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Grouping of UVCB substances with dose-response transcriptomics data from human cell-based assays.
House, John S; Grimm, Fabian A; Klaren, William D; Dalzell, Abigail; Kuchi, Srikeerthana; Zhang, Shu-Dong; Lenz, Klaus; Boogaard, Peter J; Ketelslegers, Hans B; Gant, Timothy W; Rusyn, Ivan; Wright, Fred A.
Afiliación
  • House JS; Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA.
  • Grimm FA; Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, RTP, NC, USA.
  • Klaren WD; Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
  • Dalzell A; Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
  • Kuchi S; current address: ToxStrategies, Inc., Asheville, NC, USA.
  • Zhang SD; Public Health England, Centre for Radiation, Chemical and Environmental Hazards, Harwell Science Campus, Oxon, UK.
  • Lenz K; Northern Ireland Centre for Stratified Medicine, Ulster University, L/Derry, Northern Ireland, UK.
  • Boogaard PJ; current address: MRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, UK.
  • Ketelslegers HB; Northern Ireland Centre for Stratified Medicine, Ulster University, L/Derry, Northern Ireland, UK.
  • Gant TW; SYNCOM Forschungs und Entwicklungsberatung GmbH, Ganderkesee, Germany.
  • Rusyn I; SHELL International BV, The Hague, The Netherlands.
  • Wright FA; Concawe, Brussels, Belgium.
ALTEX ; 39(3): 388­404, 2022.
Article en En | MEDLINE | ID: mdl-35288757
ABSTRACT
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 addition to cell-based phenotyping as NAMs, in vitro transcriptomic profiling is used to gain deeper mechanistic understanding of biological responses to chemicals and to support grouping and read-across. However, the value of gene expression profiling for characterizing complex substances like UVCBs has not been explored. Using 141 petroleum substance extracts, we performed dose-response transcriptomic profiling in human induced pluripotent stem cell (iPSC)-derived hepatocytes, cardiomyocytes, neurons, and endothelial cells, as well as cell lines MCF7 and A375. The goal was to determine whether transcriptomic data can be used to group these UVCBs and to further characterize the molecular basis for in vitro biological responses. We found distinct transcriptional responses for petroleum substances by manufacturing class. Pathway enrichment informed interpretation of effects of substances and UVCB petroleum-class. Transcriptional activity was strongly correlated with concentration of polycyclic aromatic compounds (PAC), especially in iPSC-derived hepatocytes. Supervised analysis using transcriptomics, alone or in combination with bioactivity data collected on these same substances/cells, suggest that transcriptomics data provide useful mechanistic information, but only modest additional value for grouping. Overall, these results further demonstrate the value of NAMs for grouping of UVCBs, identify informative cell lines, and provide data that could be used for justifying selection of substances for further testing that may be required for registration.
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Texto completo: 1 Bases de datos: MEDLINE Medicinas Complementárias: Homeopatia Asunto principal: Petróleo / Células Madre Pluripotentes Inducidas Tipo de estudio: Prognostic_studies Idioma: En Revista: ALTEX Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Medicinas Complementárias: Homeopatia Asunto principal: Petróleo / Células Madre Pluripotentes Inducidas Tipo de estudio: Prognostic_studies Idioma: En Revista: ALTEX Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos