MassIVE MSV000082694

Partial Public

Metabolomics Workbench ST000089 - GNPS - A study of changes in lipid metabolism of ovarian cancer cells co-cultured with adipocytes: UHPLC-QTOF MS analysis

Subscribe Comment Reanalyze Spectra Add Reanalysis

Description

This West Coast Metabolomics Center pilot and feasibility project was granted to Ernst Lengyel  (University of Chicago).
The biology of ovarian cancer (OvCa) is clearly distinct from that of most epithelial tumors, in that hematogenous metastases are rare, and ovarian tumors remain confined to the peritoneal cavity. The omentum, a large pad of fat tissue (20x13x3cm) covering the bowel, is the most common site of OvCa metastasis. It consists primarily of adipocytes, which become the principal microenvironment for the OvCa cells. The underlying hypothesis for this application is that, in the presence of adipocytes, the metabolism of OvCa cells is reprogramed and shifts towards lipid utilization, which provides energy that facilitates tumor growth and metastasis. Preliminary results suggest that primary human omental adipocytes secrete cytokines which promote the metastasis of OvCa cells to the omentum and their subsequent invasion. Once metastasis has occurred, OvCa cells induce lipolysis in omental adipocytes, and use the energy derived from these lipids to proliferate.
To study the metabolic changes in the tumor microenvironment we have established a 3D organotypic culture of the human omentum using primary human cells established from patient tissue. Metabolic studies will be performed on adipocytes and OvCa cells individually, on conditioned media and on adipocytes and OvCa cells co-cultured in our 3D model, with the goal of arriving at a comprehensive analysis of primary metabolites and lipids in the tumor microenvironment.
In the current investigation, untargeted analysis of primary metabolites and complex lipids were conducted on adipocytes and OvCa cells individually, on conditioned media and on adipocytes and OvCa cells co-cultured in our 3D model. Analysis of oxylipins was conducted on conditioned media. To gain better understanding of the dynamic regulation of metabolic pathways we will also perform metabolic flux analysis using labeled cells (13C-glucose, 13C-glutamine) in the 3D culture model.
The primary objective of this study is to gain insight into the dynamic interactions between OvCa cells and human adipocytes with the anticipation of elucidating targets of therapeutic intervention. 

[dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Metabolomics Workbench ; ST000089 ; timecourse study

Contact

Principal Investigators:
(in alphabetical order) 		Oliver Fiehn, University of California, Davis, N/A
Submitting User: ccms
Number of Files:
Total Size:
Spectra:
Subscribers:
 
Owner Reanalyses
Experimental Design
    Conditions:
    Biological Replicates:
    Technical Replicates:
 
Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
    Variant Peptides:
    PSMs:
 
Quantification Results
    Differential Proteins:
    Quantified Proteins:
 
Browse Dataset Files
 
FTP Download Link (click to copy):

Species

Instrument

Modifications

- Dataset Reanalyses

+ Dataset History

Click here to queue conversion of this dataset's submitted spectrum files to open formats (e.g. mzML). This process may take some time.

When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.