Aberrant downstream mechanisms following loss of KMT2C and KMT2D in Pancreatic Ductal Adenocarcinoma
Transcriptomics Dataset
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General Information
AccessionGSE75327
TitleAberrant downstream mechanisms following loss of KMT2C and KMT2D in Pancreatic Ductal Adenocarcinoma
DescriptionGenes encoding the histone H3 lysine 4 (H3K4) methyltransferases KMT2C and KMT2D are subject to deletion and mutation in pancreatic ductal adenocarcinomas (PDAC). We examined the functional and transcriptional consequences of loss of these methyltransferases in patients with PDAC. Patients with low KMT2C and KMT2D expression demonstrated a much-improved outcome compared with those expressing high levels. RNA-seq analysis of KMT2C or KMT2D loss in three cell lines (PANC1, SUIT2 and COLO357) identified 31 and 124 differentially expressed genes respectively, with 19 genes common to both methlytransferases. Gene set enrichment analysis, and correlation with publicly available patient gene expression (GEP) datasets, highlighted significant reductions in pathways relating to cell-cycle and cell growth, where gene expression correlated with KMT2C/D depletion. Furthermore, loss of Kmt2d in three murine cell lines increased sensitivity to the nucleoside analogue 5-fluorouracil (5FU). These experiments support critical, non-redundant, roles for KMT2D and KMT2C in PDAC, where depletion impacts cell-cycle to reduce cell proliferation, enhance response to specific chemotherapy, which may improve patient survival.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE75327
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE75327
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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