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Label-Free Time-of-Flight Secondary Ion Mass Spectrometry Imaging of Sulfur-Producing Enzymes inside Microglia Cells following Exposure to Silver Nanowires
Author(s) -
Bey Fen Leo,
Sarah Fearn,
Daniel GonzalezCarter,
Ioannis G. Theodorou,
Pakatip Ruenraroengsak,
Angela E. Goode,
David S. McPhail,
David T. Dexter,
Milo S. P. Shaffer,
Kian Fan Chung,
Alexandra E. Porter,
Mary P. Ryan
Publication year - 2019
Publication title -
analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.117
H-Index - 332
eISSN - 1520-6882
pISSN - 0003-2700
DOI - 10.1021/acs.analchem.9b01704
Subject(s) - chemistry , enzyme , sulfur , mass spectrometry , secondary ion mass spectrometry , ion , analyte , cystathionine beta synthase , biochemistry , cysteine , chromatography , organic chemistry
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 (C 4 H 8 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 C 4 H 8 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 Ag 2 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 H 2 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.

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