Siglec-1/CD169 Antibody (HSn 7D2) - BSA Free NB600-534 from Novus Biologicals, a Bio-Techne Brand

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Veterinary research
August 05 2016

Fig 1: Relationship between PRRSV RNA concentration in fetal thymus and the ratio of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathbf{CD163}}_{{{\mathbf{endo}}}}^{{\mathbf{ + }}}$$\end{document}CD163endo+ : \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathbf{CD163}}_{{{\mathbf{plc}}}}^{{\mathbf{ + }}}$$\end{document}CD163plc+ and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathbf{CD169}}_{{{\mathbf{endo}}}}^{{\mathbf{ + }}}$$\end{document}CD169endo+ : \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathbf{CD169}}_{{{\mathbf{plc}}}}^{{\mathbf{ + }}}$$\end{document}CD169plc+ . Results of single level proportional odds models. The probability of a fetus being in each of three PRRSV RNA concentration categories is shown: negative (green), low (blue; 0 < log10 copies per mg <5) and high (red; >5 log10 copies per mg). A Based on ratio of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\text{CD163}}_{{{\text{endo}}}}^{{{ + }}}$$\end{document}CD163endo+:\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\text{CD163}}_{{{\text{plc}}}}^{{{ + }}}$$\end{document}CD163plc+ cells (P = 0.001), the probability of a fetuses being in the high viral load category (red line) increases dramatically as \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\text{CD163}}_{{{\text{endo}}}}^{{{ + }}}$$\end{document}CD163endo+:\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\text{CD163}}_{{{\text{plc}}}}^{{{ + }}}$$\end{document}CD163plc+ ratio increases (opposite true for negative and low viral load categories). B Based on ratio of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\text{CD169}}_{{{\text{endo}}}}^{{{ + }}}$$\end{document}CD169endo+:\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\text{CD169}}_{{{\text{plc}}}}^{{{ + }}}$$\end{document}CD169plc+ cells (P = 0.07) a similar trend is noted but the strength of association is weak and may not be biologically relevant.
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eLife
December 06 2018

Fig 2: HIV-CRISPR Screening Identifies HIV Dependency Factors.(A) Negative MAGeCK Gene Scores across both ZAP-KO Screens ranked from most depleted genes on the X-axis. Only the top 25 hits are shown. (B) Left: THP-1 cells were stimulated overnight with IFNa and assayed for cell surface SIGLEC1/CD169 expression by flow cytometry. Right: Control (scrambled - gray) THP-1 cells andTHP-1 cells transduced with a SIGLEC1/CD169-targeting shRNA construct (dotted purple line) were assayed for cell surface SIGLEC1/CD169 expression after overnight IFNa treatment. (C) Infection of control (gray – wild type) and SIGLEC1/CD169 knockdown THP-1 (purple - CD169-KD) with and without IFNa (1000 U/mL u IFNa) and assayed by intracellular p24gag 2 days after infection (D) KO efficiency as determined by ICE analysis (CXCR4) or flow cytometry (TLR2). (E) Infection of control (gray – NTC), CXCR4-KO pools (orange) and TLR2-KO pools (green) were assayed for the % of cells expressing HIV p24gag 2 days post-infection by intracellular staining and flow cytometry. Left: wt HIV-1LAI (n = 3). Right: HIV-1LAI?env + VSV G (n = 3). (F) SEC62 knockdown after transduction with two LKO SEC62 shRNA constructs. Western blot of the sec62-targeting shRNA cell lines is shown together with two control (scrambled in gray) cell lines. Loading control = actin. (G) Infection of SEC62-KD (yellow) and control (scrambled in gray) with wt HIV-1LAI (left panel) or HIV-1LAI?env + VSV G (right panel). The % of cells expressing HIV p24gag 2 days post-infection is shown. (H) The mean fluorescence intensity (MFI) of CD4-APC (left panel) and CXCR4-APC (right panel) cell surface staining of control (scrambled in gray) and SEC62-KD (yellow) THP-1 cell pools.10.7554/eLife.39823.018Figure 5—source data 1.MAGeCK Gene Analysis (Negative Scores) of ZAP-KO THP-1 PIKAHIV HIV-1LAI screens.TargetID. log2FC IFN. ZAPKO11_uIFN-ZAPKO11_THP.gDNA.neg.score. ZAPKO46_uIFN-ZAPKO46_THP.gDNA.neg.score. ZAPKO x2 uIFN NEG. ZAPKO x2 uIFN NEG -log10.
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Veterinary research
August 05 2016

Fig 3: Mean numbers of PRRSV, CD163 and CD169 positive cells per 1 mm 2 of endometrium and placenta. A Mean numbers of PRRSV (SDOW17) positive cells per 1 mm2 of the endometrium and fetal placenta. B Mean numbers of CD163 positive cells per 1 mm2 of the endometrium and fetal placenta. C Mean numbers of CD169 positive cells per 1 mm2 of the endometrium and fetal placenta. Superscript letters (a, b, c or d, e, f) indicate significant differences (P < 0.05) between PRRSV viral load groups. Error bars represent standard error.
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Veterinary research
August 05 2016

Fig 4: IHC for PRRSV, CD163, CD169, and cathepsin in the PRRSV-infected uterine-fetal placental tissues. A Strong immunopositive staining for PRRSV of uterine epithelial cells (arrow) of areola from PRRSV-infected pregnant gilt. IHC for SDOW17, bar = 200 µm A and E. B PRRSV positive immunostained macrophage-like cell (arrow) in the endometrium of PRRSV-infected pregnant gilt. IHC for SDOW17, bar = 100 µm B–D. C Strong cytoplasmic immunopositive staining for CD163 of macrophages (arrows) in the chorioallantois of PRRSV-infected pregnant gilt. IHC for CD163. D Increased numbers of CD163 macrophages in highly inflamed areas (arrows) in the lamina propria of endometrium from the uterus of PRRSV-infected pregnant gilt. IHC for CD163. E Positive CD169 cells (arrowheads) in the lamina propria of endometrium from the uterus of PRRSV-infected pregnant gilt. IHC for CD169. F Cathepsin immunopositive stained areola (asterisk) at the uterus-fetal placenta interface from PRRSV-infected pregnant gilt. IHC for Cathepsin, bar = 500 µm.