Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Hermann, Bernd Timo; Würtz, Sven; Vanselow, Klaus Heinrich; Schulz, Carsten; Stiller, Kevin Torben (2018): Histological and relative gene expression data obtained from the gills of juvenile turbot (Psetta maxima) after the exposure to varying degrees of severe environmental hypercapnia for 8 weeks. PANGAEA, https://doi.org/10.1594/PANGAEA.893884, Supplement to: Hermann, BT et al. (2019): Divergent gene expression in the gills of juvenile turbot (Psetta maxima) exposed to chronic severe hypercapnia indicates dose-dependent increase in intracellular oxidative stress and hypoxia. Aquatic Toxicology, 206, 72-80, https://doi.org/10.1016/j.aquatox.2018.10.023

Always quote above citation when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
The data sets stem from a study which aimed to investigate the impact of chronic severe hypercapnia on the cellular stress response in the gills of juvenile turbot (Psetta maxima). The experiment was conducted in the so called respirometer, a recirculating aquaculture respirometer system (RARS) which allowed the persistent, stable manipulation of carbon dioxide concentrations. Juvenile turbot (Psetta maxima) where subjected to different levels of environmental hypercapnia (low: ~3000 μatm, medium: ~15000 μatm, high: ~25000 μatm). After eight weeks, fish where sacrificed and gill samples were taken for further histological and transcriptional analysis. For histological investigation of the gills, samples where fixed in 4% phosphate-buffered formalin and examined via a microscope equipped with a digital camera. In order to investigate changes in the transcriptome, a fraction of the gill samples was stored in RNAlater. Relative gene expression analysis was conducted via RT-qPCR, using a Fluidigm chip system. Calibrated normalized relative quantities (CNRQs) where assessed with the QBASE software. This included the evaluation of the most suitable combination of reference genes with the help of the GeNorm algorithm.
Size:
2 datasets

Download Data

Download ZIP file containing all datasets as tab-delimited text (use the following character encoding: )