micromax direct cdna microarray system (NEN Life Science)
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Micromax Direct Cdna Microarray System, supplied by NEN Life Science, 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/direct+cdna+microarray+system/micromax+direct+cdna+microarray+system/pmc04973579-565-17-21
Average 90 stars, based on 1 article reviews
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1) Product Images from "Genomic and proteomic profiling of oxidative stress response in human diploid fibroblasts"
Article Title: Genomic and proteomic profiling of oxidative stress response in human diploid fibroblasts
Journal: Biogerontology
doi: 10.1007/s10522-008-9157-3
Figure Legend Snippet: Display of the proteomics data by the cytoscape network. Proteins detected only in H2O2 treated group (a, red) or control group (b, green) were imported into the Cytoscape 2.4.0 software for building the network. The nodes represent individual proteins and squares indicate gene ontology terms. The colors of the edges enhance the view of corresponding gene ontology groups in the network of microarray data
Techniques Used: Software, Microarray
Figure Legend Snippet: cDNA Microarray detection of genes changing expression in HDFs with H 2 O 2 treatment
Techniques Used: Microarray, Expressing, Functional Assay, Binding Assay, Activity Assay, Coagulation, Translocation Assay, Derivative Assay, Sequencing, Protein Binding, Variant Assay, RNA Binding Assay
Figure Legend Snippet: The network of genes increased or decreased in H2O2 treated cells. HDFs were treated with 600 μM H2O2 for 2 h. Microarray analyses were performed using RNA collected 72 h after H2O2 treatment. The nodes represent genes increasing (a, red) or decreasing (b, blue) in H2O2 treated cells. The color shades of nodes reflect the degree of changes, with darker color indicating more increase (red) or decrease (blue) than the lighter shade of color. The squares represent gene ontology terms. The colors of the edges enhance the view of corresponding gene ontology groups in the network of proteomic data
Techniques Used: Microarray
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