Lukowski Jessica K, Cho Byoung-Kyu, Calderon Antonia Zamacona, Dianati Borna, Stumpo Katherine, Snyder Savannah, Goo Young Ah
Mass Spectrometry Technology Access Center at the McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA.
Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri, USA.
Proteomics. 2025 May 12:e202400378. doi: 10.1002/pmic.202400378.
Mass spectrometry has long been utilized to characterize a variety of biomolecules such as proteins, metabolites, and lipids. Most MS-based omics studies rely on bulk analysis; however, bulk approaches often overlook low-abundance molecules that may exert critical biological effects. Recently, multi-omics analyses have been driving an explosion of knowledge about how biomolecules interact within biological systems. In particular, spatial multi-omics has emerged as a groundbreaking approach for implementing multi-omic and multi-modal analyses. Broadly defined, spatial omics has the ability to analyze biomolecules within their native spatial contexts, offering transformative insights. This review focuses on mass spectrometry-based spatial omics, specifically matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). We will explore how MALDI-MSI, in combination with laser capture microdissection (LCM) and traditional liquid chromatography-mass spectrometry (LC-MS) workflow, is advancing spatially resolved multi-omics research.
长期以来，质谱技术一直被用于表征各种生物分子，如蛋白质、代谢物和脂质。大多数基于质谱的组学研究依赖于整体分析；然而，整体分析方法往往会忽略那些可能发挥关键生物学作用的低丰度分子。最近，多组学分析推动了有关生物分子在生物系统中如何相互作用的知识的爆炸式增长。特别是，空间多组学已成为实施多组学和多模态分析的开创性方法。广义而言，空间组学能够在生物分子的天然空间背景下对其进行分析，提供变革性的见解。本综述聚焦于基于质谱的空间组学，特别是基质辅助激光解吸/电离质谱成像（MALDI-MSI）。我们将探讨MALDI-MSI如何与激光捕获显微切割（LCM）和传统液相色谱-质谱（LC-MS）工作流程相结合，推动空间分辨多组学研究的发展。
