Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Fabian A, Grimm"'
Autor:
En-Hsuan Lu, Fabian A. Grimm, Ivan Rusyn, Sarah De Saeger, Marthe De Boevre, Weihsueh A. Chiu
Publikováno v:
Environment International, Vol 182, Iss , Pp 108326- (2023)
Deoxynivalenol (DON) is a mycotoxin frequently observed in cereals and cereal-based foods, with reported toxicological effects including reduced body weight, immunotoxicity and reproductive defects. The European Food Safety Authority used traditional
Externí odkaz:
https://doaj.org/article/2ec8623911964082b38ba1083829709e
Autor:
Laura L. Maurer, Melannie S. Alexander, Ammie N. Bachman, Fabian A. Grimm, R. Jeff Lewis, Colin M. North, Nancy C. Wojcik, Katy O. Goyak
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Protecting the health and safety of workers in industrial operations is a top priority. One of the resources used in industry to ensure worker safety is the occupational exposure limit (OEL). OELs are derived from the assessment and interpretation of
Externí odkaz:
https://doaj.org/article/3e463897d7764ab8a7f73219d28f4332
Autor:
Alexandra C. Cordova, William D. Klaren, Lucie C. Ford, Fabian A. Grimm, Erin S. Baker, Yi-Hui Zhou, Fred A. Wright, Ivan Rusyn
Publikováno v:
Toxics, Vol 11, Iss 7, p 586 (2023)
Human cell-based test methods can be used to evaluate potential hazards of mixtures and products of petroleum refining (“unknown or variable composition, complex reaction products, or biological materials” substances, UVCBs). Analyses of bioactiv
Externí odkaz:
https://doaj.org/article/f9599d4b1d4744b2b10ad3a3b4d6c3ac
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-7 (2018)
Abstract Background Drawing integrated conclusions from diverse source data requires synthesis across multiple types of information. The ToxPi (Toxicological Prioritization Index) is an analytical framework that was developed to enable integration of
Externí odkaz:
https://doaj.org/article/a5bfa32da8184cf6bca69fcf03db1cc4
Autor:
Rusyn, Alexandra C. Cordova, William D. Klaren, Lucie C. Ford, Fabian A. Grimm, Erin S. Baker, Yi-Hui Zhou, Fred A. Wright, Ivan
Publikováno v:
Toxics; Volume 11; Issue 7; Pages: 586
Human cell-based test methods can be used to evaluate potential hazards of mixtures and products of petroleum refining (“unknown or variable composition, complex reaction products, or biological materials” substances, UVCBs). Analyses of bioactiv
Publikováno v:
Environ Sci Technol
Traditional experimental testing to identify endocrine disruptors that enhance estrogenic signaling relies on expensive and labor-intensive experiments. We sought to design a knowledge-based deep neural network (k-DNN) approach to reveal and organize
A Pipeline for High-Throughput Concentration Response Modeling of Gene Expression for Toxicogenomics
Publikováno v:
Frontiers in Genetics, Vol 8 (2017)
Cell-based assays are an attractive option to measure gene expression response to exposure, but the cost of whole-transcriptome RNA sequencing has been a barrier to the use of gene expression profiling for in vitro toxicity screening. In addition, st
Externí odkaz:
https://doaj.org/article/8a29ff57bea749f6a6496cc8b24376f2
Publikováno v:
Laboratory investigation; a journal of technical methods and pathology
As defined by the World Health Organization, an endocrine disruptor is an exogenous substance or mixture that alters function(s) of the endocrine system and consequently causes adverse health effects in an intact organism, its progeny, or (sub)popula
Publikováno v:
Toxicol Sci
Human induced pluripotent stem cell (iPSC)-derived cardiomyocytes are an established model for testing potential chemical hazards. Interindividual variability in toxicodynamic sensitivity has also been demonstrated in vitro; however, quantitative cha
Autor:
John S, House, Fabian A, Grimm, William D, Klaren, Abigail, Dalzell, Srikeerthana, Kuchi, Shu-Dong, Zhang, Klaus, Lenz, Peter J, Boogaard, Hans B, Ketelslegers, Timothy W, Gant, Ivan, Rusyn, Fred A, Wright
Publikováno v:
ALTEX.
The application of in vitro biological assays as new approach methodologies (NAMs) to support grouping of UVCB (unknown or variable composition, complex reaction products, and biological materials) substances has recently been demonstrated. In additi