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Related Concept Videos

Proteomics01:33

Proteomics

7.7K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Related Experiment Video

Updated: Aug 17, 2025

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
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CPPA: A Web Tool for Exploring Proteomic and Phosphoproteomic Data in Cancer.

Guo-Sheng Hu1,2, Zao-Zao Zheng1,2, Yao-Hui He1,2

  • 1State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiang'an South Road, Xiamen, Fujian 361102, China.

Journal of Proteome Research
|December 12, 2022
PubMed
Summary
This summary is machine-generated.

Cancer proteomic and phosphoproteomic data analysis is enhanced by CPPA (Cancer Proteome and Phosphoproteome Atlas). This web tool mines cancer proteome and phosphoproteome abnormalities, aiding therapeutic target discovery.

Keywords:
cancerphosphoproteomeproteomeweb tool

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Cancer Research

Background:

  • Mass spectrometry has generated vast proteomic and phosphoproteomic data.
  • Understanding cancer-related proteome and phosphoproteome changes is limited by a lack of effective analysis tools.

Purpose of the Study:

  • To develop a web tool, CPPA (Cancer Proteome and Phosphoproteome Atlas), for mining cancer proteome and phosphoproteome abnormalities.
  • To facilitate data mining and therapeutic target discovery using existing datasets.

Main Methods:

  • Developed CPPA, a web-based tool for analyzing proteomic and phosphoproteomic data.
  • Integrated various analytical functions including differential expression, correlation, and survival analysis.
  • Utilized published datasets for cancer-specific analysis.

Main Results:

  • CPPA provides a flexible interface for comprehensive analysis of normal and tumor tissue proteomic and phosphoproteomic data.
  • The tool facilitates identification of abnormalities and potential therapeutic targets.
  • Analysis includes general profiling, differential expression, phosphorylation site statistics, correlation, similarity, survival, and pathological stage analysis.

Conclusions:

  • CPPA bridges the gap between raw mass spectrometry data and experimental biologists.
  • The tool empowers researchers to unlock the value of proteomic and phosphoproteomic data for cancer research.
  • CPPA aids in the discovery of novel therapeutic targets in cancer.