1. Label-Free Time-of-Flight Secondary Ion Mass Spectrometry Imaging of Sulfur-Producing Enzymes inside Microglia Cells following Exposure to Silver Nanowires.
- Author
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Leo BF, Fearn S, Gonzalez-Cater D, Theodorou I, Ruenraroengsak P, Goode AE, McPhail D, Dexter DT, Shaffer M, Chung KF, Porter AE, and Ryan MP
- Subjects
- Animals, Biological Transport, Cell Line, Transformed, Mice, Microglia drug effects, Microglia ultrastructure, Microscopy, Electron, Scanning, Molecular Imaging instrumentation, Molecular Imaging methods, Nanowires chemistry, Silver chemistry, Spectrometry, Mass, Secondary Ion, Sulfur metabolism, Cystathionine beta-Synthase metabolism, Cystathionine gamma-Lyase metabolism, Microglia enzymology, Silver pharmacology, Sulfur chemistry, Sulfurtransferases metabolism
- Abstract
There are no methods sensitive enough to detect enzymes within cells, without the use of analyte labeling. Here we show that it is possible to detect protein ion signals of three different H
2 S-synthesizing enzymes inside microglia after pretreatment with silver nanowires (AgNW) using time-of-flight secondary ion mass spectrometry (TOF-SIMS). Protein fragment ions, including the fragment of amino acid (C4 H8 N+ = 70 amu), fragments of the sulfur-producing cystathionine-containing enzymes, and the Ag+ ion signal could be detected without the use of any labels; the cells were mapped using the C4 H8 N+ amino acid fragment. Scanning electron microscopy imaging and energy-dispersive X-ray chemical analysis showed that the AgNWs were inside the same cells imaged by TOF-SIMS and transformed chemically into crystalline Ag2 S within cells in which the sulfur-producing proteins were detected. The presence of these sulfur-producing cystathionine-containing enzymes within the cells was confirmed by Western blots and confocal microscopy images of fluorescently labeled antibodies against the sulfur-producing enzymes. Label-free TOF-SIMS is very promising for the label-free identification of H2 S-contributing enzymes and their cellular localization in biological systems. The technique could in the future be used to identify which of these enzymes are most contributory.- Published
- 2019
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