Transcriptomics European eel
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB52485 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| ERR9784420_1.fastq.gz | Fastqsanger.gz | |||
| ERR9784420_2.fastq.gz | Fastqsanger.gz | |||
| ERR9784430_1.fastq.gz | Fastqsanger.gz | |||
| ERR9784430_2.fastq.gz | Fastqsanger.gz |
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Project description:The goal of this study was to gain a better understanding of the genetic background of gonadal maturation of the European eel and to use gene expression profiles to identify predictive markers for broodstock selection that can be measured in blood samples. To find leads for maturation markers we performed a pilot deep-sequencing transcriptome analysis of ovarian tissue derived from a yellow eel, a prepubertal silver eel and a post-spawning matured eel. Among the best leads were two key players in steroidogenesis, namely pP450c17 and liver receptor homolog-1.
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Project description:The goal of this study was to gain a better understanding of the genetic background of gonadal maturation of the European eel and to use gene expression profiles to identify predictive markers for broodstock selection that can be measured in blood samples. To find leads for maturation markers we performed a pilot deep-sequencing transcriptome analysis of ovarian tissue derived from a yellow eel, a prepubertal silver eel and a post-spawning matured eel. Among the best leads were two key players in steroidogenesis, namely pP450c17 and liver receptor homolog-1. Pilot deep-sequencing transcriptome analysis of ovary from a yellow, a prepubertal silver and a post-spawning matured eel
2015-06-30 | E-GEOD-70381 | biostudies-arrayexpress
Project description:Vibriosis caused by Vibrio vulnificus on eels represents an important threat for this specie under culture conditions. Development of new transcriptomic tools is essential to increase the knowledge of eel biology, that nowadays is scarcer. Therefore, using previous results obtained by 454 sequencing of the eel immune-enriched transcriptome, an eel-specific custom microarray have been designed. Gills transcriptomic pattern were analyzed as a principal portal of entry for pathogens in fish after 1h of bath infection with Vibrio vulnificus to describe gill immune response. Moreover, two different strains were used, vibro vulnificus wild type (R99) and rtx double mutant (CT285), to asses the virulence of these pathogen caused by MARTX. Adult european eels were bath infected with two Vibrio vulnificus strains, the wild type and double Rtx mutant (CT285). After 0, 3, 12h post-infection eel gills were sampled. Three individuals per experimental point were sampled, including a Control group and a Handling control group. Obtaining a total of 24 samples. The transcriptomic profile was described for each individual sample.
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Project description:The swimbladder of fish is a vital organ that along with gas glands in the swimbladder wall enables key physiological functions including buoyance, diving and coping with different hydrostatic pressures. Specific intramural glands provide gas for regulating gas pressure in the swimming bladder. Transcriptomic analysis have revealed evidence at the RNA level but no specific studies at the protein level have been carried out so far. Herein, it was the aim of the study to show swimbladder proteins of the European eel by label-free LC/MS (Q-Exactive Plus) that resulted in the identification of 6,223 protein groups. Neurotransmitter receptors and -transporters were enriched in the membrane fraction and enzymes for gas production were observed. The list of identified proteins may represent a useful tool for further proteomics experiments on this organ.
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Project description:An European eel-specific microarray platform was developed to identify genes involved in response to pollutants. A comparative analysis of gene expression was conducted between European eel Anguilla anguilla individuals from lowly-polluted Wijmeers pond at Uitbergen (Belgium), highly-polluted Hazewinkel pond at Willebroek (Belgium), extremely-polluted Dessel-Schotel canal at the locations of Schotel (Belgium) and low polluted Bolsena lake (Italy) environments. A comparative analysis of gene expression was conducted between European eel Anguilla anguilla individuals from lowly-polluted Wijmeers pond at Uitbergen (Belgium), highly-polluted Hazewinkel pond at Willebroek (Belgium), extremely-polluted Dessel-Schotel canal at the locations of Schotel (Belgium) and low polluted Bolsena lake (Italy) environments. Gene expression profiling was performed using an European eel-specific oligo-DNA microarray (GPL15124) of 14,913 probes based on single-colour detection (Cyanine-3 only). Microarrays were scanned with Agilent scanner G2565BA (barcode on the left, DNA on the back surface, scanned through the glass) at a resolution of 5 microns; all slides were scanned twice at two different sensitivity settings (XDRHi 100% and XDRLo 10%); the scanner software created a unique ID for each pair of XDR scans and saved it to both scan image files. Feature Extraction (FE) 9.5 used XDR ID to link the pairs of scans together automatically when extracting data. The signal left after all the FE processing steps have been completed is ProcessedSignal that contains the Multiplicatively Detrended, Background-Subtracted Signal.
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Project description:An European eel-specific microarray platform was developed to identify genes involved in response to pollutants A comparative analysis of gene expression was conducted between European eel Anguilla anguilla individuals from high (Tiber river, Italy) and low pollution (Bolsena lake, Italy) environments. Gene expression profiling was performed using an European eel-specific oligo-DNA microarray of 14,913 probes based on single-colour detection (Cyanine-3 only). Microarrays were scanned with Agilent scanner G2565BA (barcode on the left, DNA on the back surface, scanned through the glass) at a resolution of 5 microns; all slides were scanned twice at two different sensitivity settings (XDRHi 100% and XDRLo 10%); the scanner software created a unique ID for each pair of XDR scans and saved it to both scan image files. Feature Extraction (FE) 9.5 used XDR ID to link the pairs of scans together automatically when extracting data. The signal left after all the FE processing steps have been completed is ProcessedSignal that contains the Multiplicatively Detrended, Background-Subtracted Signal.
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