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Acidovorax temperans strain:ATCC 49666

ABSTRACT: Acidovorax temperans strain:ATCC 49666 Genome sequencing and assembly

PROVIDER: PRJNA707322 | ENA |

REPOSITORIES: ENA

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			Action	DRS
		Other
	JAFMZA01.dat.gz	Other
	JAFMZA01.fasta.gz	Fasta.gz
	JAFMZA01.master.dat	Other
	SRR13873757_1.fastq.gz	Fastqsanger.gz

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Acidovorax temperans polarizes T17 cells and skews neutrophil maturation to promote lung adenocarcinoma development

Project description:Dysbiosis, or changes within the microbiome, is a common feature of solid tumors, however whether this dysbiosis directly contributes to tumor development is largely unknown. We previously characterized the human lung cancer microbiome and identified the Gram-negative Acidovorax temperans as enriched in tumors and associated with smoking status and TP53 mutations. To determine if A. temperans exposure could contribute to the development of lung cancer, we investigated its effect in a genetically engineered mouse model of lung adenocarcinoma driven by mutant Kras and Tp53. In comparison to control mice and those instilled with a commensal species Lactobacillus gasseri, we found that repeated A. temperans exposure accelerates tumor development and burden through infiltration of proinflammatory cells in the lungs. Comparing immune cell infiltrates at two timepoints revealed increased proinflammatory cells immediately following A. temperans instillation while later the number of T cells, especially IL-17+ cells, was increased. These data indicate a clear role for microbiota-induced inflammation as a key mechanism in the development of lung cancer, demonstrating that dysbiosis contributes to tumor growth.

2024-04-05 | GSE259408 | GEO

Acidovorax temperans skews neutrophil maturation and polarizes Th17 cells to promote lung adenocarcinoma development

Project description:Dysbiosis, or changes within the microbiome, is a common feature of solid tumors, however whether this dysbiosis directly contributes to tumor development is largely unknown. We previously characterized the lung cancer microbiome and identified the Gram-negative Acidovorax temperans as enriched in tumors and associated with smoking status and TP53 mutations. To determine if A. temperans exposure could contribute to the development of lung cancer, we investigated its effect in an animal model of lung adenocarcinoma driven by mutant Kras and Tp53 alleles. This revealed A. temperans exposure accelerates tumor development and burden through infiltration of proinflammatory cells in the lungs. Neutrophils exposed to A. temperans displayed a mature, pro-tumorigenic phenotype with increased cytokine signaling, with a global shift away from IL-1β signaling. Neutrophil to monocyte and macrophage signaling promoted maturation of the latter cell types which upregulated MHC II to activate CD4+ T cells. Activated T cells were then polarized to an IL-17A+ phenotype detectable in CD4+ and γδ populations. Furthermore, T17 cells shared a common gene expression profile predictive of poor survival in human LUAD cases. These data indicate a clear role for microbiota-induced inflammation as a key mechanism in the development of lung cancer, demonstrating that dysbiosis contributes to tumor growth.

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Comparative transcriptional analysis of Acinetobacter baumannii strain ATCC 17978 and strain 17978hm

Project description:In this study the transcriptomes of Acinetobacter baumannii strains ATCC 17978 and 17978hm were compared. Strain 17978hm is a hns knockout derivative of strain ATCC 17978. Strain 17978hm displays a hyper-motile phenotype on semi-solid Mueller-Hinton (MH) media (0.25% agar). ATCC 17978 and 17978hm from an 37C overnight culture were transferred to the centre of the semi-solid MH plate and incubated at 37C for 8 hours. Only 17978hm cells displayed a motile phenotype and covered the complete surface of the plate. These motile 17978hm cells and the non-motile wild-type ATCC 17978 cells were harvested and RNA was isolated. The comparative transcriptome analysis was performed using the FairPlay labeling kit and a custom made Agilent MicroArray with probes designed to coding regions of the ATCC 17978 genome. The data was analyzed using Agilent GeneSpring GX9 and the significance analysis of microarray MS Excel add-on.

2013-08-05 | GSE40681 | GEO

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