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Proteomics

Proteomics

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 proteomics...

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Related Experiment Video

Updated: Jun 14, 2026

Assaying Proteasomal Degradation in a Cell-free System in Plants

Assaying Proteasomal Degradation in a Cell-free System in Plants

Published on: March 26, 2014

Analysis of peanut leaf proteome.

Ramesh Katam¹, Sheikh M Basha, Prashanth Suravajhala

¹Plant Biotechnology Lab, Florida A&M University, Tallahassee, Florida 32317, USA. ramesh.katam@gmail.com

Journal of Proteome Research

|March 30, 2010

Summary

This summary is machine-generated.

This study maps peanut leaf proteins to understand gene function and improve crop breeding. The proteome map aids in identifying protein markers for cultivar selection and understanding plant responses to stress.

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Area of Science:

Plant Proteomics
Functional Genomics
Molecular Breeding

Background:

Peanut (Arachis hypogaea) is a vital plant protein source, yet its molecular characterization for breeding is limited.
Existing expressed sequence tag (EST) cDNA data requires complementary protein expression data for comprehensive functional genomics.
Current protein expression data for peanut is insufficient for detailed analysis.

Purpose of the Study:

To conduct a proteome analysis of peanut leaves to identify proteins and elucidate their functions.
To create a reference proteome map for peanut leaves to support functional genomics and crop improvement.
To establish a basis for investigating peanut physiology, stress responses, and cultivar identification.

Main Methods:

Two-dimensional gel electrophoresis (2D-PAGE) was employed for peanut leaf proteome analysis.
Mass spectrometry (MALDI/TOF) coupled with GPS software and the Viridiplantae database (NCBI) was used for protein identification.
Bioinformatic analyses were performed to categorize identified proteins by cellular localization and biological function.

Main Results:

Approximately 300 polypeptides were resolved, with 205 identified proteins including key enzymes like RuBisCO and glutamine synthetase.
133 unique protein identities were determined and categorized into 10 cellular and 8 functional groups.
Proteins involved in carbohydrate metabolism and photosynthesis were predominant, with a reference map generated from a drought-tolerant cultivar (cv. Vemana).

Conclusions:

The generated peanut leaf proteome map provides critical data for functional genomics and understanding plant metabolism.
This resource will facilitate the study of biotic/abiotic stress responses and plant development.
The proteome map can lead to the development of protein markers for early cultivar identification, aiding peanut breeding programs.