Review



flow cytometry staining analysis  (Bioss)


Bioz Verified Symbol Bioss is a verified supplier
Bioz Manufacturer Symbol Bioss manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 94

    Structured Review

    Bioss flow cytometry staining analysis
    Immune markers were used to detect the type of immune cells in mice with sepsis and liver immune cell typing by single cell RNA sequencing. ( A ) Flow <t>cytometry</t> results of immune T lymphocytes (CD3+). ( B ) Flow cytometry results of immune B lymphocytes (CD19+). ( C ) Flow cytometry results of immune Macrophages (F4/80+). ( D ) Flow cytometry results of immune NK cells (NK1.1+). ( E ) Single-cell sequencing screened out the T-cell-related immune gene FCER1G in liver injury caused by sepsis. ( F ) Single-cell sequencing screened out the T-cell-related immune gene IL2RB in liver injury caused by sepsis. ( G ) Single-cell sequencing screened out the T-cell-related immune gene PTGDR in liver injury caused by sepsis. ( H ) Single-cell sequencing screened out the T-cell-related immune gene XCL1 in liver injury caused by sepsis.
    Flow Cytometry Staining Analysis, supplied by Bioss, used in various techniques. Bioz Stars score: 94/100, based on 4 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/flow cytometry staining analysis/product/Bioss
    Average 94 stars, based on 4 article reviews
    flow cytometry staining analysis - by Bioz Stars, 2026-06
    94/100 stars

    Images

    1) Product Images from "Multi-Omics Analysis Identifies Immune Regulatory Networks in Sepsis-Associated Liver Injury: Experimental Validation and Clinical Relevance"

    Article Title: Multi-Omics Analysis Identifies Immune Regulatory Networks in Sepsis-Associated Liver Injury: Experimental Validation and Clinical Relevance

    Journal: Journal of Inflammation Research

    doi: 10.2147/JIR.S515615

    Immune markers were used to detect the type of immune cells in mice with sepsis and liver immune cell typing by single cell RNA sequencing. ( A ) Flow cytometry results of immune T lymphocytes (CD3+). ( B ) Flow cytometry results of immune B lymphocytes (CD19+). ( C ) Flow cytometry results of immune Macrophages (F4/80+). ( D ) Flow cytometry results of immune NK cells (NK1.1+). ( E ) Single-cell sequencing screened out the T-cell-related immune gene FCER1G in liver injury caused by sepsis. ( F ) Single-cell sequencing screened out the T-cell-related immune gene IL2RB in liver injury caused by sepsis. ( G ) Single-cell sequencing screened out the T-cell-related immune gene PTGDR in liver injury caused by sepsis. ( H ) Single-cell sequencing screened out the T-cell-related immune gene XCL1 in liver injury caused by sepsis.
    Figure Legend Snippet: Immune markers were used to detect the type of immune cells in mice with sepsis and liver immune cell typing by single cell RNA sequencing. ( A ) Flow cytometry results of immune T lymphocytes (CD3+). ( B ) Flow cytometry results of immune B lymphocytes (CD19+). ( C ) Flow cytometry results of immune Macrophages (F4/80+). ( D ) Flow cytometry results of immune NK cells (NK1.1+). ( E ) Single-cell sequencing screened out the T-cell-related immune gene FCER1G in liver injury caused by sepsis. ( F ) Single-cell sequencing screened out the T-cell-related immune gene IL2RB in liver injury caused by sepsis. ( G ) Single-cell sequencing screened out the T-cell-related immune gene PTGDR in liver injury caused by sepsis. ( H ) Single-cell sequencing screened out the T-cell-related immune gene XCL1 in liver injury caused by sepsis.

    Techniques Used: RNA Sequencing, Flow Cytometry, Sequencing



    Similar Products

    94
    Bioss flow cytometry staining analysis
    Immune markers were used to detect the type of immune cells in mice with sepsis and liver immune cell typing by single cell RNA sequencing. ( A ) Flow <t>cytometry</t> results of immune T lymphocytes (CD3+). ( B ) Flow cytometry results of immune B lymphocytes (CD19+). ( C ) Flow cytometry results of immune Macrophages (F4/80+). ( D ) Flow cytometry results of immune NK cells (NK1.1+). ( E ) Single-cell sequencing screened out the T-cell-related immune gene FCER1G in liver injury caused by sepsis. ( F ) Single-cell sequencing screened out the T-cell-related immune gene IL2RB in liver injury caused by sepsis. ( G ) Single-cell sequencing screened out the T-cell-related immune gene PTGDR in liver injury caused by sepsis. ( H ) Single-cell sequencing screened out the T-cell-related immune gene XCL1 in liver injury caused by sepsis.
    Flow Cytometry Staining Analysis, supplied by Bioss, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/flow cytometry staining analysis/product/Bioss
    Average 94 stars, based on 1 article reviews
    flow cytometry staining analysis - by Bioz Stars, 2026-06
    94/100 stars
      Buy from Supplier

    96
    Multi Sciences (Lianke) Biotech Co Ltd flow cytometry analysis
    Immune markers were used to detect the type of immune cells in mice with sepsis and liver immune cell typing by single cell RNA sequencing. ( A ) Flow <t>cytometry</t> results of immune T lymphocytes (CD3+). ( B ) Flow cytometry results of immune B lymphocytes (CD19+). ( C ) Flow cytometry results of immune Macrophages (F4/80+). ( D ) Flow cytometry results of immune NK cells (NK1.1+). ( E ) Single-cell sequencing screened out the T-cell-related immune gene FCER1G in liver injury caused by sepsis. ( F ) Single-cell sequencing screened out the T-cell-related immune gene IL2RB in liver injury caused by sepsis. ( G ) Single-cell sequencing screened out the T-cell-related immune gene PTGDR in liver injury caused by sepsis. ( H ) Single-cell sequencing screened out the T-cell-related immune gene XCL1 in liver injury caused by sepsis.
    Flow Cytometry Analysis, supplied by Multi Sciences (Lianke) Biotech Co Ltd, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/flow cytometry analysis/product/Multi Sciences (Lianke) Biotech Co Ltd
    Average 96 stars, based on 1 article reviews
    flow cytometry analysis - by Bioz Stars, 2026-06
    96/100 stars
      Buy from Supplier

    96
    R&D Systems flow cytometry analysis
    NK cell dysfunction is linked to suppressed STING expression in MASH patients with advanced liver fibrosis. The percentages of cells expressing ( a ) CD107a, ( b ) NKp46, ( c ) LAIR-1, and ( d ) Siglec7 in NK from healthy controls and metabolic dysfunction-associated steatohepatitis (MASH) patients with early (F1/F2) and advanced (F3/F4) fibrosis scores as determined by METAVIR were measured by flow <t>cytometry.</t> ( e ) Quantitation of STING mRNA in peripheral NK cells obtained from healthy individuals (considered as control) and patients with MASH with varying degrees of fibrosis scoring were assessed via RT-PCR. The data are presented as a fold change compared with healthy controls. The housekeeping gene GAPDH was used as the internal control for normalization. Flow cytometry analysis showed the percentages of cells expressing ( f ) STING and ( g ) IFN-γ in NK from healthy controls and MASH patients with early (F1/F2) and advanced (F3/F4) fibrosis. ( h ) A coculture cytotoxicity assay using a 1:1 ratio of NK cells (from healthy donors and MASH patients with early and advanced fibrosis scores) and pHSCs obtained from F3/F4 MASH patients was performed, and annexin V (%) expression was assessed in the pHSCs as a marker of apoptosis using flow cytometry. The horizontal dotted line indicates the baseline results from monoculture conditions. In the flow cytometry experiments, an isotype-matched IgG antibody conjugated to the appropriate fluorochrome was used as a control. Data are expressed as the mean ± standard deviation (SD). Statistical significance was assessed using Newman–Keuls two-way analysis of variance (ANOVA), with significance levels denoted as follows: * p < 0.01, ** p < 0.001, *** p < 0.0001, and **** p < 0.00001. ns = not significant. Group sizes were as follows: healthy controls ( n = 10), early liver fibrosis ( n = 10), and advanced liver fibrosis ( n = 10).
    Flow Cytometry Analysis, supplied by R&D Systems, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/flow cytometry analysis/product/R&D Systems
    Average 96 stars, based on 1 article reviews
    flow cytometry analysis - by Bioz Stars, 2026-06
    96/100 stars
      Buy from Supplier

    96
    R&D Systems c flow cytometry analysis
    Identification of 5E17 as a GBM-specific mAb. A Strategy for the identification of the GBM-specific mAb 5E17. B Representative flow <t>cytometry</t> findings of 5E17 mAb bound to GBM and nonmalignant brain cells from patients. Analyses of live (PI-negative) cells are shown. The results of staining with the isotype or negative control instead of anti-5E17 mAb, CD31, CD45, or CD90 are shown to draw the gate for 5E17-positive cells. Analyses of the other patients are shown in Supplementary Fig. 2. Blue histogram indicates isotype control. SSC, side scatter. C Mean fluorescence intensity (means ± standard error of the mean) of flow cytometry findings bound to GBM ( n = 7) and nonmalignant brain cells ( n = 6) from patients. Each plot shows the mean fluorescence intensity. GBM cells were assessed as CD31-CD45-CD90 + cells, and nonmalignant tumor cells were assessed as CD31-CD45- cells. * p < 0.05, calculated using a Mann–Whitney U -test
    C Flow Cytometry Analysis, supplied by R&D Systems, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/c flow cytometry analysis/product/R&D Systems
    Average 96 stars, based on 1 article reviews
    c flow cytometry analysis - by Bioz Stars, 2026-06
    96/100 stars
      Buy from Supplier

    95
    Cytek Biosciences flow cytometry analysis
    Identification of 5E17 as a GBM-specific mAb. A Strategy for the identification of the GBM-specific mAb 5E17. B Representative flow <t>cytometry</t> findings of 5E17 mAb bound to GBM and nonmalignant brain cells from patients. Analyses of live (PI-negative) cells are shown. The results of staining with the isotype or negative control instead of anti-5E17 mAb, CD31, CD45, or CD90 are shown to draw the gate for 5E17-positive cells. Analyses of the other patients are shown in Supplementary Fig. 2. Blue histogram indicates isotype control. SSC, side scatter. C Mean fluorescence intensity (means ± standard error of the mean) of flow cytometry findings bound to GBM ( n = 7) and nonmalignant brain cells ( n = 6) from patients. Each plot shows the mean fluorescence intensity. GBM cells were assessed as CD31-CD45-CD90 + cells, and nonmalignant tumor cells were assessed as CD31-CD45- cells. * p < 0.05, calculated using a Mann–Whitney U -test
    Flow Cytometry Analysis, supplied by Cytek Biosciences, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/flow cytometry analysis/product/Cytek Biosciences
    Average 95 stars, based on 1 article reviews
    flow cytometry analysis - by Bioz Stars, 2026-06
    95/100 stars
      Buy from Supplier

    Image Search Results


    Immune markers were used to detect the type of immune cells in mice with sepsis and liver immune cell typing by single cell RNA sequencing. ( A ) Flow cytometry results of immune T lymphocytes (CD3+). ( B ) Flow cytometry results of immune B lymphocytes (CD19+). ( C ) Flow cytometry results of immune Macrophages (F4/80+). ( D ) Flow cytometry results of immune NK cells (NK1.1+). ( E ) Single-cell sequencing screened out the T-cell-related immune gene FCER1G in liver injury caused by sepsis. ( F ) Single-cell sequencing screened out the T-cell-related immune gene IL2RB in liver injury caused by sepsis. ( G ) Single-cell sequencing screened out the T-cell-related immune gene PTGDR in liver injury caused by sepsis. ( H ) Single-cell sequencing screened out the T-cell-related immune gene XCL1 in liver injury caused by sepsis.

    Journal: Journal of Inflammation Research

    Article Title: Multi-Omics Analysis Identifies Immune Regulatory Networks in Sepsis-Associated Liver Injury: Experimental Validation and Clinical Relevance

    doi: 10.2147/JIR.S515615

    Figure Lengend Snippet: Immune markers were used to detect the type of immune cells in mice with sepsis and liver immune cell typing by single cell RNA sequencing. ( A ) Flow cytometry results of immune T lymphocytes (CD3+). ( B ) Flow cytometry results of immune B lymphocytes (CD19+). ( C ) Flow cytometry results of immune Macrophages (F4/80+). ( D ) Flow cytometry results of immune NK cells (NK1.1+). ( E ) Single-cell sequencing screened out the T-cell-related immune gene FCER1G in liver injury caused by sepsis. ( F ) Single-cell sequencing screened out the T-cell-related immune gene IL2RB in liver injury caused by sepsis. ( G ) Single-cell sequencing screened out the T-cell-related immune gene PTGDR in liver injury caused by sepsis. ( H ) Single-cell sequencing screened out the T-cell-related immune gene XCL1 in liver injury caused by sepsis.

    Article Snippet: Flow Cytometry Staining & Analysis:T cells (Bioss Cat# bsm-30149A, PE, 1:150);B cells (Bioss Cat# bsm-30156A, FITC, 1:50);NK cells (Bioss Cat# bsm-30177M, PE, 1:100);Macrophages (Bioss Cat# bsm-30277A, PE, 1:50).

    Techniques: RNA Sequencing, Flow Cytometry, Sequencing

    NK cell dysfunction is linked to suppressed STING expression in MASH patients with advanced liver fibrosis. The percentages of cells expressing ( a ) CD107a, ( b ) NKp46, ( c ) LAIR-1, and ( d ) Siglec7 in NK from healthy controls and metabolic dysfunction-associated steatohepatitis (MASH) patients with early (F1/F2) and advanced (F3/F4) fibrosis scores as determined by METAVIR were measured by flow cytometry. ( e ) Quantitation of STING mRNA in peripheral NK cells obtained from healthy individuals (considered as control) and patients with MASH with varying degrees of fibrosis scoring were assessed via RT-PCR. The data are presented as a fold change compared with healthy controls. The housekeeping gene GAPDH was used as the internal control for normalization. Flow cytometry analysis showed the percentages of cells expressing ( f ) STING and ( g ) IFN-γ in NK from healthy controls and MASH patients with early (F1/F2) and advanced (F3/F4) fibrosis. ( h ) A coculture cytotoxicity assay using a 1:1 ratio of NK cells (from healthy donors and MASH patients with early and advanced fibrosis scores) and pHSCs obtained from F3/F4 MASH patients was performed, and annexin V (%) expression was assessed in the pHSCs as a marker of apoptosis using flow cytometry. The horizontal dotted line indicates the baseline results from monoculture conditions. In the flow cytometry experiments, an isotype-matched IgG antibody conjugated to the appropriate fluorochrome was used as a control. Data are expressed as the mean ± standard deviation (SD). Statistical significance was assessed using Newman–Keuls two-way analysis of variance (ANOVA), with significance levels denoted as follows: * p < 0.01, ** p < 0.001, *** p < 0.0001, and **** p < 0.00001. ns = not significant. Group sizes were as follows: healthy controls ( n = 10), early liver fibrosis ( n = 10), and advanced liver fibrosis ( n = 10).

    Journal: Cells

    Article Title: Insulin Modulates NK Cell Activity in Liver Fibrosis MASH Patients via the STING Pathway

    doi: 10.3390/cells14130941

    Figure Lengend Snippet: NK cell dysfunction is linked to suppressed STING expression in MASH patients with advanced liver fibrosis. The percentages of cells expressing ( a ) CD107a, ( b ) NKp46, ( c ) LAIR-1, and ( d ) Siglec7 in NK from healthy controls and metabolic dysfunction-associated steatohepatitis (MASH) patients with early (F1/F2) and advanced (F3/F4) fibrosis scores as determined by METAVIR were measured by flow cytometry. ( e ) Quantitation of STING mRNA in peripheral NK cells obtained from healthy individuals (considered as control) and patients with MASH with varying degrees of fibrosis scoring were assessed via RT-PCR. The data are presented as a fold change compared with healthy controls. The housekeeping gene GAPDH was used as the internal control for normalization. Flow cytometry analysis showed the percentages of cells expressing ( f ) STING and ( g ) IFN-γ in NK from healthy controls and MASH patients with early (F1/F2) and advanced (F3/F4) fibrosis. ( h ) A coculture cytotoxicity assay using a 1:1 ratio of NK cells (from healthy donors and MASH patients with early and advanced fibrosis scores) and pHSCs obtained from F3/F4 MASH patients was performed, and annexin V (%) expression was assessed in the pHSCs as a marker of apoptosis using flow cytometry. The horizontal dotted line indicates the baseline results from monoculture conditions. In the flow cytometry experiments, an isotype-matched IgG antibody conjugated to the appropriate fluorochrome was used as a control. Data are expressed as the mean ± standard deviation (SD). Statistical significance was assessed using Newman–Keuls two-way analysis of variance (ANOVA), with significance levels denoted as follows: * p < 0.01, ** p < 0.001, *** p < 0.0001, and **** p < 0.00001. ns = not significant. Group sizes were as follows: healthy controls ( n = 10), early liver fibrosis ( n = 10), and advanced liver fibrosis ( n = 10).

    Article Snippet: Prior to flow cytometry analysis, the viability of pHSCs and NK cells (100 μL at 1 × 10 6 cells/mL) was assessed using propidium iodide (PI) staining, following the manufacturer’s protocol (A35110, R&D Systems, Minneapolis, MN, USA).

    Techniques: Expressing, Flow Cytometry, Quantitation Assay, Control, Reverse Transcription Polymerase Chain Reaction, Cytotoxicity Assay, Marker, Standard Deviation

    STING signaling orchestrates NK Cell impairment along liver fibrosis progression in MASH. Following isolation, NK cells from healthy individuals and MASH patients with early (F1/F2) and advanced (F3/F4) stages of liver fibrosis were seeded at a concentration of 1 × 10 6 cells/mL. The cells were then treated for 24 h with STING agonists 5,6-dimethylxanthenone-4-acetic acid (DMXAA; D5817, MERCK) or 2′3′-cyclic GMP-AMP (2′3′-cGAMP; tlrl-nacga23-02, InvivoGen) each at a final concentration of 10 µM. DMSO was used as the vehicle control. The expression levels of ( a ) CD107a, ( b ) NKp46, and ( c ) LAIR-1 on NK cells were assessed by flow cytometry. Isotype-matched IgG antibodies conjugated with appropriate fluorochromes were used as controls in the flow cytometry assays. Data are presented as the mean ± standard deviation (SD). Statistical significance was determined using Newman–Keuls two-way ANOVA with the following notations: * p < 0.01, ** p < 0.001, *** p < 0.0001, and **** p < 0.00001. ns = not significant. Group sizes included healthy controls ( n = 5), patients with early fibrosis ( n = 5), and patients with advanced fibrosis ( n = 5).

    Journal: Cells

    Article Title: Insulin Modulates NK Cell Activity in Liver Fibrosis MASH Patients via the STING Pathway

    doi: 10.3390/cells14130941

    Figure Lengend Snippet: STING signaling orchestrates NK Cell impairment along liver fibrosis progression in MASH. Following isolation, NK cells from healthy individuals and MASH patients with early (F1/F2) and advanced (F3/F4) stages of liver fibrosis were seeded at a concentration of 1 × 10 6 cells/mL. The cells were then treated for 24 h with STING agonists 5,6-dimethylxanthenone-4-acetic acid (DMXAA; D5817, MERCK) or 2′3′-cyclic GMP-AMP (2′3′-cGAMP; tlrl-nacga23-02, InvivoGen) each at a final concentration of 10 µM. DMSO was used as the vehicle control. The expression levels of ( a ) CD107a, ( b ) NKp46, and ( c ) LAIR-1 on NK cells were assessed by flow cytometry. Isotype-matched IgG antibodies conjugated with appropriate fluorochromes were used as controls in the flow cytometry assays. Data are presented as the mean ± standard deviation (SD). Statistical significance was determined using Newman–Keuls two-way ANOVA with the following notations: * p < 0.01, ** p < 0.001, *** p < 0.0001, and **** p < 0.00001. ns = not significant. Group sizes included healthy controls ( n = 5), patients with early fibrosis ( n = 5), and patients with advanced fibrosis ( n = 5).

    Article Snippet: Prior to flow cytometry analysis, the viability of pHSCs and NK cells (100 μL at 1 × 10 6 cells/mL) was assessed using propidium iodide (PI) staining, following the manufacturer’s protocol (A35110, R&D Systems, Minneapolis, MN, USA).

    Techniques: Isolation, Concentration Assay, Control, Expressing, Flow Cytometry, Standard Deviation

    Insulin signaling enhances STING expression and restores NK Cell function in MASH patients. Following isolation, NK cells from healthy controls and MASH patients with early (F1/F2) and advanced (F3/F4) fibrosis scores were seeded at 1 × 10 6 cells/mL and treated with the STING agonists 2′3′-cyclic GMP-AMP (2′3′-cGAMP; tlrl-nacga23-02, InvivoGen, California, USA) at a final concentration of 10 µM or recombinant human insulin (91077C, MERCK, Jerusalem, Israel), or both for 24 h. DMSO is used as a vehicle. The percentages of cells expressing ( a ) insulin receptor (IR), ( b ) STING, ( c ) CD107a, and ( d ) PD-1in NK cells were measured by flow cytometry. In the flow cytometry experiments, an isotype IgG antibody labeled with the relevant fluorochrome was used as a control. The data are presented as the average ± SD. Significance was determined using Newman–Keuls two-way analysis of variance (ANOVA), * p < 0.01, ** p < 0.001, *** p < 0.0001, and **** p < 0.00001. ns = not significant. Healthy ( n = 5), early liver fibrosis ( n = 5), and advanced liver fibrosis ( n = 5).

    Journal: Cells

    Article Title: Insulin Modulates NK Cell Activity in Liver Fibrosis MASH Patients via the STING Pathway

    doi: 10.3390/cells14130941

    Figure Lengend Snippet: Insulin signaling enhances STING expression and restores NK Cell function in MASH patients. Following isolation, NK cells from healthy controls and MASH patients with early (F1/F2) and advanced (F3/F4) fibrosis scores were seeded at 1 × 10 6 cells/mL and treated with the STING agonists 2′3′-cyclic GMP-AMP (2′3′-cGAMP; tlrl-nacga23-02, InvivoGen, California, USA) at a final concentration of 10 µM or recombinant human insulin (91077C, MERCK, Jerusalem, Israel), or both for 24 h. DMSO is used as a vehicle. The percentages of cells expressing ( a ) insulin receptor (IR), ( b ) STING, ( c ) CD107a, and ( d ) PD-1in NK cells were measured by flow cytometry. In the flow cytometry experiments, an isotype IgG antibody labeled with the relevant fluorochrome was used as a control. The data are presented as the average ± SD. Significance was determined using Newman–Keuls two-way analysis of variance (ANOVA), * p < 0.01, ** p < 0.001, *** p < 0.0001, and **** p < 0.00001. ns = not significant. Healthy ( n = 5), early liver fibrosis ( n = 5), and advanced liver fibrosis ( n = 5).

    Article Snippet: Prior to flow cytometry analysis, the viability of pHSCs and NK cells (100 μL at 1 × 10 6 cells/mL) was assessed using propidium iodide (PI) staining, following the manufacturer’s protocol (A35110, R&D Systems, Minneapolis, MN, USA).

    Techniques: Expressing, Cell Function Assay, Isolation, Concentration Assay, Recombinant, Flow Cytometry, Labeling, Control

    Identification of 5E17 as a GBM-specific mAb. A Strategy for the identification of the GBM-specific mAb 5E17. B Representative flow cytometry findings of 5E17 mAb bound to GBM and nonmalignant brain cells from patients. Analyses of live (PI-negative) cells are shown. The results of staining with the isotype or negative control instead of anti-5E17 mAb, CD31, CD45, or CD90 are shown to draw the gate for 5E17-positive cells. Analyses of the other patients are shown in Supplementary Fig. 2. Blue histogram indicates isotype control. SSC, side scatter. C Mean fluorescence intensity (means ± standard error of the mean) of flow cytometry findings bound to GBM ( n = 7) and nonmalignant brain cells ( n = 6) from patients. Each plot shows the mean fluorescence intensity. GBM cells were assessed as CD31-CD45-CD90 + cells, and nonmalignant tumor cells were assessed as CD31-CD45- cells. * p < 0.05, calculated using a Mann–Whitney U -test

    Journal: Cancer Immunology, Immunotherapy : CII

    Article Title: Prostaglandin F2 receptor negative regulator as a potential target for chimeric antigen receptor-T cell therapy for glioblastoma

    doi: 10.1007/s00262-025-03979-4

    Figure Lengend Snippet: Identification of 5E17 as a GBM-specific mAb. A Strategy for the identification of the GBM-specific mAb 5E17. B Representative flow cytometry findings of 5E17 mAb bound to GBM and nonmalignant brain cells from patients. Analyses of live (PI-negative) cells are shown. The results of staining with the isotype or negative control instead of anti-5E17 mAb, CD31, CD45, or CD90 are shown to draw the gate for 5E17-positive cells. Analyses of the other patients are shown in Supplementary Fig. 2. Blue histogram indicates isotype control. SSC, side scatter. C Mean fluorescence intensity (means ± standard error of the mean) of flow cytometry findings bound to GBM ( n = 7) and nonmalignant brain cells ( n = 6) from patients. Each plot shows the mean fluorescence intensity. GBM cells were assessed as CD31-CD45-CD90 + cells, and nonmalignant tumor cells were assessed as CD31-CD45- cells. * p < 0.05, calculated using a Mann–Whitney U -test

    Article Snippet: C Flow cytometry analysis of 5E17 (top row) and commercially available anti-PTGFRN antibody (R&D systems, inc.) (bottom row) reactivity to wild/5E17 overexpressed Ba/F3 cells and wild/PTGFRN KO U87MG cells.

    Techniques: Flow Cytometry, Staining, Negative Control, Control, Fluorescence, MANN-WHITNEY

    5E17 recognized PTGFRN. A Procedure for expression cloning to identify antigens recognized by 5E17 monoclonal antibody. B Flow cytometry plots showing the process of 5E17-positive cell enrichment in the expression cloning of the 5E17 antigen. SSC, side scatter. C Flow cytometry analysis of 5E17 (top row) and commercially available anti-PTGFRN antibody (R&D systems, inc.) (bottom row) reactivity to wild/5E17 overexpressed Ba/F3 cells and wild/PTGFRN KO U87MG cells. WT, wild type; KO, knock out

    Journal: Cancer Immunology, Immunotherapy : CII

    Article Title: Prostaglandin F2 receptor negative regulator as a potential target for chimeric antigen receptor-T cell therapy for glioblastoma

    doi: 10.1007/s00262-025-03979-4

    Figure Lengend Snippet: 5E17 recognized PTGFRN. A Procedure for expression cloning to identify antigens recognized by 5E17 monoclonal antibody. B Flow cytometry plots showing the process of 5E17-positive cell enrichment in the expression cloning of the 5E17 antigen. SSC, side scatter. C Flow cytometry analysis of 5E17 (top row) and commercially available anti-PTGFRN antibody (R&D systems, inc.) (bottom row) reactivity to wild/5E17 overexpressed Ba/F3 cells and wild/PTGFRN KO U87MG cells. WT, wild type; KO, knock out

    Article Snippet: C Flow cytometry analysis of 5E17 (top row) and commercially available anti-PTGFRN antibody (R&D systems, inc.) (bottom row) reactivity to wild/5E17 overexpressed Ba/F3 cells and wild/PTGFRN KO U87MG cells.

    Techniques: Expressing, Cloning, Flow Cytometry, Knock-Out

    Development of CAR-T cells for the 5E17 antigen. A Establishment of CAR-T cells using the 5E17 monoclonal antibody in the indicated construct. VH, variable heavy; VL, variable light. B Flow cytometry plots of 5E17 CAR or Mock transduction efficiency in human T cells 10 days after CAR transduction. SSC, side scatter. C Growth of 5E17 CAR-T or Mock T cells during in vitro culture

    Journal: Cancer Immunology, Immunotherapy : CII

    Article Title: Prostaglandin F2 receptor negative regulator as a potential target for chimeric antigen receptor-T cell therapy for glioblastoma

    doi: 10.1007/s00262-025-03979-4

    Figure Lengend Snippet: Development of CAR-T cells for the 5E17 antigen. A Establishment of CAR-T cells using the 5E17 monoclonal antibody in the indicated construct. VH, variable heavy; VL, variable light. B Flow cytometry plots of 5E17 CAR or Mock transduction efficiency in human T cells 10 days after CAR transduction. SSC, side scatter. C Growth of 5E17 CAR-T or Mock T cells during in vitro culture

    Article Snippet: C Flow cytometry analysis of 5E17 (top row) and commercially available anti-PTGFRN antibody (R&D systems, inc.) (bottom row) reactivity to wild/5E17 overexpressed Ba/F3 cells and wild/PTGFRN KO U87MG cells.

    Techniques: Construct, Flow Cytometry, Transduction, In Vitro