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7200 gc qtof

Manufactured by Agilent Technologies
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The 7200 GC-QTOF is a high-performance gas chromatography-quadrupole time-of-flight mass spectrometry (GC-QTOF) system designed for accurate mass analysis and identification of compounds. It features a quadrupole time-of-flight mass analyzer that provides high-resolution, accurate mass measurements for reliable compound identification.

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9 protocols using 7200 gc qtof

1

Leaf Metabolite Profiling by GC-MS

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Aliquots of 50–80 mg frozen leaf material were extracted with a mixture of chloroform-methanol-water for analysis of sugars, organic acids and amino acids by gas chromatography-mass-spectrometry (GC-MS) according to Fiehn et al. (2000) (link) using a 7200 GC-QTOF (Agilent, Milford, CT, United States). Peak integration was conducted with MassHunter Software from Agilent. For relative quantification, metabolite peak areas were normalized to the amount of extracted plant material and the peak area of the internal standard ribitol added to the extraction solution.
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2

GC-MS Analysis of Metabolites

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All GC-MS analysis was performed with an Agilent 7200 GC-QTOF and an Agilent 7693A automatic liquid sampler. Dried samples were suspended in 40 µL of a 40 mg/mL O-methoxylamine hydrochloride (MOX) (MP Bio #155405) in dry pyridine (EMD Millipore #PX2012-7) and incubated for 1 hr at 37°C in a sand bath. 25 µL of this solution was added to auto sampler vials. 60 µL of N-methyl-N-trimethylsilyltrifluoracetamide (MSTFA with 1%TMCS, Thermo #TS48913) was added automatically via the auto sampler and incubated for 30 min at 37°C. After incubation, samples were vortexed and 1 µL of the prepared sample was injected into the gas chromatograph inlet in the split mode with the inlet temperature held at 250°C. A 5:1 split ratio was used for analysis for the majority of metabolites. Any metabolites that saturated the instrument at the 5:1 split were analyzed at a 50:1 split ratio. The gas chromatograph had an initial temperature of 60°C for one minute followed by a 10 °C/min ramp to 325°C and a hold time of 10 min. A 30-meter Agilent Zorbax DB-5MS with 10 m Duraguard capillary column was employed for chromatographic separation. Helium was used as the carrier gas at a rate of 1 mL/min. Below is a description of the two-step derivatization process used to convert non-volatile metabolites to a volatile form amenable to GC-MS. Pyruvic acid is used here as an example.
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3

Metabolite Extraction and GC-MS Analysis

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Metabolites were extracted using 105 µL chloroform and 245 µL methanol. After incubation for 1 h at −20 °C we added 560 µL HPLC grade water twice. The samples were centrifuged for two minutes at high speed in a table top centrifuge at 4 °C and the aqueous phases were collected for the GC-MS measurements (in total about 1.3 mL).
For the metabolite analysis a gas chromatography – mass spectrometry (GC-MS) system (7200 GC-QTOF from Agilent) was used as described in53 (link). The data were analyzed with the Mass Hunter Software (Agilent). For absolute quantifications, we used five different dilutions of the standard mix (resulting in effective metabolite concentrations: 1 µM, 5 µM, 10 µM, 15 µM and 20 µM; Fig. S3) and calculated for each metabolite a standard curve which we used to determine the amount of the respective metabolite in our samples.
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4

Leaf Metabolite Analysis by GC-MS

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The homogenized leaf material was extracted for metabolite analysis by gas chromatography-mass spectrometry (GC-MS) according to Fiehn et al. (2000) using a 7200 GC-QTOF (Agilent, Santa Clara, USA). Data analysis was conducted with the Mass Hunter Software (Agilent, Santa Clara, USA). For relative quantification, all metabolite peak areas were normalized to the peak area of an internal standard of ribitol added prior to extraction. The same homogenised leaf material was used for determination of δ13C and CN ratios. After lyophilisation, the material was analysed using an Isoprime 100 isotope ratio mass spectrometer coupled to an ISOTOPE cube elemental analyzer (both from Elementar, Hanau, Germany) according to Gowik et al. (2011) (link). Measurements were always done on ten biological replicates. Statistical significance was analysed using Student’s t-test.
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5

GC-QTOF Metabolite Identification Protocol

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After protein precipitation, samples were mixed and incubated at 4ºC for 10 min, centrifuged at 15,000 rpm and the supernatant was evaporated to dryness before derivatization. Samples were analyzed on a 7200 GC-QTOF from Agilent Technologies (Sta. Clara, CA, USA). Chromatographic separation was based on Fiehn Method, using a J&W Scientific HP5-MS. Ionization was performed by electronic impact and the mass analyzer was operated in full scan mode [21 (link)].
Targeted compounds were identified using pure standards, when available, with a mass accuracy of 20 ppm. The internal standards were used to correct signal response. Chromatographic peaks were deconvoluted using Unknowns Analysis software (version B.09.00, from Agilent) based on the exact mass. For compounds without a commercial standard, the tentative identification was made by comparing the mass spectra and retention time with the Fiehn 2013 Mass Spectral RTL Library and the National Institute of Standards and Technology (NIST) library 11 (2014) libraries also using the Unknowns software. After direct (with pure standards) or putative (with library) identification of metabolites, these were semiquantified in terms of internal standard response ratio.
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6

Metabolomic Identification by GC-qTOF

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Detailed information about the analytical method for metabolomic identification can be found in the Supplementary Methods. Samples were analysed on a 7200 GC-qTOF from Agilent Technologies (Santa Clara, CA, USA). The chromatographic separation was based on the Fiehn method.18 (link) Targeted compounds were identified using pure standards with a mass accuracy of 20 ppm and different internal standards were used to correct signal response. Chromatographic peaks were deconvoluted using Unknowns Analysis software (version B.09.00, from Agilent) based on the exact mass. Identification of compounds was tentatively made by comparing the mass spectra and retention time of all detected compounds with the Fiehn 2013 Mass Spectral RTL Library and the National Institute of Standards and Technology (NIST) library 11 (2014) also using the Unknowns software. The identity of the main compounds was confirmed with commercial pure standards. After direct (with pure standards) or putative (with a library) identification of metabolites, these were semiquantified in terms of internal standard response ratio. For this relative quantification, the area of specific fragments for each metabolite was divided by the area of its specific internal standard to provide a reliable, accurate and reproducible relative concentration of metabolites.
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7

Metabolite Profiling of Plant Leaves

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Aliquots of 50–80 mg frozen leaf material were extracted with a mixture of chloroform-methanol-water for analysis of sugars, organic acids and amino acids by gas chromatography-mass-spectrometry (GC-MS) according to Fiehn et al. (2000) (link), using a 7200 GC-QTOF (Agilent, Milford, CT, United States). Peak integration was conducted with MassHunter Software from Agilent. For relative quantification, metabolite peak areas were normalized to the amount of extracted plant material and the peak area of the internal standard ribitol added to the extraction solution.
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8

Metabolite Profiling by GC-QTOF MS

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All gas chromatography-mass spectrometry (GC-MS) analysis was performed with an Agilent 7200 GC-QTOF and an Agilent 7693A automatic liquid sampler. Dried samples were suspended in 40 μL of a 40 mg/mL O-methoxylamine hydrochloride (MOX) (MP Bio) in dry pyridine (EMD Millipore) and incubated for one hour at 37°C in a sand bath. 25 μL of this solution was added to auto sampler vials followed by the automatic addition of 60 μL of N-methyl-N-trimethylsilyltrifluoracetamide (MSTFA with 1%TMCS, Thermo) and incubated for 30 min at 37°C. Following incubation, each sample were vortexed and 1 μL of the prepared sample was injected into the GC inlet in the split mode with the inlet temperature held at 250°C. A 10:1 split ratio was used for analysis for the majority of metabolites. Any metabolites that saturated the instrument at the 10:1 split was analyzed at a 50:1 split ratio. The GC had an initial temperature of 60°C for one minute followed by a 10°C/min ramp to 325°C and a hold time of 10 min. A 30-meter Agilent Zorbax DB-5MS with 10 m Duraguard capillary column was employed for chromatographic separation. Helium was used as the carrier gas at a rate of 1 mL/min.
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9

GC-MS Metabolomics Analysis of Cardiac Samples

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The method of metabolomics analysis has been described previously (37 (link)). Briefly, gas chromatography/mass spectrometry–based (GC/MS-based) metabolomics analysis was performed using ventricular tissue samples (~15 mg) harvested from control and YAPch-KO mice 2 days after sham operation or TAC or using NRVMs (1 × 107 cells/10 cm dish) transduced with Ad-LacZ or Ad-FLAG-YAP for 5 days. All GC/MS analyses were performed with an Agilent 7200 GC-QTOF and an Agilent 7693A automatic liquid sampler. Data were collected using MassHunter software (Agilent Technologies). Metabolites were identified and their peak areas were recorded using Agilent’s MassHunter Quant. Metabolite identity was established using a combination of an in-house metabolite library developed using pure purchased standards, the National Institute of Standards and Technology (NIST) library, and the Fiehn library. The values were normalized to wet tissue weight. Analysis of the metabolomics data was carried out using MetaboAnalyst 5.0 software, including the generation of a heatmap.
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