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基于基质辅助激光解吸/电离质谱成像(MSI)的质谱组织化学(MSHC)技术对福尔马林固定石蜡包埋(FFPE)组织中内源性肽离子进行成像的数据分析方法。

MS1-Based Data Analysis Approaches for FFPE Tissue Imaging of Endogenous Peptide Ions by Mass Spectrometry Histochemistry (MSHC).

作者信息

Bhattacharya Nivedita, Nagornov Konstantin, Verheggen Kenneth, Verhaert Marthe, Sciot Raf, Verhaert Peter

机构信息

ProteoFormiX, Beerse, Belgium.

MassTech Inc., Columbia, MD, USA.

出版信息

Methods Mol Biol. 2023;2688:187-202. doi: 10.1007/978-1-0716-3319-9_16.

Abstract

Ambiguous reports in the literature exist regarding the use and usefulness of formalin-fixed paraffin-embedded (FFPE) tissues in mass spectrometry imaging (MSI). Especially for the study of endogenous (non-tryptic) peptides, several studies have concluded that MSI on archived FFPE tissue bank samples is virtually impossible. We here illustrate that by employing a variant of MSI, called mass spectrometry histochemistry (MSHC), biomolecular tissue localization data are obtained that unequivocally comprise endogenous peptides. We here discuss different informatics steps in a data analysis workflow to help filter peptide-related features out of large and complex datasets generated by atmospheric pressure matrix-assisted laser desorption/ionization high-resolution (Orbitrap mass analyzer) MSHC. These include, in addition to accurate mass measurements, Kendrick mass defect filtering and isotopic distribution scrutiny.

摘要

关于福尔马林固定石蜡包埋(FFPE)组织在质谱成像(MSI)中的应用及效用,文献中的报道并不明确。特别是对于内源性(非胰蛋白酶消化)肽的研究,多项研究得出结论,对存档的FFPE组织库样本进行MSI几乎是不可能的。我们在此表明,通过采用一种称为质谱组织化学(MSHC)的MSI变体,可以获得明确包含内源性肽的生物分子组织定位数据。我们在此讨论数据分析工作流程中的不同信息学步骤,以帮助从大气压基质辅助激光解吸/电离高分辨率(轨道阱质量分析仪)MSHC生成的大型复杂数据集中筛选出与肽相关的特征。这些步骤除了精确质量测量外,还包括肯德里克质量亏损过滤和同位素分布审查。

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