Skip to main content

Multi-Parametric Screening in Arabidopsis thaliana Seedlings

  • Protocol
  • First Online:
  • 1164 Accesses

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1795))

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.

This is a preview of subscription content, log in via an institution.

Buying options

Protocol
USD   49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Springer Nature is developing a new tool to find and evaluate Protocols. Learn more

References

  1. Serrano M, Kombrink E, Meesters C (2015) Considerations for designing chemical screening strategies in plant biology. Front Plant Sci 6:131

    Article  PubMed  PubMed Central  Google Scholar 

  2. Meesters C, Mönig T, Oeljeklaus J, Krahn D, Westfall CS, Hause B, Jez JM, Kaiser M, Kombrink E (2014) A chemical inhibitor of jasmonate signaling targets JAR1 in Arabidopsis thaliana. Nat Chem Biol 10:830–836

    Article  CAS  PubMed  Google Scholar 

  3. Noutoshi Y, Okazaki M, Kida T, Nishina Y, Morishita Y, Ogawa T, Suzuki H, Shibata D, Jikumaru Y, Hanada A, Kamiya Y, Shirasu K (2012) Novel plant immune-priming compounds identified via high-throughput chemical screening target salicylic acid glucosyltransferases in Arabidopsis. Plant Cell 24:3795–3804

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Rasband WS (1997–2016) ImageJ, U. S. National Institutes of Health. Bethesda, MD, USA. https://imagej.nih.gov/ij/

  5. Arganda-Carreras I, Kaynig V, Rueden C et al (2017) Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. Bioinformatics 33(15):2424–2426. https://doi.org/10.1093/bioinformatics/btx180

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dominique Audenaert .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Nguyen, L., Drozdzecki, A., Goossens, V., De Rybel, B., Beeckman, T., Audenaert, D. (2018). Multi-Parametric Screening in Arabidopsis thaliana Seedlings. In: Fauser, F., Jonikas, M. (eds) Plant Chemical Genomics. Methods in Molecular Biology, vol 1795. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7874-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-7874-8_1

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7873-1

  • Online ISBN: 978-1-4939-7874-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics