Project title
Identification of Proteoforms correlating with chemoresistance using a proteoogenomics approach
Collaborators and funding
- University of South Australia
- University of Adelaide
Contact(s)
- Peter Hoffmann, Unisa, Peter.Hoffmann@unisa.edu.au
Project description and aims
This project integrates long-read RNA sequencing and mass spectrometry-based proteomics to uncover proteogenomic mechanisms driving chemoresistance in ovarian cancer. The goal is to detect and quantify isoforms and proteoforms that influence drug response and patient outcomes.
Aims
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Aim 1: Generate long-read transcriptomic and proteomic data from chemo-sensitive and chemo-resistant ovarian cancer cell lines to build sample-specific protein databases.
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Aim 2: Develop a proteogenomic pipeline for accurate isoform-level analysis and detection of low-abundance or non-canonical proteins.
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Aim 3: Apply the workflow to patient samples to validate biomarkers and assess predictive value for treatment response.
How is ABLeS supporting this work?
This work is supported through the Production Bioinformatics scheme provided by ABLeS. The support includes storage and compute allocation.
Expected outputs enabled by participation in ABLeS
Expected outputs include generating custom protein databases using GenomeProt from long-read RNA-seq and proteomics data on ovarian cancer. These databases and analysis results will support proteogenomic research on chemoresistance and will be shared via public repositories and publications to promote reproducibility and discovery.
These details have been provided by project members at project initiation. For more information on the project, please consult the contact(s) or project links above.