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mouse crc microarray datasets  (Biotechnology Information)

 
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    Biotechnology Information mouse crc microarray datasets
    Differential expression analysis of <t>microarray</t> data from experimental and human colorectal cancer tissue. ( A , B ) Principal component analysis (PCA) plots of public microarray datasets from mouse GSE86299 ( A ) and human GSE8671 ( B ) tissue, comparing normal colon (blue) and colorectal cancer <t>(CRC)</t> (red). Mouse n = 8 per group; human n = 32 per group. These are representative datasets of a total of three analyzed . ( C , D ) Volcano plots displaying differential gene expression comparing murine ( C ) and human ( D ) CRC tissue with adjacent normal tissue. Genes down- and upregulated in cancer tissue are highlighted in blue and red, respectively. ( E ) Venn diagram illustrating the most common up- and downregulated genes across three experimental mouse models of colitis-associated colorectal cancer (CAC) derived from Gene Expression Omnibus (GEO) datasets. ( F ) Venn diagram illustrating the most common up- and downregulated genes across three human CRC datasets from GEO. The analysis was performed using the limma package version 3.16.2 with cut-offs of false discovery rate ( FDR ) < 0.05 (Benjamini–Hochberg method) and log 2 F C (fold change) < − 1 and > 1 .
    Mouse Crc Microarray Datasets, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mouse crc microarray datasets/product/Biotechnology Information
    Average 86 stars, based on 1 article reviews
    mouse crc microarray datasets - by Bioz Stars, 2026-06
    86/100 stars

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    1) Product Images from "Downregulation of Enteroendocrine Genes Predicts Survival in Colon Cancer: A Bioinformatics-Based Analysis"

    Article Title: Downregulation of Enteroendocrine Genes Predicts Survival in Colon Cancer: A Bioinformatics-Based Analysis

    Journal: International Journal of Molecular Sciences

    doi: 10.3390/ijms262211127

    Differential expression analysis of microarray data from experimental and human colorectal cancer tissue. ( A , B ) Principal component analysis (PCA) plots of public microarray datasets from mouse GSE86299 ( A ) and human GSE8671 ( B ) tissue, comparing normal colon (blue) and colorectal cancer (CRC) (red). Mouse n = 8 per group; human n = 32 per group. These are representative datasets of a total of three analyzed . ( C , D ) Volcano plots displaying differential gene expression comparing murine ( C ) and human ( D ) CRC tissue with adjacent normal tissue. Genes down- and upregulated in cancer tissue are highlighted in blue and red, respectively. ( E ) Venn diagram illustrating the most common up- and downregulated genes across three experimental mouse models of colitis-associated colorectal cancer (CAC) derived from Gene Expression Omnibus (GEO) datasets. ( F ) Venn diagram illustrating the most common up- and downregulated genes across three human CRC datasets from GEO. The analysis was performed using the limma package version 3.16.2 with cut-offs of false discovery rate ( FDR ) < 0.05 (Benjamini–Hochberg method) and log 2 F C (fold change) < − 1 and > 1 .
    Figure Legend Snippet: Differential expression analysis of microarray data from experimental and human colorectal cancer tissue. ( A , B ) Principal component analysis (PCA) plots of public microarray datasets from mouse GSE86299 ( A ) and human GSE8671 ( B ) tissue, comparing normal colon (blue) and colorectal cancer (CRC) (red). Mouse n = 8 per group; human n = 32 per group. These are representative datasets of a total of three analyzed . ( C , D ) Volcano plots displaying differential gene expression comparing murine ( C ) and human ( D ) CRC tissue with adjacent normal tissue. Genes down- and upregulated in cancer tissue are highlighted in blue and red, respectively. ( E ) Venn diagram illustrating the most common up- and downregulated genes across three experimental mouse models of colitis-associated colorectal cancer (CAC) derived from Gene Expression Omnibus (GEO) datasets. ( F ) Venn diagram illustrating the most common up- and downregulated genes across three human CRC datasets from GEO. The analysis was performed using the limma package version 3.16.2 with cut-offs of false discovery rate ( FDR ) < 0.05 (Benjamini–Hochberg method) and log 2 F C (fold change) < − 1 and > 1 .

    Techniques Used: Quantitative Proteomics, Microarray, Gene Expression, Derivative Assay



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    mouse crc microarray datasets  (Biotechnology Information)
    86
    Biotechnology Information mouse crc microarray datasets
    Differential expression analysis of <t>microarray</t> data from experimental and human colorectal cancer tissue. ( A , B ) Principal component analysis (PCA) plots of public microarray datasets from mouse GSE86299 ( A ) and human GSE8671 ( B ) tissue, comparing normal colon (blue) and colorectal cancer <t>(CRC)</t> (red). Mouse n = 8 per group; human n = 32 per group. These are representative datasets of a total of three analyzed . ( C , D ) Volcano plots displaying differential gene expression comparing murine ( C ) and human ( D ) CRC tissue with adjacent normal tissue. Genes down- and upregulated in cancer tissue are highlighted in blue and red, respectively. ( E ) Venn diagram illustrating the most common up- and downregulated genes across three experimental mouse models of colitis-associated colorectal cancer (CAC) derived from Gene Expression Omnibus (GEO) datasets. ( F ) Venn diagram illustrating the most common up- and downregulated genes across three human CRC datasets from GEO. The analysis was performed using the limma package version 3.16.2 with cut-offs of false discovery rate ( FDR ) < 0.05 (Benjamini–Hochberg method) and log 2 F C (fold change) < − 1 and > 1 .
    Mouse Crc Microarray Datasets, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mouse crc microarray datasets/product/Biotechnology Information
    Average 86 stars, based on 1 article reviews
    mouse crc microarray datasets - by Bioz Stars, 2026-06
    86/100 stars
    		  Buy from Supplier

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    Differential expression analysis of microarray data from experimental and human colorectal cancer tissue. ( A , B ) Principal component analysis (PCA) plots of public microarray datasets from mouse GSE86299 ( A ) and human GSE8671 ( B ) tissue, comparing normal colon (blue) and colorectal cancer (CRC) (red). Mouse n = 8 per group; human n = 32 per group. These are representative datasets of a total of three analyzed . ( C , D ) Volcano plots displaying differential gene expression comparing murine ( C ) and human ( D ) CRC tissue with adjacent normal tissue. Genes down- and upregulated in cancer tissue are highlighted in blue and red, respectively. ( E ) Venn diagram illustrating the most common up- and downregulated genes across three experimental mouse models of colitis-associated colorectal cancer (CAC) derived from Gene Expression Omnibus (GEO) datasets. ( F ) Venn diagram illustrating the most common up- and downregulated genes across three human CRC datasets from GEO. The analysis was performed using the limma package version 3.16.2 with cut-offs of false discovery rate ( FDR ) < 0.05 (Benjamini–Hochberg method) and log 2 F C (fold change) < − 1 and > 1 .

    Journal: International Journal of Molecular Sciences

    Article Title: Downregulation of Enteroendocrine Genes Predicts Survival in Colon Cancer: A Bioinformatics-Based Analysis

    doi: 10.3390/ijms262211127

    Figure Lengend Snippet: Differential expression analysis of microarray data from experimental and human colorectal cancer tissue. ( A , B ) Principal component analysis (PCA) plots of public microarray datasets from mouse GSE86299 ( A ) and human GSE8671 ( B ) tissue, comparing normal colon (blue) and colorectal cancer (CRC) (red). Mouse n = 8 per group; human n = 32 per group. These are representative datasets of a total of three analyzed . ( C , D ) Volcano plots displaying differential gene expression comparing murine ( C ) and human ( D ) CRC tissue with adjacent normal tissue. Genes down- and upregulated in cancer tissue are highlighted in blue and red, respectively. ( E ) Venn diagram illustrating the most common up- and downregulated genes across three experimental mouse models of colitis-associated colorectal cancer (CAC) derived from Gene Expression Omnibus (GEO) datasets. ( F ) Venn diagram illustrating the most common up- and downregulated genes across three human CRC datasets from GEO. The analysis was performed using the limma package version 3.16.2 with cut-offs of false discovery rate ( FDR ) < 0.05 (Benjamini–Hochberg method) and log 2 F C (fold change) < − 1 and > 1 .

    Article Snippet: We explored the presence or absence of secretory IEC markers by analyzing three different mouse CRC microarray datasets from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database ( GSE86299 , GSE31105 , and GSE64658 ).

    Techniques: Quantitative Proteomics, Microarray, Gene Expression, Derivative Assay