Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Kristin, Schirmer"'
Publikováno v:
Environment International, Vol 186, Iss , Pp 108624- (2024)
Externí odkaz:
https://doaj.org/article/f8559e813fd945ac89464e3d86af70d3
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-20 (2023)
Abstract The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicologi
Externí odkaz:
https://doaj.org/article/94727c1144ae4964a6c9a9436b41f898
Publikováno v:
Environment International, Vol 174, Iss , Pp 107798- (2023)
Permanent rainbow trout (Oncorhynchus mykiss) cell lines represent potential in vitro alternatives to experiments with fish. We here developed a method to assess the bioaccumulation potential of anionic organic compounds in fish, using the rainbow tr
Externí odkaz:
https://doaj.org/article/6a6daaa7637c403dba6ccfedc4a8eae3
Publikováno v:
Cell & Bioscience, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Background The advent of the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 technology marked the beginning of a new era in the field of molecular biology, allowing the efficient and precise creation of targeted muta
Externí odkaz:
https://doaj.org/article/774d9e4ed371454185e4557d19655372
Autor:
Stephanie N. Merbt, Alexandra Kroll, Manu Tamminen, Patrick A. Rühs, Bettina Wagner, Linn Sgier, Olga Sembalova, Bernd Abel, Ahmed Tlili, Kristin Schirmer, Renata Behra
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Periphyton is a freshwater biofilm composed of prokaryotic and eukaryotic communities that occupy rocks and sediments, forming the base of the food web and playing a key role in nutrient cycling. Given the large surface that periphyton comprises, it
Externí odkaz:
https://doaj.org/article/696887e8be9547dab883797cc24b2ab5
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Quantification of chemical toxicity in small-scale bioassays is challenging owing to small volumes used and extensive analytical resource needs. Yet, relying on nominal concentrations for effect determination maybe erroneous because loss pro
Externí odkaz:
https://doaj.org/article/65f7288b839245649cfd6530aa6a9b08
Autor:
Jimeng Wu, Simone D’Ambrosi, Lorenz Ammann, Julita Stadnicka-Michalak, Kristin Schirmer, Marco Baity-Jesi
Publikováno v:
Environment International, Vol 163, Iss , Pp 107184- (2022)
We applied machine learning methods to predict chemical hazards focusing on fish acute toxicity across taxa. We analyzed the relevance of taxonomy and experimental setup, showing that taking them into account can lead to considerable improvements in
Externí odkaz:
https://doaj.org/article/193424dc06f64061a1f62facc1e64a1b
Autor:
Rolando Pasquariello, Nicole Verdile, Radmila Pavlovic, Sara Panseri, Kristin Schirmer, Tiziana A. L. Brevini, Fulvio Gandolfi
Publikováno v:
Cells, Vol 10, Iss 6, p 1555 (2021)
We derived two novel cell lines from rainbow trout (RT) proximal (RTpi-MI) and distal intestine (RTdi-MI) and compared them with the previously established continuous cell line RTgutGC. Intestinal stem cells, differentiating and differentiated epithe
Externí odkaz:
https://doaj.org/article/81433eaefddb4f7bac7c8b481922f0a5
Autor:
Jie Wang, Peng Lei, Amr Ahmed Abdelrahim Gamil, Leidy Lagos, Yang Yue, Kristin Schirmer, Liv Torunn Mydland, Margareth Øverland, Åshild Krogdahl, Trond M. Kortner
Publikováno v:
Frontiers in Immunology, Vol 10 (2019)
The objective of this study was to evaluate the suitability of the rainbow trout intestinal epithelial cell line (RTgutGC) as an in vitro model for studies of gut immune function and effects of functional feed ingredients. Effects of lipopolysacchari
Externí odkaz:
https://doaj.org/article/c9ec81794881404b940b50803e63b771
The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological backg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f345e3eb66aed301dbe4ac76c8f8e4cf
https://doi.org/10.1101/2023.05.27.542160
https://doi.org/10.1101/2023.05.27.542160
