Summary of Study ST002104
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 PR001333. The data can be accessed directly via it's Project DOI: 10.21228/M8DM7G 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 | ST002104 |
| Study Title | Chemoresistant Cancer Cell Lines are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations |
| Study Type | Biomedical research |
| Study Summary | Our analysis was able to separate chemoresistant cells from their parental cells based on their metabolomic and proteomic features and identified altered biological processes and pathways which are of further interest. Preliminary investigation of patient-derived cells highlighted the need to perform broad biological and molecular analyses, compre-hensive in vitro and in vivo studies, using a larger patient cohort to achieve a deeper and clinically relevant characterization of the molecular drivers of chemoresistance. |
| Institute | Future Industries Institute |
| Laboratory | Manuela Klingler-Hoffmann |
| Last Name | Acland |
| First Name | Mitchell |
| Address | X Building, Mawson Lakes South Australia 5095 |
| mitch.acland@gmail.com | |
| Phone | 0448671141 |
| Submit Date | 2022-02-06 |
| Num Groups | 4 |
| Total Subjects | 12 |
| Num Males | NA |
| Num Females | NA |
| Study Comments | OVCAR5 and CaOV3 cell lines and their carboplatin resistant cell lines |
| Publications | Chemoresistant Cancer Cell Lines are Characterized by Migra-tory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-03-29 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR001333 |
| Project DOI: | doi: 10.21228/M8DM7G |
| Project Title: | Chemoresistant Cancer Cell Lines are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations |
| Project Type: | untargeted LCMS metabolomics of ovarian cell lines OVCAR5 and CaOV3 and their respective carboplatin resistant GO lines |
| Project Summary: | Chemoresistance remains the major barrier to effective ovarian cancer treatment. The molecular features and associated biological functions of this phenotype remain poorly understood. We developed carboplatin resistant cell line models using OVCAR5 and CaOV3 cell lines with the aim of identifying chemoresistance-specific molecular features. Chemotaxis and CAM invasion assays revealed enhanced migratory and invasive potential in OVCAR5 resistant, compared to parental cells lines. Mass spectrometry analysis was used to analyse the proteome and metabolome of these cell lines and was able to separate these populations based on their molecular features. It revealed signalling and metabolic perturbations in chemoresistant cell lines. Comparison with the proteome of patient derived primary ovarian cancer cells grown in culture showed a shared dysregulation of cytokine and type 1 interferon signalling, potentially revealing a common molecular feature of chemoresistance. A comprehensive analysis of a larger patient cohort, including advanced in vitro and in vivo models, promises to help better understand the molecular mechanisms of chemoresistance and associated enhancement of migration and invasion. |
| Institute: | Future Industries Institute |
| Laboratory: | Manuela Klingler-Hoffmann |
| Last Name: | Acland |
| First Name: | Mitchell |
| Address: | X Building, Mawson Lakes South Australia 5095 |
| Email: | mitch.acland@gmail.com |
| Phone: | 48671141 |
| Publications: | Chemoresistant Cancer Cell Lines are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations |
| Contributors: | Mitchell Acland, Noor A. Lokman, Clifford Young, Dovile Anderson, Mark Condina, Chris Desire, Tannith M. Noye, Wanqi Wang, Carmela Ricciardelli, Darren J. Creek, Martin K. Oehler, Peter Hoffmann and Manuela Klingler-Hoffmann |
