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Updated: Feb 18, 2026

Quantitative Analysis of Chromatin Proteomes in Disease
Published on: December 28, 2012
Region and cell-type resolved quantitative proteomic map of the human heart
Sophia Doll1,2, Martina Dreßen3, Philipp E Geyer1,2
1Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.
Insights
Researchers mapped the human heart proteome, identifying over 10,700 proteins across 16 regions and 3 cell types. This heart map reveals subcellular protein details and potential markers for cardiac diseases like atrial fibrillation.
Area of Science:
- Cardiovascular Biology
- Proteomics
- Systems Biology
Background:
- Heart diseases are a leading global cause of mortality.
- Comprehensive understanding of the human heart's protein composition is limited.
- Existing proteomic data for the heart is insufficient for detailed analysis.
Purpose of the Study:
- To create a comprehensive proteome map of the healthy human heart.
- To quantify protein identities and abundances in various anatomical regions and cell types.
- To model the heart proteome at the subcellular level.
Main Methods:
- High-resolution mass spectrometry-based proteomics was employed.
- 16 anatomical regions and 3 major cardiac cell types were analyzed.
- Protein copy numbers per cell and organellar assignments were integrated.
Main Results:
- Over 10,700 proteins were quantified from low microgram sample amounts.
- A subcellular model of the heart proteome was constructed.
- Cardiac fibroblasts revealed potential cell surface markers.
- Analysis of atrial fibrillation showed distinct mitochondrial dysfunctions.
Conclusions:
- The human heart proteome map provides a valuable resource for cardiovascular research.
- The map facilitates the study of normal heart function and disease mechanisms.
- Identified markers and dysfunctions offer insights into cardiac pathologies like atrial fibrillation.
Abstract:
The heart is a central human organ and its diseases are the leading cause of death worldwide, but an in-depth knowledge of the identity and quantity of its constituent proteins is still lacking. Here, we determine the healthy human heart proteome by measuring 16 anatomical regions and three major cardiac cell types by high-resolution mass spectrometry-based proteomics. From low microgram sample amounts, we quantify over 10,700 proteins in this high dynamic range tissue. We combine copy numbers per cell with protein organellar assignments to build a model of the heart proteome at the subcellular level. Analysis of cardiac fibroblasts identifies cellular receptors as potential cell surface markers. Application of our heart map to atrial fibrillation reveals individually distinct mitochondrial dysfunctions. The heart map is available at maxqb.biochem.mpg.de as a resource for future analyses of normal heart function and disease.
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