Summary of Study ST002199
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 PR001402. The data can be accessed directly via it's Project DOI: 10.21228/M8H42P This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST002199 |
Study Title | FOXA2 controls the anti-oxidant response in FH-deficient cells independent of NRF2 |
Study Summary | Hereditary Leiomyomatosis and renal cell cancer is caused by fumarate hydratase loss of heterozygosity and subsequence accumulation of fumarate. Fumarate is known to activate the anti-oxidant response and is key for cellular survival. Fumarate succinates KEAP1 which releases NRF2 to activate the antioxidant response. The role of fumarate on the global regulatory chromatin landscape is less understood. Here, by integrating chromatin accessibility and histone ChIP-seq profiles, we identify complex transcription factor networks involved in the highly remodelled chromatin landscape of FH-deficient cells. We implicate FOXA2 in the maintenance of FH-deficient cells by regulating anti-oxidant response genes and subsequent metabolic output, independent of NRF2. These results identify new redox and amino acid metabolism regulators and provide new avenues for therapeutic intervention. |
Institute | CECAD Research Center |
Last Name | Yang |
First Name | Ming |
Address | Joseph-Stelzmann-Straße 26, Köln, Koeln, 50931, Germany |
ming.yang@uni-koeln.de | |
Phone | 4922147884306 |
Submit Date | 2022-06-01 |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Thermo) |
Analysis Type Detail | LC-MS |
Release Date | 2022-07-14 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
Analysis ID | AN003599 |
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Analysis type | MS |
Chromatography type | HILIC |
Chromatography system | Thermo Vanquish Horizon |
Column | SeQuant ZIC-pHILIC |
MS Type | ESI |
MS instrument type | Orbitrap |
MS instrument name | Thermo Exploris 240 |
Ion Mode | UNSPECIFIED |
Units | peak area |
MS:
MS ID: | MS003354 |
Analysis ID: | AN003599 |
Instrument Name: | Thermo Exploris 240 |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Metabolites were measured with Vanquish Horizon UHPLC coupled to an Orbitrap Exploris 240 mass spectrometer (both Thermo Fisher Scientific) via a heated electrospray ionization source. The spray voltages were set to +3.5kV/-2.8 kV, RF lens value at 70, the heated capillary held at 320 °C, and the auxiliary gas heater held at 280 °C. The flow rate for sheath gas, aux gas and sweep gas were set to 40, 15 and 0, respectively. For MS1 scans, mass range was set to m/z=70-900, AGC target set to standard and maximum injection time (IT) set to auto. Data acquisition for experimental samples used full scan mode with polarity switching at an Orbitrap resolution of 120000. Data acquisition for untargeted metabolite identification was performed using the AcquireX Deep Scan workflow, an iterative data-dependent acquisition (DDA) strategy using multiple injections of the pooled sample. In brief, sample was first injected in full scan-only mode in single polarity to create an automated inclusion list. MS2 acquisition was then carried out in triplicate, where ions on the inclusion list were prioritized for fragmentation in each run, after which both the exclusion and inclusion lists were updated in a manner where fragmented ions from the inclusion list were moved to exclusion list for the next run. DDA full scan-ddMS2 method for AcquireX workflow used the following parameters: full scan resolution was set to 60000, fragmentation resolution to 30000, fragmentation intensity threshold to 5.0e3. Dynamic exclusion was enabled after 1 time and exclusion duration was 10s. Mass tolerance was set to 5ppm. Isolation window was set to 1.2 m/z. Normalized HCD collision energies were set to stepped mode with values at 30, 50, 150. Fragmentation scan range was set to auto, AGC target at standard and max IT at auto. Xcalibur AcquireX method modification was on. Mild trapping was enabled. Metabolite identification was performed in the Compound Discoverer software (v 3.2, Thermo Fisher Scientific). Metabolites were annotated at the MS2 level using both an in-house mzVault spectral database curated from 1051 authentic compound standards and the online spectral library mzCloud. The precursor mass tolerance was set to 5 ppm and fragment mass tolerance set to 10 ppm. Only metabolites with mzVault or mzCloud best match score above 50% and 75%, respectively, and RT tolerance within 0.5 min to that of a purified standard run with the same chromatographic method were exported to generate a list including compound names, molecular formula and RT. The curated list was then used for further processing in the Tracefinder software (v 5.0, Thermo Fisher Scientific), where extracted ion chromatographs for all compound were examined and manually integrated if necessary. False positive, noise or chromatographically unresolved compounds were removed. The peak area for each detected metabolite was then normalized against the total ion count (TIC) of that sample to correct any variations introduced from sample handling through instrument analysis. The normalized areas were used as variables for further statistical data analysis. |
Ion Mode: | UNSPECIFIED |