Evidence map›Paper›PMID 35252491›Full record

ArticleData in brief2022

Proteome dataset of sea bass (

Liliana Anjos, Patrícia I S Pinto, Soraia Santos, M Dulce Estêvão, Cátia Santa, Bruno Manadas, Adelino V M Canário, Deborah M Power

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Liliana AnjosCentro de Ciências do Mar (CCMAR), Universidade do Algarve, 8005-139, Faro, Portugal.
Patrícia I S PintoCentro de Ciências do Mar (CCMAR), Universidade do Algarve, 8005-139, Faro, Portugal.
Soraia SantosCentro de Ciências do Mar (CCMAR), Universidade do Algarve, 8005-139, Faro, Portugal.
M Dulce EstêvãoCentro de Ciências do Mar (CCMAR), Universidade do Algarve, 8005-139, Faro, Portugal.
Cátia SantaCNC - Center for Neuroscience and Cell Biology, Universidade de Coimbra, 3004-517, Coimbra, Portugal.
Bruno ManadasCNC - Center for Neuroscience and Cell Biology, Universidade de Coimbra, 3004-517, Coimbra, Portugal.
Adelino V M CanárioCentro de Ciências do Mar (CCMAR), Universidade do Algarve, 8005-139, Faro, Portugal.
Deborah M PowerCentro de Ciências do Mar (CCMAR), Universidade do Algarve, 8005-139, Faro, Portugal.
University of Algarve · PTUniversity of Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contamination of aquatic ecosystems with anthropogenic pollutants, including pharmaceutical drugs, is a major concern worldwide. Aquatic organisms such as fish are particularly at risk of exposure to pollutants. The surface of fish is the first point of contact with pollutants, but few studies have considered the impact of pollutants on the skin-scale barrier. The present proteome data are the basis of the findings discussed in the associated research article "Proteomics of sea bass skin-scales exposed to the emerging pollutant fluoxetine compared to estradiol" [1]. Juvenile sea bass were exposed by intraperitoneal injections to: a) the antidepressant fluoxetine (FLX), a widely prescribed psychotropic drug and an emerging pollutant; b) the natural estrogen 17β-estradiol (E2) and c) the vehicle, coconut oil (control). The scale proteome of fish exposed to these compounds for 5 days was analysed using quantitative label-free proteomics technology SWATH-MS (sequential windowed data-independent acquisition of the total high-resolution-mass spectra). The proteome data generated was submitted to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD020983. LC-MS data from pooled protein extracts from the scales of all experimental groups was acquired using information-dependent acquisition (IDA) and 1,254 proteins were identified by searching against the sea bass genome database. 715 proteins were quantified by SWATH acquisition, and 213 proteins had modified levels (p < 0.05) between the E2- or FLX-exposed fish compared to the control. The main biological processes and KEGG pathways affected by E2 or FLX treatments were identified using Cytoscape/ClueGO enrichment analyses.

Indexed as

AntidepressantEmerging pollutantsEstrogenScalesSWATH-MS quantitative proteomics

Identifiers

PMID35252491
PMCPMC8889360
OpenAlexW4212926310

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.