Dataset Information

DNA methylation of normal kidney, Wilms tumor and metastatic (lung) samples

ABSTRACT: To identify underlying mechanisms involved with metastasis formation in Wilms tumors (WTs), we performed comprehensive DNA methylation and gene expression analyses of matched normal kidney (NK), WT blastemal component, and metastatic tissues (MT) from patients treated under SIOP 2001 protocol. A linear Bayesian framework model identified 497 differentially methylated positions (DMPs) between groups that discriminated NK from WT, but MT samples were divided in two groups. Accordingly, methylation variance grouped NK and three MT samples tightly together and all WT with four MT samples that showed high variability. WT were hypomethylated compared to NK, and MT had a hypermethylated pattern compared to both groups. The methylation patterns were in agreement with methylases and demethylases expression. Methylation data pointed to the existence of two groups of metastases. While hierarchical clustering analysis based on the expression of all 2569 differentially expressed genes (DEGs) discriminated WT and MT from all NK samples, the hierarchical clustering based on the expression of 44 genes with a differentially methylated region (DMR) located in their promoter region revealed two groups: one containing all NKs and three MTs and one containing all WT and four MTs. Methylation changes might be controlling expression of genes associated with WT progression. The 44 genes are candidates to be further explored as a signature for metastasis formation in WT.

ORGANISM(S): Homo sapiens

PROVIDER: GSE163372 | GEO | 2020/12/17

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Pseudo-nitzschia multistriata is a planktonic diatom species with a diplontic life cycle comprising a short sexual phase during which gametes are produced from the encounter of two diploid cells of opposite mating type (MT). Gene expression studies have highlighted the presence of substantial changes occurring at the onset of sexual reproduction. Collectively, there is clear evidence of a chemical cross talk which mediates the mating step.Herein, we have hypothesized that these major transcriptomic changes are associated to variations in the amount and nature of the metabolites produced by the cells. In order to investigate such chemical diversity in an unbiased manner, we undertook an untargeted metabolomics approach. Liquid chromatography – tandem mass spectrometry was applied to investigate the differences in the metabolic profiles between control cells in the vegetative phase (MT+ and MT-) and mixed strains of opposite MTs (cross) undergoing sexual reproduction. Of the 2408 high-quality features obtained, 70 known metabolites could be identified based on in-house libraries and online databases; molecular networking proved valuable to classify additional 47 non-identified features.The present exploratory study provides an overview of the chemical diversity detectable in P. multistriata, presenting a dynamic picture of the changes occurring during sexual reproduction. In particular, the reduction of phytol detected in the cross can be linked to the general downregulation of photosynthesis during sexual reproduction observed elsewhere. The dysregulation of other metabolites stands as a starting point for the understanding of the mechanisms regulating sexual reproduction: a metabolite that was tentatively identified as 7-dehydrodesmosterol exhibited the highest upregulation in the comparison between the two MTs of opposite sex, as well as between MT+ vs cross.The effects of extraction solvents and harvesting times on the ensemble of endo-metabolites were also analyzed.

Dataset Information

DNA methylation of normal kidney, Wilms tumor and metastatic (lung) samples

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets