Summary of Study ST002242

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 PR001431. The data can be accessed directly via it's Project DOI: 10.21228/M8RD8W 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.

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files (Contains raw data)
Study IDST002242
Study TitleHypoxia promotes osteogenesis via regulating the acetyl-CoA-mediated mito-nuclear communication.
Study SummaryBone-mesenchymal stem cells (MSCs) reside in a hypoxic niche that maintains their differentiation potential. Although the role of hypoxia (low oxygen concentration) in the regulation of stem cell function has been previously reported, with normoxia (high oxygen concentration) leading to impaired osteogenesis, the molecular events triggering changes in stem cell fate decisions in response to high oxygen remain elusive. Here, we study the impact of normoxia on the mito-nuclear communication with regards to stem cell differentiation. We show that normoxia-cultured MSCs undergo profound transcriptional alterations which cause irreversible osteogenesis defects. Mechanistically, high oxygen promotes chromatin compaction and histone hypo-acetylation, particularly on promoters and enhancers of osteogenic genes. Although normoxia induces metabolic rewiring resulting in high acetyl-CoA levels, histone hypo-acetylation occurs due to trapping of acetyl-CoA inside mitochondria, owing to lower CiC activity. Strikingly, restoring the cytosolic acetyl-CoA pool remodels the chromatin landscape and rescues the osteogenic defects. Collectively, our results demonstrate that the metabolism-chromatin-osteogenesis axis is heavily perturbed in response to high oxygen and identify CiC as a novel, oxygen-sensitive regulator of the MSC function.
Institute
CECAD Research Center
Last NameYang
First NameMing
AddressJoseph-Stelzmann-Straße 26, Köln, Koeln, 50931, Germany
Emailming.yang@uni-koeln.de
Phone4922147884306
Submit Date2022-08-01
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailLC-MS
Release Date2022-08-17
Release Version1
Ming Yang Ming Yang
https://dx.doi.org/10.21228/M8RD8W
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Combined analysis:

Analysis ID AN003660
Analysis type MS
Chromatography type HILIC
Chromatography system Thermo Vanquish
Column SeQuant ZIC-pHILIC
MS Type ESI
MS instrument type Orbitrap
MS instrument name Thermo Orbitrap Exploris 240
Ion Mode UNSPECIFIED
Units peak area

MS:

MS ID:MS003411
Analysis ID:AN003660
Instrument Name:Thermo Orbitrap 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. 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. Mild trapping was enabled. Metabolite identification was performed in the Compound Discoverer software (v 3.2, Thermo Fisher Scientific). Metabolite identities were confirmed using the following parameters: (1) precursor ion m/z was matched within 5 ppm of theoretical mass predicted by the chemical formula; (2) fragment ions were matched within 5 pm to an in-house spectral library of authentic compound standards analysed with the same ddMS2 method with a best match score of over 70; (3) the retention time of metabolites was within 5% of the retention time of a purified standard run with the same chromatographic method. Chromatogram review and peak area integration were performed using the Tracefinder software (v 5.0, Thermo Fisher Scientific) and the peak area for each detected metabolite was normalized against the total ion count (TIC) of that sample to correct any variations introduced from sample handling to instrument analysis. The normalized areas were used as variables for further statistical data analysis.
Ion Mode:UNSPECIFIED
  logo