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Time-resolved transcriptional profiling of epithelial cells infected by intracellular Acinetobacter baumannii

ABSTRACT: Time-resolved transcriptional profiling of epithelial cells infected by intracellular Acinetobacter baumannii

PROVIDER: PRJNA679596 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR13088276_1.fastq.gz	Fastqsanger.gz
	SRR13088276_2.fastq.gz	Fastqsanger.gz
	SRR13088277_1.fastq.gz	Fastqsanger.gz
	SRR13088277_2.fastq.gz	Fastqsanger.gz
	SRR13088278_1.fastq.gz	Fastqsanger.gz

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Time-resolved transcriptional profiling of epithelial cells infected by intracellular Acinetobacter baumannii

Project description:The increasing rate of antibiotic-resistant bacteria has become a serious health threat. Thus, it is important to discover, characterize, and optimize new molecules to overcome infections caused by these bacteria. It is known that Acinetobacter baumannii has a high capacity to avoid antibacterial drugs. Consequently, these bacteria have emerged as one of responsible for hospital and community-acquired infections. However, how this pathogen infects and survives inside the host cell is unknown. Here we analyze the time-resolved transcriptional profile changes on human epithelial HeLa cells after A. baumannii. Our results show how A.baumannii can survive in host cells and starts replication at 4 hours post infection. We sequenced RNA to obtain a set of differentially expressed gen (DEGs) used for a Gene Ontology (GO) and KEGG pathway analysis. The results show us how host bacteria is altering the host cells environment for their own benefit. We also determine chromosomal regions affected by our set of genes. Furthermore, we obtain protein-protein networks that reveal highly interacted proteins. The combination of these results will pave the way to discover new antimicrobial candidates for multidrug-resistant bacteria.

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Time-Resolved Transcriptional Profiling of Epithelial Cells Infected by Intracellular Acinetobacter baumannii.

Project description:The rise in the number of antibiotic-resistant bacteria has become a serious threat to health, making it important to identify, characterize and optimize new molecules to help us to overcome the infections they cause. It is well known that Acinetobacter baumannii has a significant capacity to evade the actions of antibacterial drugs, leading to its emergence as one of the bacteria responsible for hospital and community-acquired infections. Nonetheless, how this pathogen infects and survives inside the host cell is unclear. In this study, we analyze the time-resolved transcriptional profile changes observed in human epithelial HeLa cells after infection by A. baumannii, demonstrating how it survives in host cells and starts to replicate 4 h post infection. These findings were achieved by sequencing RNA to obtain a set of Differentially Expressed Genes (DEGs) to understand how bacteria alter the host cells' environment for their own benefit. We also determine common features observed in this set of genes and identify the protein-protein networks that reveal highly-interacted proteins. The combination of these findings paves the way for the discovery of new antimicrobial candidates for the treatment of multidrug-resistant bacteria.

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