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microarray analysis service  (Thermo Fisher)


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    Thermo Fisher microarray analysis service
    Pathway analysis comparing treatment groups. Ingenuity Pathway Analysis was used to predict signaling pathways between Arrest and Sham mice (top), Sham+Metformin (Sham+Met) and Sham mice (middle), and Arrest+Metformin (Arrest+Met) to Arrest mice (bottom) based on <t>microarray</t> data collected from left ventricles one day after arrest (n = 6/group). Bar-graphs include significance values for pathway changes (−log(p-value)) and are colored according to z-score to predict directionality of changes. Differentially expressed genes were included in the analysis when p < 0.05 based on microarray data. Principal component analysis, volcano plots, and hierarchical clustering are included in .
    Microarray Analysis Service, supplied by Thermo Fisher, 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/microarray+analysis+service/pmc10327679-73-8-12
    Average 90 stars, based on 1 article reviews
    microarray analysis service - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Metformin preconditioning protects against myocardial stunning and preserves protein translation in a mouse model of cardiac arrest"

    Article Title: Metformin preconditioning protects against myocardial stunning and preserves protein translation in a mouse model of cardiac arrest

    Journal: Journal of molecular and cellular cardiology plus

    doi: 10.1016/j.jmccpl.2023.100034

    Pathway analysis comparing treatment groups. Ingenuity Pathway Analysis was used to predict signaling pathways between Arrest and Sham mice (top), Sham+Metformin (Sham+Met) and Sham mice (middle), and Arrest+Metformin (Arrest+Met) to Arrest mice (bottom) based on microarray data collected from left ventricles one day after arrest (n = 6/group). Bar-graphs include significance values for pathway changes (−log(p-value)) and are colored according to z-score to predict directionality of changes. Differentially expressed genes were included in the analysis when p < 0.05 based on microarray data. Principal component analysis, volcano plots, and hierarchical clustering are included in .
    Figure Legend Snippet: Pathway analysis comparing treatment groups. Ingenuity Pathway Analysis was used to predict signaling pathways between Arrest and Sham mice (top), Sham+Metformin (Sham+Met) and Sham mice (middle), and Arrest+Metformin (Arrest+Met) to Arrest mice (bottom) based on microarray data collected from left ventricles one day after arrest (n = 6/group). Bar-graphs include significance values for pathway changes (−log(p-value)) and are colored according to z-score to predict directionality of changes. Differentially expressed genes were included in the analysis when p < 0.05 based on microarray data. Principal component analysis, volcano plots, and hierarchical clustering are included in .

    Techniques Used: Microarray

    Related Articles

    Expressing:

    Article Title: Decrypting proteomics, transcriptomics, genomics, and integrated omics for augmenting the abiotic, biotic, and climate change stress resilience in plants.
    Article Snippet: As our planet faces increasing environmental challenges, such as biotic pressures, abiotic stressors, and climate change, it is crucial to understand the complex mechanisms that underlie stress responses in crop plants.. Over past few years, the integration of techniques of proteomics, transcriptomics, and genomics like LC-MS, IT-MS, MALDI-MS, DIGE, ESTs, SAGE, WGS, GWAS, GBS, 2D-PAGE, CRISPR-Cas, cDNA-AFLP, HLS, HRPF, MPSS, CAGE, MAS, IEF, MudPIT, SRM/MRM, SWATH-MS, ESI have significantly enhanced our ability to comprehend the molecular pathways and regulatory networks, involved in balancing the ecosystem/ecology stress adaptation.. This review offers thorough synopsis of the current research on utilizing these multi-omics methods (including metabolomics, ionomics) for battling abiotic (salinity, temperature (chilling/freezing/cold/heat), flood (hypoxia), drought, heavy metals/loids), biotic (pathogens like fungi, bacteria, virus, pests, and insects (aphids, caterpillars, moths, mites, nematodes) and climate change stress (ozone, ultraviolet radiation, green house gases, carbon dioxide).

    Article Title: Roles of the CDCA gene family in breast carcinoma
    Article Snippet: .. The relationships between CDCAs expression and prognosis of BRCA patients were estimated via Kaplan–Meier plotter ( https://kmplot.com/analysis/ ) which utilized Affymetrix microarray data from TCGA. ..

    Article Title: Transcriptomic clustering of chronic lymphocytic leukemia: molecular subtypes based on Bruton's tyrosine kinase expression levels.
    Article Snippet: .. These expression datasets were profiled by Affymetrix Microarray and RNA sequencing, respectively. ..

    Microarray:

    Article Title: Decrypting proteomics, transcriptomics, genomics, and integrated omics for augmenting the abiotic, biotic, and climate change stress resilience in plants.
    Article Snippet: As our planet faces increasing environmental challenges, such as biotic pressures, abiotic stressors, and climate change, it is crucial to understand the complex mechanisms that underlie stress responses in crop plants.. Over past few years, the integration of techniques of proteomics, transcriptomics, and genomics like LC-MS, IT-MS, MALDI-MS, DIGE, ESTs, SAGE, WGS, GWAS, GBS, 2D-PAGE, CRISPR-Cas, cDNA-AFLP, HLS, HRPF, MPSS, CAGE, MAS, IEF, MudPIT, SRM/MRM, SWATH-MS, ESI have significantly enhanced our ability to comprehend the molecular pathways and regulatory networks, involved in balancing the ecosystem/ecology stress adaptation.. This review offers thorough synopsis of the current research on utilizing these multi-omics methods (including metabolomics, ionomics) for battling abiotic (salinity, temperature (chilling/freezing/cold/heat), flood (hypoxia), drought, heavy metals/loids), biotic (pathogens like fungi, bacteria, virus, pests, and insects (aphids, caterpillars, moths, mites, nematodes) and climate change stress (ozone, ultraviolet radiation, green house gases, carbon dioxide).

    Article Title: Enterocyte-like differentiation defines metabolic gene signatures of CMS3 colorectal cancers and provides therapeutic vulnerability
    Article Snippet: .. Affymetrix microarray data of human precursor lesions were obtained from GSE45270 and RMA values were used. ..

    Article Title: Roles of the CDCA gene family in breast carcinoma
    Article Snippet: .. The relationships between CDCAs expression and prognosis of BRCA patients were estimated via Kaplan–Meier plotter ( https://kmplot.com/analysis/ ) which utilized Affymetrix microarray data from TCGA. ..

    Article Title: Maternal X chromosome pericentric inversion resulting in the genetic analysis of offspring pedigrees with deletions at Xp22.33 and Xp22.33p11.3, and duplications at Xq27.3q28: Case report
    Article Snippet: The CytoScan 750K Array Kit (Affymetrix, Santa Clara, CA) was used, which contains approximately 750,000 copy number probes and 200,000 SNP probes, designed to cover known oncogenes. .. The results were analyzed using software compatible with the Affymetrix microarray platform and compared with relevant databases. ..

    Article Title: Characterizing the omics landscape based on 10,000+ datasets.
    Article Snippet: .. While Affymetrix microarray datasets show a negative correlation between ‘Mean’ and ‘log2(Variance)’, this is not the case for Agilent datasets. .. Agilent datasets, on the other hand, show a negative correlation between ‘log2(Variance)’ and both ‘Skewness’ and ‘Kurtosis’.

    Article Title: Transcriptomic clustering of chronic lymphocytic leukemia: molecular subtypes based on Bruton's tyrosine kinase expression levels.
    Article Snippet: .. These expression datasets were profiled by Affymetrix Microarray and RNA sequencing, respectively. ..

    Article Title: Impact of prolactin treatment on enhancing the cellular responses of MCF7 breast cancer cells to tamoxifen treatment
    Article Snippet: .. This tool analyses the effect of 54,675 genes on the survival outcome of patients using 10,293 cancer samples from the Affymetrix microarray data in the Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/geo/ ), the European Genome phenome Archive (EGA: https://ega.crg.eu/ ) and The Cancer Genome Atlas (TCGA: http://cancergenome.nih.gov/ ) databases. ..

    Article Title: The Multifaceted Roles of Myrrha in the Treatment of Breast Cancer: Potential Therapeutic Targets and Promises.
    Article Snippet: .. This analysis is based on gene arrays, RNAsequence, or next-generation sequencing (for mutation data) extracted from the Affymetrix microarray data in the Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/ geo/), the European Genome phenome Archive (EGA: https://ega.crg.eu/), and The Cancer Genome Atlas (TCGA: http://cancergenome.nih.gov/) databases. ..

    Software:

    Article Title: Maternal X chromosome pericentric inversion resulting in the genetic analysis of offspring pedigrees with deletions at Xp22.33 and Xp22.33p11.3, and duplications at Xq27.3q28: Case report
    Article Snippet: The CytoScan 750K Array Kit (Affymetrix, Santa Clara, CA) was used, which contains approximately 750,000 copy number probes and 200,000 SNP probes, designed to cover known oncogenes. .. The results were analyzed using software compatible with the Affymetrix microarray platform and compared with relevant databases. ..

    RNA Sequencing:

    Article Title: Transcriptomic clustering of chronic lymphocytic leukemia: molecular subtypes based on Bruton's tyrosine kinase expression levels.
    Article Snippet: .. These expression datasets were profiled by Affymetrix Microarray and RNA sequencing, respectively. ..

    Gene Expression:

    Article Title: Impact of prolactin treatment on enhancing the cellular responses of MCF7 breast cancer cells to tamoxifen treatment
    Article Snippet: .. This tool analyses the effect of 54,675 genes on the survival outcome of patients using 10,293 cancer samples from the Affymetrix microarray data in the Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/geo/ ), the European Genome phenome Archive (EGA: https://ega.crg.eu/ ) and The Cancer Genome Atlas (TCGA: http://cancergenome.nih.gov/ ) databases. ..

    Article Title: The Multifaceted Roles of Myrrha in the Treatment of Breast Cancer: Potential Therapeutic Targets and Promises.
    Article Snippet: .. This analysis is based on gene arrays, RNAsequence, or next-generation sequencing (for mutation data) extracted from the Affymetrix microarray data in the Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/ geo/), the European Genome phenome Archive (EGA: https://ega.crg.eu/), and The Cancer Genome Atlas (TCGA: http://cancergenome.nih.gov/) databases. ..

    Next-Generation Sequencing:

    Article Title: The Multifaceted Roles of Myrrha in the Treatment of Breast Cancer: Potential Therapeutic Targets and Promises.
    Article Snippet: .. This analysis is based on gene arrays, RNAsequence, or next-generation sequencing (for mutation data) extracted from the Affymetrix microarray data in the Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/ geo/), the European Genome phenome Archive (EGA: https://ega.crg.eu/), and The Cancer Genome Atlas (TCGA: http://cancergenome.nih.gov/) databases. ..

    Mutagenesis:

    Article Title: The Multifaceted Roles of Myrrha in the Treatment of Breast Cancer: Potential Therapeutic Targets and Promises.
    Article Snippet: .. This analysis is based on gene arrays, RNAsequence, or next-generation sequencing (for mutation data) extracted from the Affymetrix microarray data in the Gene Expression Omnibus (GEO: http://www.ncbi.nlm.nih.gov/ geo/), the European Genome phenome Archive (EGA: https://ega.crg.eu/), and The Cancer Genome Atlas (TCGA: http://cancergenome.nih.gov/) databases. ..



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    Image Search Results


    Pathway analysis comparing treatment groups. Ingenuity Pathway Analysis was used to predict signaling pathways between Arrest and Sham mice (top), Sham+Metformin (Sham+Met) and Sham mice (middle), and Arrest+Metformin (Arrest+Met) to Arrest mice (bottom) based on microarray data collected from left ventricles one day after arrest (n = 6/group). Bar-graphs include significance values for pathway changes (−log(p-value)) and are colored according to z-score to predict directionality of changes. Differentially expressed genes were included in the analysis when p < 0.05 based on microarray data. Principal component analysis, volcano plots, and hierarchical clustering are included in .

    Journal: Journal of molecular and cellular cardiology plus

    Article Title: Metformin preconditioning protects against myocardial stunning and preserves protein translation in a mouse model of cardiac arrest

    doi: 10.1016/j.jmccpl.2023.100034

    Figure Lengend Snippet: Pathway analysis comparing treatment groups. Ingenuity Pathway Analysis was used to predict signaling pathways between Arrest and Sham mice (top), Sham+Metformin (Sham+Met) and Sham mice (middle), and Arrest+Metformin (Arrest+Met) to Arrest mice (bottom) based on microarray data collected from left ventricles one day after arrest (n = 6/group). Bar-graphs include significance values for pathway changes (−log(p-value)) and are colored according to z-score to predict directionality of changes. Differentially expressed genes were included in the analysis when p < 0.05 based on microarray data. Principal component analysis, volcano plots, and hierarchical clustering are included in .

    Article Snippet: Microarray analysis was performed on cDNA through the Affymetrix microarray analysis service (ThermoFisher).

    Techniques: Microarray