Dataset Information

Shotgun proteomics of Sparus aurata hepatic stress response

ABSTRACT: This study characterizes the liver stress proteome of fish submitted to overcrowding (OC), repeated net-handling (NET) and hypoxia (HYP). Fish trials were conducted in triplicate tanks and two fish per tank were randomly sampled for MS analysis. This work aims to disclose most significant changes in signaling and metabolic pathways involved in the stress response. This data-driven knowledge may ultimately contribute for the improvement of species-specific welfare management protocols, towards a sustainable aquaculture.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Sparus Aurata

TISSUE(S): Liver

SUBMITTER: Ana Paula Farinha

LAB HEAD: Pedro Miguel L. Rodrigues

PROVIDER: PXD036392 | Pride | 2022-12-13

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	10_HYP_10.3.msf.mzid.gz	Mzid
	10_HYP_10.3.msf.mzid_10_HYP_10.3.msf.MGF	Mzid
	10_HYP_10.3.raw	Raw
	10_NET_11.2.msf.mzid.gz	Mzid
	10_NET_11.2.msf.mzid_10_NET_11.2.msf.MGF	Mzid

Items per page:

1 - 5 of 110

Publications

Gilthead Seabream Liver Integrative Proteomics and Metabolomics Analysis Reveals Regulation by Different Prosurvival Pathways in the Metabolic Adaptation to Stress.

Raposo de Magalhães Cláudia C Farinha Ana Paula AP Blackburn Gavin G Whitfield Phillip D PD Carrilho Raquel R Schrama Denise D Cerqueira Marco M Rodrigues Pedro M PM

International journal of molecular sciences 20221206 23

The study of the molecular mechanisms of stress appraisal on farmed fish is paramount to ensuring a sustainable aquaculture. Stress exposure can either culminate in the organism's adaptation or aggravate into a metabolic shutdown, characterized by irreversible cellular damage and deleterious effects on fish performance, welfare, and survival. Multiomics can improve our understanding of the complex stressed phenotype in fish and the molecular mediators that regulate the underlying processes of th ...[more]

PMID: 36499720

Similar Datasets

Project description:Background: Diclofenac is a non-steroidal anti-inflammatory drug frequently found in the aquatic environment. Previous studies have reported histological changes in the liver, kidney and gills of fish at concentrations similar to those measured in treated sewage effluents (~1 µg/L). Analyses or predictions of blood plasma levels in fish allow a direct comparison with human therapeutic plasma levels, and may therefore be used to indicate a risk for pharmacological effects in fish. To relate internal exposure to a pharmacological interaction we therefore investigated global hepatic gene expression together with bioconcentration to blood plasma and liver of rainbow trout (Oncorhynchus mykiss) exposed to waterborne diclofenac. Results: At the highest exposure (81.5µg/L) the fish plasma concentration reached ~88% of the human therapeutic levels (Cmax) after two weeks. Using an oligonucleotide microarray followed by quantitative PCR we found extensive effects on hepatic gene expression at this concentration, and some genes were regulated down to the lowest concentration tested (1.6 µg/L) corresponding to ~1.5% of the human Cmax. Functional analysis of differentially expressed genes revealed effects on biological processes such as inflammation and immune response, in agreement with the expected mode of action of diclofenac. In contrast to some previously reported results, the bioconcentration factor was found to be stable (4.02±0.75 for blood plasma and 2.54±0.36 for liver) regardless of the water concentration. Conclusions: Hepatic gene expression is affected in fish at blood levels similar to and below the human Cmax. This adds confidence to the use of fish blood plasma levels to predict risks for pharmacological responses in fish. The microarray results indicate similarities in the mode of action of diclofenac between humans and fish. The identified set of regulated genes may contain useful exposure biomarkers to be used in complex exposure scenarios. Juvenile rainbow trout was exposed to waterborne diclofenac at a series of different concentrations for 14 days. A flow-through system was used for eight aquaria (two per concentration), each containing 12 trouts. Nominal exposure concentrations: 1µg/L, 10 µg/L, 100 µg/L and control. Total RNA for biotinylated aRNA synthesis was extracted from the liver. Samples of aRNA from two fish from the same aquarium were pooled before the assay. In total, four biochips were analyzed corresponding to 32 microarrays. As we used two aquaria per concentration, these 32 microarrays allowed the analyses of four aRNA pools (eight fish) per aquarium, which is equal to eight pools per concentration of diclofenac.