Project description:Blackcurrants (Ribes nigrum L., Grossulariaceae) have a high content of anthocyanin polyphenols and these have been shown to have beneficial effects on health, owing to their antioxidant and anti-carcinogenic properties. This study analyzed the constituents of blackcurrant extract (BCE) and investigated its potential phytoestrogenic effects using a breast cancer cell line (MCF-7) overexpressing the estrogen receptor (ER) α. Microarray and ingenuity pathway analysis showed that BCE activated upstream genes such as ERα and transforming growth factor beta 1, and upregulated the expression of many genes downstream of ERα.
Project description:Blackcurrants (Ribes nigrum L., Grossulariaceae) have a high content of anthocyanin polyphenols and these have been shown to have beneficial effects on health, owing to their antioxidant and anti-carcinogenic properties. This study analyzed the constituents of blackcurrant extract (BCE) and investigated its potential phytoestrogenic effects using a breast cancer cell line (MCF-7) overexpressing the estrogen receptor (ER) α. Microarray and ingenuity pathway analysis showed that BCE activated upstream genes such as ERα and transforming growth factor beta 1, and upregulated the expression of many genes downstream of ERα. MCF-7 cells were seeded in culture dish and maintain to confluent. Then medium replace with phenol-red-serum-free DMEM medium with or without BCE (50μg/ml). After the cells were incubated for 24 h at 37 °C 5% CO2.
Project description:We performed genotyping of Neuroblastoma Primary tumors using Illumina HumanHap 550 - v1,v3,v3duo and 610 Quad genotyping beadchips.
Project description:Our data demonstrate the suitability of target capture technology for purifying very low quantities of Leptospira DNA from biological samples where the human genome is in vast excess. This enables deep sequencing of partial Leptospira genomes directly from clinical samples using next generation technologies and genotyping.
Project description:Low-pass sequencing (sequencing a genome to an average depth less than 1× coverage) combined with genotype imputation has been proposed as an alternative to genotyping arrays for trait mapping and calculation of polygenic scores. To empirically assess the relative performance of these technologies for different applications, we performed low-pass sequencing (targeting coverage levels of 0.5× and 1×) and array genotyping (using the Illumina Global Screening Array (GSA)) on 120 DNA samples derived from African and European-ancestry individuals that are part of the 1000 Genomes Project. We then imputed both the sequencing data and the genotyping array data to the 1000 Genomes Phase 3 haplotype reference panel using a leave- one-out design. We evaluated overall imputation accuracy from these different assays as well as overall power for GWAS from imputed data, and computed polygenic risk scores for coronary artery disease and breast cancer using previously derived weights. We conclude that low-pass sequencing plus imputation, in addition to providing a substantial increase in statistical power for genome wide association studies, provides increased accuracy for polygenic risk prediction at effective coverages of ∼ 0.5× and higher compared to the Illumina GSA.
