Summary of Study ST001130
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 PR000755. The data can be accessed directly via it's Project DOI: 10.21228/M8367J 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 | ST001130 |
Study Title | Urea cycle and 1C/serine metabolism in the prevention of oxygen induced retinopathy |
Study Summary | Untargeted metabolite profiling links the urea cycle and 1C/serine metabolism in the prevention of oxygen induced retinopathy by hepatic HIF stabilization. Premature infants require oxygen supplementation to survive that is simultaneously toxic to developing tissues. We have demonstrated that hypoxia inducible factor (HIF) stabilization during hyperoxia prevents oxygen induced retinopathy (OIR) and lung disease. Here, untargeted metabolite profiling coupled to XCMS systems biology analysis finds that serine/1C and urea cycles dominate pathway enrichment graphs. MS1 peak areas and MS2 library matches reveal 50% or more increased levels of plasma and retina serine, glycine, hypotaurine, methionine, and taurine. In addition, N-acetylglutamate increased 4-fold in serum, while orotate, citrulline, arginine, aspartate, glutamine were at least 50% increased after HIF stabilization. Targeted data analysis in vivo finds that retinal serine and glycine were derived from liver. HIF-1α2lox/2lox; albumin-cre KO had reduced levels of serine and retinal glycine. Inhibition of 1C metabolism blocked rescue by HIF stabilization. The metabolic phenotype of mice protected from OIR by HIF stabilization is dependent on hepatic serine/1C metabolism and urea cycle. |
Institute | Cole Eye Institute |
Department | Cleveland Clinic |
Last Name | Singh |
First Name | Charandeep |
Address | 9500 Euclid Avenue |
cxs065@gmail.com | |
Phone | (216) 444-8232 |
Submit Date | 2019-01-31 |
Analysis Type Detail | LC-MS |
Release Date | 2020-06-20 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
Analysis ID | AN001855 |
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Analysis type | MS |
Chromatography type | HILIC |
Chromatography system | Thermo Vanquish |
Column | SeQuant ZIC-HILIC (100 x 2.1mm,3.5um) |
MS Type | ESI |
MS instrument type | Orbitrap |
MS instrument name | Thermo Q Exactive HF hybrid Orbitrap |
Ion Mode | POSITIVE |
Units | Area under the curve Arbitrary units |
MS:
MS ID: | MS001715 |
Analysis ID: | AN001855 |
Instrument Name: | Thermo Q Exactive HF hybrid Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | LC-MS data from ddMS2 measurement were converted to mzML format using compound discoverer (version 2.1) (Thermo Scientific, Bellefonte, PA, USA) Data were analyzed using XCMS online tool(Forsberg et al, 2018). The metabolites were mapped onto the mouse database available on XCMS(Forsberg et al, 2018). Data was also analyzed with MSdial tool to confirm some of the metabolite annotations, using library provided with the MSdial software(Lai et al, 2017; Tsugawa et al, 2015). Forsberg EM, Huan T, Rinehart D, Benton HP, Warth B, Hilmers B, Siuzdak G (2018) Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online. Nat Protoc 13: 633-651 Lai Z, Tsugawa H, Wohlgemuth G, Mehta S, Mueller M, Zheng Y, Ogiwara A, Meissen J, Showalter M, Takeuchi K, Kind T, Beal P, Arita M, Fiehn O (2017) Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics. Nature methods 15: 53 Tsugawa H, Cajka T, Kind T, Ma Y, Higgins B, Ikeda K, Kanazawa M, VanderGheynst J, Fiehn O, Arita M (2015) MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis. Nature methods 12: 523-526 |
Ion Mode: | POSITIVE |