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gene expression microarray analyses of global mrna and risc-immunoprecipitated mrna in primary human astrocytes and u-87 astrocytoma cells  (LC Sciences)

 
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    Structured Review

    LC Sciences gene expression microarray analyses of global mrna and risc-immunoprecipitated mrna in primary human astrocytes and u-87 astrocytoma cells
    A hierarchical heatmap comparing global <t>mRNA</t> levels <t>to</t> <t>RISC-IP</t> mRNA levels in U-87 astrocytoma and primary astrocytes. MRNAs included in the heatmap had a fold change >1.4 and were significantly expressed (p<0.01).
    Gene Expression Microarray Analyses Of Global Mrna And Risc Immunoprecipitated Mrna In Primary Human Astrocytes And U 87 Astrocytoma Cells, supplied by LC Sciences, 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/mrna+expression+microarray+data/pmc02956662-133-9-21?v=LC+Sciences
    Average 90 stars, based on 1 article reviews
    gene expression microarray analyses of global mrna and risc-immunoprecipitated mrna in primary human astrocytes and u-87 astrocytoma cells - by Bioz Stars, 2026-07
    90/100 stars

    Images

    1) Product Images from "The MicroRNA and MessengerRNA Profile of the RNA-Induced Silencing Complex in Human Primary Astrocyte and Astrocytoma Cells"

    Article Title: The MicroRNA and MessengerRNA Profile of the RNA-Induced Silencing Complex in Human Primary Astrocyte and Astrocytoma Cells

    Journal: PLoS ONE

    doi: 10.1371/journal.pone.0013445

    A hierarchical heatmap comparing global mRNA levels to RISC-IP mRNA levels in U-87 astrocytoma and primary astrocytes. MRNAs included in the heatmap had a fold change >1.4 and were significantly expressed (p<0.01).
    Figure Legend Snippet: A hierarchical heatmap comparing global mRNA levels to RISC-IP mRNA levels in U-87 astrocytoma and primary astrocytes. MRNAs included in the heatmap had a fold change >1.4 and were significantly expressed (p<0.01).

    Techniques Used:

    RISC-immunoprecipitated  mRNA  compared to global cellular  mRNA  in U-87 astrocytoma cells and primary  astrocytes  with a fold change > ±1.8 (p <0.01).
    Figure Legend Snippet: RISC-immunoprecipitated mRNA compared to global cellular mRNA in U-87 astrocytoma cells and primary astrocytes with a fold change > ±1.8 (p <0.01).

    Techniques Used: RNA Binding Assay, Sequencing

    ( A ) MRNA microarray validation with qRT-PCR analysis in grouped RISC-IP U-87 astrocytoma and primary astrocytes samples. Grouped RISC-IP data were compared to the grouped global mRNA from U-87 astrocytoma and primary astrocytes samples. Eight mRNAs were selected from the grouped mRNA microarray dataset and examined by qRT-PCR. Fold change from the mRNA microarray are given by log2 values (left y-axis, light grey bars). Fold change from the qRT-PCR was determined using the 2 -ΔΔCt method and all mRNA expression values were normalized to the beta-actin endogenous control (right y-axis, dark grey bars). Error bars represent the standard deviation of the mean (SD). Importantly, the fold change (y-axis) cannot be directly compared between assays due to differences in calculation methods, but the general trend of up-regulation and down-regulation can be compared. ( B ) MRNAs in RISC compared to the global cellular milieu in U-87 astrocytoma cells. MRNA expression in U-87 astrocytoma cells were normalized to primary astrocytes mRNA expression. All mRNAs had a fold change >2.5 and were significantly expressed (p<0.01). Green and red arrows indicate decreased and increased levels respectively.
    Figure Legend Snippet: ( A ) MRNA microarray validation with qRT-PCR analysis in grouped RISC-IP U-87 astrocytoma and primary astrocytes samples. Grouped RISC-IP data were compared to the grouped global mRNA from U-87 astrocytoma and primary astrocytes samples. Eight mRNAs were selected from the grouped mRNA microarray dataset and examined by qRT-PCR. Fold change from the mRNA microarray are given by log2 values (left y-axis, light grey bars). Fold change from the qRT-PCR was determined using the 2 -ΔΔCt method and all mRNA expression values were normalized to the beta-actin endogenous control (right y-axis, dark grey bars). Error bars represent the standard deviation of the mean (SD). Importantly, the fold change (y-axis) cannot be directly compared between assays due to differences in calculation methods, but the general trend of up-regulation and down-regulation can be compared. ( B ) MRNAs in RISC compared to the global cellular milieu in U-87 astrocytoma cells. MRNA expression in U-87 astrocytoma cells were normalized to primary astrocytes mRNA expression. All mRNAs had a fold change >2.5 and were significantly expressed (p<0.01). Green and red arrows indicate decreased and increased levels respectively.

    Techniques Used: Microarray, Quantitative RT-PCR, Expressing, Standard Deviation

    RISC-immunoprecipitated  mRNA  in human U-87 astrocytoma cells compared to RISC-immunoprecipitated  mRNA  in primary human  astrocytes  with a fold change >±2.6 (p <0.01).
    Figure Legend Snippet: RISC-immunoprecipitated mRNA in human U-87 astrocytoma cells compared to RISC-immunoprecipitated mRNA in primary human astrocytes with a fold change >±2.6 (p <0.01).

    Techniques Used:

    Bar charts display the relative number (-log(p-value)) of mRNAs with a fold change >2.5 and were considered significant (p<0.01). RISC-IP mRNA were indicated with dark blue bars and the global mRNA were indicated with light blue bars. The threshold (yellow lines) were set at p<0.01 and were calculated using Fischer's exact p-value test using IPA software.
    Figure Legend Snippet: Bar charts display the relative number (-log(p-value)) of mRNAs with a fold change >2.5 and were considered significant (p<0.01). RISC-IP mRNA were indicated with dark blue bars and the global mRNA were indicated with light blue bars. The threshold (yellow lines) were set at p<0.01 and were calculated using Fischer's exact p-value test using IPA software.

    Techniques Used: Software

    Bar charts display the relative number (-log(p-value)) of mRNAs with a fold change >2.5 and were considered significant (p<0.01). RISC-IP mRNA were indicated with dark blue bars and the global mRNA were indicated with light blue bars. The threshold (yellow lines) were set at p<0.01 and were calculated using Fischer's exact p-value test using IPA software.
    Figure Legend Snippet: Bar charts display the relative number (-log(p-value)) of mRNAs with a fold change >2.5 and were considered significant (p<0.01). RISC-IP mRNA were indicated with dark blue bars and the global mRNA were indicated with light blue bars. The threshold (yellow lines) were set at p<0.01 and were calculated using Fischer's exact p-value test using IPA software.

    Techniques Used: Software

    Specific  messenger RNA  fold change linked to the increased levels of miR-34a in U-87  astrocytoma  RISC.
    Figure Legend Snippet: Specific messenger RNA fold change linked to the increased levels of miR-34a in U-87 astrocytoma RISC.

    Techniques Used: Permeability, Migration, Expressing, Binding Assay, Isolation

    Specific  messenger RNA  fold change linked to increased levels of miR-195 in U-87  astrocytoma  RISC.
    Figure Legend Snippet: Specific messenger RNA fold change linked to increased levels of miR-195 in U-87 astrocytoma RISC.

    Techniques Used: Transduction



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    Image Search Results


     microRNA  and gene expression  microarray  datasets related to idiopathic pulmonary fibrosis.

    Journal: Mediators of Inflammation

    Article Title: Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis

    doi: 10.1155/2017/1804240

    Figure Lengend Snippet: microRNA and gene expression microarray datasets related to idiopathic pulmonary fibrosis.

    Article Snippet: Microarray data from IPF-related microRNA and mRNA expression profiles were retrieved and downloaded from the National Center for Biotechnology Information (NCBI) GEO database ( http://www.ncbi.nlmNih.gov/geo ).

    Techniques: Expressing, Microarray