quantitative pyrosequencing Search Results


quantitative cpg methylation analysis package pyrosequencers (pyro q-cpg  (BIOTAGE)
90
BIOTAGE quantitative cpg methylation analysis package pyrosequencers (pyro q-cpg
Quantitative Cpg Methylation Analysis Package Pyrosequencers (Pyro Q Cpg, supplied by BIOTAGE, 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/quantitative+pyrosequencing/pm17965601-24-13-9?v=BIOTAGE
Average 90 stars, based on 1 article reviews
quantitative cpg methylation analysis package pyrosequencers (pyro q-cpg - by Bioz Stars, 2026-08
90/100 stars
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quantitative methylation assays  (Pyrosequencing Inc)
86
Pyrosequencing Inc quantitative methylation assays
Ki-67 stratified by <t>methylation</t> status of ADIPOQ ( a ), GATA-4 ( b ), and YAP1 ( c ) in the tumor tissue. For the ADIPOQ gene ( a ), the “unmethylated” group was combined with the “partially methylated” group due to the presence of only one sample with an unmethylated status. For the YAP-1 gene ( c ), the “partially methylated” group was combined with the “methylated” group due to the presence of only two samples with methylated status. Data are shown as raw values with medians and IQR. Group differences were analyzed with Student’s t -test ( c ), Mann–Whitney U-test ( a ), and one-way ANOVA ( b ).
Quantitative Methylation Assays, supplied by Pyrosequencing Inc, 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/quantitative+pyrosequencing/pmc12609348-258-8-12?v=Pyrosequencing+Inc
Average 86 stars, based on 1 article reviews
quantitative methylation assays - by Bioz Stars, 2026-08
86/100 stars
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polymerase chain reaction  (Pyrosequencing Inc)
86
Pyrosequencing Inc polymerase chain reaction
Ki-67 stratified by <t>methylation</t> status of ADIPOQ ( a ), GATA-4 ( b ), and YAP1 ( c ) in the tumor tissue. For the ADIPOQ gene ( a ), the “unmethylated” group was combined with the “partially methylated” group due to the presence of only one sample with an unmethylated status. For the YAP-1 gene ( c ), the “partially methylated” group was combined with the “methylated” group due to the presence of only two samples with methylated status. Data are shown as raw values with medians and IQR. Group differences were analyzed with Student’s t -test ( c ), Mann–Whitney U-test ( a ), and one-way ANOVA ( b ).
Polymerase Chain Reaction, supplied by Pyrosequencing Inc, 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/quantitative+pyrosequencing/pm36513222-70-27-31?v=Pyrosequencing+Inc
Average 86 stars, based on 1 article reviews
polymerase chain reaction - by Bioz Stars, 2026-08
86/100 stars
  Buy from Supplier
quantitative pyrosequencing  (Pyrosequencing Inc)
86
Pyrosequencing Inc quantitative pyrosequencing
Ki-67 stratified by <t>methylation</t> status of ADIPOQ ( a ), GATA-4 ( b ), and YAP1 ( c ) in the tumor tissue. For the ADIPOQ gene ( a ), the “unmethylated” group was combined with the “partially methylated” group due to the presence of only one sample with an unmethylated status. For the YAP-1 gene ( c ), the “partially methylated” group was combined with the “methylated” group due to the presence of only two samples with methylated status. Data are shown as raw values with medians and IQR. Group differences were analyzed with Student’s t -test ( c ), Mann–Whitney U-test ( a ), and one-way ANOVA ( b ).
Quantitative Pyrosequencing, supplied by Pyrosequencing Inc, 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/quantitative+pyrosequencing/10__1172_slash_jci66113-124-10-11?v=Pyrosequencing+Inc
Average 86 stars, based on 1 article reviews
quantitative pyrosequencing - by Bioz Stars, 2026-08
86/100 stars
  Buy from Supplier

Image Search Results


Ki-67 stratified by methylation status of ADIPOQ ( a ), GATA-4 ( b ), and YAP1 ( c ) in the tumor tissue. For the ADIPOQ gene ( a ), the “unmethylated” group was combined with the “partially methylated” group due to the presence of only one sample with an unmethylated status. For the YAP-1 gene ( c ), the “partially methylated” group was combined with the “methylated” group due to the presence of only two samples with methylated status. Data are shown as raw values with medians and IQR. Group differences were analyzed with Student’s t -test ( c ), Mann–Whitney U-test ( a ), and one-way ANOVA ( b ).

Journal: International Journal of Molecular Sciences

Article Title: Molecular Implications of ADIPOQ, GAS5, GATA4 , and YAP1 Methylation in Triple-Negative Breast Cancer Prognosis

doi: 10.3390/ijms262110652

Figure Lengend Snippet: Ki-67 stratified by methylation status of ADIPOQ ( a ), GATA-4 ( b ), and YAP1 ( c ) in the tumor tissue. For the ADIPOQ gene ( a ), the “unmethylated” group was combined with the “partially methylated” group due to the presence of only one sample with an unmethylated status. For the YAP-1 gene ( c ), the “partially methylated” group was combined with the “methylated” group due to the presence of only two samples with methylated status. Data are shown as raw values with medians and IQR. Group differences were analyzed with Student’s t -test ( c ), Mann–Whitney U-test ( a ), and one-way ANOVA ( b ).

Article Snippet: Future studies should include larger, prospective cohorts using quantitative methylation assays (e.g., pyrosequencing) and integrate matched gene expression data to link methylation status to biological outcomes functionally.

Techniques: Methylation, MANN-WHITNEY

Age at diagnosis stratified by methylation status of ADIPOQ ( a ), GATA-4 ( b ), and YAP1 ( c ). For the ADIPOQ gene ( a ), the “unmethylated” group was combined with the “partially methylated” group due to the presence of only one sample with an unmethylated status. For the YAP-1 gene ( c ), the “partially methylated” group was combined with the “methylated” group due to the presence of only two samples with methylated status. Data are shown as raw values with medians and IQR. Group differences were analyzed with Student’s t -test ( a , c ) and Kruskal–Wallis test ( b ).

Journal: International Journal of Molecular Sciences

Article Title: Molecular Implications of ADIPOQ, GAS5, GATA4 , and YAP1 Methylation in Triple-Negative Breast Cancer Prognosis

doi: 10.3390/ijms262110652

Figure Lengend Snippet: Age at diagnosis stratified by methylation status of ADIPOQ ( a ), GATA-4 ( b ), and YAP1 ( c ). For the ADIPOQ gene ( a ), the “unmethylated” group was combined with the “partially methylated” group due to the presence of only one sample with an unmethylated status. For the YAP-1 gene ( c ), the “partially methylated” group was combined with the “methylated” group due to the presence of only two samples with methylated status. Data are shown as raw values with medians and IQR. Group differences were analyzed with Student’s t -test ( a , c ) and Kruskal–Wallis test ( b ).

Article Snippet: Future studies should include larger, prospective cohorts using quantitative methylation assays (e.g., pyrosequencing) and integrate matched gene expression data to link methylation status to biological outcomes functionally.

Techniques: Biomarker Discovery, Methylation

ADIPOQ methylation as having the most significant associations, being associated with all five survival endpoints in TCGA TNBC cohort, including ( a ) DSS ( p = 0.023), ( b ) DFI ( p = 0.013), ( c ) PFI ( p = 0.037), ( d ) RFS ( p = 0.011) and ( e ) OS ( p = 0.028).

Journal: International Journal of Molecular Sciences

Article Title: Molecular Implications of ADIPOQ, GAS5, GATA4 , and YAP1 Methylation in Triple-Negative Breast Cancer Prognosis

doi: 10.3390/ijms262110652

Figure Lengend Snippet: ADIPOQ methylation as having the most significant associations, being associated with all five survival endpoints in TCGA TNBC cohort, including ( a ) DSS ( p = 0.023), ( b ) DFI ( p = 0.013), ( c ) PFI ( p = 0.037), ( d ) RFS ( p = 0.011) and ( e ) OS ( p = 0.028).

Article Snippet: Future studies should include larger, prospective cohorts using quantitative methylation assays (e.g., pyrosequencing) and integrate matched gene expression data to link methylation status to biological outcomes functionally.

Techniques: Methylation