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Acinetobacter baumannii

ABSTRACT: Molecular epidemiology of multidrug-resistant Acinetobacter baumannii isolates from hospitals in Nepal

PROVIDER: PRJDB18098 | ENA |

REPOSITORIES: ENA

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			Action	DRS
		Other
	DRR553529_1.fastq.gz	Fastqsanger.gz
	DRR553529_2.fastq.gz	Fastqsanger.gz
	DRR553530_1.fastq.gz	Fastqsanger.gz
	DRR553530_2.fastq.gz	Fastqsanger.gz

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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

Acinetobacter baumannii

Project description:Molecular epidemiology of multidrug-resistant Acinetobacter baumannii isolates in a university hospital in Nepal

| PRJDB4014 | ENA

The transcriptomic response of Acinetobacter baumannii to colistin and doripenem alone and in combination in an in vitro pharmacokinetics/pharmacodynamics model

Project description:Objectives: Colistin remains a last-line treatment for multidrug-resistant Acinetobacter baumannii and combined use of colistin and carbapenems has shown synergistic effects against multidrug-resistant strains. In order to understand the bacterial responses to these antibiotics we analysed the transcriptome of A. baumannii following exposure to each.

2014-11-30 | GSE62794 | GEO

Combined analysis of genome-wide DNA methylome and transcriptome reveals the first epigenetic-based antibiotic-resistance mechanism in Acinetobacter baumannii

Project description:Using Nanopore sequencing, our study has revealed a close correlation between genomic methylation levels and antibiotic resistance rates in Acinetobacter Baumannii. Specifically, the combined genome-wide DNA methylome and transcriptome analysis revealed the first epigenetic-based antibiotic-resistance mechanism in A. baumannii. Our findings suggest that the precise location of methylation sites along the chromosome could provide new diagnostic markers and drug targets to improve the management of multidrug-resistant A. baumannii infections.

2023-09-01 | E-MTAB-13272 | biostudies-arrayexpress

Comparative phosphoproteomics reveals the role of AmpC β-lactamase phosphorylation in the clinical imipenem-resistant strain Acinetobacter baumannii SK17 (MaxQuant 1.3 and 1.4)

Project description:Nosocomial outbreaks of infections caused by multidrug-resistant Acinetobacter baumannii have emerged as a serious threat to human health. The phosphoproteomics of pathogenic bacteria have been investigated for their role in virulence regulation networks. In this study, we analyzed the phosphoproteomics of two clinical isolates of A. baumannii: imipenem-sensitive strain SK17-S and -resistant strain SK17-R.

2015-10-27 | PXD002033 | Pride

Transcriptional changes in response to OXA-23 overexpression in Acinetobacter baumannii ATCC 17978

Project description:Purpose: The goal of this study was to elucidate the collateral effects associated with OXA-23 overexpression on the Acinetobacter baumannii global transcriptome. Results: Besides the 99.73-fold increase in blaOXA-23 transcript upon IPTG induction, no other transcripts showed more than a 2-fold change compared to the wildtype control. This suggests that OXA-23 over expression to levels similarly observed in multi drug resistant A. baumannii clinical isolates does not effect the transcriptome.

2021-11-15 | GSE185203 | GEO

Characterizing Acinetobacter baumannii desiccation tolerance.

Project description:Desiccation tolerance has been implicated as an important characteristic that potentiates the spread of the bacterial pathogen Acinetobacter baumannii through hospitals on dry surfaces. Despite the potential importance of this stress response, scarce information is available describing the underlying mechanisms of A. baumannii desiccation tolerance. Here we characterize the factors influencing desiccation survival of A. baumannii. At the macroscale level, we find that desiccation tolerance is influenced by cell density, growth phase, and desiccation medium. Our transcriptome analysis indicates that desiccation represents a unique state for A. baumannii compared to commonly studied growth conditions and strongly influences pathways responsible for proteostasis. Remarkably, we find that an increase in total cellular protein aggregates, which is often considered deleterious, correlates positively with the ability of A. baumannii to survive desiccation. We show that artificially inducing protein aggregate formation increases desiccation survival, and more importantly, that proteins incorporated into cellular aggregates can retain activity. Our results suggest that protein aggregates may promote desiccation tolerance in A. baumannii through preserving and protecting proteins from damage during desiccation until rehydration occurs.

2018-10-27 | GSE111383 | GEO

ppGpp signal plays critical role in pathogenesis of Acinetobacter baumannii 17978

Project description:Acinetobacter baumannii is a major cause of nosocomial infections which can survive in different hospital environments and its multidrug-resistant capacity is major concern now-a-days. ppGpp dependent stringent response mediates reprogramming of gene expression with diverse function in many bacteria. A baumannii A1S_0579 gene is responsible for ppGpp production. Transcriptome analysis of early stationary phase cultures represents several differentially expressed genes in ppGpp deficient strain (∆A1S_0579). We found that the expression of csu operon, which is important in pili biosynthesis for early biofilm formation, was significantly reduced in the ppGpp-deficient strain. Our findings showed that ppGpp signaling plays critical role in biofilm formation, surface motility, adherence and virulence of A baumannii. This study is the first demonstration of the association between ppGpp and pathogenicity of A. baumannii.

2021-05-01 | GSE173627 | GEO

The response to desiccation in Acinetobacter baumannii

Project description:The long-term resistance to desiccation on abiotic surfaces is a key determinant of the adaptive success of Acinetobacter baumannii as a healthcare-associated bacterial pathogen. Here, the cellular and molecular mechanisms enabling A. baumannii to resist desiccation and persist on abiotic surfaces were investigated. Experiments were set up to mimic the A. baumannii response to air-drying that would occur when bacterial cells contaminate fomites in hospitals. Resistance to desiccation and transition to the “viable but nonculturable” (VBNC) state were determined in the laboratory-adapted strain ATCC 19606T and the epidemic strain ACICU. Culturability, membrane integrity, metabolic activity, virulence, and gene expression profile were compared between the two strains at different stages of desiccation. Upon desiccation, ATCC 19606T and ACICU cells lose culturability and membrane integrity, lower their metabolism, and enter the VBNC state. However, desiccated A. baumannii cells fully recover culturability and virulence in an insect infection model following rehydration in physiological buffers or human biological fluids. Transcriptome and chemical analyses of A. baumannii cells during desiccation unveiled the production of protective metabolites (L-cysteine and L-glutamate) and decreased energetic metabolism consequent to activation of the glyoxylate shunt (GS) pathway, as confirmed by reduced resuscitation efficiency of aceA mutants, lacking the key enzyme of the GS pathway. VBNC cell formation and extensive metabolic reprogramming provide a biological basis for the response of A. baumannii to desiccation, with implications on environmental control measures aimed at preventing the transmission of A. baumannii infection in hospitals.

2024-09-23 | GSE249021 | GEO

Deep learning-guided discovery of a narrow-spectrum antibiotic against Acinetobacter baumannii

Project description:Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays multidrug-resistance due to its robust outer membrane and its ability to acquire and retain extracellular DNA. Moreover, it can survive for prolonged durations on surfaces and is resistant to desiccation. Discovering new antibiotics against A. baumannii has proven challenging through conventional screening approaches. Fortunately, machine learning methods allow for the rapid exploration of chemical space, increasing the probability of discovering new chemical matter with antibacterial activity against this burdensome pathogen. Here, we screened ~7,500 molecules for those that inhibited the growth of A. baumannii in vitro. We trained a deep neural network with this growth inhibition dataset and performed predictions on the Drug Repurposing Hub for structurally novel molecules with activity against A. baumannii. Through this approach, we discovered abaucin, an antibacterial compound with narrow-spectrum activity against A. baumannii, which could overcome intrinsic and acquired resistance mechanisms in clinical isolates. Further investigations revealed that abaucin perturbs lipoprotein trafficking through a mechanism involving LolE, a functionally conserved protein that contributes to shuttling lipoproteins from the inner membrane to the outer membrane. Moreover, abaucin was able to control an A. baumannii infection in a murine wound model. Together, this work highlights the utility of machine learning in discovering new antibiotics and describes a promising lead with narrow-spectrum activity against a challenging Gram-negative pathogen.

2023-02-01 | GSE214305 | GEO

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