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Updated: Jan 31, 2026

Preparation of Chloroplast Sub-compartments from Arabidopsis for the Analysis of Protein Localization by Immunoblotting or Proteomics
Published on: October 19, 2018
SubCellBarCode: Proteome-wide Mapping of Protein Localization and Relocalization
Lukas Minus Orre1, Mattias Vesterlund1, Yanbo Pan1
1Department of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory, 17165 Solna, Sweden.
This study maps the subcellular locations of thousands of proteins across cell types using mass spectrometry. Most proteins reside in one location, rarely altered by splicing, with cell identity linked to surface proteins.
Area of Science:
- Proteomics
- Cell Biology
- Bioinformatics
Background:
- Subcellular localization dictates protein function, but a comprehensive proteome-wide view is lacking.
- Understanding spatial proteome organization is crucial for cell biology.
Purpose of the Study:
- To create a proteome-wide map of subcellular localization across multiple cell lines.
- To investigate factors influencing protein localization, including alternative splicing, protein domains, and cell type.
- To analyze protein relocalization dynamics in response to external stimuli.
Main Methods:
- Development of a mass spectrometry-based analysis pipeline.
- Classification of over 83,000 protein localizations across five cell lines.
- Correlation profiling to analyze co-localization and identify localization determinants.
Main Results:
- The majority of proteins exhibit a single primary subcellular location.
- Alternative splicing has a minimal impact on subcellular localization.
- Cell-type-specific localization is most pronounced for proteins interacting with the extracellular environment.
- Protein relocalization was observed upon growth factor inhibition.
Conclusions:
- The study provides a comprehensive resource for subcellular proteome organization.
- Spatial proteome organization is complex, with most proteins maintaining a stable location.
- Cellular identity is significantly influenced by cell surface protein expression patterns.
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