1 Ataxia telangiectasia mutated (ATM) Cell-cycle control

1 Ataxia telangiectasia mutated (ATM) Cell-cycle control

gene 11q23 Retinoic acid receptor, beta (RARB) Cell differentiation and proliferation 3p24.2 Hypermethylated in Cancer 1(HIC1) Putative tumor suppressor gene 17p13.3 Checkpoint with forkhead and ring finger domains (CHFR) Putative tumor suppressor gene 12q24.33 breast cancer 1, early onset (BRCA1) Maintenant of genomic stability 17q21.31 Caspase 8, apoptosis-related cysteine peptidase (CASP8) Apoptosis related gene 2q33.2 Cyclin-dependent kinase inhibitor 1B (CDKN1B) Cell-cycle control gene 12p13.2 Phosphatase and tensin homolog (PTEN) Cell-cycle regulation gene 10q23.3 Breast cancer 2, early onset (BRCA2) Maintenance of https://www.selleckchem.com/products/ars-1620.html genomic stability 13q12.3 CD44 molecule (Indian blood group) (CD44) Cell-cell interaction mediator 11p12 Ras association (RalGDS/AF-6) domain family member 1 (RASSF1) Putative tumor suppressor gene 3p21.3 Death-associated protein kinase1 (DAPK) Apoptosis-related gene 9q34.1 Von Hippel-Lindau tumor suppressor (VHL) Putative tumor suppressor gene 3p25 Estrogen receptor 1 (ESR1) Cell differentiation and proliferation 6q25.1 Tumor protein p73 (TP73) Apoptotic response to DNA damage 1p36.32 Fragile histidine triad gene (FHIT) Putative tumor suppressor gene 3p14.2 Cell adhesion molecule 1 (IGSF4 (CADM1)) Cell adhesion related gene 11q23 Cadherin 13, H-cadherin

(heart) (CDH13) Cell invasion 16q23.3 Glutathione S-transferase pi 1 (GSTP1) DNA damage repair gene 11q13 Amplification products were analyzed by ABI-3130 genetic Analyzer (Applied Biosystem, Lazertinib UK). Universally methylated and unmethylated genomic DNA was used as positive or negative control, respectively. Electropherograms obtained were analyzed using Gene Mapper software (Applied Biosystem, UK) and the peak areas of each probe were exported to a home-made excel spreadsheet. P-type ATPase In accordance

with the manufacturer’s instructions, we carried out “intraGS-9973 supplier sample data normalization” by dividing the signal of each probe by the signal of every reference probe in the sample, thus creating as many ratios per probe as there were reference probes. We then calculated the median value of all probe ratios per probe, obtaining the normalization constant (NC). Finally, the methylation status of each probe was calculated by dividing the NC of a probe in the digested sample by the NC of the same probe in the undigested sample, and by multiplying this ratio by 100 to have a percentage value, as follows: MS-MLPA technique reproducibility was assessed by performing three independent methylation profile analyses on a bladder cell line (HT1376). The methylation level for each gene was found to be the same in each experiment. We considered the promoters showing a ratio ≥0.20 as methylated, while those with a ratio <0.20 were regarded as unmethylated.

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