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Related Concept Videos

Proteomics01:33

Proteomics

7.6K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Related Experiment Video

Updated: Aug 10, 2025

Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures
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Getting Ready for Large-Scale Proteomics in Crop Plants.

Sarah Brajkovic1, Nils Rugen1,2, Carlos Agius3

  • 1Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), 85354 Freising, Germany.

Nutrients
|February 11, 2023
PubMed
Summary

A new universal protocol simplifies crop proteomic analysis by overcoming challenges posed by secondary metabolites. This method enables deep proteome profiling of plant tissues, advancing sustainable food supply research.

Keywords:
liquid chromatography mass spectrometrynutritional crop proteomicsplant proteomics

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Area of Science:

  • Plant Science
  • Proteomics
  • Biochemistry

Background:

  • Crop genomes are well-decoded, but their proteomes remain largely uncharacterized.
  • Proteomic analysis in crops is challenging due to high concentrations of secondary metabolites.
  • Existing methods require individually optimized protocols for crop protein extraction.

Purpose of the Study:

  • To develop a universal and efficient protocol for crop proteomic analysis.
  • To overcome limitations imposed by secondary metabolites in plant samples.
  • To enable deep and quantitative proteome profiling of crop tissues.

Main Methods:

  • Combined a universal protein extraction protocol with an automated single-pot solid-phase-enhanced sample preparation (SP3) protocol.
  • Utilized a liquid handling robot for automated sample preparation.
  • Implemented automated offline peptide separation and optimized micro-LC-MS/MS conditions.

Main Results:

  • Successfully prepared high-quality samples for proteomic analysis from crop plants.
  • Achieved identification and quantification of approximately 10,000 proteins from plant tissue within 6 hours of instrument time.
  • Demonstrated the protocol's robustness by analyzing tomato fruit proteomes in unprecedented depth.

Conclusions:

  • The presented workflow provides a robust and efficient method for crop proteomic analysis.
  • This approach is suitable for large-scale projects aiming to map crop tissue proteomes.
  • The protocol facilitates deeper understanding of crop biology for sustainable agriculture.