Summary of Study ST002731

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 PR001695. The data can be accessed directly via it's Project DOI: 10.21228/M8MB0X This work is supported by NIH grant, U2C- DK119886.

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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.

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Study IDST002731
Study TitleUntargeted Multi-Omics of LNCaP Cell-line Treated with Novel DNA Minor Groove Binder and /or Doxorubicin Using Mass-Spectrometry
Study SummaryProstate cancer poses a significant health risk, ranking as the second most common cancer among men in the United States. However, the effectiveness of current anti-prostate cancer drugs is limited due to increasing drug resistance and side effects. Consequently, there is a pressing need to develop new compounds and identify novel drug targets that can surpass these limitations. Due to their targeted mechanism, DNA minor groove binders (MGBs) are becoming more popular as a relatively safe and effective alternative. In our research, we employed multi-omics techniques to investigate the mechanism of action of a novel MGB compound (MGB4) through LC-MS/MS-based untargeted metabolomics combined with discovery proteomics analysis performed on LNCaP cells, which were treated with MGB4, doxorubicin, or a combination of both compounds. Through a one-way ANOVA test with a significance level of p-value < 0.05, we identified 99 metabolites and 1143 proteins associated with the treatments. Our findings indicate that treating LNCaP cells with doxorubicin or the MGB4 lead compound yielded similar effects, albeit not identical, on the cells. Both compounds deactivated the translation pathway in the cells. Furthermore, we observed alterations in sphingolipid and amino acid metabolic pathways, potentially contributing to the suppression of prostate cancer cell proliferation and division. Additionally, doxorubicin and combined treatments resulted in reduced metabolism of spermine and spermidine, likely stemming from decreased protein synthesis of key enzymes involved in their pathways. Moreover, the combined treatment exhibited a synergistic interaction between the two compounds, leading to altered purine metabolism and a more pronounced reduction in metabolite abundance compared to individual treatments. Overall, our study demonstrates the robustness of the multi-omics approach in elucidating the mechanism of action of promising drug candidates. It also suggests that MGB4 shows potential as a candidate for prostate cancer treatment.
Institute
Sharjah Institute for Medical Research
Last NameFacility
First NameCore
AddressM32, SIMR, College of Pharmacy, Health Sciences, University of Sharjah, Sharjah, UAE, Sharjah, 000, United Arab Emirates
Emailtims-tof@sharjah.ac.ae
Phone+971 6 5057656
Submit Date2023-06-07
Raw Data AvailableYes
Raw Data File Type(s)d
Analysis Type DetailLC-MS
Release Date2023-06-25
Release Version1
Core Facility Core Facility
https://dx.doi.org/10.21228/M8MB0X
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN004428
Analysis type MS
Chromatography type Reversed phase
Chromatography system Bruker Elute
Column Hamilton Intensity Solo 2 C18 (100 x 2.1 mm, 1.8 um)
MS Type ESI
MS instrument type QTOF
MS instrument name Bruker timsTOF
Ion Mode POSITIVE
Units AU

MS:

MS ID:MS004175
Analysis ID:AN004428
Instrument Name:Bruker timsTOF
Instrument Type:QTOF
MS Type:ESI
MS Comments:The MS analysis was performed using a TimsTOF (Bruker, Darmstadt, Germany) with Apollo II electrospray ionization (ESI) source. The drying gas was set to flow at 10 L/min and the drying temperature to 220C and the nebulizer pressure to 2.2 bar. The capillary voltage was 4500 V and the end plate offset 500V. For metabolomics the scan range was 20-1300 m/z. The collision energy was set to 20 eV, the cycle time to 0.5 seconds with a relative minimum intensity threshold of 400 counts per thousand and target intensity of 20,000. Sodium formate was injected as an external calibrant in the first 0.3 minutes of each LC-MS/MS run. MetaboScape 4.0 software was used for metabolite processing and statistical analysis (Bruker Daltonics). The following parameters for molecular feature identification and "bucketing" were set in the T-ReX 2D/3D workflow: For peak detection, a minimum intensity threshold of 1,000 counts is required, as well as a minimum peak duration of 7 spectra, with feature quantification determine using peak area. The file masses were recalibrated based on the external calibrant injected between 0-0.3 min.
Ion Mode:POSITIVE
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