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anti marco polyclonal goat igg biotin  (R&D Systems)


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    Structured Review

    R&D Systems anti marco polyclonal goat igg biotin
    Anti Marco Polyclonal Goat Igg Biotin, supplied by R&D Systems, used in various techniques. Bioz Stars score: 91/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/goat+anti+marco/Mouse+MARCO+Biotinylated+Antibody/pmc08491950-397-12-16
    Average 91 stars, based on 3 article reviews
    anti marco polyclonal goat igg biotin - by Bioz Stars, 2026-09
    91/100 stars

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    other:

    Article Title: Phagocytosis of bacteria is enhanced in macrophages undergoing nutrient deprivation.
    Article Snippet: The primary antibodies used were: goat anti-MARCO and rat anti-CD14 (R&D Systems, Abingdon, UK); rat anti-SR-A (clone 2F8) (AbD Serotec); mouse anti-caspase-3 (clone 19) and anti-HSP70 (clone 7) (BD Transduction Laboratories, Lexington, KY, USA); rabbit anti-Atg7, antip38 and anti-phospho-p38 (Thr180 ⁄Tyr182) (Cell Signaling Technology, Beverly, MA, USA); rabbit anti-LC3 (Novus Biologicals, Littleton, CO, USA); chicken anti-NDRG1 (Abcam, Cambridge, UK); rabbit anti-RORa (clone H-65) and mouse anti-CHOP (clone B-3) (Santa Cruz Biotechnology, Santa Cruz, CA, USA); mouse anti-b-actin (clone AC-15) (Sigma); and anti-Toll-like receptor 4 (eBioscience, San Diego, CA, USA).



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    R&D Systems anti marco polyclonal goat igg biotin
    Anti Marco Polyclonal Goat Igg Biotin, supplied by R&D Systems, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ScRNA-seq identifies two distinct populations of human liver resident macrophages/monocytes. a , b t -SNE projection of 8444 liver cells, with each cell colored based on expression of a CD68 and b <t>MARCO.</t> c Pairwise pathway enrichment analysis comparing gene expression in the two CD68 + macrophage clusters defined in Fig . Pathways enriched in non-inflammatory KCs are labeled in blue and pathways enriched in inflammatory KCs are indicated in red. Colored circles (nodes) represent pathways, sized by number of genes they contain. Green lines depict intra- and inter-pathway relationships according to the number of genes shared between each pathway. Black circles group related pathways into themes that are labeled. d Flow cytometry data showing the response of monocytes/macrophages in total liver homogenate cell suspensions to stimulation with 1 μg/ml LPS and 25 ng/ml IFN-γ. Cells were stained with anti-human CD45 (clone: HI30), anti-CD68 (clone: Y1/82 A), anti-MARCO (polyclonal; Invitrogen, <t>PA5-26888,</t> goat anti-rabbit secondary antibody), and anti-TNF-α antibodies. Full gating strategy and controls shown in Supplementary Fig. . e , f Distribution of MARCO-positive cells in liver zones 1–3. Scale bar represents 500 μm. Staining was performed on 5–7 μM slices cut from formalin-fixed, paraffin-embedded resected liver tissue. Using anti-MARCO (clone: Invitrogen, PA5-26888) and anti-CD68 (clone: PG-M1) at ×40 magnification. f Quantification of percent MARCO-positive cells in liver zones 1 to 3. Error bars show the standard error of the mean for at least seven replicates. Statistical significance evaluated using a one-way analysis of variance (ANOVA) with a Bonferroni post-test ∗∗∗ P < 0.001, ∗∗ P < 0.01, ∗ P < 0.05
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    LysM-DTA mice display a marked reduction of neutrophils in the steady state without changes in other myeloid cell populations. (A and B) Flow cytometry analysis of the percentage and absolute numbers of spleen, BM, and blood neutrophils (CD11b + Ly6G + ; A), as well as splenic red pulp macrophages <t>(RPM;</t> <t>F4/80</t> hi ; Mφ) and monocytes (SSC low CD11b + F4/80 + ; B) in naive WT and LysM-DTA mice. (C) Immunohistochemistry of spleens from naive WT and LysM-DTA mice to visualize neutrophils (CD11b + Ly6G + ; top), red pulp macrophages (F4/80 + ; middle), and <t>MARCO</t> + and MOMA-1 + macrophages (bottom). Representative data are from a minimum of three independent experiments. n = 4–6/group. Results are mean ± SEM. Immunohistochemistry was performed on four separate mice. Bar,100 µm. *, P < 0.05; **, P < 0.01 (unpaired Student’s t test).
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    LysM-DTA mice display a marked reduction of neutrophils in the steady state without changes in other myeloid cell populations. (A and B) Flow cytometry analysis of the percentage and absolute numbers of spleen, BM, and blood neutrophils (CD11b + Ly6G + ; A), as well as splenic red pulp macrophages <t>(RPM;</t> <t>F4/80</t> hi ; Mφ) and monocytes (SSC low CD11b + F4/80 + ; B) in naive WT and LysM-DTA mice. (C) Immunohistochemistry of spleens from naive WT and LysM-DTA mice to visualize neutrophils (CD11b + Ly6G + ; top), red pulp macrophages (F4/80 + ; middle), and <t>MARCO</t> + and MOMA-1 + macrophages (bottom). Representative data are from a minimum of three independent experiments. n = 4–6/group. Results are mean ± SEM. Immunohistochemistry was performed on four separate mice. Bar,100 µm. *, P < 0.05; **, P < 0.01 (unpaired Student’s t test).
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    LysM-DTA mice display a marked reduction of neutrophils in the steady state without changes in other myeloid cell populations. (A and B) Flow cytometry analysis of the percentage and absolute numbers of spleen, BM, and blood neutrophils (CD11b + Ly6G + ; A), as well as splenic red pulp macrophages <t>(RPM;</t> <t>F4/80</t> hi ; Mφ) and monocytes (SSC low CD11b + F4/80 + ; B) in naive WT and LysM-DTA mice. (C) Immunohistochemistry of spleens from naive WT and LysM-DTA mice to visualize neutrophils (CD11b + Ly6G + ; top), red pulp macrophages (F4/80 + ; middle), and <t>MARCO</t> + and MOMA-1 + macrophages (bottom). Representative data are from a minimum of three independent experiments. n = 4–6/group. Results are mean ± SEM. Immunohistochemistry was performed on four separate mice. Bar,100 µm. *, P < 0.05; **, P < 0.01 (unpaired Student’s t test).
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    Image Search Results


    ScRNA-seq identifies two distinct populations of human liver resident macrophages/monocytes. a , b t -SNE projection of 8444 liver cells, with each cell colored based on expression of a CD68 and b MARCO. c Pairwise pathway enrichment analysis comparing gene expression in the two CD68 + macrophage clusters defined in Fig . Pathways enriched in non-inflammatory KCs are labeled in blue and pathways enriched in inflammatory KCs are indicated in red. Colored circles (nodes) represent pathways, sized by number of genes they contain. Green lines depict intra- and inter-pathway relationships according to the number of genes shared between each pathway. Black circles group related pathways into themes that are labeled. d Flow cytometry data showing the response of monocytes/macrophages in total liver homogenate cell suspensions to stimulation with 1 μg/ml LPS and 25 ng/ml IFN-γ. Cells were stained with anti-human CD45 (clone: HI30), anti-CD68 (clone: Y1/82 A), anti-MARCO (polyclonal; Invitrogen, PA5-26888, goat anti-rabbit secondary antibody), and anti-TNF-α antibodies. Full gating strategy and controls shown in Supplementary Fig. . e , f Distribution of MARCO-positive cells in liver zones 1–3. Scale bar represents 500 μm. Staining was performed on 5–7 μM slices cut from formalin-fixed, paraffin-embedded resected liver tissue. Using anti-MARCO (clone: Invitrogen, PA5-26888) and anti-CD68 (clone: PG-M1) at ×40 magnification. f Quantification of percent MARCO-positive cells in liver zones 1 to 3. Error bars show the standard error of the mean for at least seven replicates. Statistical significance evaluated using a one-way analysis of variance (ANOVA) with a Bonferroni post-test ∗∗∗ P < 0.001, ∗∗ P < 0.01, ∗ P < 0.05

    Journal: Nature Communications

    Article Title: Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations

    doi: 10.1038/s41467-018-06318-7

    Figure Lengend Snippet: ScRNA-seq identifies two distinct populations of human liver resident macrophages/monocytes. a , b t -SNE projection of 8444 liver cells, with each cell colored based on expression of a CD68 and b MARCO. c Pairwise pathway enrichment analysis comparing gene expression in the two CD68 + macrophage clusters defined in Fig . Pathways enriched in non-inflammatory KCs are labeled in blue and pathways enriched in inflammatory KCs are indicated in red. Colored circles (nodes) represent pathways, sized by number of genes they contain. Green lines depict intra- and inter-pathway relationships according to the number of genes shared between each pathway. Black circles group related pathways into themes that are labeled. d Flow cytometry data showing the response of monocytes/macrophages in total liver homogenate cell suspensions to stimulation with 1 μg/ml LPS and 25 ng/ml IFN-γ. Cells were stained with anti-human CD45 (clone: HI30), anti-CD68 (clone: Y1/82 A), anti-MARCO (polyclonal; Invitrogen, PA5-26888, goat anti-rabbit secondary antibody), and anti-TNF-α antibodies. Full gating strategy and controls shown in Supplementary Fig. . e , f Distribution of MARCO-positive cells in liver zones 1–3. Scale bar represents 500 μm. Staining was performed on 5–7 μM slices cut from formalin-fixed, paraffin-embedded resected liver tissue. Using anti-MARCO (clone: Invitrogen, PA5-26888) and anti-CD68 (clone: PG-M1) at ×40 magnification. f Quantification of percent MARCO-positive cells in liver zones 1 to 3. Error bars show the standard error of the mean for at least seven replicates. Statistical significance evaluated using a one-way analysis of variance (ANOVA) with a Bonferroni post-test ∗∗∗ P < 0.001, ∗∗ P < 0.01, ∗ P < 0.05

    Article Snippet: Cells were stained with anti-human CD45 (clone: HI30), anti-CD68 (clone: Y1/82 A), anti-MARCO (polyclonal; Invitrogen, PA5-26888, goat anti-rabbit secondary antibody), and anti-TNF-α antibodies.

    Techniques: Expressing, Labeling, Flow Cytometry, Staining, Formalin-fixed Paraffin-Embedded

    LysM-DTA mice display a marked reduction of neutrophils in the steady state without changes in other myeloid cell populations. (A and B) Flow cytometry analysis of the percentage and absolute numbers of spleen, BM, and blood neutrophils (CD11b + Ly6G + ; A), as well as splenic red pulp macrophages (RPM; F4/80 hi ; Mφ) and monocytes (SSC low CD11b + F4/80 + ; B) in naive WT and LysM-DTA mice. (C) Immunohistochemistry of spleens from naive WT and LysM-DTA mice to visualize neutrophils (CD11b + Ly6G + ; top), red pulp macrophages (F4/80 + ; middle), and MARCO + and MOMA-1 + macrophages (bottom). Representative data are from a minimum of three independent experiments. n = 4–6/group. Results are mean ± SEM. Immunohistochemistry was performed on four separate mice. Bar,100 µm. *, P < 0.05; **, P < 0.01 (unpaired Student’s t test).

    Journal: The Journal of Experimental Medicine

    Article Title: BAFF-secreting neutrophils drive plasma cell responses during emergency granulopoiesis

    doi: 10.1084/jem.20150577

    Figure Lengend Snippet: LysM-DTA mice display a marked reduction of neutrophils in the steady state without changes in other myeloid cell populations. (A and B) Flow cytometry analysis of the percentage and absolute numbers of spleen, BM, and blood neutrophils (CD11b + Ly6G + ; A), as well as splenic red pulp macrophages (RPM; F4/80 hi ; Mφ) and monocytes (SSC low CD11b + F4/80 + ; B) in naive WT and LysM-DTA mice. (C) Immunohistochemistry of spleens from naive WT and LysM-DTA mice to visualize neutrophils (CD11b + Ly6G + ; top), red pulp macrophages (F4/80 + ; middle), and MARCO + and MOMA-1 + macrophages (bottom). Representative data are from a minimum of three independent experiments. n = 4–6/group. Results are mean ± SEM. Immunohistochemistry was performed on four separate mice. Bar,100 µm. *, P < 0.05; **, P < 0.01 (unpaired Student’s t test).

    Article Snippet: The following antibodies were used: B220 (RA3-6B2; BioLegend), CD3 (pc; Abcam), CD68 (FA-11; AbD Serotec), CD103 (2E7; BioLegend), CD138 (281-2; BioLegend), F4/80 (BM8; AbD Serotec), IgG (STAR120F; AbD Serotec), Ly-6G (1A8; BioLegend), MARCO (ED31; AbD Serotec), MOMA1 (Abcam), and PNA (Vector).

    Techniques: Flow Cytometry, Immunohistochemistry