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ABSTRACT:
PROVIDER: PRJEB56580 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE26981: Responses to ectoparasite salmon louse (Lepeophtheirus salmonis) in skin of Atlantic salmon GSE26984: Responses to ectoparasite salmon louse (Lepeophtheirus salmonis) in spleen of Atlantic salmon Refer to individual Series
2011-02-03 | E-GEOD-27013 | biostudies-arrayexpress
Project description:Marine farmed Atlantic salmon (Salmo salar) are repeatedly susceptible to amoebic gill disease (AGD) caused by the ectoparasite Neoparamoeba perurans over their life cycle. The parasite elicits a highly localized response within the gill epithelium mucosa resulting in multifocal mucoid patches at the site of parasite attachment. This host-pathogen response drives a complex immune reaction within the pathology of the disease, which remains poorly understood. A dual RNA-seq approach was employed using Illumina sequencing technology to investigate both the linteraction between the host and the parasite.
2021-04-30 | GSE166760 | GEO
Project description:Pathogen genomic surveillance as a scalable framework for precision phage therapy
| PRJEB64245 | ENA
Project description:Hospital-wide pathogen transmission surveillance combining epidemiological, genetic, and spectroscopic approaches
| PRJEB62643 | ENA
Project description:Genomic epidemiology, virulence and antimicrobial resistance of the multi-host pathogen Streptococcus canis
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Project description: Not available
| S-EPMC10770246 | biostudies-literature
Project description:metagenomic next-generation sequencing of plasma improves the clinical coincidence rate of pathogen diagnosis in patients with suspected sepsis
| PRJEB53323 | ENA
Project description:Bacteria-host interactions are dynamic processes, and understanding transcriptional responses that directly or indirectly regulate the expression of genes involved in initial infection stages would illuminate the molecular events that result in host colonization. We used oligonucleotide microarrays to monitor (in vitro) differential gene expression in group A streptococci during pharyngeal cell adherence, the first overt infection stage. We present neighbor clustering, a new computational method for further analyzing bacterial microarray data that combines two informative characteristics of bacterial genes that share common function or regulation: (1) similar gene expression profiles (i.e., co-expression); and (2) physical proximity of genes on the chromosome. This method identifies statistically significant clusters of co-expressed gene neighbors that potentially share common function or regulation by coupling statistically analyzed gene expression profiles with the chromosomal position of genes. We applied this method to our own data and to those of others, and we show that it identified a greater number of differentially expressed genes, facilitating the reconstruction of more multimeric proteins and complete metabolic pathways than would have been possible without its application. We assessed the biological significance of two identified genes by assaying deletion mutants for adherence in vitro and show that neighbor clustering indeed provides biologically relevant data. Neighbor clustering provides a more comprehensive view of the molecular responses of streptococci during pharyngeal cell adherence.
| S-EPMC1913099 | biostudies-literature
Project description:BackgroundThe discovery of genetic mutations in children with inherited syndromes of intrahepatic cholestasis allows for diagnostic specificity despite similar clinical phenotypes. Here, we aimed to determine whether mutation screening of target genes could assign a molecular diagnosis in children with idiopathic cholestasis.Patients and methodsDNA samples were obtained from 51 subjects with cholestasis of undefined etiology and surveyed for mutations in the genes SERPINA1, JAG1, ATP8B1, ABCB11, and ABCB4 by a high-throughput gene chip. Then, the sequence readouts for all 5 genes were analyzed for mutations and correlated with clinical phenotypes. Healthy subjects served as controls.ResultsSequence analysis of the genes identified 14 (or 27%) subjects with missense, nonsense, deletion, and splice site variants associated with disease phenotypes based on the type of mutation and/or biallelic involvement in the JAG1, ATP8B1, ABCB11, or ABCB4 genes. These patients had no syndromic features and could not be differentiated by biochemical markers or histopathology. Among the remaining subjects, 10 (or ∼20%) had sequence variants in ATP8B1 or ABCB11 that involved only 1 allele, 8 had variants not likely to be associated with disease phenotypes, and 19 had no variants that changed amino acid composition.ConclusionsGene sequence analysis assigned a molecular diagnosis in 27% of subjects with idiopathic cholestasis based on the presence of variants likely to cause disease phenotypes.
| S-EPMC4090691 | biostudies-literature