Multi-parametric screening in Arabidopsis thaliana seedlings
- Author
- Long Nguyen (UGent) , Andrzej Drozdzecki (UGent) , Vera Goossens (UGent) , Bert De Rybel (UGent) , Tom Beeckman (UGent) and Dominique Audenaert (UGent)
- Organization
- Abstract
- Phenotypic screening and subsequent target identification approaches are very valuable to identify chemical probes that can be used to explore the connection between phenotypes and biological pathways. However, assessing a phenotypic effect in plants in a high-throughput fashion is a challenging task and often requires expensive readout devices. In this chapter, we describe a cost-effective multi-parametric screening procedure that is compatible with liquid-handling systems and that enables the assessment of phenotypes in Arabidopsis thaliana seedlings in an automated way.
- Keywords
- Arabidopsis thaliana, Automation, High-content screening, Multi-parametric analysis
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8577917
- MLA
- Nguyen, Long, et al. “Multi-Parametric Screening in Arabidopsis Thaliana Seedlings.” Plant Chemical Genomics : Methods and Protocols, edited by Friedrich Fauser and Martin Jonikas, vol. 1795, Springer Humana Press, 2018, pp. 1–7.
- APA
- Nguyen, L., Drozdzecki, A., Goossens, V., De Rybel, B., Beeckman, T., & Audenaert, D. (2018). Multi-parametric screening in Arabidopsis thaliana seedlings. In F. Fauser & M. Jonikas (Eds.), Plant chemical genomics : methods and protocols (Vol. 1795, pp. 1–7). New York, NY, USA: Springer Humana Press.
- Chicago author-date
- Nguyen, Long, Andrzej Drozdzecki, Vera Goossens, Bert De Rybel, Tom Beeckman, and Dominique Audenaert. 2018. “Multi-Parametric Screening in Arabidopsis Thaliana Seedlings.” In Plant Chemical Genomics : Methods and Protocols, edited by Friedrich Fauser and Martin Jonikas, 1795:1–7. New York, NY, USA: Springer Humana Press.
- Chicago author-date (all authors)
- Nguyen, Long, Andrzej Drozdzecki, Vera Goossens, Bert De Rybel, Tom Beeckman, and Dominique Audenaert. 2018. “Multi-Parametric Screening in Arabidopsis Thaliana Seedlings.” In Plant Chemical Genomics : Methods and Protocols, ed by. Friedrich Fauser and Martin Jonikas, 1795:1–7. New York, NY, USA: Springer Humana Press.
- Vancouver
- 1.Nguyen L, Drozdzecki A, Goossens V, De Rybel B, Beeckman T, Audenaert D. Multi-parametric screening in Arabidopsis thaliana seedlings. In: Fauser F, Jonikas M, editors. Plant chemical genomics : methods and protocols. New York, NY, USA: Springer Humana Press; 2018. p. 1–7.
- IEEE
- [1]L. Nguyen, A. Drozdzecki, V. Goossens, B. De Rybel, T. Beeckman, and D. Audenaert, “Multi-parametric screening in Arabidopsis thaliana seedlings,” in Plant chemical genomics : methods and protocols, vol. 1795, F. Fauser and M. Jonikas, Eds. New York, NY, USA: Springer Humana Press, 2018, pp. 1–7.
@incollection{8577917,
abstract = {Phenotypic screening and subsequent target identification approaches are very valuable to identify chemical probes that can be used to explore the connection between phenotypes and biological pathways. However, assessing a phenotypic effect in plants in a high-throughput fashion is a challenging task and often requires expensive readout devices. In this chapter, we describe a cost-effective multi-parametric screening procedure that is compatible with liquid-handling systems and that enables the assessment of phenotypes in Arabidopsis thaliana seedlings in an automated way.},
author = {Nguyen, Long and Drozdzecki, Andrzej and Goossens, Vera and De Rybel, Bert and Beeckman, Tom and Audenaert, Dominique},
booktitle = {Plant chemical genomics : methods and protocols},
editor = {Fauser, Friedrich and Jonikas, Martin},
isbn = {9781493978731},
issn = {1064-3745},
keywords = {Arabidopsis thaliana,Automation,High-content screening,Multi-parametric analysis},
language = {eng},
pages = {1--7},
publisher = {Springer Humana Press},
series = {Methods in Molecular Biology},
title = {Multi-parametric screening in Arabidopsis thaliana seedlings},
url = {http://dx.doi.org/10.1007/978-1-4939-7874-8_1},
volume = {1795},
year = {2018},
}
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