4.6 Review

Cellular resolution in clinical MALDI mass spectrometry imaging: the latest advancements and current challenges

期刊

CLINICAL CHEMISTRY AND LABORATORY MEDICINE
卷 58, 期 6, 页码 914-929

出版社

WALTER DE GRUYTER GMBH
DOI: 10.1515/cclm-2019-0858

关键词

data analysis; data integration and interpretation; histopathology; mass spectrometry imaging; molecular analysis; spatial resolution

资金

  1. Dutch province of Limburg as part of the LINK program
  2. National Institutes of Health (NIH) of the United States of America
  3. NIH [R01 CA213428, R01 CA213492-01A1, T32 CA193145]
  4. European Union [643638]
  5. H2020 Societal Challenges Programme [643638] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

Mass spectrometry (MS) is the workhorse of metabolomics, proteomics and lipidomics. Mass spectrometry imaging (MSI), its extension to spatially resolved analysis of tissues, is a powerful tool for visualizing molecular information within the histological context of tissue. This review summarizes recent developments in MSI and highlights current challenges that remain to achieve molecular imaging at the cellular level of clinical specimens. We focus on matrix-assisted laser desorption/ionization (MALDI)-MSI. We discuss the current status of each of the analysis steps and remaining challenges to reach the desired level of cellular imaging. Currently, analyte delocalization and degradation, matrix crystal size, laser focus restrictions and detector sensitivity are factors that are limiting spatial resolution. New sample preparation devices and laser optic systems are being developed to push the boundaries of these limitations. Furthermore, we review the processing of cellular MSI data and images, and the systematic integration of these data in the light of available algorithms and databases. We discuss roadblocks in the data analysis pipeline and show how technology from other fields can be used to overcome these. Finally, we conclude with curative and community efforts that are needed to enable contextual-ization of the-information obtained.

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