par4 (Alomone Labs)
Structured Review

Par4, supplied by Alomone Labs, used in various techniques. Bioz Stars score: 93/100, based on 6 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/par4/product/Alomone Labs
Average 93 stars, based on 6 article reviews
Images
1) Product Images from "Soluble CD13 is a potential mediator of neutrophil-induced thrombogenic inflammation in SARS-CoV-2 infection"
Article Title: Soluble CD13 is a potential mediator of neutrophil-induced thrombogenic inflammation in SARS-CoV-2 infection
Journal: JCI Insight
doi: 10.1172/jci.insight.184975
Figure Legend Snippet: ( A ) sCD13 showed significant correlations with Cit-H3 ( n = 172) and MPO-DNA ( n = 172) in patients with COVID-19 while S100 A8/A9 ( n = 172) showed a positive slope but not a statistically significant correlation. ( B ) Representative images of neutrophils isolated from peripheral blood and analyzed after stimulation with PBS or sCD13. Panels show merged images of NETs in which neutrophil elastase was stained green by immunofluorescence and DNA was stained blue by Hoechst 33342. n = 3 technical replicates. Scale bar: 100 μm. ( C ) sCD13 blocked the staining of PAR4-5F10 antibodies, which recognize only the inactivated/uncleaved form of PAR4 yet had no effect on PAR4-FITC antibodies, which recognize both the activated and inactivated forms. n = 3 technical replicates, repeated 2 times. Original magnification, ×1,000. ( D ) sCD13-induced NETosis was blocked by B1R inhibitor SSR-240612 and PAR4 inhibitor BMS-986120 (all n = 3). ( E ) PMA-induced NETosis was not impacted by the B1R or PAR4 inhibitors (all n = 3). Results are expressed as mean ± SD. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. Significance was determined by Spearman’s test ( A ) and 1-way ANOVA ( D and E ).
Techniques Used: Isolation, Staining, Immunofluorescence
Figure Legend Snippet: Single-cell RNA-Seq results of nasopharyngeal/pharyngeal swabs, bronchial brushings and bronchial lavages were generated from patients with COVID-19 ( n = 19) and healthy controls ( n = 5). Data are extracted from Chua et al. . ( A ) Both ANPEP (codes for CD13) and MMP14 are expressed on various epithelial cells and macrophages. ANPEP is also expressed on neutrophils while MMP14 is expressed on mast cells. BDKRB1 (codes for B1R) is expressed on some epithelial cells with the highest expression on secretory cells and ciliated cells. F2RL3 (codes for PAR4) was barely detected in this dataset but seemed to be expressed by epithelial cells. Cell abbreviations are defined in . ( B ) Cellular ANPEP expression in nasopharyngeal cells is elevated in patients with COVID-19 (moderate COVID-19 n = 8, severe COVID-19 n = 11) compared with healthy controls ( n = 5). ( C ) Using the median expression levels of ANPEP in patients, patients with COVID-19 were divided into 2 populations: ANPEP -high and ANPEP -low. Differentially expressed genes in neutrophils from these 2 groups were shown in the volcano plot ( P < 1 × 10 –20 , |log 2 (fold-change)| < 0.25). ( D ) Pathway analysis of the differentially expressed genes in ANPEP -high and ANPEP -low neutrophils showed pathways related to neutrophil degranulation, leukocyte activation, and inflammation. ( E ) The neutrophils from ANPEP -high patients with COVID-19 ( n = 10) showed a gene signature of immature-like neutrophils characterized by the overexpression of genes coding for several granule-content proteins (healthy controls n = 5, ANPEP -low n = 9). ( F ) The score for neutrophil immaturity was higher in critically ill patients with COVID-19 ( n = 11) compared with moderate patients (left, n = 8). The median neutrophil-immaturity score of neutrophils in ANPEP -high patients ( n = 10) was lower than that in ANPEP -low patients (right, n = 9). ( G ) The neutrophil-immaturity signature was most prominent in ANPEP -high patients ( n = 10) as developing neutrophils versus mature neutrophils from the peripheral blood were examined (healthy controls n = 5, ANPEP -low n = 9). Results are expressed as mean ± SD. **** P < 0.0001. Significance was determined by 1-way ANOVA ( B and G ) and Mann-Whitney test ( F ).
Techniques Used: RNA Sequencing, Generated, Expressing, Activation Assay, Over Expression, MANN-WHITNEY
Figure Legend Snippet: ( A ) Gating scheme of flow cytometry analysis on monocytes and neutrophils. ( B ) CD13, B1R, and PAR4 were expressed on monocytes and neutrophils, while MMP14 showed minimal expression on these cells ( n = 3). ( C ) Histograms showing the changes in CD13, PAR4, and B1R expression in neutrophils and monocytes with or without IL-1β, TNF-α, or IL-6 stimulation. ( D ) Quantification of relative expression of CD13, PAR4, and B1R on neutrophils and monocytes after stimulation with IL-1β, TNF-α, or IL-6 compared with unstimulated control from 3 healthy donors. Results are expressed as mean ± SD. * P < 0.05, ** P < 0.01, **** P < 0.0001. Significance was determined by 1-way ANOVA. FMO, fluorescence minus 1 (gating control); NT, not treated.
Techniques Used: Flow Cytometry, Expressing, Control, Fluorescence
Figure Legend Snippet: ( A ) Reanalysis of single-cell RNA-Seq results generated from circulating human neutrophils revealed that immature neutrophils have higher ANPEP expression. Dot plot of ANPEP , IFN, and neutrophil maturity genes for each neutrophil cluster, showing the average expression level and the percentage of cells expressing the gene in each cluster. ( B ) Gating scheme of flow cytometry analysis on mature and immature neutrophils isolated from whole blood. CD10 + CD16 hi defines mature neutrophils while CD10 – CD16 lo defines immature neutrophils. ( C ) Significantly higher expression of CD13 and lower expression of PAR4 were observed in mature neutrophils compared with immature neutrophils while B1R expression showed similar levels. Data generated from 5–10 healthy controls. Results are expressed as mean ± SD. ** P < 0.01. Significance was determined by Wilcoxon’s test.
Techniques Used: RNA Sequencing, Generated, Expressing, Flow Cytometry, Isolation


