pe a anti mouse cd64 antibody Search Results


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Polyclonal Anti Mouse Fc Ri Cd64 Antibodies, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Abcam anti human cd64 clone 10 1 abs
Anti Human Cd64 Clone 10 1 Abs, supplied by Abcam, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Biozol Diagnostica Vertrieb GmbH mouse anti-hfcγri (cd64) 10·1
Mouse Anti Hfcγri (Cd64) 10·1, supplied by Biozol Diagnostica Vertrieb GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio-Rad mouse anti human cd64
Mouse Anti Human Cd64, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Bio-Techne corporation mouse fc gamma ri/cd64 alexa fluor® 488-conjugated antibody
Mouse Fc Gamma Ri/Cd64 Alexa Fluor® 488 Conjugated Antibody, supplied by Bio-Techne corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Miltenyi Biotec anti human cd64
A schematic diagram on how to calculate the FCBI-index value of the patient with microbiologically confirmed Streptococcus pneumoniae pneumonia using the novel FCBI-index method. (a) The incubation of the whole blood sample with the receptor-specific antibodies, red blood cell lysis, and flow cytometry run were carried out one after another in the same test tube. (b) During the flow cytometry run, the leukocyte population within gate R1 was first gated out from the side scatter (SSC)/MHCI bivariate histogram, after which gates R2 (red) and R3 (blue) were set around neutrophil and lymphocyte populations, respectively, in the <t>SSC/CD64</t> bivariate histogram containing leukocytes inside gate R1. The stop count of 1000 monocytes inside the monocyte gate (black/R4) was used, leading to the collection of a total of 5000–20000 leukocytes. (c) For the purpose of data analysis, three additional bivariate histograms, namely SSC/CD35, SSC/CD64, and SSC/CD329 were made, showing mean fluorescence intensities (MFI, which correlate with the number of receptors on the cell surface) of gated neutrophil (red) and lymphocyte (blue) populations. In the SSC/CD35 histogram, B-lymphocytes expressing CD35 were left outside the lymphocyte gate. (d) The actual FCBI-index value was calculated by substituting the obtained receptor-specific MFI data from neutrophil and monocyte populations into the bacterial infection algorithm. A more detailed step-by-step description of the development of the FCBI-index method is presented in the method section and Supplementary Figs. 1–5. 1.54 × gCMF-HBSS: 1.54-fold calcium- and magnesium-free HBSS -buffer supplemented with 1.54 mg/mL gelatin.
Anti Human Cd64, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems anti fcγri
A schematic diagram on how to calculate the FCBI-index value of the patient with microbiologically confirmed Streptococcus pneumoniae pneumonia using the novel FCBI-index method. (a) The incubation of the whole blood sample with the receptor-specific antibodies, red blood cell lysis, and flow cytometry run were carried out one after another in the same test tube. (b) During the flow cytometry run, the leukocyte population within gate R1 was first gated out from the side scatter (SSC)/MHCI bivariate histogram, after which gates R2 (red) and R3 (blue) were set around neutrophil and lymphocyte populations, respectively, in the <t>SSC/CD64</t> bivariate histogram containing leukocytes inside gate R1. The stop count of 1000 monocytes inside the monocyte gate (black/R4) was used, leading to the collection of a total of 5000–20000 leukocytes. (c) For the purpose of data analysis, three additional bivariate histograms, namely SSC/CD35, SSC/CD64, and SSC/CD329 were made, showing mean fluorescence intensities (MFI, which correlate with the number of receptors on the cell surface) of gated neutrophil (red) and lymphocyte (blue) populations. In the SSC/CD35 histogram, B-lymphocytes expressing CD35 were left outside the lymphocyte gate. (d) The actual FCBI-index value was calculated by substituting the obtained receptor-specific MFI data from neutrophil and monocyte populations into the bacterial infection algorithm. A more detailed step-by-step description of the development of the FCBI-index method is presented in the method section and Supplementary Figs. 1–5. 1.54 × gCMF-HBSS: 1.54-fold calcium- and magnesium-free HBSS -buffer supplemented with 1.54 mg/mL gelatin.
Anti Fcγri, supplied by R&D Systems, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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R&D Systems cd64
A schematic diagram on how to calculate the FCBI-index value of the patient with microbiologically confirmed Streptococcus pneumoniae pneumonia using the novel FCBI-index method. (a) The incubation of the whole blood sample with the receptor-specific antibodies, red blood cell lysis, and flow cytometry run were carried out one after another in the same test tube. (b) During the flow cytometry run, the leukocyte population within gate R1 was first gated out from the side scatter (SSC)/MHCI bivariate histogram, after which gates R2 (red) and R3 (blue) were set around neutrophil and lymphocyte populations, respectively, in the <t>SSC/CD64</t> bivariate histogram containing leukocytes inside gate R1. The stop count of 1000 monocytes inside the monocyte gate (black/R4) was used, leading to the collection of a total of 5000–20000 leukocytes. (c) For the purpose of data analysis, three additional bivariate histograms, namely SSC/CD35, SSC/CD64, and SSC/CD329 were made, showing mean fluorescence intensities (MFI, which correlate with the number of receptors on the cell surface) of gated neutrophil (red) and lymphocyte (blue) populations. In the SSC/CD35 histogram, B-lymphocytes expressing CD35 were left outside the lymphocyte gate. (d) The actual FCBI-index value was calculated by substituting the obtained receptor-specific MFI data from neutrophil and monocyte populations into the bacterial infection algorithm. A more detailed step-by-step description of the development of the FCBI-index method is presented in the method section and Supplementary Figs. 1–5. 1.54 × gCMF-HBSS: 1.54-fold calcium- and magnesium-free HBSS -buffer supplemented with 1.54 mg/mL gelatin.
Cd64, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pe+a+anti+mouse+cd64+antibody/Mouse+Fc+gamma+RI%2FCD64+Antibody/pm40217124-259-6-7
Average 93 stars, based on 1 article reviews
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R&D Systems mouse anti cd 64
A schematic diagram on how to calculate the FCBI-index value of the patient with microbiologically confirmed Streptococcus pneumoniae pneumonia using the novel FCBI-index method. (a) The incubation of the whole blood sample with the receptor-specific antibodies, red blood cell lysis, and flow cytometry run were carried out one after another in the same test tube. (b) During the flow cytometry run, the leukocyte population within gate R1 was first gated out from the side scatter (SSC)/MHCI bivariate histogram, after which gates R2 (red) and R3 (blue) were set around neutrophil and lymphocyte populations, respectively, in the <t>SSC/CD64</t> bivariate histogram containing leukocytes inside gate R1. The stop count of 1000 monocytes inside the monocyte gate (black/R4) was used, leading to the collection of a total of 5000–20000 leukocytes. (c) For the purpose of data analysis, three additional bivariate histograms, namely SSC/CD35, SSC/CD64, and SSC/CD329 were made, showing mean fluorescence intensities (MFI, which correlate with the number of receptors on the cell surface) of gated neutrophil (red) and lymphocyte (blue) populations. In the SSC/CD35 histogram, B-lymphocytes expressing CD35 were left outside the lymphocyte gate. (d) The actual FCBI-index value was calculated by substituting the obtained receptor-specific MFI data from neutrophil and monocyte populations into the bacterial infection algorithm. A more detailed step-by-step description of the development of the FCBI-index method is presented in the method section and Supplementary Figs. 1–5. 1.54 × gCMF-HBSS: 1.54-fold calcium- and magnesium-free HBSS -buffer supplemented with 1.54 mg/mL gelatin.
Mouse Anti Cd 64, supplied by R&D Systems, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Sino Biological cd64
(A) Population restricted FC analysis to identify CD45 + CD3 − CD19 − NK1.1 − CD11b + Ly6G − SiglecF − <t>CD64</t> − Ly6C + MHCII − monocytes in uterine tissue digests. (B) Bar plot, FC quantification: Relative abundance of monocytes calculated as a percentage of total CD45 + cells per uterine horn. (C) Bar plot, FC quantification: Absolute counts of monocytes per uterine horn. (D) Population restricted FC analysis of CD45 + CD3 − CD19 − NK1.1 − CD11b + Ly6G − SiglecF − CD64 + Ly6C − F4/80 + MHCII + macrophages in uterine tissue digests. (E) Bar plot, FC quantification: Relative abundance of macrophages calculated as a percentage of total CD45 + cells per uterine horn. (F) Bar plot, FC quantification: Absolute counts of macrophages per uterine horn. (G) Population restricted FC analysis of CD45 + CD3 − CD19 − NK1.1 − CD11b + Ly6G + SiglecF − neutrophils in uterine tissue digests. (H) Bar plot, FC quantification: Relative abundance of neutrophils calculated as a percentage of total CD45 + cells per uterine horn. (I) Bar plot, FC quantification: Absolute counts of neutrophils per uterine horn. (FC analysis groups: control (n=15), 0 hr (prior to breakdown, n=17), 12 hr (tissue breakdown, n=22), 24 hr (tissue repair, n=16) and 48 hr (tissue remodelling, n=10) after progesterone withdrawal; statistical comparisons were made using Kruskal-Wallis tests with multiple comparisons. * p< 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001). (J-K) Immunohistochemical detection of CD14 + monocytes (cyan), CD64 + macrophages (yellow) and Ly6G + neutrophils (magenta) (merged and split channel) in uterine tissue cross sections at (J) 24 hr (repair, n=5) and (K) 48 hr (remodelling, n=3) following progesterone withdrawal (merged and split channel representative images, scale bar = 1000µm).
Cd64, supplied by Sino Biological, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cd64 - by Bioz Stars, 2026-10
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Image Search Results


A schematic diagram on how to calculate the FCBI-index value of the patient with microbiologically confirmed Streptococcus pneumoniae pneumonia using the novel FCBI-index method. (a) The incubation of the whole blood sample with the receptor-specific antibodies, red blood cell lysis, and flow cytometry run were carried out one after another in the same test tube. (b) During the flow cytometry run, the leukocyte population within gate R1 was first gated out from the side scatter (SSC)/MHCI bivariate histogram, after which gates R2 (red) and R3 (blue) were set around neutrophil and lymphocyte populations, respectively, in the SSC/CD64 bivariate histogram containing leukocytes inside gate R1. The stop count of 1000 monocytes inside the monocyte gate (black/R4) was used, leading to the collection of a total of 5000–20000 leukocytes. (c) For the purpose of data analysis, three additional bivariate histograms, namely SSC/CD35, SSC/CD64, and SSC/CD329 were made, showing mean fluorescence intensities (MFI, which correlate with the number of receptors on the cell surface) of gated neutrophil (red) and lymphocyte (blue) populations. In the SSC/CD35 histogram, B-lymphocytes expressing CD35 were left outside the lymphocyte gate. (d) The actual FCBI-index value was calculated by substituting the obtained receptor-specific MFI data from neutrophil and monocyte populations into the bacterial infection algorithm. A more detailed step-by-step description of the development of the FCBI-index method is presented in the method section and Supplementary Figs. 1–5. 1.54 × gCMF-HBSS: 1.54-fold calcium- and magnesium-free HBSS -buffer supplemented with 1.54 mg/mL gelatin.

Journal: EBioMedicine

Article Title: Rapid detection of bacterial infection using a novel single-tube, four-colour flow cytometric method: Comparison with PCT and CRP

doi: 10.1016/j.ebiom.2021.103724

Figure Lengend Snippet: A schematic diagram on how to calculate the FCBI-index value of the patient with microbiologically confirmed Streptococcus pneumoniae pneumonia using the novel FCBI-index method. (a) The incubation of the whole blood sample with the receptor-specific antibodies, red blood cell lysis, and flow cytometry run were carried out one after another in the same test tube. (b) During the flow cytometry run, the leukocyte population within gate R1 was first gated out from the side scatter (SSC)/MHCI bivariate histogram, after which gates R2 (red) and R3 (blue) were set around neutrophil and lymphocyte populations, respectively, in the SSC/CD64 bivariate histogram containing leukocytes inside gate R1. The stop count of 1000 monocytes inside the monocyte gate (black/R4) was used, leading to the collection of a total of 5000–20000 leukocytes. (c) For the purpose of data analysis, three additional bivariate histograms, namely SSC/CD35, SSC/CD64, and SSC/CD329 were made, showing mean fluorescence intensities (MFI, which correlate with the number of receptors on the cell surface) of gated neutrophil (red) and lymphocyte (blue) populations. In the SSC/CD35 histogram, B-lymphocytes expressing CD35 were left outside the lymphocyte gate. (d) The actual FCBI-index value was calculated by substituting the obtained receptor-specific MFI data from neutrophil and monocyte populations into the bacterial infection algorithm. A more detailed step-by-step description of the development of the FCBI-index method is presented in the method section and Supplementary Figs. 1–5. 1.54 × gCMF-HBSS: 1.54-fold calcium- and magnesium-free HBSS -buffer supplemented with 1.54 mg/mL gelatin.

Article Snippet: Fluorescence-conjugated receptor-specific monoclonal antibodies (test kit): Phycoerythrin (PE)-conjugated anti-human CD35 (Clone E11) was purchased from Ancell (ANC-184-050), PerCP-Vio700-conjugated anti-human CD64 (Clone 10.1.1) was purchased from Miltenyi Biotec (130-101-422), fluorescein isothiocyanate (FITC)-conjugated anti-human CD329 (Clone 191240) was purchased from R&D systems (FAB1139F) and AF647-conjugated anti-human MHC class I molecule (Clone W6/32) was purchased from R&D systems (FAB7098R). (Supplementary Table 5).

Techniques: Incubation, Red Blood Cell Lysis, Flow Cytometry, Fluorescence, Expressing, Infection

(A) Population restricted FC analysis to identify CD45 + CD3 − CD19 − NK1.1 − CD11b + Ly6G − SiglecF − CD64 − Ly6C + MHCII − monocytes in uterine tissue digests. (B) Bar plot, FC quantification: Relative abundance of monocytes calculated as a percentage of total CD45 + cells per uterine horn. (C) Bar plot, FC quantification: Absolute counts of monocytes per uterine horn. (D) Population restricted FC analysis of CD45 + CD3 − CD19 − NK1.1 − CD11b + Ly6G − SiglecF − CD64 + Ly6C − F4/80 + MHCII + macrophages in uterine tissue digests. (E) Bar plot, FC quantification: Relative abundance of macrophages calculated as a percentage of total CD45 + cells per uterine horn. (F) Bar plot, FC quantification: Absolute counts of macrophages per uterine horn. (G) Population restricted FC analysis of CD45 + CD3 − CD19 − NK1.1 − CD11b + Ly6G + SiglecF − neutrophils in uterine tissue digests. (H) Bar plot, FC quantification: Relative abundance of neutrophils calculated as a percentage of total CD45 + cells per uterine horn. (I) Bar plot, FC quantification: Absolute counts of neutrophils per uterine horn. (FC analysis groups: control (n=15), 0 hr (prior to breakdown, n=17), 12 hr (tissue breakdown, n=22), 24 hr (tissue repair, n=16) and 48 hr (tissue remodelling, n=10) after progesterone withdrawal; statistical comparisons were made using Kruskal-Wallis tests with multiple comparisons. * p< 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001). (J-K) Immunohistochemical detection of CD14 + monocytes (cyan), CD64 + macrophages (yellow) and Ly6G + neutrophils (magenta) (merged and split channel) in uterine tissue cross sections at (J) 24 hr (repair, n=5) and (K) 48 hr (remodelling, n=3) following progesterone withdrawal (merged and split channel representative images, scale bar = 1000µm).

Journal: bioRxiv

Article Title: Multimodal Profiling of Repair-associated Immune Dynamics in a Mouse Model of Menstruation

doi: 10.64898/2026.02.06.704418

Figure Lengend Snippet: (A) Population restricted FC analysis to identify CD45 + CD3 − CD19 − NK1.1 − CD11b + Ly6G − SiglecF − CD64 − Ly6C + MHCII − monocytes in uterine tissue digests. (B) Bar plot, FC quantification: Relative abundance of monocytes calculated as a percentage of total CD45 + cells per uterine horn. (C) Bar plot, FC quantification: Absolute counts of monocytes per uterine horn. (D) Population restricted FC analysis of CD45 + CD3 − CD19 − NK1.1 − CD11b + Ly6G − SiglecF − CD64 + Ly6C − F4/80 + MHCII + macrophages in uterine tissue digests. (E) Bar plot, FC quantification: Relative abundance of macrophages calculated as a percentage of total CD45 + cells per uterine horn. (F) Bar plot, FC quantification: Absolute counts of macrophages per uterine horn. (G) Population restricted FC analysis of CD45 + CD3 − CD19 − NK1.1 − CD11b + Ly6G + SiglecF − neutrophils in uterine tissue digests. (H) Bar plot, FC quantification: Relative abundance of neutrophils calculated as a percentage of total CD45 + cells per uterine horn. (I) Bar plot, FC quantification: Absolute counts of neutrophils per uterine horn. (FC analysis groups: control (n=15), 0 hr (prior to breakdown, n=17), 12 hr (tissue breakdown, n=22), 24 hr (tissue repair, n=16) and 48 hr (tissue remodelling, n=10) after progesterone withdrawal; statistical comparisons were made using Kruskal-Wallis tests with multiple comparisons. * p< 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001). (J-K) Immunohistochemical detection of CD14 + monocytes (cyan), CD64 + macrophages (yellow) and Ly6G + neutrophils (magenta) (merged and split channel) in uterine tissue cross sections at (J) 24 hr (repair, n=5) and (K) 48 hr (remodelling, n=3) following progesterone withdrawal (merged and split channel representative images, scale bar = 1000µm).

Article Snippet: Primary antibodies against CD3 (1:250 dilution; NB600-1441, Novus Biologicals), B220 (1:250 dilution; 14-0452-82, Invitrogen), CD14 (1:6000 dilution; ab221678, Abcam), CD64 (1:6000 dilution; 50086-R008, Sino Biological), Ly6G (1:10000 dilution; 127649, Biolegend) and DBA-lectin (1:1000 dilution; B-1035, Vector) were used in this study.

Techniques: Control, Immunohistochemical staining

Immunohistochemical detection of (A) CD14+ monocytes (cyan), (B) CD64+ macrophages (yellow) and (C) Ly6G+ neutrophils (magenta) in uterine tissue sections at 0hr (prior to breakdown, n=4), 12hr (tissue breakdown, n=5), 24hr (tissue repair, n=5) and 48hr (tissue remodelling, n=3) following progesterone withdrawal (representative images, scale bar=1000µm). (D) Merged channel representative images (scale bar=1000µm).

Journal: bioRxiv

Article Title: Multimodal Profiling of Repair-associated Immune Dynamics in a Mouse Model of Menstruation

doi: 10.64898/2026.02.06.704418

Figure Lengend Snippet: Immunohistochemical detection of (A) CD14+ monocytes (cyan), (B) CD64+ macrophages (yellow) and (C) Ly6G+ neutrophils (magenta) in uterine tissue sections at 0hr (prior to breakdown, n=4), 12hr (tissue breakdown, n=5), 24hr (tissue repair, n=5) and 48hr (tissue remodelling, n=3) following progesterone withdrawal (representative images, scale bar=1000µm). (D) Merged channel representative images (scale bar=1000µm).

Article Snippet: Primary antibodies against CD3 (1:250 dilution; NB600-1441, Novus Biologicals), B220 (1:250 dilution; 14-0452-82, Invitrogen), CD14 (1:6000 dilution; ab221678, Abcam), CD64 (1:6000 dilution; 50086-R008, Sino Biological), Ly6G (1:10000 dilution; 127649, Biolegend) and DBA-lectin (1:1000 dilution; B-1035, Vector) were used in this study.

Techniques: Immunohistochemical staining

(A) Population restricted FC analysis to identify CD45+ CD3- CD19- NK1.1- Ly6G- CD64- CD11c+ MHCII+ dendritic cells (DCs) in uterine tissue digests. (B) Bar plot, FC quantification: Relative abundance of DCs calculated as a percentage of total CD45+ cells per uterine horn. (C) Bar plot, FC quantification: Absolute counts of DCs per uterine horn. (D) Population restricted FC analysis to CD45+ CD3- CD19- NK1.1- CD11b+ Ly6G- SiglecF+ eosinophils in uterine tissue digests. (E) Bar plot, FC quantification: Relative abundance of eosinophils calculated as a percentage of total CD45+ cells per uterine horn. (F) Bar plot, FC quantification: Absolute counts of eosinophils per uterine horn. (FC analysis groups: control (n=15), 0hr (prior to breakdown, n=17), 12hr (tissue breakdown, n=22), 24hr (tissue repair, n=16) and 48hr (tissue remodelling, n=10) after progesterone withdrawal; statistical comparisons were made using Kruskal-Wallis tests with multiple comparisons. and * p< 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).

Journal: bioRxiv

Article Title: Multimodal Profiling of Repair-associated Immune Dynamics in a Mouse Model of Menstruation

doi: 10.64898/2026.02.06.704418

Figure Lengend Snippet: (A) Population restricted FC analysis to identify CD45+ CD3- CD19- NK1.1- Ly6G- CD64- CD11c+ MHCII+ dendritic cells (DCs) in uterine tissue digests. (B) Bar plot, FC quantification: Relative abundance of DCs calculated as a percentage of total CD45+ cells per uterine horn. (C) Bar plot, FC quantification: Absolute counts of DCs per uterine horn. (D) Population restricted FC analysis to CD45+ CD3- CD19- NK1.1- CD11b+ Ly6G- SiglecF+ eosinophils in uterine tissue digests. (E) Bar plot, FC quantification: Relative abundance of eosinophils calculated as a percentage of total CD45+ cells per uterine horn. (F) Bar plot, FC quantification: Absolute counts of eosinophils per uterine horn. (FC analysis groups: control (n=15), 0hr (prior to breakdown, n=17), 12hr (tissue breakdown, n=22), 24hr (tissue repair, n=16) and 48hr (tissue remodelling, n=10) after progesterone withdrawal; statistical comparisons were made using Kruskal-Wallis tests with multiple comparisons. and * p< 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001).

Article Snippet: Primary antibodies against CD3 (1:250 dilution; NB600-1441, Novus Biologicals), B220 (1:250 dilution; 14-0452-82, Invitrogen), CD14 (1:6000 dilution; ab221678, Abcam), CD64 (1:6000 dilution; 50086-R008, Sino Biological), Ly6G (1:10000 dilution; 127649, Biolegend) and DBA-lectin (1:1000 dilution; B-1035, Vector) were used in this study.

Techniques: Control