Marina Suhorutshenko
No ORCID on file
· 7 papers in corpus
· active 2016
Study types
- dataset 6
- article 1
Condition tags
- endometriosis 7
- mesh:D004715 1
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dataset
2016
Differentially methylated regions between women with endometriosis and healthy women. The methylation data of all patients was compared to controls. Menstrual cycle day has not been taken into account. (XLSX 15 kb)
dataset
2016
Differentially methylated regions between different menstrual cycle phases. The methylation data of each menstrual cycle phase was compared to other phases. (XLSX 2676 kb)
dataset
2016
Functional annotation clustering of hypo- and hypermethylated genes in endometrial tissue using g:profiler bioinformatics tool. The complete lists of DMRs between different menstrual cycle phases was used to create the lists of Gene Ontolog…
dataset
2016
Pathway analysis of hypo- and hypermethylated genes in endometrial tissue using g:profiler bioinformatics tool. The complete lists of DMRs between different menstrual cycle phases was used to create the list of Kyoto Encyclopedia of Genes a…
dataset
2016
Menstrual cycle phase specific genes. The list of late-secretory and menstrual phase specific hyper- and hypomethylated genes. (XLSX 28 kb)
dataset
2016
PCR primers used in the methylation validation analysis. PCR primers for the bisulfite-treated DNA were designed using MethPrimer[42]. (XLSX 9 kb)
article
2016
BACKGROUND: Alterations in endometrial DNA methylation profile have been proposed as one potential mechanism initiating the development of endometriosis. However, the normal endometrial methylome is influenced by the cyclic hormonal changes…