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Updated: Jul 24, 2025

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors
Published on: April 29, 2022
PhosphoDisco: A Toolkit for Co-regulated Phosphorylation Module Discovery in Phosphoproteomic Data
Tobias Schraink1, Lili Blumenberg2, Grant Hussey1
1Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA; Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York, USA.
Abstract:
Kinases are key players in cancer-relevant pathways and are the targets of many successful precision cancer therapies. Phosphoproteomics is a powerful approach to study kinase activity and has been used increasingly for the characterization of tumor samples leading to the identification of novel chemotherapeutic targets and biomarkers. Finding co-regulated phosphorylation sites which represent potential kinase-substrate sets or members of the same signaling pathway allows us to harness these data to identify clinically relevant and targetable alterations in signaling cascades. Unfortunately, studies have found that databases of co-regulated phosphorylation sites are only experimentally supported in a small number of substrate sets. To address the inherent challenge of defining co-regulated phosphorylation modules relevant to a given dataset, we developed PhosphoDisco, a toolkit for determining co-regulated phosphorylation modules. We applied this approach to tandem mass spectrometry based phosphoproteomic data for breast and non-small cell lung cancer and identified canonical as well as putative new phosphorylation site modules. Our analysis identified several interesting modules in each cohort. Among these was a new cell cycle checkpoint module enriched in basal breast cancer samples and a module of PRKC isozymes putatively co-regulated by CDK12 in lung cancer. We demonstrate that modules defined by PhosphoDisco can be used to further personalized cancer treatment strategies by establishing active signaling pathways in a given patient tumor or set of tumors, and in providing new ways to classify tumors based on signaling activity.
Insights
We developed PhosphoDisco to identify co-regulated phosphorylation sites, revealing new cancer signaling pathways. This tool aids in classifying tumors and personalizing cancer therapies based on active signaling cascades.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Kinases are crucial in cancer pathways and targeted by precision therapies.
- Phosphoproteomics reveals kinase activity, identifying therapeutic targets and biomarkers.
- Identifying co-regulated phosphorylation sites aids in understanding signaling pathways and therapeutic targets, but is experimentally limited.
Purpose of the Study:
- To develop a computational toolkit, PhosphoDisco, for identifying co-regulated phosphorylation modules.
- To address the challenge of defining functionally relevant co-regulated phosphorylation modules from phosphoproteomic data.
- To apply PhosphoDisco to cancer phosphoproteomic data for discovering novel signaling pathways and therapeutic strategies.
Main Methods:
- Developed PhosphoDisco, a computational toolkit for analyzing co-regulated phosphorylation sites.
- Applied PhosphoDisco to tandem mass spectrometry-based phosphoproteomic data from breast and non-small cell lung cancer.
- Utilized identified modules for pathway analysis and tumor classification based on signaling activity.
Main Results:
- Identified canonical and putative novel phosphorylation site modules in breast and lung cancer datasets.
- Discovered a new cell cycle checkpoint module significantly enriched in basal breast cancer.
- Found a module of PRKC isozymes potentially co-regulated by CDK12 in lung cancer.
Conclusions:
- PhosphoDisco effectively identifies co-regulated phosphorylation modules from phosphoproteomic data.
- The identified modules offer insights into active signaling pathways in patient tumors.
- PhosphoDisco facilitates personalized cancer treatment strategies and novel tumor classification based on signaling profiles.
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