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mouse anti human cd66b monoclonal antibody  (Bio-Rad)


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    Bio-Rad mouse anti human cd66b monoclonal antibody
    CD34 + HSPC-derived neutrophils cultured in SL-II medium showed higher similarity to PMNs compared to CD34 + HSPC-derived neutrophils cultured in IMDM (A) Representative cytospins of PMNs, CD34 + HSPC-derived neutrophils cultured in SL-II (Bulk) and IMDM medium (Bulk) after Giemsa-May staining. Scalebars set at 10 μm, n = 14. (B) Gating strategy for comparing PMNs versus CD34 + HSPC-derived neutrophils cultured in SL-II or IMDM based on CD11b and CD16 expression as measured by flow cytometry. (C) Representative flow cytometric analysis of surface markers <t>CD66b,</t> CD29 and CD14 expressed on Bulk and CD16 high CD34 + HSPC-derived neutrophils cultured in either SL-II (pink) or IMDM medium (orange) and PMNs (blue). Gray histograms show unstained controls. n = 8 for CD66b, n = 4 for CD29 and CD14. (D) PCA plot showing transcriptomes and non-imputed proteomes for CD34 + HSPCs (yellow), SL-II Bulk obtained at days 14 (light pink) and 17 (black), IMDM Bulk obtained at day 14 (red) and 17 (purple), SL-II fractions MACS sorted for CD16 + obtained at day 14 (gray) and 17 (brown), and PMNs (blue). For SL-II Bulk day 17 transcriptomics n = 4, otherwise n = 6. (E) Pearson correlation between day 17 SL-II CD16 + neutrophils compared to CD34 + HSPCs and PMNs. Correlation values range between 0.6 and 1. (F) Heatmap of z-scores for transcriptome and proteome samples obtained from day 17 SL-II Bulk neutrophils, day 17 SL-II CD16 + neutrophils, PMNs, and CD34 + HSPCs. All transcripts or proteins that were considered differentially abundance between day 0 SL-II Bulk, day 10 SL-II Bulk, day 14 SL-II CD16 + neutrophils and day 17 SL-II CD16 + neutrophils when compared to PMNs were included. (G) Volcano plots of differentially expressed transcripts and proteins between day 17 SL-II CD16 + neutrophils compared to PMNs. (H) Functional enrichment showing the normalized enrichment score (NES) of molecular functions that were enriched within up- or downregulated transcripts and proteins in day 17 SL-II CD16 + neutrophils compared to PMNs. Molecular mechanisms were obtained from different databases, including Wiki-Pathways (∗), Gene Onthology (∗∗), or Reactome (∗∗∗). Neutrophil degranulation is highlighted in red. (I) Scatterplot comparing transcriptome and proteome effect size estimates for all transcript/protein pairs that were identified when comparing day 17 SL-II CD16 + neutrophils and PMNs. Gene/protein pairs highlighted in black were considered statistically significant after multiple testing correction FDR <0.05 and |log2 fold change| > 1 for proteome and 2 for transcriptome. n values represent the number of individual donor samples.
    Mouse Anti Human Cd66b Monoclonal Antibody, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 94/100, based on 70 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/mouse+anti+human+cd66b+monoclonal+antibody/pmc12496184-24-0-10?v=Bio-Rad
    Average 94 stars, based on 70 article reviews
    mouse anti human cd66b monoclonal antibody - by Bioz Stars, 2026-07
    94/100 stars

    Images

    1) Product Images from "Characterization of human CD34 + HSPC-derived neutrophils with limited myeloid-derived immunosuppressive cell activity"

    Article Title: Characterization of human CD34 + HSPC-derived neutrophils with limited myeloid-derived immunosuppressive cell activity

    Journal: iScience

    doi: 10.1016/j.isci.2025.113404

    CD34 + HSPC-derived neutrophils cultured in SL-II medium showed higher similarity to PMNs compared to CD34 + HSPC-derived neutrophils cultured in IMDM (A) Representative cytospins of PMNs, CD34 + HSPC-derived neutrophils cultured in SL-II (Bulk) and IMDM medium (Bulk) after Giemsa-May staining. Scalebars set at 10 μm, n = 14. (B) Gating strategy for comparing PMNs versus CD34 + HSPC-derived neutrophils cultured in SL-II or IMDM based on CD11b and CD16 expression as measured by flow cytometry. (C) Representative flow cytometric analysis of surface markers CD66b, CD29 and CD14 expressed on Bulk and CD16 high CD34 + HSPC-derived neutrophils cultured in either SL-II (pink) or IMDM medium (orange) and PMNs (blue). Gray histograms show unstained controls. n = 8 for CD66b, n = 4 for CD29 and CD14. (D) PCA plot showing transcriptomes and non-imputed proteomes for CD34 + HSPCs (yellow), SL-II Bulk obtained at days 14 (light pink) and 17 (black), IMDM Bulk obtained at day 14 (red) and 17 (purple), SL-II fractions MACS sorted for CD16 + obtained at day 14 (gray) and 17 (brown), and PMNs (blue). For SL-II Bulk day 17 transcriptomics n = 4, otherwise n = 6. (E) Pearson correlation between day 17 SL-II CD16 + neutrophils compared to CD34 + HSPCs and PMNs. Correlation values range between 0.6 and 1. (F) Heatmap of z-scores for transcriptome and proteome samples obtained from day 17 SL-II Bulk neutrophils, day 17 SL-II CD16 + neutrophils, PMNs, and CD34 + HSPCs. All transcripts or proteins that were considered differentially abundance between day 0 SL-II Bulk, day 10 SL-II Bulk, day 14 SL-II CD16 + neutrophils and day 17 SL-II CD16 + neutrophils when compared to PMNs were included. (G) Volcano plots of differentially expressed transcripts and proteins between day 17 SL-II CD16 + neutrophils compared to PMNs. (H) Functional enrichment showing the normalized enrichment score (NES) of molecular functions that were enriched within up- or downregulated transcripts and proteins in day 17 SL-II CD16 + neutrophils compared to PMNs. Molecular mechanisms were obtained from different databases, including Wiki-Pathways (∗), Gene Onthology (∗∗), or Reactome (∗∗∗). Neutrophil degranulation is highlighted in red. (I) Scatterplot comparing transcriptome and proteome effect size estimates for all transcript/protein pairs that were identified when comparing day 17 SL-II CD16 + neutrophils and PMNs. Gene/protein pairs highlighted in black were considered statistically significant after multiple testing correction FDR <0.05 and |log2 fold change| > 1 for proteome and 2 for transcriptome. n values represent the number of individual donor samples.
    Figure Legend Snippet: CD34 + HSPC-derived neutrophils cultured in SL-II medium showed higher similarity to PMNs compared to CD34 + HSPC-derived neutrophils cultured in IMDM (A) Representative cytospins of PMNs, CD34 + HSPC-derived neutrophils cultured in SL-II (Bulk) and IMDM medium (Bulk) after Giemsa-May staining. Scalebars set at 10 μm, n = 14. (B) Gating strategy for comparing PMNs versus CD34 + HSPC-derived neutrophils cultured in SL-II or IMDM based on CD11b and CD16 expression as measured by flow cytometry. (C) Representative flow cytometric analysis of surface markers CD66b, CD29 and CD14 expressed on Bulk and CD16 high CD34 + HSPC-derived neutrophils cultured in either SL-II (pink) or IMDM medium (orange) and PMNs (blue). Gray histograms show unstained controls. n = 8 for CD66b, n = 4 for CD29 and CD14. (D) PCA plot showing transcriptomes and non-imputed proteomes for CD34 + HSPCs (yellow), SL-II Bulk obtained at days 14 (light pink) and 17 (black), IMDM Bulk obtained at day 14 (red) and 17 (purple), SL-II fractions MACS sorted for CD16 + obtained at day 14 (gray) and 17 (brown), and PMNs (blue). For SL-II Bulk day 17 transcriptomics n = 4, otherwise n = 6. (E) Pearson correlation between day 17 SL-II CD16 + neutrophils compared to CD34 + HSPCs and PMNs. Correlation values range between 0.6 and 1. (F) Heatmap of z-scores for transcriptome and proteome samples obtained from day 17 SL-II Bulk neutrophils, day 17 SL-II CD16 + neutrophils, PMNs, and CD34 + HSPCs. All transcripts or proteins that were considered differentially abundance between day 0 SL-II Bulk, day 10 SL-II Bulk, day 14 SL-II CD16 + neutrophils and day 17 SL-II CD16 + neutrophils when compared to PMNs were included. (G) Volcano plots of differentially expressed transcripts and proteins between day 17 SL-II CD16 + neutrophils compared to PMNs. (H) Functional enrichment showing the normalized enrichment score (NES) of molecular functions that were enriched within up- or downregulated transcripts and proteins in day 17 SL-II CD16 + neutrophils compared to PMNs. Molecular mechanisms were obtained from different databases, including Wiki-Pathways (∗), Gene Onthology (∗∗), or Reactome (∗∗∗). Neutrophil degranulation is highlighted in red. (I) Scatterplot comparing transcriptome and proteome effect size estimates for all transcript/protein pairs that were identified when comparing day 17 SL-II CD16 + neutrophils and PMNs. Gene/protein pairs highlighted in black were considered statistically significant after multiple testing correction FDR <0.05 and |log2 fold change| > 1 for proteome and 2 for transcriptome. n values represent the number of individual donor samples.

    Techniques Used: Derivative Assay, Cell Culture, Staining, Expressing, Flow Cytometry, Functional Assay

    CD34 + HSPC-derived neutrophils gain neutrophil characteristics over time (A) Representative cytospins of CD34 + HSPC-derived neutrophils cultured in SL-II medium (Bulk) during differentiation on day 0, 10, 14, and 17. Cells were stained with Giemsa-May staining and scalebars were set at 10 μm ( n = 14). (B) Representative flow cytometric analysis of surface markers CD34, HLA-DR, CD66b, SIGLEC9, CD177, and CD10 expressed on CD34 + HSPC-derived neutrophils cultured in SL-II medium (pink) on days 0, 10, and the most mature (CD11b/CD16 + ) fraction on days 14 and 17 compared to PMNs (blue). Histograms of unstained controls are shown in gray ( n = 6 for CD34, n = 4 for HLA-DR, n = 8 for CD66b, SIGLEC9, CD177, and CD10). (C) Sankey plot shows the relative proportion of transcripts and proteins that were different when comparing HSPCs on day 0, SL-II Bulk day 10, CD16 + SL-II day 14, and CD16 + SL-II day 17 to PMNs. Transcripts and proteins that were upregulated are shown in red, downregulated in blue, and non-differentially expressed are shown in gray (FDR <0.05 and log2 fold change| > 1 for proteome and 2 for transcriptome). (D) WGCNA network constructed using z-scores of transcripts and proteins from HSPCs on day 0, SL-II Bulk day 10, CD16 + SL-II day 14, and CD16 + SL-II day 17 samples. The 14 modules were clustered based on Pearson’s correlation into four different groups (group A, B, C, and D). Blue edges represent Pearson correlation <0.7, and red edges indicate Pearson’s correlations >0.7. Modules that were enriched for neutrophil degranulation are highlighted in yellow. (E) Enrichment heatmap for granule, mitochondrial, and metabolic databases per module. FDR values were obtained from a chi-square test between transcript/protein pairs in modules and each database separately. (F) Scatterplot of the z-scores for transcriptome and proteome along the four stages of differentiation of SL-II in contrast to PMNs for all modules collapsed to the four groups (A–D). Data in (F) is represented as mean ± SD for all transcript/protein pairs included in the modules for PMNs and each stage of SL-II neutrophil differentiation.
    Figure Legend Snippet: CD34 + HSPC-derived neutrophils gain neutrophil characteristics over time (A) Representative cytospins of CD34 + HSPC-derived neutrophils cultured in SL-II medium (Bulk) during differentiation on day 0, 10, 14, and 17. Cells were stained with Giemsa-May staining and scalebars were set at 10 μm ( n = 14). (B) Representative flow cytometric analysis of surface markers CD34, HLA-DR, CD66b, SIGLEC9, CD177, and CD10 expressed on CD34 + HSPC-derived neutrophils cultured in SL-II medium (pink) on days 0, 10, and the most mature (CD11b/CD16 + ) fraction on days 14 and 17 compared to PMNs (blue). Histograms of unstained controls are shown in gray ( n = 6 for CD34, n = 4 for HLA-DR, n = 8 for CD66b, SIGLEC9, CD177, and CD10). (C) Sankey plot shows the relative proportion of transcripts and proteins that were different when comparing HSPCs on day 0, SL-II Bulk day 10, CD16 + SL-II day 14, and CD16 + SL-II day 17 to PMNs. Transcripts and proteins that were upregulated are shown in red, downregulated in blue, and non-differentially expressed are shown in gray (FDR <0.05 and log2 fold change| > 1 for proteome and 2 for transcriptome). (D) WGCNA network constructed using z-scores of transcripts and proteins from HSPCs on day 0, SL-II Bulk day 10, CD16 + SL-II day 14, and CD16 + SL-II day 17 samples. The 14 modules were clustered based on Pearson’s correlation into four different groups (group A, B, C, and D). Blue edges represent Pearson correlation <0.7, and red edges indicate Pearson’s correlations >0.7. Modules that were enriched for neutrophil degranulation are highlighted in yellow. (E) Enrichment heatmap for granule, mitochondrial, and metabolic databases per module. FDR values were obtained from a chi-square test between transcript/protein pairs in modules and each database separately. (F) Scatterplot of the z-scores for transcriptome and proteome along the four stages of differentiation of SL-II in contrast to PMNs for all modules collapsed to the four groups (A–D). Data in (F) is represented as mean ± SD for all transcript/protein pairs included in the modules for PMNs and each stage of SL-II neutrophil differentiation.

    Techniques Used: Derivative Assay, Cell Culture, Staining, Construct

    SL-II CD16 + neutrophils were able to release granules but showed granular content distinct from PMNs (A) Representative FSC/SSC plots measured by flow cytometry for PMNs and SL-II CD16 + neutrophils ( n = 14). (B) Release of serine-proteases ELANE and CTSG as measured by the maximal combined degradation of DQ-BSA after stimulation with CytoB and fMLP. Lysis of cells with Tx-100 was used as a control for maximal release. ( n = 4). (C) Geometric mean florescence intensity of CD63 (azurophilic granules) ( n = 10 for PMNs and n = 4 for SL-II CD16 + neutrophils), CD66b (specific granules) ( n = 9 for PMNs and n = 4 for SL-II CD16 + neutrophils) and LOX-1 (specific granules) ( n = 6 for PMNs and n = 4 for SL-II CD16 + neutrophils) on PMNs (blue) and SL-II CD16 + neutrophils (pink) in unstimulated conditions, after stimulation with PAF/fMLP or CytoB/fMLP measured by flow cytometry. Negative values were considered to be 0. (D) Representative histograms for degranulation (gMFI shown in C) by PMNs (blue) and SL-II CD16 + neutrophils (pink) under different conditions. Histograms of unstained controls are shown in gray. (E) Proportion of valid values for granule proteins for CD34 + HSPCs, CD16 + SL-II neutrophils, and PMNs. (F) Boxplots showing the log2 normalized read counts and log2 LFQ for signature granule proteins (i.e., MPO, ELANE, CTSG, LTF, and MMP9) for CD34 + HSPCs, CD16 + SL-II neutrophils, and PMNs. (G) Scatterplot of the effect size estimates for granule proteins when comparing CD16 + SL-II neutrophils to PMNs. Granule proteins were separated into azurophilic granules, specific granules, gelatinase granules, and secretory vesicles. Dots highlighted in red are considered statistically significant after multiple testing correction (FDR <0.05) and |log2 fold change| > 1. Data in (B), (C), and (F) is represented as median and interquartile range. p values were calculated using Mann-Whitney U tests and labeled as ∗ p < 0.05, ∗∗ p < 0.01. n values represent the number of individual donor samples.
    Figure Legend Snippet: SL-II CD16 + neutrophils were able to release granules but showed granular content distinct from PMNs (A) Representative FSC/SSC plots measured by flow cytometry for PMNs and SL-II CD16 + neutrophils ( n = 14). (B) Release of serine-proteases ELANE and CTSG as measured by the maximal combined degradation of DQ-BSA after stimulation with CytoB and fMLP. Lysis of cells with Tx-100 was used as a control for maximal release. ( n = 4). (C) Geometric mean florescence intensity of CD63 (azurophilic granules) ( n = 10 for PMNs and n = 4 for SL-II CD16 + neutrophils), CD66b (specific granules) ( n = 9 for PMNs and n = 4 for SL-II CD16 + neutrophils) and LOX-1 (specific granules) ( n = 6 for PMNs and n = 4 for SL-II CD16 + neutrophils) on PMNs (blue) and SL-II CD16 + neutrophils (pink) in unstimulated conditions, after stimulation with PAF/fMLP or CytoB/fMLP measured by flow cytometry. Negative values were considered to be 0. (D) Representative histograms for degranulation (gMFI shown in C) by PMNs (blue) and SL-II CD16 + neutrophils (pink) under different conditions. Histograms of unstained controls are shown in gray. (E) Proportion of valid values for granule proteins for CD34 + HSPCs, CD16 + SL-II neutrophils, and PMNs. (F) Boxplots showing the log2 normalized read counts and log2 LFQ for signature granule proteins (i.e., MPO, ELANE, CTSG, LTF, and MMP9) for CD34 + HSPCs, CD16 + SL-II neutrophils, and PMNs. (G) Scatterplot of the effect size estimates for granule proteins when comparing CD16 + SL-II neutrophils to PMNs. Granule proteins were separated into azurophilic granules, specific granules, gelatinase granules, and secretory vesicles. Dots highlighted in red are considered statistically significant after multiple testing correction (FDR <0.05) and |log2 fold change| > 1. Data in (B), (C), and (F) is represented as median and interquartile range. p values were calculated using Mann-Whitney U tests and labeled as ∗ p < 0.05, ∗∗ p < 0.01. n values represent the number of individual donor samples.

    Techniques Used: Flow Cytometry, Lysis, Control, MANN-WHITNEY, Labeling



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    Image Search Results


    CD34 + HSPC-derived neutrophils cultured in SL-II medium showed higher similarity to PMNs compared to CD34 + HSPC-derived neutrophils cultured in IMDM (A) Representative cytospins of PMNs, CD34 + HSPC-derived neutrophils cultured in SL-II (Bulk) and IMDM medium (Bulk) after Giemsa-May staining. Scalebars set at 10 μm, n = 14. (B) Gating strategy for comparing PMNs versus CD34 + HSPC-derived neutrophils cultured in SL-II or IMDM based on CD11b and CD16 expression as measured by flow cytometry. (C) Representative flow cytometric analysis of surface markers CD66b, CD29 and CD14 expressed on Bulk and CD16 high CD34 + HSPC-derived neutrophils cultured in either SL-II (pink) or IMDM medium (orange) and PMNs (blue). Gray histograms show unstained controls. n = 8 for CD66b, n = 4 for CD29 and CD14. (D) PCA plot showing transcriptomes and non-imputed proteomes for CD34 + HSPCs (yellow), SL-II Bulk obtained at days 14 (light pink) and 17 (black), IMDM Bulk obtained at day 14 (red) and 17 (purple), SL-II fractions MACS sorted for CD16 + obtained at day 14 (gray) and 17 (brown), and PMNs (blue). For SL-II Bulk day 17 transcriptomics n = 4, otherwise n = 6. (E) Pearson correlation between day 17 SL-II CD16 + neutrophils compared to CD34 + HSPCs and PMNs. Correlation values range between 0.6 and 1. (F) Heatmap of z-scores for transcriptome and proteome samples obtained from day 17 SL-II Bulk neutrophils, day 17 SL-II CD16 + neutrophils, PMNs, and CD34 + HSPCs. All transcripts or proteins that were considered differentially abundance between day 0 SL-II Bulk, day 10 SL-II Bulk, day 14 SL-II CD16 + neutrophils and day 17 SL-II CD16 + neutrophils when compared to PMNs were included. (G) Volcano plots of differentially expressed transcripts and proteins between day 17 SL-II CD16 + neutrophils compared to PMNs. (H) Functional enrichment showing the normalized enrichment score (NES) of molecular functions that were enriched within up- or downregulated transcripts and proteins in day 17 SL-II CD16 + neutrophils compared to PMNs. Molecular mechanisms were obtained from different databases, including Wiki-Pathways (∗), Gene Onthology (∗∗), or Reactome (∗∗∗). Neutrophil degranulation is highlighted in red. (I) Scatterplot comparing transcriptome and proteome effect size estimates for all transcript/protein pairs that were identified when comparing day 17 SL-II CD16 + neutrophils and PMNs. Gene/protein pairs highlighted in black were considered statistically significant after multiple testing correction FDR <0.05 and |log2 fold change| > 1 for proteome and 2 for transcriptome. n values represent the number of individual donor samples.

    Journal: iScience

    Article Title: Characterization of human CD34 + HSPC-derived neutrophils with limited myeloid-derived immunosuppressive cell activity

    doi: 10.1016/j.isci.2025.113404

    Figure Lengend Snippet: CD34 + HSPC-derived neutrophils cultured in SL-II medium showed higher similarity to PMNs compared to CD34 + HSPC-derived neutrophils cultured in IMDM (A) Representative cytospins of PMNs, CD34 + HSPC-derived neutrophils cultured in SL-II (Bulk) and IMDM medium (Bulk) after Giemsa-May staining. Scalebars set at 10 μm, n = 14. (B) Gating strategy for comparing PMNs versus CD34 + HSPC-derived neutrophils cultured in SL-II or IMDM based on CD11b and CD16 expression as measured by flow cytometry. (C) Representative flow cytometric analysis of surface markers CD66b, CD29 and CD14 expressed on Bulk and CD16 high CD34 + HSPC-derived neutrophils cultured in either SL-II (pink) or IMDM medium (orange) and PMNs (blue). Gray histograms show unstained controls. n = 8 for CD66b, n = 4 for CD29 and CD14. (D) PCA plot showing transcriptomes and non-imputed proteomes for CD34 + HSPCs (yellow), SL-II Bulk obtained at days 14 (light pink) and 17 (black), IMDM Bulk obtained at day 14 (red) and 17 (purple), SL-II fractions MACS sorted for CD16 + obtained at day 14 (gray) and 17 (brown), and PMNs (blue). For SL-II Bulk day 17 transcriptomics n = 4, otherwise n = 6. (E) Pearson correlation between day 17 SL-II CD16 + neutrophils compared to CD34 + HSPCs and PMNs. Correlation values range between 0.6 and 1. (F) Heatmap of z-scores for transcriptome and proteome samples obtained from day 17 SL-II Bulk neutrophils, day 17 SL-II CD16 + neutrophils, PMNs, and CD34 + HSPCs. All transcripts or proteins that were considered differentially abundance between day 0 SL-II Bulk, day 10 SL-II Bulk, day 14 SL-II CD16 + neutrophils and day 17 SL-II CD16 + neutrophils when compared to PMNs were included. (G) Volcano plots of differentially expressed transcripts and proteins between day 17 SL-II CD16 + neutrophils compared to PMNs. (H) Functional enrichment showing the normalized enrichment score (NES) of molecular functions that were enriched within up- or downregulated transcripts and proteins in day 17 SL-II CD16 + neutrophils compared to PMNs. Molecular mechanisms were obtained from different databases, including Wiki-Pathways (∗), Gene Onthology (∗∗), or Reactome (∗∗∗). Neutrophil degranulation is highlighted in red. (I) Scatterplot comparing transcriptome and proteome effect size estimates for all transcript/protein pairs that were identified when comparing day 17 SL-II CD16 + neutrophils and PMNs. Gene/protein pairs highlighted in black were considered statistically significant after multiple testing correction FDR <0.05 and |log2 fold change| > 1 for proteome and 2 for transcriptome. n values represent the number of individual donor samples.

    Article Snippet: Mouse Anti-Human CD66b Monoclonal antibody, FITC Conjugated (Clone 80H3) , Bio-Rad , Cat #MCA216F; RRID: AB_2077860.

    Techniques: Derivative Assay, Cell Culture, Staining, Expressing, Flow Cytometry, Functional Assay

    CD34 + HSPC-derived neutrophils gain neutrophil characteristics over time (A) Representative cytospins of CD34 + HSPC-derived neutrophils cultured in SL-II medium (Bulk) during differentiation on day 0, 10, 14, and 17. Cells were stained with Giemsa-May staining and scalebars were set at 10 μm ( n = 14). (B) Representative flow cytometric analysis of surface markers CD34, HLA-DR, CD66b, SIGLEC9, CD177, and CD10 expressed on CD34 + HSPC-derived neutrophils cultured in SL-II medium (pink) on days 0, 10, and the most mature (CD11b/CD16 + ) fraction on days 14 and 17 compared to PMNs (blue). Histograms of unstained controls are shown in gray ( n = 6 for CD34, n = 4 for HLA-DR, n = 8 for CD66b, SIGLEC9, CD177, and CD10). (C) Sankey plot shows the relative proportion of transcripts and proteins that were different when comparing HSPCs on day 0, SL-II Bulk day 10, CD16 + SL-II day 14, and CD16 + SL-II day 17 to PMNs. Transcripts and proteins that were upregulated are shown in red, downregulated in blue, and non-differentially expressed are shown in gray (FDR <0.05 and log2 fold change| > 1 for proteome and 2 for transcriptome). (D) WGCNA network constructed using z-scores of transcripts and proteins from HSPCs on day 0, SL-II Bulk day 10, CD16 + SL-II day 14, and CD16 + SL-II day 17 samples. The 14 modules were clustered based on Pearson’s correlation into four different groups (group A, B, C, and D). Blue edges represent Pearson correlation <0.7, and red edges indicate Pearson’s correlations >0.7. Modules that were enriched for neutrophil degranulation are highlighted in yellow. (E) Enrichment heatmap for granule, mitochondrial, and metabolic databases per module. FDR values were obtained from a chi-square test between transcript/protein pairs in modules and each database separately. (F) Scatterplot of the z-scores for transcriptome and proteome along the four stages of differentiation of SL-II in contrast to PMNs for all modules collapsed to the four groups (A–D). Data in (F) is represented as mean ± SD for all transcript/protein pairs included in the modules for PMNs and each stage of SL-II neutrophil differentiation.

    Journal: iScience

    Article Title: Characterization of human CD34 + HSPC-derived neutrophils with limited myeloid-derived immunosuppressive cell activity

    doi: 10.1016/j.isci.2025.113404

    Figure Lengend Snippet: CD34 + HSPC-derived neutrophils gain neutrophil characteristics over time (A) Representative cytospins of CD34 + HSPC-derived neutrophils cultured in SL-II medium (Bulk) during differentiation on day 0, 10, 14, and 17. Cells were stained with Giemsa-May staining and scalebars were set at 10 μm ( n = 14). (B) Representative flow cytometric analysis of surface markers CD34, HLA-DR, CD66b, SIGLEC9, CD177, and CD10 expressed on CD34 + HSPC-derived neutrophils cultured in SL-II medium (pink) on days 0, 10, and the most mature (CD11b/CD16 + ) fraction on days 14 and 17 compared to PMNs (blue). Histograms of unstained controls are shown in gray ( n = 6 for CD34, n = 4 for HLA-DR, n = 8 for CD66b, SIGLEC9, CD177, and CD10). (C) Sankey plot shows the relative proportion of transcripts and proteins that were different when comparing HSPCs on day 0, SL-II Bulk day 10, CD16 + SL-II day 14, and CD16 + SL-II day 17 to PMNs. Transcripts and proteins that were upregulated are shown in red, downregulated in blue, and non-differentially expressed are shown in gray (FDR <0.05 and log2 fold change| > 1 for proteome and 2 for transcriptome). (D) WGCNA network constructed using z-scores of transcripts and proteins from HSPCs on day 0, SL-II Bulk day 10, CD16 + SL-II day 14, and CD16 + SL-II day 17 samples. The 14 modules were clustered based on Pearson’s correlation into four different groups (group A, B, C, and D). Blue edges represent Pearson correlation <0.7, and red edges indicate Pearson’s correlations >0.7. Modules that were enriched for neutrophil degranulation are highlighted in yellow. (E) Enrichment heatmap for granule, mitochondrial, and metabolic databases per module. FDR values were obtained from a chi-square test between transcript/protein pairs in modules and each database separately. (F) Scatterplot of the z-scores for transcriptome and proteome along the four stages of differentiation of SL-II in contrast to PMNs for all modules collapsed to the four groups (A–D). Data in (F) is represented as mean ± SD for all transcript/protein pairs included in the modules for PMNs and each stage of SL-II neutrophil differentiation.

    Article Snippet: Mouse Anti-Human CD66b Monoclonal antibody, FITC Conjugated (Clone 80H3) , Bio-Rad , Cat #MCA216F; RRID: AB_2077860.

    Techniques: Derivative Assay, Cell Culture, Staining, Construct

    SL-II CD16 + neutrophils were able to release granules but showed granular content distinct from PMNs (A) Representative FSC/SSC plots measured by flow cytometry for PMNs and SL-II CD16 + neutrophils ( n = 14). (B) Release of serine-proteases ELANE and CTSG as measured by the maximal combined degradation of DQ-BSA after stimulation with CytoB and fMLP. Lysis of cells with Tx-100 was used as a control for maximal release. ( n = 4). (C) Geometric mean florescence intensity of CD63 (azurophilic granules) ( n = 10 for PMNs and n = 4 for SL-II CD16 + neutrophils), CD66b (specific granules) ( n = 9 for PMNs and n = 4 for SL-II CD16 + neutrophils) and LOX-1 (specific granules) ( n = 6 for PMNs and n = 4 for SL-II CD16 + neutrophils) on PMNs (blue) and SL-II CD16 + neutrophils (pink) in unstimulated conditions, after stimulation with PAF/fMLP or CytoB/fMLP measured by flow cytometry. Negative values were considered to be 0. (D) Representative histograms for degranulation (gMFI shown in C) by PMNs (blue) and SL-II CD16 + neutrophils (pink) under different conditions. Histograms of unstained controls are shown in gray. (E) Proportion of valid values for granule proteins for CD34 + HSPCs, CD16 + SL-II neutrophils, and PMNs. (F) Boxplots showing the log2 normalized read counts and log2 LFQ for signature granule proteins (i.e., MPO, ELANE, CTSG, LTF, and MMP9) for CD34 + HSPCs, CD16 + SL-II neutrophils, and PMNs. (G) Scatterplot of the effect size estimates for granule proteins when comparing CD16 + SL-II neutrophils to PMNs. Granule proteins were separated into azurophilic granules, specific granules, gelatinase granules, and secretory vesicles. Dots highlighted in red are considered statistically significant after multiple testing correction (FDR <0.05) and |log2 fold change| > 1. Data in (B), (C), and (F) is represented as median and interquartile range. p values were calculated using Mann-Whitney U tests and labeled as ∗ p < 0.05, ∗∗ p < 0.01. n values represent the number of individual donor samples.

    Journal: iScience

    Article Title: Characterization of human CD34 + HSPC-derived neutrophils with limited myeloid-derived immunosuppressive cell activity

    doi: 10.1016/j.isci.2025.113404

    Figure Lengend Snippet: SL-II CD16 + neutrophils were able to release granules but showed granular content distinct from PMNs (A) Representative FSC/SSC plots measured by flow cytometry for PMNs and SL-II CD16 + neutrophils ( n = 14). (B) Release of serine-proteases ELANE and CTSG as measured by the maximal combined degradation of DQ-BSA after stimulation with CytoB and fMLP. Lysis of cells with Tx-100 was used as a control for maximal release. ( n = 4). (C) Geometric mean florescence intensity of CD63 (azurophilic granules) ( n = 10 for PMNs and n = 4 for SL-II CD16 + neutrophils), CD66b (specific granules) ( n = 9 for PMNs and n = 4 for SL-II CD16 + neutrophils) and LOX-1 (specific granules) ( n = 6 for PMNs and n = 4 for SL-II CD16 + neutrophils) on PMNs (blue) and SL-II CD16 + neutrophils (pink) in unstimulated conditions, after stimulation with PAF/fMLP or CytoB/fMLP measured by flow cytometry. Negative values were considered to be 0. (D) Representative histograms for degranulation (gMFI shown in C) by PMNs (blue) and SL-II CD16 + neutrophils (pink) under different conditions. Histograms of unstained controls are shown in gray. (E) Proportion of valid values for granule proteins for CD34 + HSPCs, CD16 + SL-II neutrophils, and PMNs. (F) Boxplots showing the log2 normalized read counts and log2 LFQ for signature granule proteins (i.e., MPO, ELANE, CTSG, LTF, and MMP9) for CD34 + HSPCs, CD16 + SL-II neutrophils, and PMNs. (G) Scatterplot of the effect size estimates for granule proteins when comparing CD16 + SL-II neutrophils to PMNs. Granule proteins were separated into azurophilic granules, specific granules, gelatinase granules, and secretory vesicles. Dots highlighted in red are considered statistically significant after multiple testing correction (FDR <0.05) and |log2 fold change| > 1. Data in (B), (C), and (F) is represented as median and interquartile range. p values were calculated using Mann-Whitney U tests and labeled as ∗ p < 0.05, ∗∗ p < 0.01. n values represent the number of individual donor samples.

    Article Snippet: Mouse Anti-Human CD66b Monoclonal antibody, FITC Conjugated (Clone 80H3) , Bio-Rad , Cat #MCA216F; RRID: AB_2077860.

    Techniques: Flow Cytometry, Lysis, Control, MANN-WHITNEY, Labeling

    NETosis triggered by CR Abs in the presence of RBD drives thrombosis-associated cell activation. ( A ) Isolated human neutrophils were treated with 10 μg/mL recombinant RBD protein and the indicated antibodies (mAbs 127, LGSV201, or cmIgG, 10 μg/mL) or not. After the indicated time points, the cell suspensions were spun onto a microscope slide by using a cytocentrifuge, fixed and stained with anti-CD66b antibody (green), anti-MPO antibody (red) and DAPI (blue) nuclear stain and then visualized using immunofluorescence staining. The area of NET formation at ( B ) different time points or ( C ) 24 h after stimulation was quantified by ImageJ. Views for NET quantification were randomly selected with 9 pictures from each experiment. The supernatants of neutrophils were harvested after different treatments and further administered to isolated human PBMCs, HUVECs, or platelets. Purified PMA-induced NETs (1 μg/mL) were used as the positive control, and in some experiments, rACE2 was added. Following 24 h of stimulation with neutrophil-conditioned media, PBMC supernatants were collected to measure the ( D ) TNF-α and ( E ) IL-6 levels using ELISA kits. ( F ) Endothelial barrier integrity was determined by a Transwell permeability assay, as described in the Materials and Methods. ( G ) After 15 min of stimulation, the percent fluorescence of P-selectin surface expression on platelets was measured by anti-CD62p FITC-conjugated antibodies and further analyzed by cytoFLEX. The averages of triplicate cultures ± SD are shown. Statistical significance was calculated using one-way ANOVA and Tukey’s post hoc test, **** p < 0.0001. Bar: 25 μm

    Journal: Journal of Biomedical Science

    Article Title: Enhancement of NETosis by ACE2-cross-reactive anti-SARS-CoV-2 RBD antibodies in patients with COVID-19

    doi: 10.1186/s12929-024-01026-5

    Figure Lengend Snippet: NETosis triggered by CR Abs in the presence of RBD drives thrombosis-associated cell activation. ( A ) Isolated human neutrophils were treated with 10 μg/mL recombinant RBD protein and the indicated antibodies (mAbs 127, LGSV201, or cmIgG, 10 μg/mL) or not. After the indicated time points, the cell suspensions were spun onto a microscope slide by using a cytocentrifuge, fixed and stained with anti-CD66b antibody (green), anti-MPO antibody (red) and DAPI (blue) nuclear stain and then visualized using immunofluorescence staining. The area of NET formation at ( B ) different time points or ( C ) 24 h after stimulation was quantified by ImageJ. Views for NET quantification were randomly selected with 9 pictures from each experiment. The supernatants of neutrophils were harvested after different treatments and further administered to isolated human PBMCs, HUVECs, or platelets. Purified PMA-induced NETs (1 μg/mL) were used as the positive control, and in some experiments, rACE2 was added. Following 24 h of stimulation with neutrophil-conditioned media, PBMC supernatants were collected to measure the ( D ) TNF-α and ( E ) IL-6 levels using ELISA kits. ( F ) Endothelial barrier integrity was determined by a Transwell permeability assay, as described in the Materials and Methods. ( G ) After 15 min of stimulation, the percent fluorescence of P-selectin surface expression on platelets was measured by anti-CD62p FITC-conjugated antibodies and further analyzed by cytoFLEX. The averages of triplicate cultures ± SD are shown. Statistical significance was calculated using one-way ANOVA and Tukey’s post hoc test, **** p < 0.0001. Bar: 25 μm

    Article Snippet: After blocking, the cells were incubated with a rabbit anti-human CD61 monoclonal antibody (GTX61848, Genetex) and a mouse anti-human CD66b monoclonal antibody (GTX19779, Genetex) and then incubated with fluorescently labeled antibodies against rabbit or mouse IgG (A-11017, A-11072, Invitrogen) and Hoechst 33342 for 1 h and visualized by fluorescence microscopy (Olympus FluoView FV1000, Japan).

    Techniques: Activation Assay, Isolation, Recombinant, Microscopy, Staining, Immunofluorescence, Purification, Positive Control, Enzyme-linked Immunosorbent Assay, Permeability, Fluorescence, Expressing

    Journal: iScience

    Article Title: Transcellular biosynthesis of leukotriene B 4 orchestrates neutrophil swarming to fungi

    doi: 10.1016/j.isci.2022.105226

    Figure Lengend Snippet:

    Article Snippet: Mouse monoclonal APC anti-human CD66b , Invitrogen , Cat#17-0666-42; RRID: AB_2573152.

    Techniques: Recombinant, Spectrophotometry, Gas Chromatography, Enzyme-linked Immunosorbent Assay, Software, Mass Spectrometry

    Lung cancer express human group V (hGV) and neutrophils (CD66b + cells) . Sections of non-tumor (A–D) and tumor lung tissues (E–H) were stained for hGV [ (C,D,G,H) ; brown] or CD66b [ (A,B,E,F) ; brown]. Panels (B,D,F,H) display higher magnification (20×) of panels (A,C,E,G) (10×), respectively.

    Journal: Frontiers in Immunology

    Article Title: Group V Secreted Phospholipase A 2 Induces the Release of Proangiogenic and Antiangiogenic Factors by Human Neutrophils

    doi: 10.3389/fimmu.2017.00443

    Figure Lengend Snippet: Lung cancer express human group V (hGV) and neutrophils (CD66b + cells) . Sections of non-tumor (A–D) and tumor lung tissues (E–H) were stained for hGV [ (C,D,G,H) ; brown] or CD66b [ (A,B,E,F) ; brown]. Panels (B,D,F,H) display higher magnification (20×) of panels (A,C,E,G) (10×), respectively.

    Article Snippet: Following the protein block (BSA 5% in PBS 1×), the slides were incubated with a polyclonal rabbit antibody against hGV (NBP2-31558, Novus Biologicals, Littleton, CO, USA, dilution 1:100) or a monoclonal mouse anti-human CD66b antibody (555723, BD Pharmingen, San Jose, CA, USA, dilution 1:400 at 4°C overnight).

    Techniques: Staining