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Cell Painting unravels insecticidal modes of action on Spodoptera frugiperda insect cells.
Hecker, Franziska A; Leggio, Bruno; König, Tim; Kim, Vladislav; Osterland, Marc; Gnutt, David; Niehaus, Karsten; Geibel, Sven.
Afiliação
  • Hecker FA; University Bielefeld, Proteome and Metabolome Research, Bielefeld, Germany.
  • Leggio B; R&D Disease Control, Bayer SAS, Crop Science Division, Lyon, France.
  • König T; R&D Image-based Screening Systems, Bayer AG, Pharma Division, Wuppertal, Germany.
  • Kim V; R&D Machine Learning Research, Bayer AG, Pharma Division, Berlin, Germany.
  • Osterland M; R&D Machine Learning Research, Bayer AG, Pharma Division, Berlin, Germany.
  • Gnutt D; R&D Image-based Screening Systems, Bayer AG, Pharma Division, Wuppertal, Germany.
  • Niehaus K; University Bielefeld, Proteome and Metabolome Research, Bielefeld, Germany.
  • Geibel S; R&D Hit Discovery, Bayer AG, Crop Science Division, Monheim, Germany. Electronic address: sven.geibel@bayer.com.
Pestic Biochem Physiol ; 203: 105983, 2024 Aug.
Article em En | MEDLINE | ID: mdl-39084786
ABSTRACT
The "Cell Painting" technology utilizes multiplexed fluorescent staining of various cell organelles, to produce high-content microscopy images of cells for multidimensional phenotype assessment. The phenotypic profiles extracted from those images can be analyzed upon perturbations with biologically active molecules to annotate the mode of action or biological activity by comparison with reference profiles of already known mechanisms of action, ultimately enabling the determination of on-target and off-target effects. This approach is already described in various human cell cultures, the most commonly used being the U2OS cell line, yet allows broad applications in additional areas of chemical-biological research. Here we describe for the first time the application and adaptation of Cell Painting to an insect cell line, the Sf9 cells from Spodoptera frugiperda. By adjusting image acquisition and analysis models, specific phenotypic profiles were obtained in a dose-dependent manner for 20 reference compounds, including representatives for the most relevant insecticidal modes of action categories (nerve & muscle, respiration and growth & development). Through a dimensionality-reduction method, both calculations of phenotypic half maximal inhibition concentration (IC50) values as well as similarity analysis of the obtained profiles by hierarchical clustering were performed. By Cell Painting effects on the phenotype could be obtained at higher sensitivity than in other assay formats, such as cytotoxicity assessments. More importantly, these analyses provide insight into mechanistic determinants of biological activity. Compounds with similar modes of action showed a high degree of proximity in a hierarchical clustering analysis while being distinct from actives with an unrelated mode of action. In essence, we provide strong evidence on the impact of Cell Painting mechanistic understanding of insecticides with regards to determinants of efficacy and safety utilizing an insect cell model system.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Spodoptera / Inseticidas Limite: Animals Idioma: En Revista: Pestic Biochem Physiol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Spodoptera / Inseticidas Limite: Animals Idioma: En Revista: Pestic Biochem Physiol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha