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human microrna (mirna) microarray v1.0  (Agilent technologies)


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    Agilent technologies human microrna (mirna) microarray v1.0
    Weighted gene correlation network analysis of sputum <t>microRNA</t> expression and asthma features (n = 78 samples). Using expressed microRNAs (n = 221) in the sputum, six modules were identified. These modules had correlations with multiple demographic, clinical, physiologic, and sputum characteristics. Positive correlations are red, and negative correlations are blue. The microRNAs in the blue (nely) module were positively associated with age, asthma duration, hospitalizations in the previous year, bronchodilator response, and neutrophil and lymphocyte cell counts in the sputum; and negatively correlated with asthma quality of life (AQLQ), FEV1% predicted, and FVC% predicted at baseline. Values are correlation coefficient (nominal P value). BDR = bronchodilator response; Eos = eosinophil; FeNO = fractional exhaled nitric oxide; Lymph = lymphocyte; Mac = <t>macrophage;</t> <t>miRNA</t> = microRNA; Neu = neutrophil.
    Human Microrna (Mirna) Microarray V1.0, supplied by Agilent technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human microrna (mirna) microarray v1.0/product/Agilent technologies
    Average 90 stars, based on 1 article reviews
    human microrna (mirna) microarray v1.0 - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "A Network of Sputum MicroRNAs Is Associated with Neutrophilic Airway Inflammation in Asthma"

    Article Title: A Network of Sputum MicroRNAs Is Associated with Neutrophilic Airway Inflammation in Asthma

    Journal: American Journal of Respiratory and Critical Care Medicine

    doi: 10.1164/rccm.201912-2360OC

    Weighted gene correlation network analysis of sputum microRNA expression and asthma features (n = 78 samples). Using expressed microRNAs (n = 221) in the sputum, six modules were identified. These modules had correlations with multiple demographic, clinical, physiologic, and sputum characteristics. Positive correlations are red, and negative correlations are blue. The microRNAs in the blue (nely) module were positively associated with age, asthma duration, hospitalizations in the previous year, bronchodilator response, and neutrophil and lymphocyte cell counts in the sputum; and negatively correlated with asthma quality of life (AQLQ), FEV1% predicted, and FVC% predicted at baseline. Values are correlation coefficient (nominal P value). BDR = bronchodilator response; Eos = eosinophil; FeNO = fractional exhaled nitric oxide; Lymph = lymphocyte; Mac = macrophage; miRNA = microRNA; Neu = neutrophil.
    Figure Legend Snippet: Weighted gene correlation network analysis of sputum microRNA expression and asthma features (n = 78 samples). Using expressed microRNAs (n = 221) in the sputum, six modules were identified. These modules had correlations with multiple demographic, clinical, physiologic, and sputum characteristics. Positive correlations are red, and negative correlations are blue. The microRNAs in the blue (nely) module were positively associated with age, asthma duration, hospitalizations in the previous year, bronchodilator response, and neutrophil and lymphocyte cell counts in the sputum; and negatively correlated with asthma quality of life (AQLQ), FEV1% predicted, and FVC% predicted at baseline. Values are correlation coefficient (nominal P value). BDR = bronchodilator response; Eos = eosinophil; FeNO = fractional exhaled nitric oxide; Lymph = lymphocyte; Mac = macrophage; miRNA = microRNA; Neu = neutrophil.

    Techniques Used: Expressing

    Weighted gene correlation network analysis of microRNA (miR) and mRNA expression in matched sputum samples (n = 21). Weighted gene correlation network analysis heatmap of the correlation between genes expressed in the sputum (n = 16,966). This analysis identified 32 gene modules correlated with the 12 microRNAs included in the nely microRNA module in paired mRNA and microRNA samples obtained from the same individuals. Positive correlations are red, and negative correlations are blue. Two modules had the most positive and negative correlations. The lightcyan mRNA module had positive correlations with 10 nely module microRNAs, and the turquoise module had negative correlations with 8 nely module microRNAs. Gene enrichment analysis of the lightcyan mRNA module revealed enrichment for TLR (Toll-like receptor) pathways and T-helper cell type 17 pathways, and the turquoise mRNA module was enriched for the unfolded protein response (UPR). These putative biological functions for the two modules are highlighted in the module. Values are correlation coefficient (nominal P value).
    Figure Legend Snippet: Weighted gene correlation network analysis of microRNA (miR) and mRNA expression in matched sputum samples (n = 21). Weighted gene correlation network analysis heatmap of the correlation between genes expressed in the sputum (n = 16,966). This analysis identified 32 gene modules correlated with the 12 microRNAs included in the nely microRNA module in paired mRNA and microRNA samples obtained from the same individuals. Positive correlations are red, and negative correlations are blue. Two modules had the most positive and negative correlations. The lightcyan mRNA module had positive correlations with 10 nely module microRNAs, and the turquoise module had negative correlations with 8 nely module microRNAs. Gene enrichment analysis of the lightcyan mRNA module revealed enrichment for TLR (Toll-like receptor) pathways and T-helper cell type 17 pathways, and the turquoise mRNA module was enriched for the unfolded protein response (UPR). These putative biological functions for the two modules are highlighted in the module. Values are correlation coefficient (nominal P value).

    Techniques Used: Expressing



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    human microrna (mirna) microarray v1.0  (Agilent technologies)
    90
    Agilent technologies human microrna (mirna) microarray v1.0
    Weighted gene correlation network analysis of sputum <t>microRNA</t> expression and asthma features (n = 78 samples). Using expressed microRNAs (n = 221) in the sputum, six modules were identified. These modules had correlations with multiple demographic, clinical, physiologic, and sputum characteristics. Positive correlations are red, and negative correlations are blue. The microRNAs in the blue (nely) module were positively associated with age, asthma duration, hospitalizations in the previous year, bronchodilator response, and neutrophil and lymphocyte cell counts in the sputum; and negatively correlated with asthma quality of life (AQLQ), FEV1% predicted, and FVC% predicted at baseline. Values are correlation coefficient (nominal P value). BDR = bronchodilator response; Eos = eosinophil; FeNO = fractional exhaled nitric oxide; Lymph = lymphocyte; Mac = <t>macrophage;</t> <t>miRNA</t> = microRNA; Neu = neutrophil.
    Human Microrna (Mirna) Microarray V1.0, supplied by Agilent technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human microrna (mirna) microarray v1.0/product/Agilent technologies
    Average 90 stars, based on 1 article reviews
    human microrna (mirna) microarray v1.0 - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    human mirna microarray v1.0  (Agilent technologies)
    90
    Agilent technologies human mirna microarray v1.0
    Weighted gene correlation network analysis of sputum <t>microRNA</t> expression and asthma features (n = 78 samples). Using expressed microRNAs (n = 221) in the sputum, six modules were identified. These modules had correlations with multiple demographic, clinical, physiologic, and sputum characteristics. Positive correlations are red, and negative correlations are blue. The microRNAs in the blue (nely) module were positively associated with age, asthma duration, hospitalizations in the previous year, bronchodilator response, and neutrophil and lymphocyte cell counts in the sputum; and negatively correlated with asthma quality of life (AQLQ), FEV1% predicted, and FVC% predicted at baseline. Values are correlation coefficient (nominal P value). BDR = bronchodilator response; Eos = eosinophil; FeNO = fractional exhaled nitric oxide; Lymph = lymphocyte; Mac = <t>macrophage;</t> <t>miRNA</t> = microRNA; Neu = neutrophil.
    Human Mirna Microarray V1.0, supplied by Agilent technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human mirna microarray v1.0/product/Agilent technologies
    Average 90 stars, based on 1 article reviews
    human mirna microarray v1.0 - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Weighted gene correlation network analysis of sputum microRNA expression and asthma features (n = 78 samples). Using expressed microRNAs (n = 221) in the sputum, six modules were identified. These modules had correlations with multiple demographic, clinical, physiologic, and sputum characteristics. Positive correlations are red, and negative correlations are blue. The microRNAs in the blue (nely) module were positively associated with age, asthma duration, hospitalizations in the previous year, bronchodilator response, and neutrophil and lymphocyte cell counts in the sputum; and negatively correlated with asthma quality of life (AQLQ), FEV1% predicted, and FVC% predicted at baseline. Values are correlation coefficient (nominal P value). BDR = bronchodilator response; Eos = eosinophil; FeNO = fractional exhaled nitric oxide; Lymph = lymphocyte; Mac = macrophage; miRNA = microRNA; Neu = neutrophil.

    Journal: American Journal of Respiratory and Critical Care Medicine

    Article Title: A Network of Sputum MicroRNAs Is Associated with Neutrophilic Airway Inflammation in Asthma

    doi: 10.1164/rccm.201912-2360OC

    Figure Lengend Snippet: Weighted gene correlation network analysis of sputum microRNA expression and asthma features (n = 78 samples). Using expressed microRNAs (n = 221) in the sputum, six modules were identified. These modules had correlations with multiple demographic, clinical, physiologic, and sputum characteristics. Positive correlations are red, and negative correlations are blue. The microRNAs in the blue (nely) module were positively associated with age, asthma duration, hospitalizations in the previous year, bronchodilator response, and neutrophil and lymphocyte cell counts in the sputum; and negatively correlated with asthma quality of life (AQLQ), FEV1% predicted, and FVC% predicted at baseline. Values are correlation coefficient (nominal P value). BDR = bronchodilator response; Eos = eosinophil; FeNO = fractional exhaled nitric oxide; Lymph = lymphocyte; Mac = macrophage; miRNA = microRNA; Neu = neutrophil.

    Article Snippet: RNA was labeled and hybridized to the Agilent Human microRNA (miRNA) Microarray v1.0 (Agilent Technologies).

    Techniques: Expressing

    Weighted gene correlation network analysis of microRNA (miR) and mRNA expression in matched sputum samples (n = 21). Weighted gene correlation network analysis heatmap of the correlation between genes expressed in the sputum (n = 16,966). This analysis identified 32 gene modules correlated with the 12 microRNAs included in the nely microRNA module in paired mRNA and microRNA samples obtained from the same individuals. Positive correlations are red, and negative correlations are blue. Two modules had the most positive and negative correlations. The lightcyan mRNA module had positive correlations with 10 nely module microRNAs, and the turquoise module had negative correlations with 8 nely module microRNAs. Gene enrichment analysis of the lightcyan mRNA module revealed enrichment for TLR (Toll-like receptor) pathways and T-helper cell type 17 pathways, and the turquoise mRNA module was enriched for the unfolded protein response (UPR). These putative biological functions for the two modules are highlighted in the module. Values are correlation coefficient (nominal P value).

    Journal: American Journal of Respiratory and Critical Care Medicine

    Article Title: A Network of Sputum MicroRNAs Is Associated with Neutrophilic Airway Inflammation in Asthma

    doi: 10.1164/rccm.201912-2360OC

    Figure Lengend Snippet: Weighted gene correlation network analysis of microRNA (miR) and mRNA expression in matched sputum samples (n = 21). Weighted gene correlation network analysis heatmap of the correlation between genes expressed in the sputum (n = 16,966). This analysis identified 32 gene modules correlated with the 12 microRNAs included in the nely microRNA module in paired mRNA and microRNA samples obtained from the same individuals. Positive correlations are red, and negative correlations are blue. Two modules had the most positive and negative correlations. The lightcyan mRNA module had positive correlations with 10 nely module microRNAs, and the turquoise module had negative correlations with 8 nely module microRNAs. Gene enrichment analysis of the lightcyan mRNA module revealed enrichment for TLR (Toll-like receptor) pathways and T-helper cell type 17 pathways, and the turquoise mRNA module was enriched for the unfolded protein response (UPR). These putative biological functions for the two modules are highlighted in the module. Values are correlation coefficient (nominal P value).

    Article Snippet: RNA was labeled and hybridized to the Agilent Human microRNA (miRNA) Microarray v1.0 (Agilent Technologies).

    Techniques: Expressing