key: cord-258239-7xyqlz0u authors: Gärtner, Fabian; Knippschild, Uwe; Burster, Timo title: Application of an Activity-Based Probe to Determine Proteolytic Activity of Cell Surface Cathepsin G by Mass Cytometry Data Acquisition date: 2020-10-19 journal: ACS Omega DOI: 10.1021/acsomega.0c04092 sha: doc_id: 258239 cord_uid: 7xyqlz0u [Image: see text] During an immune response, cathepsin G (CatG) takes on the role of adaptive and innate immunity and the outcome depends on the localization of CatG. Soluble, cell surface-bound, or intracellular CatG is also responsible for pathophysiology conditions. We applied the activity-based probe MARS116-Bt to mass cytometry by time-of-flight to analyze CatG activity on the cell surface of immune cells. The phosphonate warhead of MARS116-Bt binds covalently to the serine amino acid residue S195 of the catalytic center and thereby CatG activity can be detected. This method contributes to observing the activation or inhibition status of cells during pathogenesis of diseases and enables accurate data acquisition from complex biological samples with a vast panel of cell subset markers in a single-cell resolution. Hypertension, cardiac diseases, and diabetes are some of the consequences of cardiac dysfunction. Elevated blood pressure is the result of vasoconstriction, which is triggered by angiotensin II binding to the type 1 angiotensin receptor. Additionally, angiotensin II enhances inflammation and fibrosis. 1 How is angiotensin II generated? Angiotensinogen is cleaved by renin to angiotensin I and is further proteolytically digested by the angiotensin-converting enzyme (ACE) to angiotensin II. Importantly, neutrophil-derived cathepsin G (CatG), which can be soluble or bound to the cell surface of neutrophils, and mast cell-derived chymase are also able to convert angiotensin I to angiotensin II. 2−5 ACE2 processes angiotensin II to angiotensin 1−7, which is, on the one hand, valuable in lowering blood pressure by vasodilation and provokes the kidneys to excrete sodium and water. On the other hand, it also exhibits an anti-inflammatory capacity. Downregulation of ACE2-expressing cells can cause activation of the renin angiotensin system, which regulates vascular and cardiac physiology and is central to common pathologic conditions such as hypertension and heart failure. 6, 7 Neutrophils can be identified by a set of cell surface markers, among them are CD11b, CD16, and CD66b, which are reliably expressed across the neutrophilic population. In addition, these cell surface markers are independent from the location or activation status of neutrophils. 8 Activated neutrophils, under conditions of both inflammation and homeostasis, express cell surface markers, such as CD62L (L-selectin), CD54 (intracellular adhesion molecule 1, ICAM-1), CD32 (FcγRII), and CD88 (C5a receptor). 9 Activation of neutrophils can also be artificially induced using phorbol myristate acetate. 10 CatG, a serine protease, together with neutrophil elastase, proteinase 3, and neutrophil serine protease 4 is secreted by activated neutrophils. Cell surface CatG on neutrophils is still proteolytically active, 11 although natural serine protease inhibitors, including α 1 -antitrypsin, are present at the site of inflammation but cannot inhibit cell surface CatG. First, neutrophils release matrix metalloproteases in order to proteolytically inactivate α 1 -antitrypsin, 12 and second, the bulky natural serine protease inhibitor, α 1 -proteinase inhibitor might not be able to reach the catalytic center of cell surfacebound CatG by steric hindrance. 11 CatG possesses a catalytic triad, as with other proteases, containing histidine, aspartate, and serine amino acids within the active center (H57, D102, and S195). The active site cleft is perpendicularly oriented to the two β barrels where the hydroxyl group of S195 nucleophilically attacks the carbonyl carbon of the scissile peptide bond. 13, 14 Human CatG shows trypsin, chymotrypsin, metase, and lyase activity. 15, 16 Additionally, it was demonstrated by performing protease profiling that CatG has a preference at the P1 position holding an asparagine (N), at P2 proline (P), and at P3 glutamic acid (E) and at the alternate subsite P1′ isoleucine (I), alanine (A), and serine (S) as well as at the P2′ negatively charged amino acids (aspartic acid, D, and glutamic acid, E). 17, 18 In our previous work, we analyzed distinct cell populations in the peripheral blood of healthy donors for their cell surface CatG activity by applying the activity-based probe MARS116-Bt in a flow cytometry approach. This method circumvents cell separation from a mixture of cells found in blood or tissue to detect CatG activity by a Western blot-based assay or by enzymatic kinetics. 19 Mass cytometry by time-of-flight (CyTOF) is the next generation of flow cytometry to simultaneously analyze a complex panel of cell markers, which is not possible with the classical fluorescence flow cytometer. Hence, a multiplexed profiling of up to 100 surface markers as well as intracellular signaling proteins is possible. 20, 21 Until now, the detection of cell markers, including proteases, via application of CyTOF has been limited to analysis at the protein level. To this end, we established an approach to determine the proteolytic activity of CatG on the cell surface of neutrophils, NK cells, B cells, and T cells in peripheral blood mononuclear cells (PBMCs) by combining the activity-based probe MARS116-Bt and the antibiotin-150 Nd antibody with CyTOF analysis. The technique outlined here demonstrates that CatG can be detected on CD16 + CD66b + neutrophils and NK cells using the CyTOF methodology. Therefore, MARS116-Bt-anti-biotin-150 Nd antibodies are useful to profile a vast panel of different cell subsets in order to evaluate catalytically active CatG, its regulation, or inhibition on the cell surface. 2.1. Detection of CatG Activity on the Cell Surface of Neutrophils by CyTOF. Activity-based probes are applied to detect cysteine and serine protease activity. 22−24 MARS116-Bt contains a biotin, spacer, amino acid sequence for specificity, and a warhead. MARS116-Bt, with an incorporated electrophilic phosphonic active site-directed warhead, binds covalently to the oxygen atom of S195 within the catalytic center of CatG. 25 PBMCs were incubated with MARS116-Bt with a group of specific antibodies that were conjugated with different isotopes ( 147 Sm-CD20, 154 Sm-CD45, 155 Gd-CD56, 160 Gd-CD14, 162 Dy-CD66b, 165 Ho-CD16, 168 Er-CD8, 170 Er-CD3, 173 Yb-HLA-DR, and 174 Yb-CD4) to determine immune cells and their respective subsets. Furthermore, the groups were treated with different inhibitors to distinguish specificity. One control group was incubated without an inhibitor, two groups were preincubated with the reversible CatG inhibitor (CatGinh.) in a final concentration of 12.5 or 50 μM, and one group was treated with the irreversible CatG inhibitor Suc-Val-Pro-Phe P (OPh) 2 (SucVPF) 26, 27 in a final concentration of 50 μM before adding MARS116-Bt. Subsequently, antibiotin-150 Nd antibodies were added to the samples and CatG activity was monitored by CyTOF combined with the respective software (summarized in Figure 1 ). After data acquisition, the FCS files were normalized based on the calibration beads (EQ Four Element Calibration Beads) using the built-in normalizer of the Helios. The beads were gated out of the analysis and the cells were gated for DNA double-positive events ( 191 Ir and 193 Ir) to exclude doublets for accurate single-cell identification. CD45 was used as a marker for PBMCs. A further gating procedure was carried out to differentiate between CD4 + T cells (CD3 + , CD4 + , CD8 − , and CD20 − ), CD8 + T cells (CD3 + , CD4 − , CD8 + , and CD20 − ), B cells (CD20 + and HLA-DR + ), monocytes (CD3 − , CD14 var , CD16 var , CD20 − , CD56 − , and HLA-DR + ), NK cells (CD3 − , CD14 − , CD16 var , CD20 − , and CD56 var ), eosinophils (CD3 − , CD16 − , CD20 − , CD56 − , and CD66b + ), and neutrophils (CD3 − , CD16 + , CD20 − , CD56 − , and CD66b + ). NK cells were further subcategorized by gating for the cell surface expression of CD16 and CD56 based on previously established gating procedures of regular flow cytometry. 28 In the next step, the 150 Nd channel was adjusted for CatG activity selecting CD4 + T cells, CD8 + T cells, B cells, monocytes, NK cells, and their subsets, as well as eosinophils and neutrophils. In contrast to B cells or T cells, eosinophils and neutrophils showed a robust level of proteolytically active CatG (Figure 2 and Supporting Information S1). Additionally, the NK cell subset CD16 + CD56 − (no. 5) harbors detectable CatG activity, as demonstrated in Figure 3 . The specificity of cell surface-active CatG was determined by signal reduction when samples were preincubated with CatG inhibitors (CatGinh. and SucVPF). Thus, the methodology of CyTOF can be used for deep profiling of neutrophils, eosinophils, and NK cells as well as for http://pubs.acs.org/journal/acsodf Article detection of proteolytically active CatG by applying MARS116-Bt. Furthermore, CyTOF is a valid method to detect not only the presence of specific antigens but also their proteolytic activity. The next-generation flow cytometry CyTOF setup in combination with MARS116-Bt-anti-biotin-150 Nd antibodies allows us to analyze and gate distinct cell subsets and simultaneously determine the proteolytic activity of CatG. This approach can be used to monitor neutrophils for the efficacy of inhibitors to arrest CatG activity as well as disease progression where CatG activity is upregulated. Furthermore, MARS116-Bt-anti-biotin-150 Nd antibodies can be added to a vast panel of activation markers in CyTOF analysis to characterize immune cells during inflammation, inducing a pathologic effect, in homeostasis, or when stimulated with different substances. Additionally, different activity-based probes can be applied to CyTOF to detect further serine proteases or even cysteine proteases in a single-cell approach. In previous work, we detected CatG activity in both NK cell subsets, CD3 − CD16 − CD56 dim and CD3 − CD16 dim CD56 − NK cells, 19 by common flow cytometry. Compared to the CyTOF analysis demonstrated here, CatG activity detection was limited to CD16 + CD56 -NK cells. This gives rise to speculation that a low amount of CatG activity cannot be detected by CyTOF and is certainly a limitation of this technique. The use of MARS116-Bt-anti-biotin-150 Nd antibodies for characterizing the catalytic activity of CatG is not only practical for immune cells from the blood. We also suggest sputum from patients or tissue from animal models because application of the MARS116-Bt-anti-biotin-150 Nd antibodies is not restricted to cells from humans. Furthermore, treatment with protease inhibitors to regulate imbalanced proteolytic activity in several diseases is indicated. With respect to serine protease inhibitors, boswellic acids (BAs) inhibit the catalytic activity of CatG. 29 Previously, it has been shown that BA interferes with the chemoinvasion of neutrophils, suppresses inflammation, and possesses potential cardioprotective properties. 29−31 Inhibition of CatG by BA could be monitored by MARS116-Bt-anti- 3.2. Application of MARS116-Bt in CyTOF. PBMCs from one donor were thawed, washed twice with PBS, and used in a final concentration of 1.5 × 10 6 PBMCs/staining for both titration of antibodies and the experiments. The experiment was split into four groups, one control group treated with PBS, two groups that were preincubated with the reversible CatG inhibitor (CatGinh., Calbiochem, Merck Chemicals GmbH, Schwalbach, Germany, Cat. no.: 219372) at two concentrations, 12.5 and 50 μM, and one group treated with 50 μM of the irreversible CatG inhibitor, Suc-Val-Pro-Phe P (OPh) 2 (SucVPF). 26 Preincubation was performed for 15 min at room temperature (RT). Afterward, cells were washed with PBS, centrifuged (300g for 8 min), and incubated with MARS116-Bt, which was synthesized as described previously, 25 in a final concentration of 2 μM for 30 min at RT, followed by three wash steps in PBS, and centrifugation at 300g for 8 min. Cells were stained with the following mixture of antibodies, as depicted in Table 1, in RPMI supplemented with 10% DMSO until the day of acquisition. The samples were thawed followed by one washing step in PBS with 10% FCS, and three washing steps with MilliQ water (600g, 8 min). Thereafter, cells were acquired at 300 events/second with a Helios CyTOF system (Fluidigm, Markham, Canada). Calibration beads (EQ Four Element Calibration Beads, Fluidigm #201078, Markham, Canada) were used at a concentration of 10%. 3.3. Data Analysis. The data were analyzed using manual gating with FlowJo X (FlowJov10.6.2, FlowJo LLC, Ashland, OR, USA) as well as automated clustering approaches using SPADE (Cytobank 7.3.0., implemented version, Santa Clara, CA, USA). Statistical analysis was performed with the commercially available software, GraphPad Prism 6, Inc., San Diego, CA, USA. Data were normalized to the specific untreated control population and expressed as normalized intensity in percent. The ± standard error of the mean (S.E.M.) is shown. 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