Summary of Study ST001612

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001034. The data can be accessed directly via it's Project DOI: 10.21228/M81X28 This work is supported by NIH grant, U2C- DK119886.


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Study IDST001612
Study TitleComparative metabolomics analysis of two Saccharomyces cerevisiae strains: the wild type and mtl1Δ, which carries a deletion of the mechanosensor Mtl1p (part-II)
Study SummaryTo gather more in-depth knowledge of the Mtl1p mechanosensor's role in Saccharomyces cerevisiae metabolism, we conducted a comparative metabolomic analysis of two Saccharomyces cerevisiae strains: the wild type and mtl1Δ, which carries a deletion of the mechanosensor Mtl1p. Both strains were grown under normal conditions at 27°C. The most significant metabolic changes between these strains were related to amino acid metabolism, purine metabolism, and carboxylic acid metabolism.
University of Puerto Rico, Medical Sciences Campus
Last NameChorna
First NameNataliya
AddressUniversity of Puerto Rico, Medical Sciences Campus, Department of Biochemistry, Main Building, 6th Floor, Room A-632, San Juan, PR 00935
Phone7877582525 ext 1640
Submit Date2020-11-07
Num Groups2
Total Subjects14
Raw Data AvailableYes
Raw Data File Type(s)qgd
Analysis Type DetailGC-MS
Release Date2020-12-10
Release Version1
Nataliya Chorna Nataliya Chorna application/zip

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Combined analysis:

Analysis ID AN002647
Analysis type MS
Chromatography type GC
Chromatography system Shimadzu GCMS-QP2010 ultra
Column Shimadzu SH-Rxi-5ms (30 x 0.25 x 0.25)
MS Type EI
MS instrument type Single quadrupole
MS instrument name Shimadzu QP2010 Ultra
Units mM


MS ID:MS002459
Analysis ID:AN002647
Instrument Name:Shimadzu QP2010 Ultra
Instrument Type:Single quadrupole
MS Type:EI
MS Comments:Inlet temperature was 280 °C; ion source temperature was 200 °C. MS conditions were set as follows: full scan mode, electron energy of 70 eV, quadrupole scan range of m/z 35–700. Data were processed using the GCMS Solution Postrun Analysis software (Shimadzu Inc) for metabolites identification from their electron impact mass spectra by comparison to the NIST 2014 spectral mass library.