Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome of peptidoglycan-associated lipoprotein mutant and wild-type A. baumannii strains

ABSTRACT: Transcriptome of peptidoglycan-associated lipoprotein mutant and wild-type A. baumannii strains

PROVIDER: PRJNA728071 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14466053_1.fastq.gz	Fastqsanger.gz
	SRR14466053_2.fastq.gz	Fastqsanger.gz
	SRR14466054_1.fastq.gz	Fastqsanger.gz
	SRR14466054_2.fastq.gz	Fastqsanger.gz
	SRR14466055_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Transcriptome of peptidoglycan-associated lipoprotein mutant and wild-type A. baumannii strains

Project description:We apply RNAseq of mutant and wild-type strains to study the role of peptidoglycan-associated lipoprotein in A. baumanni.

2022-05-07 | GSE174057 | GEO

A penicillin-binding protein inhibits selection of colistin-resistant, lipooligosaccharide-deficient Acinetobacter baumannii

Project description:We report the transcriptional expression from wild type, a ponA mutant, and lipooligosaccharide-deficient A. baumannii in order to understand the cellular changes after inactivation of lipid A biosynthesis. Among all strains, genes in the Localization Of Lipoprotein (Lol) transport pathway were upregulated. This study provides a framework to understand how some Acinetobacter baumannii strains can survive without lipid A and lipopolysaccharide/lipooligosaccharide.

2016-09-28 | GSE84282 | GEO

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

Secretome of Acinetobacter baumannii KAB strains

Project description:We analyzed the extracellular proteome of colistin-resistant Korean Acinetobacter baumannii (KAB) strains to identify proteome profiles that can be used to characterize extensively drug-resistant KAB strains.

2020-05-27 | PXD015959 | Pride

Six strains of Acinetobacter Baumannii: RNAseq data analysis

Project description:We performed RNAseq for gene expression analysis for six strains of Acinetobacter Baumannii isolated from blood samples (defined as strains 1, 2, 3, 4 and 6) of patients hospitalized at the University Hospital \\"San Giovanni di Dio e Ruggi d'Aragona\\" (Salerno, Italy)

2023-09-01 | E-MTAB-13274 | 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

Examination of the transcirptional response of Acinetobacter baumannii to antibiotics

Project description:This SuperSeries is composed of the SubSeries listed below. Strains of A. baumannii were exposed to sub-MIC doses of clinically relevant antibiotics to determine the transcriptional response

2014-07-10 | GSE56217 | 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

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

Transcriptional response of Acinetobacter baumannii to hydrogen peroxide and role of mumR and oxyR in regulating this response

Project description:Acinetobacter baumannii is a Gram-negative opportunistic pathogen that causes multiple infections, including pneumonia, bacteremia, and wound infections. Due to multiple intrinsic and acquired drug-resistance mechanisms, A. baumannii isolates are commonly multi-drug resistant and infections are notoriously difficult to treat. Therefore, it is important to identify mechanisms used by A. baumannii to survive stresses encountered during infection as a means of identifying new drug targets. In this study, we determined the transcriptional response of A. baumannii to hydrogen peroxide stress using RNASequencing. Upon exposure to hydrogen peroxide, A. baumannii differentially transcribes several hundred genes. In this study, we also determined the transcriptional profile of A. baumannii strains with the transcriptional regulators mumR or oxyR genetically inactivated and identified transcriptional differences between these strains and wild-type A. baumannii in response to hydrogen peroxide stress. In doing this, the function of A. baumannii OxyR in hydrogen peroxide stress resistance and regulation of genes required for hydrogen peroxide detoxification was defined. Moreover, the contribution of the uncharacterized regulator MumR to hydrogen peroxide stress resistance was also explored. This work reveals the transcriptome of an important human pathogen in the presence of hydrogen peroxide stress.

2018-11-13 | GSE114130 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data