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human s100a12 en rage duoset elisa  (R&D Systems)


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    R&D Systems human s100a12 en rage duoset elisa
    Human S100a12 En Rage Duoset Elisa, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 9 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 93 stars, based on 9 article reviews
    human s100a12 en rage duoset elisa - by Bioz Stars, 2026-03
    93/100 stars

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    Ninety-one DEGs were identified from GSE60993 and GSE61144 microarrays for STEMI.
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    Ninety-one DEGs were identified from GSE60993 and GSE61144 microarrays for STEMI.
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    ( A and B ) UMAP of an equal number of synovial tissue and BALF macrophages (32,000 from each data set), colored according to their ST and BALF cluster identification. ( C ) Dendrogram of hierarchical clustering analysis of integrated pseudobulk gene expression (average expression in each cluster) of ST and BALF clusters. ( D ) Venn diagram illustrating the numbers of unique and shared marker genes of ST CD48 hi <t>S100A12</t> + and BALF FCN1 + clusters. P < 0.05 after Bonferroni correction for multiple comparisons. ( E ) Heatmap illustrating scaled, pseudo-bulk gene expression of shared upregulated marker genes (highlighted in D ) by BALF and ST clusters. ( F ) Venn diagram illustrating numbers of unique and shared marker genes of ST CD48 + SPP1 + and BALF FCN1 + SPP1 + clusters generated as in E . ( G ) Heatmap illustrating scaled, pseudobulk gene expression of shared upregulated marker genes (highlighted in F ) by ST and BALF clusters. ( H ) Split UMAP plots comparing S100A12 and SPP1 expression in BALF and ST macrophage clusters across different conditions. Intensity of purple indicates expression level. HC, healthy control. ( I ) Dot plots illustrating normalized (mean ± SEM) expression values of S100A12 and SPP1 per cell across all immune and epithelial cell clusters in severe COVID-19 BALF ( n = 6). Framed populations showed the highest expression of these markers.
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    ( A and B ) UMAP of an equal number of synovial tissue and BALF macrophages (32,000 from each data set), colored according to their ST and BALF cluster identification. ( C ) Dendrogram of hierarchical clustering analysis of integrated pseudobulk gene expression (average expression in each cluster) of ST and BALF clusters. ( D ) Venn diagram illustrating the numbers of unique and shared marker genes of ST CD48 hi <t>S100A12</t> + and BALF FCN1 + clusters. P < 0.05 after Bonferroni correction for multiple comparisons. ( E ) Heatmap illustrating scaled, pseudo-bulk gene expression of shared upregulated marker genes (highlighted in D ) by BALF and ST clusters. ( F ) Venn diagram illustrating numbers of unique and shared marker genes of ST CD48 + SPP1 + and BALF FCN1 + SPP1 + clusters generated as in E . ( G ) Heatmap illustrating scaled, pseudobulk gene expression of shared upregulated marker genes (highlighted in F ) by ST and BALF clusters. ( H ) Split UMAP plots comparing S100A12 and SPP1 expression in BALF and ST macrophage clusters across different conditions. Intensity of purple indicates expression level. HC, healthy control. ( I ) Dot plots illustrating normalized (mean ± SEM) expression values of S100A12 and SPP1 per cell across all immune and epithelial cell clusters in severe COVID-19 BALF ( n = 6). Framed populations showed the highest expression of these markers.
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    Image Search Results


    Ninety-one DEGs were identified from GSE60993 and GSE61144 microarrays for STEMI.

    Journal: Frontiers in Cardiovascular Medicine

    Article Title: Human Plasma Transcriptome Implicates Dysregulated S100A12 Expression: A Strong, Early-Stage Prognostic Factor in ST-Segment Elevated Myocardial Infarction: Bioinformatics Analysis and Experimental Verification

    doi: 10.3389/fcvm.2022.874436

    Figure Lengend Snippet: Ninety-one DEGs were identified from GSE60993 and GSE61144 microarrays for STEMI.

    Article Snippet: The concentration of S100A12 was then determined using commercially available ELISA kits (Human S100A12 DuoSet ELISA kit, Catalog # DY1052-05; R&D Systems, Inc., Minneapolis, MN, United States) according to the manufacturer’s instructions.

    Techniques:

    Univariate analysis of survival to discharge in our validated cohort.

    Journal: Frontiers in Cardiovascular Medicine

    Article Title: Human Plasma Transcriptome Implicates Dysregulated S100A12 Expression: A Strong, Early-Stage Prognostic Factor in ST-Segment Elevated Myocardial Infarction: Bioinformatics Analysis and Experimental Verification

    doi: 10.3389/fcvm.2022.874436

    Figure Lengend Snippet: Univariate analysis of survival to discharge in our validated cohort.

    Article Snippet: The concentration of S100A12 was then determined using commercially available ELISA kits (Human S100A12 DuoSet ELISA kit, Catalog # DY1052-05; R&D Systems, Inc., Minneapolis, MN, United States) according to the manufacturer’s instructions.

    Techniques:

    A univariate and multivariate logistic regression model evaluating the association of clinical factors with in-hospital mortality in our validated cohort.

    Journal: Frontiers in Cardiovascular Medicine

    Article Title: Human Plasma Transcriptome Implicates Dysregulated S100A12 Expression: A Strong, Early-Stage Prognostic Factor in ST-Segment Elevated Myocardial Infarction: Bioinformatics Analysis and Experimental Verification

    doi: 10.3389/fcvm.2022.874436

    Figure Lengend Snippet: A univariate and multivariate logistic regression model evaluating the association of clinical factors with in-hospital mortality in our validated cohort.

    Article Snippet: The concentration of S100A12 was then determined using commercially available ELISA kits (Human S100A12 DuoSet ELISA kit, Catalog # DY1052-05; R&D Systems, Inc., Minneapolis, MN, United States) according to the manufacturer’s instructions.

    Techniques:

    Clinical characteristics of patients with MACE during follow-up in our validated cohort.

    Journal: Frontiers in Cardiovascular Medicine

    Article Title: Human Plasma Transcriptome Implicates Dysregulated S100A12 Expression: A Strong, Early-Stage Prognostic Factor in ST-Segment Elevated Myocardial Infarction: Bioinformatics Analysis and Experimental Verification

    doi: 10.3389/fcvm.2022.874436

    Figure Lengend Snippet: Clinical characteristics of patients with MACE during follow-up in our validated cohort.

    Article Snippet: The concentration of S100A12 was then determined using commercially available ELISA kits (Human S100A12 DuoSet ELISA kit, Catalog # DY1052-05; R&D Systems, Inc., Minneapolis, MN, United States) according to the manufacturer’s instructions.

    Techniques:

    Ninety-one DEGs were identified from GSE60993 and GSE61144 microarrays for STEMI.

    Journal: Frontiers in Cardiovascular Medicine

    Article Title: Human Plasma Transcriptome Implicates Dysregulated S100A12 Expression: A Strong, Early-Stage Prognostic Factor in ST-Segment Elevated Myocardial Infarction: Bioinformatics Analysis and Experimental Verification

    doi: 10.3389/fcvm.2022.874436

    Figure Lengend Snippet: Ninety-one DEGs were identified from GSE60993 and GSE61144 microarrays for STEMI.

    Article Snippet: The concentration of S100A12 was then determined using commercially available ELISA kits (Human S100A12 DuoSet ELISA kit, Catalog # DY1052-05; R&D Systems, Inc., Minneapolis, MN, United States) according to the manufacturer’s instructions.

    Techniques:

    Univariate analysis of survival to discharge in our validated cohort.

    Journal: Frontiers in Cardiovascular Medicine

    Article Title: Human Plasma Transcriptome Implicates Dysregulated S100A12 Expression: A Strong, Early-Stage Prognostic Factor in ST-Segment Elevated Myocardial Infarction: Bioinformatics Analysis and Experimental Verification

    doi: 10.3389/fcvm.2022.874436

    Figure Lengend Snippet: Univariate analysis of survival to discharge in our validated cohort.

    Article Snippet: The concentration of S100A12 was then determined using commercially available ELISA kits (Human S100A12 DuoSet ELISA kit, Catalog # DY1052-05; R&D Systems, Inc., Minneapolis, MN, United States) according to the manufacturer’s instructions.

    Techniques:

    A univariate and multivariate logistic regression model evaluating the association of clinical factors with in-hospital mortality in our validated cohort.

    Journal: Frontiers in Cardiovascular Medicine

    Article Title: Human Plasma Transcriptome Implicates Dysregulated S100A12 Expression: A Strong, Early-Stage Prognostic Factor in ST-Segment Elevated Myocardial Infarction: Bioinformatics Analysis and Experimental Verification

    doi: 10.3389/fcvm.2022.874436

    Figure Lengend Snippet: A univariate and multivariate logistic regression model evaluating the association of clinical factors with in-hospital mortality in our validated cohort.

    Article Snippet: The concentration of S100A12 was then determined using commercially available ELISA kits (Human S100A12 DuoSet ELISA kit, Catalog # DY1052-05; R&D Systems, Inc., Minneapolis, MN, United States) according to the manufacturer’s instructions.

    Techniques:

    Clinical characteristics of patients with MACE during follow-up in our validated cohort.

    Journal: Frontiers in Cardiovascular Medicine

    Article Title: Human Plasma Transcriptome Implicates Dysregulated S100A12 Expression: A Strong, Early-Stage Prognostic Factor in ST-Segment Elevated Myocardial Infarction: Bioinformatics Analysis and Experimental Verification

    doi: 10.3389/fcvm.2022.874436

    Figure Lengend Snippet: Clinical characteristics of patients with MACE during follow-up in our validated cohort.

    Article Snippet: The concentration of S100A12 was then determined using commercially available ELISA kits (Human S100A12 DuoSet ELISA kit, Catalog # DY1052-05; R&D Systems, Inc., Minneapolis, MN, United States) according to the manufacturer’s instructions.

    Techniques:

    ( A and B ) UMAP of an equal number of synovial tissue and BALF macrophages (32,000 from each data set), colored according to their ST and BALF cluster identification. ( C ) Dendrogram of hierarchical clustering analysis of integrated pseudobulk gene expression (average expression in each cluster) of ST and BALF clusters. ( D ) Venn diagram illustrating the numbers of unique and shared marker genes of ST CD48 hi S100A12 + and BALF FCN1 + clusters. P < 0.05 after Bonferroni correction for multiple comparisons. ( E ) Heatmap illustrating scaled, pseudo-bulk gene expression of shared upregulated marker genes (highlighted in D ) by BALF and ST clusters. ( F ) Venn diagram illustrating numbers of unique and shared marker genes of ST CD48 + SPP1 + and BALF FCN1 + SPP1 + clusters generated as in E . ( G ) Heatmap illustrating scaled, pseudobulk gene expression of shared upregulated marker genes (highlighted in F ) by ST and BALF clusters. ( H ) Split UMAP plots comparing S100A12 and SPP1 expression in BALF and ST macrophage clusters across different conditions. Intensity of purple indicates expression level. HC, healthy control. ( I ) Dot plots illustrating normalized (mean ± SEM) expression values of S100A12 and SPP1 per cell across all immune and epithelial cell clusters in severe COVID-19 BALF ( n = 6). Framed populations showed the highest expression of these markers.

    Journal: JCI Insight

    Article Title: COVID-19 and RA share an SPP1 myeloid pathway that drives PD-L1 + neutrophils and CD14 + monocytes

    doi: 10.1172/jci.insight.147413

    Figure Lengend Snippet: ( A and B ) UMAP of an equal number of synovial tissue and BALF macrophages (32,000 from each data set), colored according to their ST and BALF cluster identification. ( C ) Dendrogram of hierarchical clustering analysis of integrated pseudobulk gene expression (average expression in each cluster) of ST and BALF clusters. ( D ) Venn diagram illustrating the numbers of unique and shared marker genes of ST CD48 hi S100A12 + and BALF FCN1 + clusters. P < 0.05 after Bonferroni correction for multiple comparisons. ( E ) Heatmap illustrating scaled, pseudo-bulk gene expression of shared upregulated marker genes (highlighted in D ) by BALF and ST clusters. ( F ) Venn diagram illustrating numbers of unique and shared marker genes of ST CD48 + SPP1 + and BALF FCN1 + SPP1 + clusters generated as in E . ( G ) Heatmap illustrating scaled, pseudobulk gene expression of shared upregulated marker genes (highlighted in F ) by ST and BALF clusters. ( H ) Split UMAP plots comparing S100A12 and SPP1 expression in BALF and ST macrophage clusters across different conditions. Intensity of purple indicates expression level. HC, healthy control. ( I ) Dot plots illustrating normalized (mean ± SEM) expression values of S100A12 and SPP1 per cell across all immune and epithelial cell clusters in severe COVID-19 BALF ( n = 6). Framed populations showed the highest expression of these markers.

    Article Snippet: Blood samples were centrifuged (600 g /15 minutes) and plasma aliquots were stored at –80°C until analysis by ELISA for SPP1 (BMS2066; Thermo Fisher Scientific), S100A12 (DY1052; R&D Systems), GAS6 (DY885B; R&D Systems), and PROS1 (NBP2-60585; NOVUS Biological).

    Techniques: Gene Expression, Expressing, Marker, Generated, Control

    ( A ) Patients and healthy donors, shown as the following: n = 121 patients with acute pneumonia ( n = 29 community acquired SARS-CoV-2 – pneumonia, n = 29 mild/moderate COVID-19, n = 63 severe COVID-19), convalescent COVID-19 ( n = 41), and healthy controls ( n = 10). Representative images of lung CT scans. ( B ) Plasma levels of SPP1, S100A12, GAS6, and PROS1 in groups as in A . ( C ) Spearman’s rank correlations between SPP1, S100A12, GAS6, and PROS1 plasma levels in patients with acute COVID-19 pneumonia ( n = 92) with demographic and clinical parameters. Each box displays the r value, and an asterisk indicates statistical significance of P < 0.05. ( D ) Plasma levels of SPP1, S100A12, GAS6, and PROS1 in patients with acute COVID-19 pneumonia ( n = 92) stratified based on lung functions measured by PaO 2 /FiO 2 at the time of hospital admission. Severe respiratory failure was defined by PaO 2 /FiO 2 ≤ 200. ( E ) Percentage of acute COVID-19 pneumonia patients ( n = 92) with PaO 2 /FiO 2 ≤ 200 based on high plasma levels of SPP1 (≥108 ng/mL), S100A12 (≥59 ng/mL), GAS6 (≥24 ng/mL), and PROS1 (≥15 μg/mL). ( F ) COVID-19 patient plasma levels of SPP1, S100A12, GAS6, and PROS1 at the time of hospital admission ( n = 92) stratified based on a patient’s subsequent need to be transferred to ICU. ( G ) Percentage of patients with acute COVID-19 pneumonia ( n = 92) transferred to ICU during the hospitalization based on having high levels of SPP1 (≥108 ng/mL), S100A12 (≥59 ng/mL), GAS6 (≥24 ng/mL), and PROS1 (≥15 μg/mL) at the time of hospital admission. ( B , D , and F ) Data are presented as violin plots with median and interquartile range. Asterisk indicates 1-way ANOVA (Kruskal-Wallis test) with Dunn’s correction for multiple comparisons if more than 2 groups were compared ( B ), or 2-sided Mann-Whitney U was used when 2 groups were compared ( B and D – G ). ( H ) Kaplan-Meier analysis of the rate of transfer of COVID-19 patients to ICU based on their cut-off values for SPP1, S100A12, GAS6, and PROS1 at the time of hospital admission.

    Journal: JCI Insight

    Article Title: COVID-19 and RA share an SPP1 myeloid pathway that drives PD-L1 + neutrophils and CD14 + monocytes

    doi: 10.1172/jci.insight.147413

    Figure Lengend Snippet: ( A ) Patients and healthy donors, shown as the following: n = 121 patients with acute pneumonia ( n = 29 community acquired SARS-CoV-2 – pneumonia, n = 29 mild/moderate COVID-19, n = 63 severe COVID-19), convalescent COVID-19 ( n = 41), and healthy controls ( n = 10). Representative images of lung CT scans. ( B ) Plasma levels of SPP1, S100A12, GAS6, and PROS1 in groups as in A . ( C ) Spearman’s rank correlations between SPP1, S100A12, GAS6, and PROS1 plasma levels in patients with acute COVID-19 pneumonia ( n = 92) with demographic and clinical parameters. Each box displays the r value, and an asterisk indicates statistical significance of P < 0.05. ( D ) Plasma levels of SPP1, S100A12, GAS6, and PROS1 in patients with acute COVID-19 pneumonia ( n = 92) stratified based on lung functions measured by PaO 2 /FiO 2 at the time of hospital admission. Severe respiratory failure was defined by PaO 2 /FiO 2 ≤ 200. ( E ) Percentage of acute COVID-19 pneumonia patients ( n = 92) with PaO 2 /FiO 2 ≤ 200 based on high plasma levels of SPP1 (≥108 ng/mL), S100A12 (≥59 ng/mL), GAS6 (≥24 ng/mL), and PROS1 (≥15 μg/mL). ( F ) COVID-19 patient plasma levels of SPP1, S100A12, GAS6, and PROS1 at the time of hospital admission ( n = 92) stratified based on a patient’s subsequent need to be transferred to ICU. ( G ) Percentage of patients with acute COVID-19 pneumonia ( n = 92) transferred to ICU during the hospitalization based on having high levels of SPP1 (≥108 ng/mL), S100A12 (≥59 ng/mL), GAS6 (≥24 ng/mL), and PROS1 (≥15 μg/mL) at the time of hospital admission. ( B , D , and F ) Data are presented as violin plots with median and interquartile range. Asterisk indicates 1-way ANOVA (Kruskal-Wallis test) with Dunn’s correction for multiple comparisons if more than 2 groups were compared ( B ), or 2-sided Mann-Whitney U was used when 2 groups were compared ( B and D – G ). ( H ) Kaplan-Meier analysis of the rate of transfer of COVID-19 patients to ICU based on their cut-off values for SPP1, S100A12, GAS6, and PROS1 at the time of hospital admission.

    Article Snippet: Blood samples were centrifuged (600 g /15 minutes) and plasma aliquots were stored at –80°C until analysis by ELISA for SPP1 (BMS2066; Thermo Fisher Scientific), S100A12 (DY1052; R&D Systems), GAS6 (DY885B; R&D Systems), and PROS1 (NBP2-60585; NOVUS Biological).

    Techniques: Clinical Proteomics, MANN-WHITNEY

    ( A ) Representative images of lung CT scans (transversal and sagittal view) of a COVID-19 patient taken during acute pneumonia and during convalescence (68.60 ± 4.36 days after hospital discharge). ( B ) Plasma levels of SPP1, S100A12, GAS6, and PROS1 in paired plasma samples from COVID-19 patients at the time of acute pneumonia and at the convalescent phase ( n = 26). ( C ) Plasma levels of SPP1, S100A12, GAS6, and PROS1 in convalescent COVID-19 patients ( n = 41) stratified based on the severity of prior acute pneumonia and compared with the levels of healthy donors ( n = 10). ( D ) Plasma levels of IL-6 in acute pneumonias and post–COVID-19. ( E ) SPP1, S100A12, GAS6, and PROS1 in convalescent COVID-19 patients ( n = 41) stratified based on suffering ( n = 36) or not ( n = 5) at least 1 of the symptoms (fatigue, musculoskeletal, or respiratory symptoms). ( B ) Data are presented as before-and-after plot. Wilcoxon test on paired samples was used, and exact P values are provided on the graphs. ( C – E ) Data are presented as violin plots with median and interquartile range. Asterisks indicate 1-way ANOVA with correction for multiple comparisons if more than 2 groups were compared, or 2-sided Mann-Whitney U test was used when 2 groups were compared ( C – E ). Exact P values are provided on the graphs.

    Journal: JCI Insight

    Article Title: COVID-19 and RA share an SPP1 myeloid pathway that drives PD-L1 + neutrophils and CD14 + monocytes

    doi: 10.1172/jci.insight.147413

    Figure Lengend Snippet: ( A ) Representative images of lung CT scans (transversal and sagittal view) of a COVID-19 patient taken during acute pneumonia and during convalescence (68.60 ± 4.36 days after hospital discharge). ( B ) Plasma levels of SPP1, S100A12, GAS6, and PROS1 in paired plasma samples from COVID-19 patients at the time of acute pneumonia and at the convalescent phase ( n = 26). ( C ) Plasma levels of SPP1, S100A12, GAS6, and PROS1 in convalescent COVID-19 patients ( n = 41) stratified based on the severity of prior acute pneumonia and compared with the levels of healthy donors ( n = 10). ( D ) Plasma levels of IL-6 in acute pneumonias and post–COVID-19. ( E ) SPP1, S100A12, GAS6, and PROS1 in convalescent COVID-19 patients ( n = 41) stratified based on suffering ( n = 36) or not ( n = 5) at least 1 of the symptoms (fatigue, musculoskeletal, or respiratory symptoms). ( B ) Data are presented as before-and-after plot. Wilcoxon test on paired samples was used, and exact P values are provided on the graphs. ( C – E ) Data are presented as violin plots with median and interquartile range. Asterisks indicate 1-way ANOVA with correction for multiple comparisons if more than 2 groups were compared, or 2-sided Mann-Whitney U test was used when 2 groups were compared ( C – E ). Exact P values are provided on the graphs.

    Article Snippet: Blood samples were centrifuged (600 g /15 minutes) and plasma aliquots were stored at –80°C until analysis by ELISA for SPP1 (BMS2066; Thermo Fisher Scientific), S100A12 (DY1052; R&D Systems), GAS6 (DY885B; R&D Systems), and PROS1 (NBP2-60585; NOVUS Biological).

    Techniques: Clinical Proteomics, MANN-WHITNEY