Veličković Dušan, Purkerson Jeffrey, Bhotika Harsh, Huyck Heidie, Clair Geremy, Pryhuber Gloria S, Anderton Christopher
Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.
Department of Pediatrics, University of Rochester Medical Center, Rochester, New York, USA.
Mol Omics. 2025 May 20. doi: 10.1039/d4mo00230j.
Identifying cell-specific glycan structures in human lungs is critical for understanding the chemistry and mechanisms that guide cell-cell and cell-matrix interactions and determining nuanced functions of specific glycosylation. Our dual-modality omics platform, which uses matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) to profile glycan chemistry at 50 μm × 50 μm scale, combined with co-detection by indexing (CODEX) to provide cell identification from the exact same tissue section, is a significant step in this direction. It enabled us to detect, differentiate, and reveal chemical properties of -glycans in the various cell types of a human lung, suggesting the cell-specific function of distinct carbohydrate moieties. This innovative technological combination bridges the gap between the specific protein glycosylation and their cellular origin, paving the way for targeted studies in the lungs and many other human tissues where glycans mediate cell-cell recognition events.
识别人类肺部细胞特异性聚糖结构对于理解指导细胞间和细胞与基质相互作用的化学过程及机制,以及确定特定糖基化的细微功能至关重要。我们的双模态组学平台朝着这个方向迈出了重要一步,该平台利用基质辅助激光解吸/电离(MALDI)质谱成像(MSI)在50μm×50μm尺度上分析聚糖化学,并结合索引共检测(CODEX)从同一切片的组织中识别细胞。它使我们能够检测、区分并揭示人类肺部各种细胞类型中聚糖的化学性质,表明不同碳水化合物部分具有细胞特异性功能。这种创新的技术组合弥合了特定蛋白质糖基化与其细胞来源之间的差距,为在肺部以及许多其他聚糖介导细胞间识别事件的人体组织中进行靶向研究铺平了道路。