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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/product/mouse+crc+microarray+datasets/data+microarray/pmc12652218-88-14-23
    Average 86 stars, based on 1 article reviews
    mouse crc microarray datasets - by Bioz Stars, 2026-10
    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

    Related Articles

    Microarray:

    Article Title: Possible involvement of tubular interleukin-34 in macrophage recruitment during colistin-induced nephrotoxicity in rats.
    Article Snippet: .. Complete microarray data have been submitted and are readily retrievable from the public database National Center for Biotechnology Information Vol. ..

    Article Title: Genetic underpinnings of type-2 diabetes (T2D) with colorectal cancer (CRC): In-silico discovery of common molecular signatures, pathogenetic processes and therapeutic candidates
    Article Snippet: .. Two microarray gene expression datasets for each of T2D and CRC were downloaded from the Gene Expression Omnibus (GEO) repository of the National Center for Biotechnology Information (NCBI). ..

    Article Title: Genetic underpinnings of type-2 diabetes (T2D) with colorectal cancer (CRC): In-silico discovery of common molecular signatures, pathogenetic processes and therapeutic candidates.
    Article Snippet: .. Two microarray gene expression datasets for each of T2D and CRC were downloaded from the Gene Expression Omnibus (GEO) repository of the National Center for Biotechnology Information (NCBI). ..

    Article Title: AI guided discovery of a murine model of asymptomatic Alzheimer’s disease
    Article Snippet: .. Publicly available microarray and RNA-sequencing datasets were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) repository [ – ]. .. For Affymetrix microarray platforms, raw intensity files were normalized using Robust Multichip Average (RMA) [ ].

    Article Title: cIAP1 inhibitor of apoptosis is a tumor suppressor in Ewing sarcoma.
    Article Snippet: Ewing sarcoma (EwS) is a highly aggressive pediatric malignancy driven by EWSR1::ETS fusion oncoproteins –primarily EWSR1::FLI1– which deregulate genes essential for differentiation, proliferation, and cell survival.. To uncover key downstream targets of this fusion involved in cell differentiation, we combined transcriptomic profiling of EwS cell lines following EWSR1::ETS inhibition with gene ontology analysis, a clinically annotated gene expression dataset derived from EwS patient material and network analyses.. This integrative approach identified inhibitor of apoptosis protein 1 (cIAP1, alias BIRC2) as an EWSR1::FLI1-suppressed gene.

    Article Title: Zfand5 terminates TLR3/4 signaling and necroptosis by targeting TRIF to the proteasome for degradation.
    Article Snippet: .. Given that PRR-driven innate immune response must be tightly regulated to ensure proper initiation and resolution of inflammation (42), we investigated how macrophages respond to the TLR4 agonist lipopolysaccharide (LPS) by analyzing publicly available microarray data from the National Center for Biotechnology Information (NCBI). ..

    Article Title: Small proline-rich protein 1A is a novel target of peroxisome proliferator-activated receptor gamma in steatotic liver disease.
    Article Snippet: Peroxisome proliferator-activated receptor gamma (PPARγ) is a central regulator of lipid homeostasis; however, the specific downstream effectors mediating hepatic steatosis remain incompletely defined.. In this study, we investigated the molecular basis, by which PPARγ regulates the expression of small proline-rich protein 1 A (SPRR1A) during the development of fatty liver.. We initially performed a bioinformatic re-analysis of publicly available microarray datasets to characterize the gene expression profiles associated with hepatic steatosis in leptin-deficient type 2 diabetic (ob/ob) mice and patients with metabolic dysfunction–associated steatotic liver disease (MASLD).

    Article Title: Identification of susceptibility modules and genes through WGCNA and ceRNA network analysis in neuropathic pain-induced anxiodepression.
    Article Snippet: .. The microarray data under access number GSE92718 were downloaded from the National Center of Biotechnology Information (NCBI) Gene Expression Omnibus (GEO; www.ncbi.nlm.nih.gov/). ..

    Gene Expression:

    Article Title: Genetic underpinnings of type-2 diabetes (T2D) with colorectal cancer (CRC): In-silico discovery of common molecular signatures, pathogenetic processes and therapeutic candidates
    Article Snippet: .. Two microarray gene expression datasets for each of T2D and CRC were downloaded from the Gene Expression Omnibus (GEO) repository of the National Center for Biotechnology Information (NCBI). ..

    Article Title: Genetic underpinnings of type-2 diabetes (T2D) with colorectal cancer (CRC): In-silico discovery of common molecular signatures, pathogenetic processes and therapeutic candidates.
    Article Snippet: .. Two microarray gene expression datasets for each of T2D and CRC were downloaded from the Gene Expression Omnibus (GEO) repository of the National Center for Biotechnology Information (NCBI). ..

    Article Title: AI guided discovery of a murine model of asymptomatic Alzheimer’s disease
    Article Snippet: .. Publicly available microarray and RNA-sequencing datasets were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) repository [ – ]. .. For Affymetrix microarray platforms, raw intensity files were normalized using Robust Multichip Average (RMA) [ ].

    Article Title: Identification of susceptibility modules and genes through WGCNA and ceRNA network analysis in neuropathic pain-induced anxiodepression.
    Article Snippet: .. The microarray data under access number GSE92718 were downloaded from the National Center of Biotechnology Information (NCBI) Gene Expression Omnibus (GEO; www.ncbi.nlm.nih.gov/). ..

    RNA sequencing:

    Article Title: AI guided discovery of a murine model of asymptomatic Alzheimer’s disease
    Article Snippet: .. Publicly available microarray and RNA-sequencing datasets were obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) repository [ – ]. .. For Affymetrix microarray platforms, raw intensity files were normalized using Robust Multichip Average (RMA) [ ].



    Similar Products

    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/product/mouse+crc+microarray+datasets/data+microarray/pmc12652218-88-14-23
    Average 86 stars, based on 1 article reviews
    mouse crc microarray datasets - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    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