massarray analysis (INFINIUM Inc)
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INFINIUM Inc
massarray analysis

Massarray Analysis, supplied by INFINIUM Inc, 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/massarray-system/massarray+system/pmc04216836-116-25-44
Average 90 stars, based on 1 article reviews

Massarray Analysis, supplied by INFINIUM Inc, 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/massarray-system/massarray+system/pmc04216836-116-25-44
Average 90 stars, based on 1 article reviews
massarray analysis - by Bioz Stars,
2026-10
90/100 stars
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1) Product Images from "Prognostication of patients with clear cell renal cell carcinomas based on quantification of DNA methylation levels of CpG island methylator phenotype marker genes"
Article Title: Prognostication of patients with clear cell renal cell carcinomas based on quantification of DNA methylation levels of CpG island methylator phenotype marker genes
Journal: BMC Cancer
doi: 10.1186/1471-2407-14-772
Figure Legend Snippet: Average DNA methylation levels at promoter CpG islands in the SLC13A5 (A) and ZNF671 (B) genes in CIMP-negative (n = 88) and CIMP-positive (n = 14) ccRCCs in the learning cohort. DNA methylation levels of each CpG unit were evaluated quantitatively using the MassARRAY system. A . Average DNA methylation levels of all examined 38 CpG units including 68 CpG sites located within 1347 bp 5′ region of the SLC13A5 gene in CIMP-positive ccRCCs (red line) were significantly higher than those in CIMP-negative ccRCCs (blue line). B . Average DNA methylation levels of all examined 21 CpG units including 29 CpG sites located within the 428 bp 5′ region of the ZNF671 gene in CIMP-positive ccRCCs (red line) were significantly higher than those in CIMP-negative ccRCCs (blue line). * P < 0.05 and ** P < 0.01. Exact P values for each CpG unit of the SLC13A5 and ZNF671 genes are summarized in Additional file : Table S5. Error bar: standard error.
Techniques Used: DNA Methylation Assay
Figure Legend Snippet: The criteria for CIMP diagnosis discriminating CIMP-positive from CIMP-negative ccRCCs based on the MassARRAY system. A . Scattergrams of DNA methylation levels of representative CpG units in the learning cohort. Using each CpG unit and its cutoff value (CV) described in Table 1, CIMP-positive ccRCCs were discriminated from CIMP-negative ccRCCs with sufficient sensitivity and specificity. B . Histogram showing the number of CpG units with DNA methylation levels higher than the cutoff values listed in Table 1 in the learning cohort. All 14 ccRCCs (red columns) showing DNA methylation levels higher than the cutoff values at 16 or more CpG units were CIMP-positive ccRCCs, and all 88 ccRCCs (blue columns) showing DNA methylation levels higher than the cutoff values at less than 16 CpG units were CIMP-negative ccRCCs. On the basis of this histogram, we established the following criteria: When the cancerous tissue showed DNA methylation levels higher than the cutoff values at 16 (green bar) or more CpG units, it was judged to be CIMP-positive. The number of CpG units showing higher DNA methylation levels than the cutoff values in CIMP-positive ccRCCs (20.79 ± 0.69) was higher than that of CIMP-negative ccRCCs (2.09 ± 0.32, P = 8.75 × 10 −10 ). C . Histogram showing the number of CpG units with DNA methylation levels higher than the cutoff values listed in Table 1 in the additional 100 ccRCCs comprising the validation cohort. Using the criteria established on the basis of panel B , 5 ccRCCs (black bars) were diagnosed as CIMP-positive ccRCCs, whereas 95 ccRCCs (gray bars) were diagnosed as CIMP-negative ccRCCs. The number of CpG units showing higher DNA methylation levels than the cutoff values in ccRCCs diagnosed as CIMP-positive (18.00 ± 0.84) was higher than that of ccRCCs diagnosed as CIMP-negative (2.73 ± 0.30, P = 1.41 × 10 −4 ).
Techniques Used: Biomarker Discovery, DNA Methylation Assay
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