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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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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.

2021-01-15 | GSE161833 | GEO

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.

| S-EPMC7916935 | biostudies-literature

RNA-seq of evolved strains from Acinetobacter baumannii NCCP 16007

Project description:Comparison for gene expression of Acinetobacter baumannii NCCP 16007 by evolved strains

2022-11-16 | GSE217840 | GEO

Colistin resistant A. baumannii: genomic and transcriptomic traits acquired under colistin therapy

Project description:Comparative Genomic and Transcriptomic Characterization of Colistin-Resistant Acinetobacter baumannii

2019-01-23 | GSE109951 | GEO

Tn-seq of desiccated Acinetobacter baumannii

Project description:A major reservoir for spread of the emerging pathogen Acinetobacter baumannii is hopsital surfaces, where bacteria persist in a desiccated state. To identify gene products influencing desiccation survival, a transposon sequencing (Tn-seq) screen was performed. Using this approach, we identified genes both positively and negatively impacting the desiccation tolerance of A. baumannii.

2022-03-09 | GSE198004 | GEO

RNA-seq of Acinetobacter baumannii ATCC 17978 Lab-WT: under blue light

Project description:Comparison for gene expression of Acinetobacter baumannii Lab-WT under blue light irradiation

2022-01-31 | GSE195643 | GEO

Transcriptome response of lung in response to A. baumannii infection

Project description:We apply RNAseq of lung tissues to study the innate immune response to pulmonary Acinetobacter baumannii infection.

2020-05-12 | GSE143597 | GEO

Acinetobacter baumannii 17978 growth temperature proteomics analysis

Project description:Proteomic analysis of Acinetobacter baumannii grown at two different incubation temperatures

2017-10-25 | MSV000081647 | MassIVE

Transcription profiling of Acinetobacter baumannii multi-drug resistant strain and a susceptible reference strain - Abefflux

Project description:Transcriptomic comparison of a multidrug resistant Acinetobacter baumannii strain and a susceptible reference strain.

2009-11-20 | E-MEXP-2254 | biostudies-arrayexpress

Comparison of the gene expression profiles of different strains of A. baumannii by microarrays

Project description:In the present work we compare the gene expression profile of A. baumannii and a mutant knock-out strain of A. baumannii lacking a small RNA gene 13573 and the corresponding small RNA 13573 over-producing strain. The main objective is to recognize the main pathways in which the small RNA 13573 is involved. Moreover, the same wild type strain was used to infect mice and was further analyzed after the infection with the aim of finding genes differentially expressed in vivo. Three biological replicates have been performed for each comparison. The RNA collection from Acinetobacter baumannii strain over-expresing the small RNA (sample 13573) was compared with this isolated from A. baumannii harboring the empty vector (PETRA sample) while gene expression in the knock-out strain (KO sample) was compared with the wild type strain Acinetobacter baumannii ATCC 17978 (ATCC sample). The RNA from A.baumannii recovered from the infected animals (INF sample) was compared with the wild type (ATCC).

2016-08-01 | E-GEOD-60348 | biostudies-arrayexpress

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