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6 0 dna microarray platform  (Thermo Fisher)


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    Thermo Fisher 6 0 dna microarray platform
    6 0 Dna Microarray Platform, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/dna+microarray+platform/Deoxyribonucleic+acid/pm41440833-69-11-15
    Average 98 stars, based on 1 article reviews
    6 0 dna microarray platform - by Bioz Stars, 2026-11
    98/100 stars

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    Related Articles

    Expressing:

    Article Title: Imaging-Based Surrogate Markers of Transcriptome Subclasses and Signatures in Hepatocellular Carcinoma: Preliminary Results
    Article Snippet: .. We also observed positive associations between each of clinicopathologic stages/pathologic grade/size with multiple gene signatures ( , , Supplementary Table 2 , Supplementary Table 3 ). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Representative expression pattern of vascular invasion signature genes shown with imaging and histology features for the samples profiled with the Affymetrix DNA microarray platform (n=24). ..

    Article Title: Integrated analysis, transcriptome-lipidome, reveals the effects of INO- level ( INO2 and INO4 ) on lipid metabolism in yeast
    Article Snippet: We used the Affymetrix DNA microarray platform to measure the expression level of all genes and access the global effect caused by the INO -level under nutrient-limited conditions (C-limited and N-lim). .. We used the Affymetrix DNA microarray platform to measure the expression level of all genes and access the global effect caused by the INO -level under nutrient-limited conditions (C-limited and N-lim). ..

    Article Title: Mapping the interaction of Snf1 with TORC1 in Saccharomyces cerevisiae
    Article Snippet: .. We used the Affymetrix DNA microarray platform to measure the expression level of all genes and evaluate the global effect caused by deletion of the SNF1 and TOR1 genes under nutrient-limited conditions. ..

    Imaging:

    Article Title: Imaging-Based Surrogate Markers of Transcriptome Subclasses and Signatures in Hepatocellular Carcinoma: Preliminary Results
    Article Snippet: .. We also observed positive associations between each of clinicopathologic stages/pathologic grade/size with multiple gene signatures ( , , Supplementary Table 2 , Supplementary Table 3 ). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Representative expression pattern of vascular invasion signature genes shown with imaging and histology features for the samples profiled with the Affymetrix DNA microarray platform (n=24). ..

    Microarray:

    Article Title: Imaging-Based Surrogate Markers of Transcriptome Subclasses and Signatures in Hepatocellular Carcinoma: Preliminary Results
    Article Snippet: .. We also observed positive associations between each of clinicopathologic stages/pathologic grade/size with multiple gene signatures ( , , Supplementary Table 2 , Supplementary Table 3 ). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Representative expression pattern of vascular invasion signature genes shown with imaging and histology features for the samples profiled with the Affymetrix DNA microarray platform (n=24). ..

    Article Title: Integrated analysis, transcriptome-lipidome, reveals the effects of INO- level ( INO2 and INO4 ) on lipid metabolism in yeast
    Article Snippet: We used the Affymetrix DNA microarray platform to measure the expression level of all genes and access the global effect caused by the INO -level under nutrient-limited conditions (C-limited and N-lim). .. We used the Affymetrix DNA microarray platform to measure the expression level of all genes and access the global effect caused by the INO -level under nutrient-limited conditions (C-limited and N-lim). ..

    Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies
    Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: (DNA microarray platform, Affymetrix) Proteomics: two-dimensional electrophoresis combined with MALDI-TOF mass spectrometry Metabolomics: Millipore Ultrafree-MC PLHCC HMT/CE-TOF-MS) analysis , PCA (Unsupervised ML) , Up-regulation of the iso-citrate dehydrogenase, lipid metabolism and ATP turnover were related anti-obesity effects of different types of coffee.. ..

    Article Title: Machine learning models based on immunological genes to predict the response to neoadjuvant therapy in breast cancer patients
    Article Snippet: .. Raw data and clinicopathological information of GSE20271 profiled on a DNA microarray platform (Affymetrix Human Genome U133A 2.0 Array), were obtained from GEO. ..

    Article Title: A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy
    Article Snippet: .. Hu et al. [ ] developed a gene hybridization quality measure for Affymetrix DNA microarray platform and incorporated it as a quality weighing strategy into the effect size estimation in Choi et al.'s mixture-effect model. We also considered using a hybridization quality measurement as a weighing system when deriving for each gene the score that described the gene's ability in discerning CAN vs. normal allograft. ..

    Article Title: Mapping the interaction of Snf1 with TORC1 in Saccharomyces cerevisiae
    Article Snippet: .. We used the Affymetrix DNA microarray platform to measure the expression level of all genes and evaluate the global effect caused by deletion of the SNF1 and TOR1 genes under nutrient-limited conditions. ..

    Article Title: The G Protein-Coupled Bile Acid Receptor TGR5 (Gpbar1) Modulates Endothelin-1 Signaling in Liver
    Article Snippet: RNA from liver samples of the above-mentioned mice or of LSECs was extracted using the Maxwell 16 LEV simply RNA Tissue Kit (Promega, Madison, WI, USA) and the Maxwell 16 Instrument (Promega, Madison, WI, USA), according to the manufacturer’s instructions. .. A DNA microarray platform (Affymetrix) was used for global gene expression analysis. .. Total RNA preparations were checked for RNA integrity by Agilent 2100 Bioanalyzer quality control.

    Article Title: The multiple sclerosis gut microbiota: A systematic review.
    Article Snippet: Background: To systematically review and synthesize the literature on the multiple sclerosis (MS) gut microbiota composition as compared to persons without MS. Methods: We systematically searched MEDLINE, EMBASE, and Web of Science databases for relevant published articles (2008–2018).. Results: Of 415 articles identified ten fulfilled criteria.. All studies used a case-control design, six sourced participants from the US, two Germany, one Italy, and one Japan.

    Mouse Assay:

    Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies
    Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: (DNA microarray platform, Affymetrix) Proteomics: two-dimensional electrophoresis combined with MALDI-TOF mass spectrometry Metabolomics: Millipore Ultrafree-MC PLHCC HMT/CE-TOF-MS) analysis , PCA (Unsupervised ML) , Up-regulation of the iso-citrate dehydrogenase, lipid metabolism and ATP turnover were related anti-obesity effects of different types of coffee.. ..

    Clinical Proteomics:

    Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies
    Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: (DNA microarray platform, Affymetrix) Proteomics: two-dimensional electrophoresis combined with MALDI-TOF mass spectrometry Metabolomics: Millipore Ultrafree-MC PLHCC HMT/CE-TOF-MS) analysis , PCA (Unsupervised ML) , Up-regulation of the iso-citrate dehydrogenase, lipid metabolism and ATP turnover were related anti-obesity effects of different types of coffee.. ..

    Electrophoresis:

    Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies
    Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: (DNA microarray platform, Affymetrix) Proteomics: two-dimensional electrophoresis combined with MALDI-TOF mass spectrometry Metabolomics: Millipore Ultrafree-MC PLHCC HMT/CE-TOF-MS) analysis , PCA (Unsupervised ML) , Up-regulation of the iso-citrate dehydrogenase, lipid metabolism and ATP turnover were related anti-obesity effects of different types of coffee.. ..

    Mass Spectrometry:

    Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies
    Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: (DNA microarray platform, Affymetrix) Proteomics: two-dimensional electrophoresis combined with MALDI-TOF mass spectrometry Metabolomics: Millipore Ultrafree-MC PLHCC HMT/CE-TOF-MS) analysis , PCA (Unsupervised ML) , Up-regulation of the iso-citrate dehydrogenase, lipid metabolism and ATP turnover were related anti-obesity effects of different types of coffee.. ..

    HMT Assay:

    Article Title: Statistical and Machine-Learning Analyses in Nutritional Genomics Studies
    Article Snippet: Zeevi D. et al., 2015 [ ] , Cohort study , N = 800 healthy, F (60%)–M (40%) 54% Overweight 22% Obese , Nutrition assessment: Dietary habits ( www.personalnutrition.org ) Biochemical analysis: Glucose was measured for 7 days using the iPro2 CGM with Enlite sensors Genomics: DNA extraction (microarray platform, Illumina) Microbiomics: 16S and whole metagenome sequencing from stool , Correlation and regression-based analyses PCoA) (Multivariate analysis-unsupervised ML) , Lower postprandial responses are related to alterations Proteobacteria and Enterobacteriaceae based on the ML algorithm.. .. Takahashi S et al., 2014 [ ] , Case-control Study , Mice (C57BL/6J) 5 groups ( n = 8–9), (9 weeks) Caffeine (2 g coffee powder/140 mL) -Normal diet group = 10% fat -High-fat diet group = 60% fat -Caffeinated coffee group = A high-fat diet + 2% caffeine -Decaffeinated coffee group = A high-fat diet + 2% decaffeinated coffee. -Green unroasted coffee group = A high-fat diet + 2% unroasted caffeinated coffee , Biochemical measurement: Hepatic lipid composition (the Folch method (Folch, Lees, & Sloane, 1957)), plasma liver enzymes (The transaminase C II-test WAKO kit) Genomics: (DNA microarray platform, Affymetrix) Proteomics: two-dimensional electrophoresis combined with MALDI-TOF mass spectrometry Metabolomics: Millipore Ultrafree-MC PLHCC HMT/CE-TOF-MS) analysis , PCA (Unsupervised ML) , Up-regulation of the iso-citrate dehydrogenase, lipid metabolism and ATP turnover were related anti-obesity effects of different types of coffee.. ..

    Hybridization:

    Article Title: A non-parametric meta-analysis approach for combining independent microarray datasets: application using two microarray datasets pertaining to chronic allograft nephropathy
    Article Snippet: .. Hu et al. [ ] developed a gene hybridization quality measure for Affymetrix DNA microarray platform and incorporated it as a quality weighing strategy into the effect size estimation in Choi et al.'s mixture-effect model. We also considered using a hybridization quality measurement as a weighing system when deriving for each gene the score that described the gene's ability in discerning CAN vs. normal allograft. ..

    Gene Expression:

    Article Title: The G Protein-Coupled Bile Acid Receptor TGR5 (Gpbar1) Modulates Endothelin-1 Signaling in Liver
    Article Snippet: RNA from liver samples of the above-mentioned mice or of LSECs was extracted using the Maxwell 16 LEV simply RNA Tissue Kit (Promega, Madison, WI, USA) and the Maxwell 16 Instrument (Promega, Madison, WI, USA), according to the manufacturer’s instructions. .. A DNA microarray platform (Affymetrix) was used for global gene expression analysis. .. Total RNA preparations were checked for RNA integrity by Agilent 2100 Bioanalyzer quality control.

    Fluorescence In Situ Hybridization:

    Article Title: The multiple sclerosis gut microbiota: A systematic review.
    Article Snippet: Background: To systematically review and synthesize the literature on the multiple sclerosis (MS) gut microbiota composition as compared to persons without MS. Methods: We systematically searched MEDLINE, EMBASE, and Web of Science databases for relevant published articles (2008–2018).. Results: Of 415 articles identified ten fulfilled criteria.. All studies used a case-control design, six sourced participants from the US, two Germany, one Italy, and one Japan.



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