Literature DB >> 17110203

Generation and characterization of a stable MK2-EGFP cell line and subsequent development of a high-content imaging assay on the Cellomics ArrayScan platform to screen for p38 mitogen-activated protein kinase inhibitors.

Rhonda Gates Williams1, Ramani Kandasamy, Debra Nickischer, Oscar J Trask, Carmen Laethem, Patricia A Johnston, Paul A Johnston.   

Abstract

This chapter describes the generation and characterization of a stable MK2-EGFP expressing HeLa cell line and the subsequent development of a high-content imaging assay on the Cellomics ArrayScan platform to screen for p38 MAPK inhibitors. Mitogen-activated protein kinase activating protein kinase-2 (MK2) is a substrate of p38 MAPK kinase, and p38-induced phosphorylation of MK-2 induces a nucleus to cytoplasm translocation (Engel et al., 1998; Neininger et al., 2001; Zu et al., 1995). Through a process of heterologous expression of a MK2-EGFP fusion protein in HeLa cells using retroviral infection, antibiotic selection, and flow sorting, we were able to isolate a cell line in which the MK2-EGFP translocation response could be robustly quantified on the Cellomics ArrayScan platform using the nuclear translocation algorithm. A series of assay development experiments using the A4-MK2-EGFP-HeLa cell line are described to optimize the assay with respect to cell seeding density, length of anisomycin stimulation, dimethyl sulfoxide tolerance, assay signal window, and reproducibility. The resulting MK2-EGFP translocation assay is compatible with high-throughput screening and was shown to be capable of identifying p38 inhibitors. The MK2-EGF translocation response is susceptible to other classes of inhibitors, including nonselective kinase inhibitors, kinase inhibitors that inhibit upstream kinases in the p38 MAPK signaling pathway, and kinases involved in cross talk between different modules (ERKs, JNKs, and p38s) of the MAPK signaling pathways. An example of mining "high-content" image-based multiparameter data to extract additional information on the effects of compound treatment of cells is presented.

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Year:  2006        PMID: 17110203     DOI: 10.1016/S0076-6879(06)14021-5

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  14 in total

1.  Characterization and optimization of a novel protein-protein interaction biosensor high-content screening assay to identify disruptors of the interactions between p53 and hDM2.

Authors:  Drew D Dudgeon; Sunita N Shinde; Tong Ying Shun; John S Lazo; Christopher J Strock; Kenneth A Giuliano; D Lansing Taylor; Patricia A Johnston; Paul A Johnston
Journal:  Assay Drug Dev Technol       Date:  2010-08       Impact factor: 1.738

2.  HCS campaign to identify selective inhibitors of IL-6-induced STAT3 pathway activation in head and neck cancer cell lines.

Authors:  Paul A Johnston; Malabika Sen; Yun Hua; Daniel P Camarco; Tong Ying Shun; John S Lazo; Gabriela Mustata Wilson; Lynn O Resnick; Matthew G LaPorte; Peter Wipf; Donna M Huryn; Jennifer R Grandis
Journal:  Assay Drug Dev Technol       Date:  2015-09       Impact factor: 1.738

3.  High-content pSTAT3/1 imaging assays to screen for selective inhibitors of STAT3 pathway activation in head and neck cancer cell lines.

Authors:  Paul A Johnston; Malabika Sen; Yun Hua; Daniel Camarco; Tong Ying Shun; John S Lazo; Jennifer R Grandis
Journal:  Assay Drug Dev Technol       Date:  2013-10-15       Impact factor: 1.738

4.  Using Caenorhabditis elegans to study serpinopathies.

Authors:  Olivia S Long; Sager J Gosai; Joon Hyeok Kwak; Dale E King; David H Perlmutter; Gary A Silverman; Stephen C Pak
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

5.  Live-cell measurements of kinase activity in single cells using translocation reporters.

Authors:  Takamasa Kudo; Stevan Jeknić; Derek N Macklin; Sajia Akhter; Jacob J Hughey; Sergi Regot; Markus W Covert
Journal:  Nat Protoc       Date:  2017-12-21       Impact factor: 13.491

6.  High-content positional biosensor screening assay for compounds to prevent or disrupt androgen receptor and transcriptional intermediary factor 2 protein-protein interactions.

Authors:  Yun Hua; Tong Ying Shun; Christopher J Strock; Paul A Johnston
Journal:  Assay Drug Dev Technol       Date:  2014-09       Impact factor: 1.738

7.  Finerenone Impedes Aldosterone-dependent Nuclear Import of the Mineralocorticoid Receptor and Prevents Genomic Recruitment of Steroid Receptor Coactivator-1.

Authors:  Larbi Amazit; Florian Le Billan; Peter Kolkhof; Khadija Lamribet; Say Viengchareun; Michel R Fay; Junaid A Khan; Alexander Hillisch; Marc Lombès; Marie-Edith Rafestin-Oblin; Jérôme Fagart
Journal:  J Biol Chem       Date:  2015-07-22       Impact factor: 5.157

8.  Development and validation of a high-content screening assay to identify inhibitors of cytoplasmic dynein-mediated transport of glucocorticoid receptor to the nucleus.

Authors:  Paul A Johnston; Sunita N Shinde; Yun Hua; Tong Ying Shun; John S Lazo; Billy W Day
Journal:  Assay Drug Dev Technol       Date:  2012-07-25       Impact factor: 1.738

9.  Automated high-content live animal drug screening using C. elegans expressing the aggregation prone serpin α1-antitrypsin Z.

Authors:  Sager J Gosai; Joon Hyeok Kwak; Cliff J Luke; Olivia S Long; Dale E King; Kevin J Kovatch; Paul A Johnston; Tong Ying Shun; John S Lazo; David H Perlmutter; Gary A Silverman; Stephen C Pak
Journal:  PLoS One       Date:  2010-11-12       Impact factor: 3.240

10.  An ultra high-throughput, whole-animal screen for small molecule modulators of a specific genetic pathway in Caenorhabditis elegans.

Authors:  Chi K Leung; Ying Wang; Siobhan Malany; Andrew Deonarine; Kevin Nguyen; Stefan Vasile; Keith P Choe
Journal:  PLoS One       Date:  2013-04-29       Impact factor: 3.240

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