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high-throughput pepchiptm kinomics microarray system  (Kinomics Inc)

 
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    Kinomics Inc high-throughput pepchiptm kinomics microarray system
    ( A ) The overview of study design for peptide <t>microarray</t> profiling of pediatric AML samples to identify active signaling cascade and potential druggable targets depicted in this figure. <t>PepChipTM</t> microarray data of 96 AML patients were analyzed using unsupervised hierarchical clustering. Patients characteristics were correlated with clusters. Provisional scheme of the activated signal transduction pathways between two clusters was analyzed by Metacore GenoGo software. ( B ) Unsupervised hierarchical clustering of the activated peptides of the array using average linkage algorithm is presented in this figure. The heat map graphically represents the 192 activated peptides constructed from quantile normalized peptide activation intensities. Patients are significantly separated into two actual clusters by gap statistics depending on the peptide activation intensities. The patient karyotypes are marked in the bottom of the figure. Peptide activation activity is scaled so that green represents lower activation and red represents higher activation. The 192 peptides names corresponding with the phosphorylation consensus sequences of the proteins they originated from were presented in ( C ) Bar diagram shows the significant fold differences for a selective group of interesting categorized peptides between the AML samples of two clusters (cluster-1 and cluster-2) and CD34+ NBM controls ( n = 4). Proteins from which the peptide sequences are derived and the explicit peptide phosphorylation sites are indicated in the graph.
    High Throughput Pepchiptm Kinomics Microarray System, supplied by Kinomics Inc, 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/product/high-throughput+pepchiptm+kinomics+microarray+system/pmc06659796-38-5-7?v=Kinomics+Inc
    Average 90 stars, based on 1 article reviews
    high-throughput pepchiptm kinomics microarray system - by Bioz Stars, 2026-06
    90/100 stars

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    1) Product Images from "Peptide microarray of pediatric acute myeloid leukemia is related to relapse and reveals involvement of DNA damage response and repair"

    Article Title: Peptide microarray of pediatric acute myeloid leukemia is related to relapse and reveals involvement of DNA damage response and repair

    Journal: Oncotarget

    doi: 10.18632/oncotarget.27086

    ( A ) The overview of study design for peptide microarray profiling of pediatric AML samples to identify active signaling cascade and potential druggable targets depicted in this figure. PepChipTM microarray data of 96 AML patients were analyzed using unsupervised hierarchical clustering. Patients characteristics were correlated with clusters. Provisional scheme of the activated signal transduction pathways between two clusters was analyzed by Metacore GenoGo software. ( B ) Unsupervised hierarchical clustering of the activated peptides of the array using average linkage algorithm is presented in this figure. The heat map graphically represents the 192 activated peptides constructed from quantile normalized peptide activation intensities. Patients are significantly separated into two actual clusters by gap statistics depending on the peptide activation intensities. The patient karyotypes are marked in the bottom of the figure. Peptide activation activity is scaled so that green represents lower activation and red represents higher activation. The 192 peptides names corresponding with the phosphorylation consensus sequences of the proteins they originated from were presented in ( C ) Bar diagram shows the significant fold differences for a selective group of interesting categorized peptides between the AML samples of two clusters (cluster-1 and cluster-2) and CD34+ NBM controls ( n = 4). Proteins from which the peptide sequences are derived and the explicit peptide phosphorylation sites are indicated in the graph.
    Figure Legend Snippet: ( A ) The overview of study design for peptide microarray profiling of pediatric AML samples to identify active signaling cascade and potential druggable targets depicted in this figure. PepChipTM microarray data of 96 AML patients were analyzed using unsupervised hierarchical clustering. Patients characteristics were correlated with clusters. Provisional scheme of the activated signal transduction pathways between two clusters was analyzed by Metacore GenoGo software. ( B ) Unsupervised hierarchical clustering of the activated peptides of the array using average linkage algorithm is presented in this figure. The heat map graphically represents the 192 activated peptides constructed from quantile normalized peptide activation intensities. Patients are significantly separated into two actual clusters by gap statistics depending on the peptide activation intensities. The patient karyotypes are marked in the bottom of the figure. Peptide activation activity is scaled so that green represents lower activation and red represents higher activation. The 192 peptides names corresponding with the phosphorylation consensus sequences of the proteins they originated from were presented in ( C ) Bar diagram shows the significant fold differences for a selective group of interesting categorized peptides between the AML samples of two clusters (cluster-1 and cluster-2) and CD34+ NBM controls ( n = 4). Proteins from which the peptide sequences are derived and the explicit peptide phosphorylation sites are indicated in the graph.

    Techniques Used: Peptide Microarray, Microarray, Transduction, Software, Construct, Activation Assay, Activity Assay, Phospho-proteomics, Derivative Assay



    Similar Products

    high-throughput pepchiptm kinomics microarray system  (Kinomics Inc)
    90
    Kinomics Inc high-throughput pepchiptm kinomics microarray system
    ( A ) The overview of study design for peptide <t>microarray</t> profiling of pediatric AML samples to identify active signaling cascade and potential druggable targets depicted in this figure. <t>PepChipTM</t> microarray data of 96 AML patients were analyzed using unsupervised hierarchical clustering. Patients characteristics were correlated with clusters. Provisional scheme of the activated signal transduction pathways between two clusters was analyzed by Metacore GenoGo software. ( B ) Unsupervised hierarchical clustering of the activated peptides of the array using average linkage algorithm is presented in this figure. The heat map graphically represents the 192 activated peptides constructed from quantile normalized peptide activation intensities. Patients are significantly separated into two actual clusters by gap statistics depending on the peptide activation intensities. The patient karyotypes are marked in the bottom of the figure. Peptide activation activity is scaled so that green represents lower activation and red represents higher activation. The 192 peptides names corresponding with the phosphorylation consensus sequences of the proteins they originated from were presented in ( C ) Bar diagram shows the significant fold differences for a selective group of interesting categorized peptides between the AML samples of two clusters (cluster-1 and cluster-2) and CD34+ NBM controls ( n = 4). Proteins from which the peptide sequences are derived and the explicit peptide phosphorylation sites are indicated in the graph.
    High Throughput Pepchiptm Kinomics Microarray System, supplied by Kinomics Inc, 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/product/high-throughput+pepchiptm+kinomics+microarray+system/pmc06659796-38-5-7?v=Kinomics+Inc
    Average 90 stars, based on 1 article reviews
    high-throughput pepchiptm kinomics microarray system - by Bioz Stars, 2026-06
    90/100 stars
    		  Buy from Supplier

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    ( A ) The overview of study design for peptide microarray profiling of pediatric AML samples to identify active signaling cascade and potential druggable targets depicted in this figure. PepChipTM microarray data of 96 AML patients were analyzed using unsupervised hierarchical clustering. Patients characteristics were correlated with clusters. Provisional scheme of the activated signal transduction pathways between two clusters was analyzed by Metacore GenoGo software. ( B ) Unsupervised hierarchical clustering of the activated peptides of the array using average linkage algorithm is presented in this figure. The heat map graphically represents the 192 activated peptides constructed from quantile normalized peptide activation intensities. Patients are significantly separated into two actual clusters by gap statistics depending on the peptide activation intensities. The patient karyotypes are marked in the bottom of the figure. Peptide activation activity is scaled so that green represents lower activation and red represents higher activation. The 192 peptides names corresponding with the phosphorylation consensus sequences of the proteins they originated from were presented in ( C ) Bar diagram shows the significant fold differences for a selective group of interesting categorized peptides between the AML samples of two clusters (cluster-1 and cluster-2) and CD34+ NBM controls ( n = 4). Proteins from which the peptide sequences are derived and the explicit peptide phosphorylation sites are indicated in the graph.

    Journal: Oncotarget

    Article Title: Peptide microarray of pediatric acute myeloid leukemia is related to relapse and reveals involvement of DNA damage response and repair

    doi: 10.18632/oncotarget.27086

    Figure Lengend Snippet: ( A ) The overview of study design for peptide microarray profiling of pediatric AML samples to identify active signaling cascade and potential druggable targets depicted in this figure. PepChipTM microarray data of 96 AML patients were analyzed using unsupervised hierarchical clustering. Patients characteristics were correlated with clusters. Provisional scheme of the activated signal transduction pathways between two clusters was analyzed by Metacore GenoGo software. ( B ) Unsupervised hierarchical clustering of the activated peptides of the array using average linkage algorithm is presented in this figure. The heat map graphically represents the 192 activated peptides constructed from quantile normalized peptide activation intensities. Patients are significantly separated into two actual clusters by gap statistics depending on the peptide activation intensities. The patient karyotypes are marked in the bottom of the figure. Peptide activation activity is scaled so that green represents lower activation and red represents higher activation. The 192 peptides names corresponding with the phosphorylation consensus sequences of the proteins they originated from were presented in ( C ) Bar diagram shows the significant fold differences for a selective group of interesting categorized peptides between the AML samples of two clusters (cluster-1 and cluster-2) and CD34+ NBM controls ( n = 4). Proteins from which the peptide sequences are derived and the explicit peptide phosphorylation sites are indicated in the graph.

    Article Snippet: In this study, using a high-throughput PepChipTM Kinomics microarray system, pediatric AML samples were analyzed to gain insights of active signal transduction pathway.

    Techniques: Peptide Microarray, Microarray, Transduction, Software, Construct, Activation Assay, Activity Assay, Phospho-proteomics, Derivative Assay