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Updated: May 27, 2026

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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
Published on: November 13, 2021
Consensus statement on mass spectrometry-based proteomic analysis of cardiac tissue
Alicia Lundby1, Jennifer E Van Eyk2, Manuel Mayr3
1Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. alicia.lundby@sund.ku.dk.
Nature Cardiovascular Research
|May 25, 2026
Summary
This study presents a framework for mass spectrometry-based cardiac proteomics, addressing challenges in tissue analysis. It guides researchers in generating reproducible data for better understanding of heart physiology and disease.
Area of Science:
- Cardiovascular Biology
- Proteomics
- Biomarker Discovery
Background:
- Mass spectrometry-based proteomics offers molecular insights into cardiac physiology and disease.
- Cardiac tissue analysis is crucial for understanding heart mechanisms and identifying therapeutic targets.
- Challenges in cardiac tissue proteomics include limited samples, heterogeneity, and inconsistent practices, hindering reproducibility.
Purpose of the Study:
- To provide a practical framework for mass spectrometry-based proteomic studies of cardiac tissue and primary cardiac cells.
- To outline best practices for sample handling, experimental design, data acquisition, quality control, and statistical analysis.
- To support cardiac researchers in generating robust and reproducible proteomics datasets.
Main Methods:
- Development of a practical guideline for cardiac tissue and cell proteomic studies.
- Emphasis on sample handling, experimental design, data acquisition, quality control, and statistical analysis.
- Focus on mass spectrometry-based approaches for cardiac research.
Main Results:
- A comprehensive framework for conducting cardiac proteomics studies.
- Detailed best practices and key considerations for researchers.
- Guidance to improve reproducibility and data integration in cardiac proteomics.
Conclusions:
- Adherence to the proposed framework will enhance the quality and reproducibility of cardiac proteomics data.
- This guideline aims to advance the understanding of cardiac biology in health and disease.
- Improved proteomic datasets will facilitate mechanistic insights and therapeutic target identification in cardiology.

