کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8645463 | 1569785 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of DNA methylation in the promoter of gene suppressor tumor
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کلمات کلیدی
HMMNBNCpGCGIMGMTACCCDH1CHEK2PALB2BRIP1RAD50BRCA2STK11BARD1RAD51Cp53MCCDNMTsataxia telangiectasia mutated - Ataxia telangiectasia جهش یافته استDNA methyltransferase - DNA متیل ترانسفرازDNA - DNA یا اسید دزوکسی ریبونوکلئیکpositive predictive value - ارزش پیش بینی مثبتdeoxyribonucleic acid - اسید deoxyribonucleiccheckpoint kinase 2 - بازرسی کیناز 2CpG islands - جزایر CpGCpG island - جزیره CpGbase pair - جفت پایهSensitivity - حساسیتATM - خودپردازbreast cancer 2 - سرطان سینه 2breast cancer 1 - سرطان پستان 1serine/threonine kinase 11 - سرین / ترئونین کیناز 11Cytosine-phosphate-Guanine - سیتوزین-فسفات-گوانینCorrelation coefficient - ضریب همبستگیphosphatase and tensin homolog - فسفاتاز و تنسین همولوگtrue positive - مثبت واقعیfalse positive - مثبت کاذبHidden Markov model - مدل پنهان مارکوف false negative - منفی اشتباهtrue negative - منفی واقعیNibrin - نیترینSpecificity - ویژگیtumor protein 53 - پروتئین تومور 53Personalized medicine - پزشکی شخصیBRCA1 - ژن BRCA1Pten - ژن PTENcadherin-1 - کادرسین 1
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The epigenetics methylation of cytosine is the most common epigenetic form in DNA sequences. It is highly concentrated in the promoter regions of the genes, leading to an inactivation of tumor suppressors regardless of their initial function. In this work, we aim to identify the highly methylated regions; the cytosine-phosphate-guanine (CpG) island located on the promoters and/or the first exon gene known for their key roles in the cell cycle, hence the need to study gene-gene interactions. The Frommer and hidden Markov model algorithms are used as computational methods to identify CpG islands with specificity and sensitivity up to 76% and 80%, respectively. The results obtained show, on the one hand, that the genes studied are suspected of developing hypermethylation in the promoter region of the gene involved in the case of a cancer. We then showed that the relative richness in CG results from a high level of methylation. On the other hand, we observe that the gene-gene interaction exhibits co-expression between the chosen genes. This let us to conclude that the hidden Markov model algorithm predicts more specific and valuable information about the hypermethylation in gene as a preventive and diagnostics tools for the personalized medicine; as that the tumor-suppresser-genes have relative co-expression and complementary relations which the hypermethylation affect in the samples studied in our work.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 651, 20 April 2018, Pages 166-173
Journal: Gene - Volume 651, 20 April 2018, Pages 166-173
نویسندگان
Imane Saif, Yassine Kasmi, Karam Allali, Moulay Mustapha Ennaji,