International Multiconference “Bioinformatics of Genome Regulation and Structure\Systems Biology”

Tag

methylation

2 RESULTS
Genomics,  bioinformatics  and evolution symposiumMethylation and expression profiles in Apoe vicinity point to specific neighboring interaction of Apoe and TOMM40 genes: implication for The Alzheimer disease.

Methylation and expression profiles in Apoe vicinity point to specific neighboring interaction of Apoe and TOMM40 genes: implication for The Alzheimer disease.

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Vladimir Babenko1
1Institute of Cytology and Genetics SB_RAS, bob@bionet.nsc.ru

We assessed the dynamics of 8 genes including TOMM40, Apoe and other adjacent ones for overall chromatin marks landscape, including methylation profiles across ENCODE brain cell lines, and histone and ctcf marks. We revealed the region manifests Hi-C topology dynamics in a cell-specific manner. Additionally, based on methylation and histone marks profiles we underscore competitive manner of genes expression implying disrupted locus wide genes expression balance in Alzheimer patients due to Apoe extended locus methylation profile alteration.

Genomics, transcriptomics, bioinformatics symposiumIntermediate and high-risk prostate cancer methylation analysis

Intermediate and high-risk prostate cancer methylation analysis

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Poster (download)

[pdf-embedder url=”https://bgrssb.icgbio.ru/wp-content/uploads/2020/07/262.pdf”]
Elena Pudova1
1EIMB RAS, pudova_elena@inbox.ru

Prostate cancer is one of the most important socially significant oncological diseases in men. To select an effective approach to therapy, prostate cancer is stratified into appropriate risk groups based on criteria such as TNM status, Gleason score and the level of prostate-specific antigen (PSA). However, to optimize therapy, additional informative markers are necessary, and the aim of this study is to search for these markers at the level of genome methylation. This work included methylation data of prostate cancer from The Cancer Genome Atlas project. The cohort involved patients with high (23 cases) and intermediate (103 cases) risk. As a result, 1,056 differentially methylated CpG sites were found between high and medium risk groups. CpG most interested sites: cg17687367 (chr13: 79936801), cg26874611 (chr5: 168147884), cg06989693 (chr5: 41409252), cg02226810 (chr6: 1605117), cg07736716 (regulation regions: 85): 85 to 91 (85): 85 858: 858: 858: 85: 86: 85: 86: 85: 86: 85: 86: 85: 86: 85: 85.