Applications of quantitative proteomics in plant research

Mehdi Mirzaei; Yunqi Wu; David Handler; Tim Maher; Dana Pascovici; Prathiba Ravishankar; Masoud Zabet Moghaddam; Paul A. Haynes; Ghasem Hosseini Salekdeh; Joel M. Chick; Robert D. Willows

doi:10.1007/978-3-319-43275-5_1

Applications of quantitative proteomics in plant research

Mehdi Mirzaei, Yunqi Wu, David Handler, Tim Maher, Dana Pascovici, Prathiba Ravishankar, Masoud Zabet Moghaddam, Paul A. Haynes, Ghasem Hosseini Salekdeh, Joel M. Chick, Robert D. Willows^*

^*Corresponding author for this work

Australian Proteome Analysis Facility (APAF)

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

8 Citations (Scopus)

Abstract

Over the past two decades, we witnessed significant technological advances in Proteomics. Methodology and instrumentation have developed remarkably and proteomics has become a priority field of research in biology. Furthermore, analysis of the entire proteome of many organisms became possible due to complete genome sequencing. The advances in mass spectrometry instrumentation and bioinformatics tools have advanced quantitative proteomics techniques, resulting in important contributions to the biological knowledge of plants. In this chapter, we highlight the recent applications of proteomics in plants, in both model and non-model species. We then discuss the pros and cons of the major quantitative approaches implemented in plant studies. Next, we describe the most studied post-translational modifications (PTMs) in plant research, and lastly, we review the challenges of bioinformatics data analysis in the plant proteomics field.

Original language	English
Title of host publication	Agricultural proteomics volume 1
Subtitle of host publication	Crops, horticulture, farm animals, food, insect and microorganisms
Editors	Ghasem Hosseini Salekdeh
Place of Publication	Switzerland
Publisher	Springer, Springer Nature
Pages	1-29
Number of pages	29
Volume	1
ISBN (Electronic)	9783319432755
ISBN (Print)	9783319432731
DOIs	https://doi.org/10.1007/978-3-319-43275-5_1
Publication status	Published - 1 Jan 2016

Keywords

mass spectrometry
post-translational modification
quantitative proteomics

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10.1007/978-3-319-43275-5_1

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Mirzaei, M., Wu, Y., Handler, D., Maher, T., Pascovici, D., Ravishankar, P., Moghaddam, M. Z., Haynes, P. A., Salekdeh, G. H., Chick, J. M., & Willows, R. D. (2016). Applications of quantitative proteomics in plant research. In G. H. Salekdeh (Ed.), Agricultural proteomics volume 1: Crops, horticulture, farm animals, food, insect and microorganisms (Vol. 1, pp. 1-29). Springer, Springer Nature. https://doi.org/10.1007/978-3-319-43275-5_1

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author = "Mehdi Mirzaei and Yunqi Wu and David Handler and Tim Maher and Dana Pascovici and Prathiba Ravishankar and Moghaddam, {Masoud Zabet} and Haynes, {Paul A.} and Salekdeh, {Ghasem Hosseini} and Chick, {Joel M.} and Willows, {Robert D.}",

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Mirzaei, M , Wu, Y, Handler, D, Maher, T, Pascovici, D, Ravishankar, P, Moghaddam, MZ, Haynes, PA , Salekdeh, GH, Chick, JM & Willows, RD 2016, Applications of quantitative proteomics in plant research. in GH Salekdeh (ed.), Agricultural proteomics volume 1: Crops, horticulture, farm animals, food, insect and microorganisms. vol. 1, Springer, Springer Nature, Switzerland, pp. 1-29. https://doi.org/10.1007/978-3-319-43275-5_1

Applications of quantitative proteomics in plant research. / Mirzaei, Mehdi ; Wu, Yunqi; Handler, David et al.
Agricultural proteomics volume 1: Crops, horticulture, farm animals, food, insect and microorganisms. ed. / Ghasem Hosseini Salekdeh. Vol. 1 Switzerland: Springer, Springer Nature, 2016. p. 1-29.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Mirzaei, Mehdi

AU - Wu, Yunqi

AU - Handler, David

AU - Maher, Tim

AU - Pascovici, Dana

AU - Ravishankar, Prathiba

AU - Moghaddam, Masoud Zabet

AU - Haynes, Paul A.

AU - Salekdeh, Ghasem Hosseini

AU - Chick, Joel M.

AU - Willows, Robert D.

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BT - Agricultural proteomics volume 1

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Applications of quantitative proteomics in plant research

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Keywords

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