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microarray-based mrna profiling data  (Thermo Fisher)


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    Thermo Fisher microarray-based mrna profiling data
    Rank correlations between <t> microarray- </t> and real-time quantitative PCR–based gene expression
    Microarray Based Mrna Profiling Data, 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-based+mrna+profiling+data/pmc04485108-467-26--1?v=Thermo+Fisher
    Average 90 stars, based on 1 article reviews
    microarray-based mrna profiling data - by Bioz Stars, 2026-08
    90/100 stars

    Images

    1) Product Images from "Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling"

    Article Title: Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling

    Journal: Proceedings of the National Academy of Sciences of the United States of America

    doi: 10.1073/pnas.1509322112

    Rank correlations between microarray- and real-time quantitative PCR–based gene expression
    Figure Legend Snippet: Rank correlations between microarray- and real-time quantitative PCR–based gene expression

    Techniques Used: Microarray

    Expression of genes encoding ribosomal proteins and mitochondrial electron transport chain complexes I, III, IV, and V is reduced at the transition from CIN3 to cancer. (A) Twenty-four small and 35 large ribosomal subunit proteins (∼70% of all ribosomal proteins) are expressed at statistically significant reduced levels in cancers compared with precancerous CIN3 lesions. Histograms show measurements in cancers by all 177 Affymetrix microarray probe sets for ribosomal protein-encoding genes, normalized to levels measured in CIN3s. (B) Green dots in the five complexes of the mitochondrial electron transport chain indicate proteins with reduced gene expression in cancers. Box plots (Tukey) show the average distribution of gene expression of all differentially expressed ETC complex I, III, IV, and V components (median levels are in red).
    Figure Legend Snippet: Expression of genes encoding ribosomal proteins and mitochondrial electron transport chain complexes I, III, IV, and V is reduced at the transition from CIN3 to cancer. (A) Twenty-four small and 35 large ribosomal subunit proteins (∼70% of all ribosomal proteins) are expressed at statistically significant reduced levels in cancers compared with precancerous CIN3 lesions. Histograms show measurements in cancers by all 177 Affymetrix microarray probe sets for ribosomal protein-encoding genes, normalized to levels measured in CIN3s. (B) Green dots in the five complexes of the mitochondrial electron transport chain indicate proteins with reduced gene expression in cancers. Box plots (Tukey) show the average distribution of gene expression of all differentially expressed ETC complex I, III, IV, and V components (median levels are in red).

    Techniques Used: Expressing, Microarray

    Differential expression of estrogen-responsive genes correlates strongly with cervical cancer progression. (A) Hierarchical clustering of 128 specimens based on changes in gene expression measured by 365 Affymetrix probe sets measuring expression of 217 estrogen-responsive genes shows strong correlation with disease progression. (B) Box plots (Tukey) show the distribution of Affymetrix microarray-based gene expression measurements of CDKN2A (p16), ERα, and estrogen-responsive genes GREB1, PGR1, and AR. White and red horizontal lines indicate median expression levels.
    Figure Legend Snippet: Differential expression of estrogen-responsive genes correlates strongly with cervical cancer progression. (A) Hierarchical clustering of 128 specimens based on changes in gene expression measured by 365 Affymetrix probe sets measuring expression of 217 estrogen-responsive genes shows strong correlation with disease progression. (B) Box plots (Tukey) show the distribution of Affymetrix microarray-based gene expression measurements of CDKN2A (p16), ERα, and estrogen-responsive genes GREB1, PGR1, and AR. White and red horizontal lines indicate median expression levels.

    Techniques Used: Expressing, Microarray



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    microarray-based mrna-profiling data  (Thermo Fisher)
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    Thermo Fisher microarray-based mrna-profiling data
    Microarray Based Mrna Profiling Data, 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-based+mrna+profiling+data/pmc05664542-655-10-8?v=Thermo+Fisher
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    microarray-based mrna profiling data  (Thermo Fisher)
    90
    Thermo Fisher microarray-based mrna profiling data
    Rank correlations between <t> microarray- </t> and real-time quantitative PCR–based gene expression
    Microarray Based Mrna Profiling Data, 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-based+mrna+profiling+data/pmc04485108-467-26--1?v=Thermo+Fisher
    Average 90 stars, based on 1 article reviews
    microarray-based mrna profiling data - by Bioz Stars, 2026-08
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Rank correlations between microarray- and real-time quantitative PCR–based gene expression

    Journal: Proceedings of the National Academy of Sciences of the United States of America

    Article Title: Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling

    doi: 10.1073/pnas.1509322112

    Figure Lengend Snippet: Rank correlations between microarray- and real-time quantitative PCR–based gene expression

    Article Snippet: An additional cryosection from each of 16 normal specimens, 13 CIN1/CIN2 specimens, 23 CIN3 specimens, and 16 cancer specimens was used to independently validate the Affymetrix microarray-based mRNA profiling data by RTQ-PCR.

    Techniques: Microarray

    Expression of genes encoding ribosomal proteins and mitochondrial electron transport chain complexes I, III, IV, and V is reduced at the transition from CIN3 to cancer. (A) Twenty-four small and 35 large ribosomal subunit proteins (∼70% of all ribosomal proteins) are expressed at statistically significant reduced levels in cancers compared with precancerous CIN3 lesions. Histograms show measurements in cancers by all 177 Affymetrix microarray probe sets for ribosomal protein-encoding genes, normalized to levels measured in CIN3s. (B) Green dots in the five complexes of the mitochondrial electron transport chain indicate proteins with reduced gene expression in cancers. Box plots (Tukey) show the average distribution of gene expression of all differentially expressed ETC complex I, III, IV, and V components (median levels are in red).

    Journal: Proceedings of the National Academy of Sciences of the United States of America

    Article Title: Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling

    doi: 10.1073/pnas.1509322112

    Figure Lengend Snippet: Expression of genes encoding ribosomal proteins and mitochondrial electron transport chain complexes I, III, IV, and V is reduced at the transition from CIN3 to cancer. (A) Twenty-four small and 35 large ribosomal subunit proteins (∼70% of all ribosomal proteins) are expressed at statistically significant reduced levels in cancers compared with precancerous CIN3 lesions. Histograms show measurements in cancers by all 177 Affymetrix microarray probe sets for ribosomal protein-encoding genes, normalized to levels measured in CIN3s. (B) Green dots in the five complexes of the mitochondrial electron transport chain indicate proteins with reduced gene expression in cancers. Box plots (Tukey) show the average distribution of gene expression of all differentially expressed ETC complex I, III, IV, and V components (median levels are in red).

    Article Snippet: An additional cryosection from each of 16 normal specimens, 13 CIN1/CIN2 specimens, 23 CIN3 specimens, and 16 cancer specimens was used to independently validate the Affymetrix microarray-based mRNA profiling data by RTQ-PCR.

    Techniques: Expressing, Microarray

    Differential expression of estrogen-responsive genes correlates strongly with cervical cancer progression. (A) Hierarchical clustering of 128 specimens based on changes in gene expression measured by 365 Affymetrix probe sets measuring expression of 217 estrogen-responsive genes shows strong correlation with disease progression. (B) Box plots (Tukey) show the distribution of Affymetrix microarray-based gene expression measurements of CDKN2A (p16), ERα, and estrogen-responsive genes GREB1, PGR1, and AR. White and red horizontal lines indicate median expression levels.

    Journal: Proceedings of the National Academy of Sciences of the United States of America

    Article Title: Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling

    doi: 10.1073/pnas.1509322112

    Figure Lengend Snippet: Differential expression of estrogen-responsive genes correlates strongly with cervical cancer progression. (A) Hierarchical clustering of 128 specimens based on changes in gene expression measured by 365 Affymetrix probe sets measuring expression of 217 estrogen-responsive genes shows strong correlation with disease progression. (B) Box plots (Tukey) show the distribution of Affymetrix microarray-based gene expression measurements of CDKN2A (p16), ERα, and estrogen-responsive genes GREB1, PGR1, and AR. White and red horizontal lines indicate median expression levels.

    Article Snippet: An additional cryosection from each of 16 normal specimens, 13 CIN1/CIN2 specimens, 23 CIN3 specimens, and 16 cancer specimens was used to independently validate the Affymetrix microarray-based mRNA profiling data by RTQ-PCR.

    Techniques: Expressing, Microarray