Abstract
Epigenetic programming plays a vital role in regulating pluripotency genes, which become activated or inactivated during the processes of dedifferentiation and differentiation during an organism’s development. The analysis of epigenetic modifications has become possible through the technique of immunostaining, where specific antibodies allow the identification of a single target protein. This chapter describes a detailed protocol for the analysis of the epigenetic modifications with the use of confocal microscopy, subsequent image, and statistical analysis on the example of Fagopyrum calli with the use of nine antibodies raised against histone H3 and H4 methylation and acetylation on several lysines as well as DNA methylation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Braszewska-Zalewska A, Bernas T, Maluszynska J (2010) Epigenetic chromatin modifications in Brassica genomes. Genome 53:203
Pawley JB (2006) Handbook of biological confocal microscopy, 3rd edn. Springer, New York
Wilson T (2011) Resolution and optical sectioning in the confocal microscope. J Microsc 244:113
Abràmoff MD, Magalhães PJ, Ram SJ (2004) Image processing with imageJ. Biophoton Int 11:36–42
Collins TJ (2007) ImageJ for microscopy. BioTechniques 43:S25
Bourne R (2010) ImageJ. In: Fundamentals of digital imaging in medicine. Springer, London
Bankhead P (2014) Analyzing fluorescence microscopy images with ImageJ. ImageJ
Ferreira T, Rasband W (2012) ImageJ user guide user guide ImageJ. ImageJ User Guide 1:46r
Hartig SM (2013) Basic image analysis and manipulation in ImageJ. In: Current protocols in molecular biology
Schroeder AB, Dobson ETA, Rueden CT, Tomancak P, Jug F, Eliceiri KW (2021) The ImageJ ecosystem: open-source software for image visualization, processing, and analysis. Protein Sci 30:234
Martin G (2021) R Studio. In: An introduction to programming with R
Mendiburu F (2021) Statistical procedures for agricultural research. Wiley, New York
Kassambara A. (2022) Visualization of a correlation matrix using “ggplot2.” Package ‘ggcorrplot’
Del TI, Dickson K, Hakes AS, Newman SL (2022) Early undergraduate biostatistics & data science introduction using R, R Studio & the Tidyverse American Biology Teacher. Am Biol Teach 84:124–129
Acknowledgments
This work was supported by the National Science Centre Poland, project OPUS19 grant number 2020/37/B/NZ9/01499.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Tomasiak, A., Berg, L.S., Sala, K., Braszewska, A. (2024). Quantitative Analysis of Epigenetic Modifications in Fagopyrum Nuclei with Confocal Microscope, ImageJ, and R Studio. In: Betekhtin, A., Pinski, A. (eds) Buckwheat. Methods in Molecular Biology, vol 2791. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3794-4_3
Download citation
DOI: https://doi.org/10.1007/978-1-0716-3794-4_3
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-3793-7
Online ISBN: 978-1-0716-3794-4
eBook Packages: Springer Protocols