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Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing Frog Embryo

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A draft map of the mouse pluripotent stem cell spatial proteome.

Andy Christoforou^1,2, Claire M Mulvey^1,2, Lisa M Breckels¹

¹Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK.

Nature Communications

|January 13, 2016

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We developed hyperLOPIT, a new method for mapping protein locations within cells. This technique provides high-resolution subcellular proteome data for over 5,000 proteins, revealing cellular organization and dynamics.

Area of Science:

Cell Biology
Proteomics
Systems Biology

Background:

Understanding protein localization is crucial for cellular function.
Previous methods lacked resolution and accuracy for comprehensive subcellular proteome analysis.

Purpose of the Study:

To introduce hyperLOPIT, a novel method for high-resolution subcellular proteome mapping.
To analyze the subcellular proteome of pluripotent stem cells.

Main Methods:

Coupling extensive fractionation with quantitative high-resolution mass spectrometry.
Utilizing multivariate data analysis for proteome mapping.
Application to pluripotent stem cells.

Main Results:

Localization data for over 5,000 proteins with unprecedented spatial resolution.

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Revealed organization of organelles, sub-organellar compartments, and protein complexes.

Identified unexpected subcellular locations and protein dynamics.

Conclusions:

hyperLOPIT enables detailed characterization of the subcellular proteome.
The method facilitates studies on post-translational modifications and cellular perturbations.
An interactive open-source resource for exploring proteome localization data is provided.