Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

The effects of 3OC12-HSL on global gene expression in primary human aortic endothelial cells (HAEC).

ABSTRACT: Analysis of the effect of a bacterial quorum sensing molecule on in-vitro culture of human endothelial cells at gene expression levels. Objective: Chronic infection has long been postulated as a stimulus for atherogenesis. Pseudomonas aeruginosa infection has been associated with increased atherosclerosis in rats, and the bacteria produce a quorum sensing molecule 3-oxo-dodecynoyl-homoserine lactone (3OC12-HSL) that is critical for colonization and virulence. Paraoxonase 2 (PON2) hydrolyzes 3OC12-HSL and also protects against the effects of oxidized phospholipids thought to contribute to atherosclerosis. We now report the response of human aortic endothelial cells (HAEC) to 3OC12-HSL and oxidized 1-palmitoyl-2-arachidonoyl-sn-glycero-3-phosphocholine (Ox-PAPC) in relation to PON2 expression. Methods and Results: Using expression profiling and network modeling, we identified the unfolded protein response (UPR), cell cycle genes, and the MAPK signaling pathway to be heavily involved in the HAEC response to 3OC12-HSL. The network also showed striking similarities to a network created based on HAEC response to Ox-PAPC, a major component of minimally-modified LDL. HAEC in which PON2 was silenced by siRNA showed increased pro-inflammatory and UPR responses when treated with 3OC12-HSL or Ox-PAPC. Conclusion: 3OC12-HSL and Ox-PAPC influence similar inflammatory pathways. Quorum sensing molecules such as 3OC12-HSL contribute to the pro-atherogenic effects of chronic infection and the anti-atherogenic effects of PON2 include destruction of quorum sensing molecules. 4 HAEC lines from different donors were treated with 3-O-C12 HSL or control (medium).

ORGANISM(S): Homo sapiens

SUBMITTER: Juyong Kim

PROVIDER: E-GEOD-26295 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Background and Aims Small intestinal neuroendocrine tumours (SINETs) are the commonest malignancy of the small intestine; however underlying pathogenic mechanisms remain poorly characterised. Whole genome and exome sequencing has demonstrated that SINETs are mutationally quiet with the most frequent known mutation in the cyclin dependent kinase inhibitor 1B gene (CDKN1B) occurring in only ~8% of tumours, suggesting that alternative mechanisms may drive tumourigenesis. The aim of this study is to perform genome-wide molecular profiling of SINETs in order to identify pathogenic drivers based on molecular profiling. This study represents the largest unbiased integrated genomic, epigenomic, and transcriptomic analysis undertaken in this tumour type. Methods Here we present data from integrated molecular analysis of SINETs (n=97) including whole exome or targeted CDKN1B sequencing (n=29), HumanMethylation450 BeadChip (Illumina) array profiling (n=69), methylated DNA immunoprecipitation sequencing (n=16), copy number variance analysis (n=47) and Whole Genome-DASL (Illumina) expression array profiling (n=43). Results Based on molecular profiling SINETs can be classified in to three groups which demonstrate significantly different progression-free survival after resection of primary tumour (not reached at 10 years vs 56 months vs 21 months, p=0.04). Epimutations were found at a recurrence rate of up to 85% and 21 epigenetically dysregulated genes were identified, including CDX1 (86%), CELSR3 (84%), FBP1 (84%) and GIPR (74%). Conclusions This is the first comprehensive integrated molecular analysis of SINETs. We have demonstrated that these tumours are highly epigenetically dysregulated. Furthermore, we have identified novel molecular subtypes with significant impact on progression free survival. Background and Aims Small intestinal neuroendocrine tumours (SINETs) are the commonest malignancy of the small intestine; however underlying pathogenic mechanisms remain poorly characterised. Whole genome and exome sequencing has demonstrated that SINETs are mutationally quiet with the most frequent known mutation in the cyclin dependent kinase inhibitor 1B gene (CDKN1B) occurring in only ~8% of tumours, suggesting that alternative mechanisms may drive tumourigenesis. The aim of this study is to perform genome-wide molecular profiling of SINETs in order to identify pathogenic drivers based on molecular profiling. This study represents the largest unbiased integrated genomic, epigenomic, and transcriptomic analysis undertaken in this tumour type. Methods Here we present data from integrated molecular analysis of SINETs (n=97) including whole exome or targeted CDKN1B sequencing (n=29), HumanMethylation450 BeadChip (Illumina) array profiling (n=69), methylated DNA immunoprecipitation sequencing (n=16), copy number variance analysis (n=47) and Whole Genome-DASL (Illumina) expression array profiling (n=43). Results Based on molecular profiling SINETs can be classified in to three groups which demonstrate significantly different progression-free survival after resection of primary tumour (not reached at 10 years vs 56 months vs 21 months, p=0.04). Epimutations were found at a recurrence rate of up to 85% and 21 epigenetically dysregulated genes were identified, including CDX1 (86%), CELSR3 (84%), FBP1 (84%) and GIPR (74%). Conclusions This is the first comprehensive integrated molecular analysis of SINETs. We have demonstrated that these tumours are highly epigenetically dysregulated. Furthermore, we have identified novel molecular subtypes with significant impact on progression free survival. This study included 97 tumour samples from 85 individuals, this included both primary and metastatic tumour samples. 25 normal small intestinal samples were analysed.

Dataset Information

The effects of 3OC12-HSL on global gene expression in primary human aortic endothelial cells (HAEC).

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets