Ontology highlight
ABSTRACT:
PROVIDER: PRJNA649696 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12351300_1.fastq.gz | Fastqsanger.gz | |||
| SRR12351300_2.fastq.gz | Fastqsanger.gz | |||
| SRR12351301_1.fastq.gz | Fastqsanger.gz | |||
| SRR12351301_2.fastq.gz | Fastqsanger.gz | |||
| SRR12351302_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 234 |
Similar Datasets
Project description:Rna-seq of control and 2mM NaBu-treated zebrafish larvae (8 dpf)
2019-05-14 | E-MTAB-5992 | ExpressionAtlas
Project description:Vertebrates are colonized at birth by complex microbial communities (microbiota) that influence diverse aspects of host biology. We have used a functional genomics approach to identify zebrafish genes that are differentially expressed in response to the microbiota. We assessed RNA expression profiles from zebrafish larvae at 6 days post-fertilization (dpf) that were either raised continuously in the absence of any microorganism (germ-free or GF), or raised GF through 3dpf then colonized with a normal zebrafish microbiota (conventionalized or CONVD).
2010-01-01 | GSE16857 | GEO
Project description:Zebrafish is a natural host of various Mycobacterium species and a surrogate model organism for tuberculosis research. Mycobacterium marinum (M. marinum) is evolutionarily most closely related to M. tuberculosis and shares the majority of virulence genes. Although zebrafish is not a natural host of the human pathogen, we have previously demonstrated successful robotic infection of zebrafish embryos with M. tuberculosis and performed drug treatment of the infected larvae. In the present study we examined for how long M. tuberculosis can be propagated in zebrafish larvae and tested a time series of infected larvae to study the transcriptional response via Illumina RNAseq. Granuloma-like structures carrying fluorescently labeled M. tuberculosis could be detected up to 9 days post infection. The continued presence of viable M. tuberculosis in the zebrafish larvae was further confirmed using the molecular bacterial load assay. The infected larvae showed a clear and specific transcriptional immune response with a high similarity to the response of zebrafish larvae infected with the surrogate species M. marinum. We conclude that M. tuberculosis can be propagated in zebrafish larvae for at least one week after infection and provide further evidence that M. marinum is a good surrogate model for M. tuberculosis.
2024-01-08 | GSE252417 | GEO
Project description:Vertebrates are colonized at birth by complex microbial communities (microbiota) that influence diverse aspects of host biology. We have used a functional genomics approach to identify zebrafish genes that are differentially expressed in response to the microbiota. We assessed RNA expression profiles from zebrafish larvae at 6 days post-fertilization (dpf) that were either raised continuously in the absence of any microorganism (germ-free or GF), or raised GF through 3dpf then colonized with a normal zebrafish microbiota (conventionalized or CONVD). Total RNA was purified from pooled intact zebrafish larvae (28-80 larvae/pool, 3 biological replicate pools/condition) using Trizol reagent (Invitrogen) followed by DNase I digestion (DNA-Free, Ambion) according to manufacturers' protocols. Total RNA from each replicate pool (12ug RNA/replicate) was used as template for independent cDNA synthesis and in vitro transcription reactions (BioArray HighYield RNA Transcript Labeling Kit; Enzo Life Sciences) to generate biotinylated cRNA targets. cRNA targets (20ug/replicate) were fragmented using standard methods. Hybridization and scanning were performed using standard Affymetrix protocol. Raw expression values were normalized (Invariant set method) and modeled (PM-MM model), and present/absent calls were generated using dChip software (build date Dec.11, 2005).
2009-12-31 | E-GEOD-16857 | biostudies-arrayexpress
Project description:A challenging task to reveal health and disease-associated microbiome signatures is to disentangle regulatory networks of microbes among themselves and with their host. Using the integrated Drosophila-commensal-pathogen model system, we here reported that Drosophila and commensal bacterium L. plantarum cooperated to compete with the opportunistic pathogen S. marcescens. At first, we found that Drosophila larvae and L. plantarum efficiently antagonized S. marcescens in the coexisting niche by suppressing population size and altering metabolism. Drosophila and L. plantarum synergistically enforced the transcriptional reprogramming of S. marcescens, including lipopolysaccharide synthesis, peptidoglycan synthesis, and cationic antimicrobial peptide (CAMP) resistance. More importantly, bacterial single-cell RNA sequencing reveals that larvae and L. plantarum modulated carbon utilization and resistance heterogeneity of S. marcescens. On the other hand, L. plantarum adjusted the transcriptional reprogramming in adaption to the alliance with larvae for colonization resistance to S. marcescen. Altogether, our findings provide amenable insight into the host–microbe–microbe interplays at both bulk and single-cell resolutions, advancing fundamental concepts of interactome and precise manipulation of bacterial communities.
2024-10-01 | GSE251782 | GEO
Project description:A challenging task to reveal health and disease-associated microbiome signatures is to disentangle regulatory networks of microbes among themselves and with their host. Using the integrated Drosophila-commensal-pathogen model system, we here reported that Drosophila and commensal bacterium L. plantarum cooperated to compete with the opportunistic pathogen S. marcescens. At first, we found that Drosophila larvae and L. plantarum efficiently antagonized S. marcescens in the coexisting niche by suppressing population size and altering metabolism. Drosophila and L. plantarum synergistically enforced the transcriptional reprogramming of S. marcescens, including lipopolysaccharide synthesis, peptidoglycan synthesis, and cationic antimicrobial peptide (CAMP) resistance. More importantly, bacterial single-cell RNA sequencing reveals that larvae and L. plantarum modulated carbon utilization and resistance heterogeneity of S. marcescens. On the other hand, L. plantarum adjusted the transcriptional reprogramming in adaption to the alliance with larvae for colonization resistance to S. marcescen. Altogether, our findings provide amenable insight into the host–microbe–microbe interplays at both bulk and single-cell resolutions, advancing fundamental concepts of interactome and precise manipulation of bacterial communities.
2024-10-01 | GSE251781 | GEO
Project description:RNA-seq of whole tissue of 3 days post fertilization atp6v1e1b-deficient zebrafish larvae and wild-type controls
2023-06-16 | E-MTAB-8824 | ExpressionAtlas
Project description:Proteomic analysis of zebrafish larvae overexpressing human GNPDA2
2025-01-31 | PXD049015 | JPOST Repository
Project description:We wanted to analyze the differences in acetyl-H4 content related to inter-individual behavioral variability. We retrieved three groups of samples: The first one was composed by 4 different clusters of zebrafish composed each one by 5 zebrafish larvae. Within each cluster, the behavioral differences across the larvae were minimal, while between the clusters, there were high differences in the behavior. The second one was composed by 4 different clusters of sodium butyrate (NaBu)-treated zebrafish composed each one by 5 larvae. The selection choice was the same as in the first group, but due to their behavioral effect of NaBu, the differences between the clusters were significantly reduced compared to control. The third one was composed by 3 different clusters of 5 zebrafish each randomly selected from the behavioral space. This group is a control of variability not associated to behavior.
2017-09-01 | E-MTAB-5993 | biostudies-arrayexpress