Consensus statement on mass spectrometry-based proteomic analysis of cardiac tissue

IF 12.6 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Alicia Lundby, Jennifer E. Van Eyk, Manuel Mayr, Melanie Y. White, Jonathan A. Kirk, Jonathan S. Achter, Justyna Fert-Bober, Michael Wierer, Philipp Mertins, Maggie P. Y. Lam, Sean J. Humphrey, Edward Lau, Anthony O. Gramolini, Ying Ge, Rebekah L. Gundry
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Abstract

Mass spectrometry-based cardiac proteomics provides direct molecular insight into cardiac physiology and disease. While plasma proteomics has advanced biomarker discovery, the analysis of cardiac tissue is essential for mechanistic understanding and therapeutic target identification; however, proteomic investigation of cardiac tissue faces unique challenges, including limited sample availability, regional heterogeneity, variability in collection and processing, and inconsistent reporting practices that hinder reproducibility and data integration. Here, we provide a practical framework for designing and conducting mass spectrometry-based proteomic studies of cardiac tissue and primary cardiac cells. We outline best practices and key considerations for sample handling, experimental design, data acquisition, quality control and statistical analysis. This guideline aims to support cardiac researchers in generating robust and reproducible proteomics datasets that advance our understanding of cardiac biology in both physiological and pathological contexts. This Consensus Statement provides practical guidance for mass spectrometry-based proteomic analyses of cardiac tissue samples. It defines best practices across the experimental workflow to enable reproducible, high-quality datasets.

Abstract Image

基于质谱的心脏组织蛋白质组学分析的共识声明。
基于质谱的心脏蛋白质组学为心脏生理学和疾病提供了直接的分子洞察。虽然血浆蛋白质组学在生物标志物发现方面取得了进展,但对心脏组织的分析对于机制理解和治疗靶点识别至关重要;然而,心脏组织的蛋白质组学研究面临着独特的挑战,包括有限的样本可用性,区域异质性,收集和处理的可变性,以及阻碍再现性和数据整合的不一致的报告实践。在这里,我们为设计和开展基于质谱的心脏组织和原代心脏细胞的蛋白质组学研究提供了一个实用的框架。我们概述了样品处理、实验设计、数据采集、质量控制和统计分析的最佳实践和关键考虑因素。本指南旨在支持心脏研究人员生成强大且可重复的蛋白质组学数据集,以促进我们在生理和病理背景下对心脏生物学的理解。
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来源期刊
CiteScore
5.70
自引率
0.00%
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