Impact of binary mixtures of Diclofenac and 17α-ethinylestradiol on endocrine processes of the model organism Saccharomyces Cerevisiae (using XenoScreen YES/YAS test) - with controls - Open Research Data - Bridge of Knowledge

Search

Impact of binary mixtures of Diclofenac and 17α-ethinylestradiol on endocrine processes of the model organism Saccharomyces Cerevisiae (using XenoScreen YES/YAS test) - with controls

Description

Data shown in data set illustrate the results of the endocrine processes of mixtures of triclosan and  β-estradiol  with controls for YES agonsit, YES antagonist, YAS agonist and YAS antagonist.  S cerevisiae is used as a model organism in the monitoring of endocrine disruptors in environmental and reference samples in Xenometrix® systems - XenoScreen®.  First substance namely diclofenac is non-steroidal anti-inflammatory drug (NSAID) with strong anti-inflammatory, analgesic and antipyretic effects, in addition, also bactericidal action. and the second substance e.i 17α-ethinylestradiol is a synthetic hormone used in replacement therapy. The XenoScreen YES/YAS reagents and methodology is given in Kudłak et al. (2019) and in details in electronic supplementary material.

Studies were conducted between 2016 and 2017.
These results are part of the manuscript published in Science of the Total Environment

(Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie)10.1016/j.scitotenv.2020.137358)

Illustration of the publication

Dataset file

Results YES YAS Diclofenac and 17α-ethinylestradiol.zip
34.8 kB, S3 ETag 5e7335d1164248f5694c7f974597373d-1, downloads: 0
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file Results YES YAS Diclofenac and 17α-ethinylestradiol.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Raw data:
Data contained in dataset was not processed.

Details

Year of publication:
2025
Verification date:
2025-03-31
Dataset language:
English
DOI:
DOI ID 10.34808/kjhf-q824 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

Keywords

References

Cite as

Authors

seen 0 times