6f573d0ad7])
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Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.