Transcriptomics

Dataset Information

0

Multi-omics analysis of myelodysplastic syndromes resistance to epigenetics threrary reveals PI3K/Akt activation mediated by epigenetic silencing of PTEN and epi-transcriptional silencing of MDM2 [transcriptome]


ABSTRACT: Myelodysplastic syndrome (MDS) is a clonal myeloid neoplasm characterized by ineffective haematopoiesis and cytopenia with frequent epigenetic modifications. Hypomethylating agents (HMA) such as azacitidine (AZA) and decitabine (DEC) are standard therapeutic options in MDS, but drug resistance is not uncommon. Herein, multi-omic analysis is used to identify signaling pathways during MDS HMA resistance using MDS cell line P39 and validated in P39 and Kasumi-1. The Illumina Infinium Methylation EPIC BeadChip (850k) was used for comparison of P39-AZA-S and P39-DEC-S (control group) and P39-AZA-R and P39-DEC-R (resistant group). Sampple was prepared following the manufacturer protocol and final chip imaging was performed on Illumina iScan System (Illumina). Bioinformatic analysis of Methylation EPIC data utilized the Illumina GenomeStudio Methylation module V2011. Only CpG sites passed quality controls were filtered and normalized for differential methylation calculation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE165187 | GEO | 2022/06/01

REPOSITORIES: GEO

Similar Datasets

2022-06-01 | GSE165185 | GEO
2022-06-01 | GSE165064 | GEO
2021-01-27 | GSE152710 | GEO
2021-12-31 | E-MTAB-11279 | biostudies-arrayexpress
2024-01-12 | GSE250077 | GEO
2023-05-31 | GSE233764 | GEO
2021-09-22 | PXD021738 | Pride
2021-04-14 | GSE152258 | GEO
2024-04-17 | PXD046853 | Pride
2014-03-01 | GSE54399 | GEO