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mouse anti cd45 monoclonal antibody  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc mouse anti cd45 monoclonal antibody
    Mouse Anti Cd45 Monoclonal Antibody, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 93/100, based on 16 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/monoclonal+anti+mouse+cd45/CD45+Mouse+mAb/pm40764393-388-20-27
    Average 93 stars, based on 16 article reviews
    mouse anti cd45 monoclonal antibody - by Bioz Stars, 2026-10
    93/100 stars

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    Related Articles

    Immunocytochemistry:

    Article Title: Treatment with gelsolin reduces brain inflammation and apoptotic signaling in mice following thermal injury.
    Article Snippet: .. Sections used for immunocytochemistry were incubated in 0.3% hydrogen peroxide (H2O2) for 10 min, and incubated free-floating in antibodies (Abs) of polyclonal anti-mouse ionized calcium-binding adapter molecule 1 (Iba-1, 1:1000; Wako, Osaka, Japan), monoclonal anti-mouse CD11b (Mac-1, 1:1000; EuroBioScience, Lund, Sweden), monoclonal anti-mouse CD45 (1:1000; EuroBioScience), or rabbit anti-cleaved caspase-3 (1:50; Cell Signaling, Danvers, MA, USA) with 3% normal goat serum, 0.05%Triton-X in PBS, for 24-48 h rotating at 4°C. .. The tissue was then rinsed in PBS and incubated for 1 h in biotinylated anti-rabbit IgG (1:200; Vector Laboratories, Burlingame, CA, USA), rotating at room temperature.

    Article Title: Treatment with gelsolin reduces brain inflammation and apoptotic signaling in mice following thermal injury
    Article Snippet: .. Sections used for immunocytochemistry were incubated in 0.3% hydrogen peroxide (H 2 O 2 ) for 10 min, and incubated free-floating in antibodies (Abs) of polyclonal anti-mouse ionized calcium-binding adapter molecule 1 (Iba-1, 1:1000; Wako, Osaka, Japan), monoclonal anti-mouse CD11b (Mac-1, 1:1000; EuroBioScience, Lund, Sweden), monoclonal anti-mouse CD45 (1:1000; EuroBioScience), or rabbit anti-cleaved caspase-3 (1:50; Cell Signaling, Danvers, MA, USA) with 3% normal goat serum, 0.05%Triton-X in PBS, for 24-48 h rotating at 4°C. .. Sections used for immunocytochemistry were incubated in 0.3% hydrogen peroxide (H 2 O 2 ) for 10 min, and incubated free-floating in antibodies (Abs) of polyclonal anti-mouse ionized calcium-binding adapter molecule 1 (Iba-1, 1:1000; Wako, Osaka, Japan), monoclonal anti-mouse CD11b (Mac-1, 1:1000; EuroBioScience, Lund, Sweden), monoclonal anti-mouse CD45 (1:1000; EuroBioScience), or rabbit anti-cleaved caspase-3 (1:50; Cell Signaling, Danvers, MA, USA) with 3% normal goat serum, 0.05%Triton-X in PBS, for 24-48 h rotating at 4°C.

    Incubation:

    Article Title: Treatment with gelsolin reduces brain inflammation and apoptotic signaling in mice following thermal injury.
    Article Snippet: .. Sections used for immunocytochemistry were incubated in 0.3% hydrogen peroxide (H2O2) for 10 min, and incubated free-floating in antibodies (Abs) of polyclonal anti-mouse ionized calcium-binding adapter molecule 1 (Iba-1, 1:1000; Wako, Osaka, Japan), monoclonal anti-mouse CD11b (Mac-1, 1:1000; EuroBioScience, Lund, Sweden), monoclonal anti-mouse CD45 (1:1000; EuroBioScience), or rabbit anti-cleaved caspase-3 (1:50; Cell Signaling, Danvers, MA, USA) with 3% normal goat serum, 0.05%Triton-X in PBS, for 24-48 h rotating at 4°C. .. The tissue was then rinsed in PBS and incubated for 1 h in biotinylated anti-rabbit IgG (1:200; Vector Laboratories, Burlingame, CA, USA), rotating at room temperature.

    Article Title: Treatment with gelsolin reduces brain inflammation and apoptotic signaling in mice following thermal injury
    Article Snippet: .. Sections used for immunocytochemistry were incubated in 0.3% hydrogen peroxide (H 2 O 2 ) for 10 min, and incubated free-floating in antibodies (Abs) of polyclonal anti-mouse ionized calcium-binding adapter molecule 1 (Iba-1, 1:1000; Wako, Osaka, Japan), monoclonal anti-mouse CD11b (Mac-1, 1:1000; EuroBioScience, Lund, Sweden), monoclonal anti-mouse CD45 (1:1000; EuroBioScience), or rabbit anti-cleaved caspase-3 (1:50; Cell Signaling, Danvers, MA, USA) with 3% normal goat serum, 0.05%Triton-X in PBS, for 24-48 h rotating at 4°C. .. Sections used for immunocytochemistry were incubated in 0.3% hydrogen peroxide (H 2 O 2 ) for 10 min, and incubated free-floating in antibodies (Abs) of polyclonal anti-mouse ionized calcium-binding adapter molecule 1 (Iba-1, 1:1000; Wako, Osaka, Japan), monoclonal anti-mouse CD11b (Mac-1, 1:1000; EuroBioScience, Lund, Sweden), monoclonal anti-mouse CD45 (1:1000; EuroBioScience), or rabbit anti-cleaved caspase-3 (1:50; Cell Signaling, Danvers, MA, USA) with 3% normal goat serum, 0.05%Triton-X in PBS, for 24-48 h rotating at 4°C.



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    (a) Schematic of the smFC system integrating oblique light-sheet illumination/detection enabling volumetric imaging. (b) Conceptual illustration of membrane protein labelling on cells for three conditions: (1) 0 pM unlabelled control, (2) low-concentration labelling (single-molecule regime), and standard labelling (saturating antibody concentration). (c) Left: Flow cytometry histograms of <t>ATTO647N/CD45-labelled</t> fixed Jurkat T cells at three labelling levels: unlabelled (control), low concentration (3 pM), and standard concentration (30 nM). Only the standard-labelled sample shows a distinct fluorescence peak, while the low-labelled population overlaps with the control (indicated by arrow), highlighting the detection limit of conventional FC. Right: Similar for SBB700/CD45. (d) Maximum intensity projection images from a deskewed z-stack of ATTO647N/CD45-labelled Jurkat T cells. Cells were imaged in 3D using OPM by scanning with x-translation, revealing individual fluorophores localised on the membrane. Scale bar = 10 µ m. (e) ATTO647N counts using OPM for the control (0 pM) and single-molecule regime (30 pM). Means reported and error bars represent standard deviation. (f) as for d but with secondary SBB700/CD45 labelling and with the cells in continuous motion to emulate the effects of flow. (g) As for (e) but for SBB700/CD45.
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    Image Search Results


    (a) Schematic of the smFC system integrating oblique light-sheet illumination/detection enabling volumetric imaging. (b) Conceptual illustration of membrane protein labelling on cells for three conditions: (1) 0 pM unlabelled control, (2) low-concentration labelling (single-molecule regime), and standard labelling (saturating antibody concentration). (c) Left: Flow cytometry histograms of ATTO647N/CD45-labelled fixed Jurkat T cells at three labelling levels: unlabelled (control), low concentration (3 pM), and standard concentration (30 nM). Only the standard-labelled sample shows a distinct fluorescence peak, while the low-labelled population overlaps with the control (indicated by arrow), highlighting the detection limit of conventional FC. Right: Similar for SBB700/CD45. (d) Maximum intensity projection images from a deskewed z-stack of ATTO647N/CD45-labelled Jurkat T cells. Cells were imaged in 3D using OPM by scanning with x-translation, revealing individual fluorophores localised on the membrane. Scale bar = 10 µ m. (e) ATTO647N counts using OPM for the control (0 pM) and single-molecule regime (30 pM). Means reported and error bars represent standard deviation. (f) as for d but with secondary SBB700/CD45 labelling and with the cells in continuous motion to emulate the effects of flow. (g) As for (e) but for SBB700/CD45.

    Journal: bioRxiv

    Article Title: Single-molecule flow cytometry

    doi: 10.1101/2025.08.26.672174

    Figure Lengend Snippet: (a) Schematic of the smFC system integrating oblique light-sheet illumination/detection enabling volumetric imaging. (b) Conceptual illustration of membrane protein labelling on cells for three conditions: (1) 0 pM unlabelled control, (2) low-concentration labelling (single-molecule regime), and standard labelling (saturating antibody concentration). (c) Left: Flow cytometry histograms of ATTO647N/CD45-labelled fixed Jurkat T cells at three labelling levels: unlabelled (control), low concentration (3 pM), and standard concentration (30 nM). Only the standard-labelled sample shows a distinct fluorescence peak, while the low-labelled population overlaps with the control (indicated by arrow), highlighting the detection limit of conventional FC. Right: Similar for SBB700/CD45. (d) Maximum intensity projection images from a deskewed z-stack of ATTO647N/CD45-labelled Jurkat T cells. Cells were imaged in 3D using OPM by scanning with x-translation, revealing individual fluorophores localised on the membrane. Scale bar = 10 µ m. (e) ATTO647N counts using OPM for the control (0 pM) and single-molecule regime (30 pM). Means reported and error bars represent standard deviation. (f) as for d but with secondary SBB700/CD45 labelling and with the cells in continuous motion to emulate the effects of flow. (g) As for (e) but for SBB700/CD45.

    Article Snippet: Alternative probes were also evaluated including Brilliant Violet anti-human CD45 (Clone HI30, 304043, BioLegend) and RPE-Astral616 anti-human CD45 (Clone 2D1, P012-R616-125, Biotium).

    Techniques: Imaging, Membrane, Control, Concentration Assay, Flow Cytometry, Fluorescence, Standard Deviation

    (a) Schematic of cells labelled with SBB700/CD45 in flow imaged with smFC. (b) Representative montage (t numbers correspond to frame) of a live Jurkat T cell labelled at low SBB700/CD45 primary antibody concentration (3 pM) imaged in flow using smFC. Individual membrane-bound fluorophores are visible. Scale bar = 5 µ m. (c) Maximum intensity projections of cells labelled at different concentrations imaged using smFC. Control (0 pM) shows diffuse background but no single molecules, while 1 pM shows three molecules. Scale bar = 5 µ m. (d) 2 seconds of smFC imaging in the fluorescence (top) and brightfield (bottom) channels, rapidly capturing data for 10 cells. Scale bar = 100 µ m. (e) CD45 distributions at different primary antibody concentrations, demonstrating sensitivity within the 1-10 mol/cell range. Bars are shifted for visual interpretation. (f) Comparison of quantification of cells from the same sample using smFC and conventional FC. Hybrid single-molecule/intensity analysis allows smFC to span the entire detection range (1-10,000 mol/cell), while affording a ∼ 30 reduction in background signal for the control, allowing digital detection capability between 1-50 mol/cell. Data is presented as mean±standard deviation for smFC and geometric mean±robust standard deviation for FC to minimise effects of outliers.

    Journal: bioRxiv

    Article Title: Single-molecule flow cytometry

    doi: 10.1101/2025.08.26.672174

    Figure Lengend Snippet: (a) Schematic of cells labelled with SBB700/CD45 in flow imaged with smFC. (b) Representative montage (t numbers correspond to frame) of a live Jurkat T cell labelled at low SBB700/CD45 primary antibody concentration (3 pM) imaged in flow using smFC. Individual membrane-bound fluorophores are visible. Scale bar = 5 µ m. (c) Maximum intensity projections of cells labelled at different concentrations imaged using smFC. Control (0 pM) shows diffuse background but no single molecules, while 1 pM shows three molecules. Scale bar = 5 µ m. (d) 2 seconds of smFC imaging in the fluorescence (top) and brightfield (bottom) channels, rapidly capturing data for 10 cells. Scale bar = 100 µ m. (e) CD45 distributions at different primary antibody concentrations, demonstrating sensitivity within the 1-10 mol/cell range. Bars are shifted for visual interpretation. (f) Comparison of quantification of cells from the same sample using smFC and conventional FC. Hybrid single-molecule/intensity analysis allows smFC to span the entire detection range (1-10,000 mol/cell), while affording a ∼ 30 reduction in background signal for the control, allowing digital detection capability between 1-50 mol/cell. Data is presented as mean±standard deviation for smFC and geometric mean±robust standard deviation for FC to minimise effects of outliers.

    Article Snippet: Alternative probes were also evaluated including Brilliant Violet anti-human CD45 (Clone HI30, 304043, BioLegend) and RPE-Astral616 anti-human CD45 (Clone 2D1, P012-R616-125, Biotium).

    Techniques: Concentration Assay, Membrane, Control, Imaging, Fluorescence, Comparison, Standard Deviation

    Expression and immune correlation of hub genes (A) Violin plots show the expression levels of PTPRC and ITGB2 in EBVaGC (blue) and EBVnGC (red) from the TCGA-STAD cohort. Statistical significance is indicated (∗ p < 0.05 and ∗∗ p < 0.01). (B) Correlation heatmap illustrates the relationships between hub genes (PTPRC and ITGB2) and 22 tumor-infiltrating immune cell subsets. Circle size and color intensity represent the strength of correlation, with orange indicating positive correlations and teal indicating negative correlations. (C) Scatterplots demonstrates correlations between PTPRC expression and infiltration levels of five immune cell types: B cells memory, CD4 + memory activated T cells, CD8 + T cells, M1 macrophages, and M2 macrophages. Pearson’s correlation coefficients (R) and p values are shown for each comparison. (D) Scatterplots show correlations between ITGB2 expression and infiltration levels of the same five immune cell types as in (C). Pearson’s correlation coefficients (R) and p values are indicated.

    Journal: iScience

    Article Title: Immune hub genes and a proof-of-concept prognostic signature in EBV-associated gastric carcinoma

    doi: 10.1016/j.isci.2026.115243

    Figure Lengend Snippet: Expression and immune correlation of hub genes (A) Violin plots show the expression levels of PTPRC and ITGB2 in EBVaGC (blue) and EBVnGC (red) from the TCGA-STAD cohort. Statistical significance is indicated (∗ p < 0.05 and ∗∗ p < 0.01). (B) Correlation heatmap illustrates the relationships between hub genes (PTPRC and ITGB2) and 22 tumor-infiltrating immune cell subsets. Circle size and color intensity represent the strength of correlation, with orange indicating positive correlations and teal indicating negative correlations. (C) Scatterplots demonstrates correlations between PTPRC expression and infiltration levels of five immune cell types: B cells memory, CD4 + memory activated T cells, CD8 + T cells, M1 macrophages, and M2 macrophages. Pearson’s correlation coefficients (R) and p values are shown for each comparison. (D) Scatterplots show correlations between ITGB2 expression and infiltration levels of the same five immune cell types as in (C). Pearson’s correlation coefficients (R) and p values are indicated.

    Article Snippet: Anti-CD45 (PTPRC), mouse monoclonal, clone PD7/26+2B11 , Zhongshan Golden Bridge Biotechnology (ZSGB-BIO) , Cat# Kit-0024.

    Techniques: Expressing, Comparison

    Increased CD18+, CD45+, and CD68 + immune-cell infiltration in EBVaGC (A) Representative immunohistochemistry (IHC) micrographs for CD18, CD45, and CD68 in EBVaGC (top) and EBVnGC (bottom). Brown DAB indicates positive staining; hematoxylin counterstain. Images were acquired at 40× objective; scale bars, 50 μm. (B) Dot-and-box plots showing quantitative cell densities (cells/mm 2 ) of CD18 + , CD45 + , and CD68 + cells in EBVaGC versus EBVnGC. Each dot represents one case (EBVaGC n = 20; EBVnGC n = 20; per case, the mean of ≥3 non-necrotic high-power fields was used). Boxes show IQR, center line the median, whiskers the range. p values are from two-sided exact Wilcoxon rank-sum tests (CD18: ∗∗∗ p < 0.0001; CD45: ∗∗∗ p < 0.0001; and CD68: ∗∗∗ p < 0.0001). Units and statistics are indicated on the plots.

    Journal: iScience

    Article Title: Immune hub genes and a proof-of-concept prognostic signature in EBV-associated gastric carcinoma

    doi: 10.1016/j.isci.2026.115243

    Figure Lengend Snippet: Increased CD18+, CD45+, and CD68 + immune-cell infiltration in EBVaGC (A) Representative immunohistochemistry (IHC) micrographs for CD18, CD45, and CD68 in EBVaGC (top) and EBVnGC (bottom). Brown DAB indicates positive staining; hematoxylin counterstain. Images were acquired at 40× objective; scale bars, 50 μm. (B) Dot-and-box plots showing quantitative cell densities (cells/mm 2 ) of CD18 + , CD45 + , and CD68 + cells in EBVaGC versus EBVnGC. Each dot represents one case (EBVaGC n = 20; EBVnGC n = 20; per case, the mean of ≥3 non-necrotic high-power fields was used). Boxes show IQR, center line the median, whiskers the range. p values are from two-sided exact Wilcoxon rank-sum tests (CD18: ∗∗∗ p < 0.0001; CD45: ∗∗∗ p < 0.0001; and CD68: ∗∗∗ p < 0.0001). Units and statistics are indicated on the plots.

    Article Snippet: Anti-CD45 (PTPRC), mouse monoclonal, clone PD7/26+2B11 , Zhongshan Golden Bridge Biotechnology (ZSGB-BIO) , Cat# Kit-0024.

    Techniques: Immunohistochemistry, Staining

    Construction and characterization of the four-gene immune score model in EBVaGC (A) Co-expression analysis of PTPRC and ITGB2 in EBVaGC samples. High-high expression pairs are highlighted in red. (B) GO biological process enrichment of immune genes co-expressed with PTPRC and ITGB2, highlighting terms such as leukocyte-mediated immunity and T cell activation. (C) KEGG pathway enrichment showing cytokine-cytokine receptor interaction, chemokine signaling, and other immune-related pathways. (D) LASSO Cox regression coefficients (lambda.min) for the selected prognostic genes GMPR and TIMD4. (E) Heatmap of GMPR and TIMD4 expression across risk groups. (F) Forest plot of multivariate Cox regression showing hazard ratios (HRs) and 95% confidence intervals for the four model genes. (G) GO enrichment of the final model genes, revealing involvement in phagocytosis, glial cell activation, and inflammatory response. (H) KEGG enrichment of model genes, with pathways such as cell adhesion molecules and primary immunodeficiency.

    Journal: iScience

    Article Title: Immune hub genes and a proof-of-concept prognostic signature in EBV-associated gastric carcinoma

    doi: 10.1016/j.isci.2026.115243

    Figure Lengend Snippet: Construction and characterization of the four-gene immune score model in EBVaGC (A) Co-expression analysis of PTPRC and ITGB2 in EBVaGC samples. High-high expression pairs are highlighted in red. (B) GO biological process enrichment of immune genes co-expressed with PTPRC and ITGB2, highlighting terms such as leukocyte-mediated immunity and T cell activation. (C) KEGG pathway enrichment showing cytokine-cytokine receptor interaction, chemokine signaling, and other immune-related pathways. (D) LASSO Cox regression coefficients (lambda.min) for the selected prognostic genes GMPR and TIMD4. (E) Heatmap of GMPR and TIMD4 expression across risk groups. (F) Forest plot of multivariate Cox regression showing hazard ratios (HRs) and 95% confidence intervals for the four model genes. (G) GO enrichment of the final model genes, revealing involvement in phagocytosis, glial cell activation, and inflammatory response. (H) KEGG enrichment of model genes, with pathways such as cell adhesion molecules and primary immunodeficiency.

    Article Snippet: Anti-CD45 (PTPRC), mouse monoclonal, clone PD7/26+2B11 , Zhongshan Golden Bridge Biotechnology (ZSGB-BIO) , Cat# Kit-0024.

    Techniques: Expressing, Activation Assay

    Flow cytometric characterization of parental hTERT-ADSC and ADSC.CD.sTRAIL cells. Representative flow histograms for surface markers. Blue peaks = specific antibody staining; gray peaks = isotype control. Both cell types were strongly positive for MSC markers CD90 and CD105, and negative for hematopoietic markers CD34 and CD45. These results confirm maintenance of the MSC phenotype after immortalization and genetic modification. Abbreviations: ADSC—adipose-derived stem cell.

    Journal: International Journal of Molecular Sciences

    Article Title: Cytosine Deaminase-TRAIL Expressing Human Adipose Stem Cells Inhibit Tumor Growth in Castration Resistant Prostate Cancer Bearing Mice with Less Toxicity

    doi: 10.3390/ijms27031563

    Figure Lengend Snippet: Flow cytometric characterization of parental hTERT-ADSC and ADSC.CD.sTRAIL cells. Representative flow histograms for surface markers. Blue peaks = specific antibody staining; gray peaks = isotype control. Both cell types were strongly positive for MSC markers CD90 and CD105, and negative for hematopoietic markers CD34 and CD45. These results confirm maintenance of the MSC phenotype after immortalization and genetic modification. Abbreviations: ADSC—adipose-derived stem cell.

    Article Snippet: Cells were stained with antibodies against canonical MSC surface markers CD29, CD90, and CD105, as well as hematopoietic lineage markers CD34 and CD45 (all antibodies 1:50 dilution; Origene or Invitrogen, Rockville, MD, USA).

    Techniques: Staining, Control, Modification, Derivative Assay