Acinetobacter
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1172088 | ENA |
REPOSITORIES: ENA
Similar Datasets
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
Project description:Acinetobacter baumannii strain:Bacteria Genome sequencing and assembly
| PRJNA450397 | ENA
Project description:Several bacteria of the genus Acinetobacter Genome sequencing
| PRJNA528365 | ENA
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
| 2533916 | ecrin-mdr-crc
Project description:The bacterial pathogen, Acinetobacter baumannii, is a leading cause of drug-resistant infections. Here, we investigated the potential of developing nanobodies that specifically recognize A. baumannii over other Gram-negative bacteria. Through generation and panning of a synthetic nanobody library, we identified several potential lead candidates. We demonstrate how incorporation of next generation sequencing analysis can aid in selection of lead candidates for further characterization. Using monoclonal phage display, we validated the binding of several lead nanobodies to A. baumannii. Subsequent purification and biochemical characterization revealed one particularly robust nanobody that broadly and specifically bound A. baumannii compared to other common drug resistant pathogens. These findings support the potentially for nanobodies to selectively target A. baumannii and the identification of lead candidates for possible future diagnostic and therapeutic development.
2023-06-21 | GSE202972 | GEO
Project description:YerA41 is a myoviridae bacteriophage that was originally isolated due its ability to infect Yersinia ruckeri bacteria, the causative agent of enteric redmouth disease of salmonid fish. Several attempts to determine its genomic DNA sequence using traditional and next generation sequencing technologies failed, indicating that the phage genome is modified such way that it is an unsuitable template for PCR amplification and sequencing. To determine the YerA41 genome sequence we isolated RNA from phage-infected Y. ruckeri cells at different time points post-infection, and sequenced it. The host-genome specific reads were substracted and de novo assembly was performed on the unaligned reads.
2020-03-04 | GSE146319 | GEO
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