Summary of Study ST001709
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 PR001094. The data can be accessed directly via it's Project DOI: 10.21228/M89394 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 | ST001709 |
| Study Title | SARS-CoV-2 infection rewires host cell metabolism and is potentially susceptible to mTORC1 inhibition |
| Study Summary | Viruses hijack host cell metabolism to acquire the building blocks required for viral replication. Understanding how SARS-CoV-2 alters host cell metabolism could lead to potential treatments for COVID-19, the disease caused by SARS-CoV-2 infection. Here we profile metabolic changes conferred by SARS-CoV-2 infection in kidney epithelial cells and lung air-liquid interface cultures and show that SARS-CoV-2 infection increases glucose carbon entry into the TCA cycle via increased pyruvate carboxylase expression. SARS-CoV-2 also reduces host cell oxidative glutamine metabolism while maintaining reductive carboxylation. Consistent with these changes in host cell metabolism, we show that SARS-CoV-2 increases activity of mTORC1, a master regulator of anabolic metabolism, in cell lines and patient lung stem cell-derived airway epithelial cells. We also show evidence of mTORC1 activation in COVID-19 patient lung tissue. Notably, mTORC1 inhibitors reduce viral replication in kidney epithelial cells and patient-derived lung stem cell cultures. This suggests that targeting mTORC1 could be a useful antiviral strategy for SARS-CoV-2 and treatment strategy for COVID-19 patients, although further studies are required to determine the mechanism of inhibition and potential efficacy in patients. |
| Institute | University of California, Los Angeles |
| Department | Biomedical Sciences |
| Laboratory | Heather Christofk |
| Last Name | Matulionis |
| First Name | Nedas |
| Address | 615 Charles E Young Dr S, BSRB 354-05 |
| nmatulionis@mednet.ucla.edu | |
| Phone | 310-206-0163 |
| Submit Date | 2021-02-19 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-02-24 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN002783 | AN002784 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | HILIC | HILIC |
| Chromatography system | Thermo Vanquish | Thermo Vanquish |
| Column | SeQuant ZIC-HILIC (150 x 2.1mm,5um) | SeQuant ZIC-HILIC (150 x 2.1mm,5um) |
| MS Type | ESI | ESI |
| MS instrument type | Orbitrap | Orbitrap |
| MS instrument name | Thermo Q Exactive Orbitrap | Thermo Q Exactive Orbitrap |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | Peak Area | Peak Area |
MS:
| MS ID: | MS002579 |
| Analysis ID: | AN002783 |
| Instrument Name: | Thermo Q Exactive Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | The UHPLC was coupled to a Q-Exactive (Thermo Scientific) mass analyzer running in polarity switching mode with spray-voltage=3.2kV, sheath-gas=40, aux-gas=15, sweep-gas=1, aux-gas-temp=350°C, and capillary-temp=275°C. For both polarities mass scan settings were kept at full-scan-range=(70-1000), ms1-resolution=70,000, max-injection-time=250ms, and AGC-target=1E6. MS2 data was also collected from the top three most abundant singly-charged ions in each scan with normalized-collision-energy=35. Each of the resulting “.RAW” files was then centroided and converted into two “.mzXML” files (one for positive scans and one for negative scans) using msconvert from ProteoWizard. These “.mzXML” files were imported into the MZmine 2 software package. Ion chromatograms were generated from MS1 spectra via the built-in Automated Data Analysis Pipeline (ADAP) chromatogram module and peaks were detected via the ADAP wavelets algorithm. Peaks were aligned across all samples via the Random sample consensus aligner module, gap-filled, and assigned identities using an exact mass MS1(+/-15ppm) and retention time RT (+/-0.5min) search of our in-house MS1-RT database. Peak boundaries and identifications were then further refined by manual curation. Peaks were quantified by area under the curve integration and exported as CSV files. If stable isotope tracing was used in the experiment, the peak areas were additionally processed via the R package AccuCor to correct for natural isotope abundance. Peak areas for each sample were normalized by the measured area of the internal standard trifluoromethanesulfonate (present in the extraction buffer) and by the number of cells present in the extracted well. |
| Ion Mode: | POSITIVE |
| MS ID: | MS002580 |
| Analysis ID: | AN002784 |
| Instrument Name: | Thermo Q Exactive Orbitrap |
| Instrument Type: | Orbitrap |
| MS Type: | ESI |
| MS Comments: | The UHPLC was coupled to a Q-Exactive (Thermo Scientific) mass analyzer running in polarity switching mode with spray-voltage=3.2kV, sheath-gas=40, aux-gas=15, sweep-gas=1, aux-gas-temp=350°C, and capillary-temp=275°C. For both polarities mass scan settings were kept at full-scan-range=(70-1000), ms1-resolution=70,000, max-injection-time=250ms, and AGC-target=1E6. MS2 data was also collected from the top three most abundant singly-charged ions in each scan with normalized-collision-energy=35. Each of the resulting “.RAW” files was then centroided and converted into two “.mzXML” files (one for positive scans and one for negative scans) using msconvert from ProteoWizard. These “.mzXML” files were imported into the MZmine 2 software package. Ion chromatograms were generated from MS1 spectra via the built-in Automated Data Analysis Pipeline (ADAP) chromatogram module and peaks were detected via the ADAP wavelets algorithm. Peaks were aligned across all samples via the Random sample consensus aligner module, gap-filled, and assigned identities using an exact mass MS1(+/-15ppm) and retention time RT (+/-0.5min) search of our in-house MS1-RT database. Peak boundaries and identifications were then further refined by manual curation. Peaks were quantified by area under the curve integration and exported as CSV files. If stable isotope tracing was used in the experiment, the peak areas were additionally processed via the R package AccuCor to correct for natural isotope abundance. Peak areas for each sample were normalized by the measured area of the internal standard trifluoromethanesulfonate (present in the extraction buffer) and by the number of cells present in the extracted well. |
| Ion Mode: | NEGATIVE |
