Related Experiment Video
Updated: Feb 6, 2026

Quantitative Proteomics Using Reductive Dimethylation for Stable Isotope Labeling
Published on: July 1, 2014
Label-free quantitative proteome data associated with MSP1 and flg22 induced signaling in rice leaves
Qingfeng Meng1, Ravi Gupta1, Cheol Woo Min1
1Department of Plant Bioscience, Life and Energy Convergence Research Institute, Pusan National University, Miryang 627-706, South Korea.
Abstract:
The data set reported here is associated with the article "A proteomic insight into the MSP1 and flg22 induced signaling in Oryza sativa leaves". MSP1, a cerato-platanin protein, induces cell death and triggers PAMP (pathogen-associated molecular pattern)-induced immunity PTI in rice [1]. To understand the MSP1 induced PTI signaling in rice, we performed a high-throughput proteome analysis combined with PLS-DA (partial least squares discriminant analysis) and qPCR.
More Related Videos
11:44Metabolic Labeling and Membrane Fractionation for Comparative Proteomic Analysis of Arabidopsis thaliana Suspension Cell Cultures
Published on: September 28, 2013
05:44Real-Time Detection of Reactive Oxygen Species Production in Immune Response in Rice with a Chemiluminescence Assay
Published on: November 25, 2022
Related Concept Videos
Leaving Groups
In general, in a nucleophilic substitution reaction, a nucleophile displaces a functional group, called the leaving group, from the substrate to give a substituted product. A leaving group departs the substrate molecule through heterolytic cleavage, taking the pair of electrons with it to become a relatively stable weak base in the form of an anion or a neutral molecule.
In a...
Proteomics
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...
Bacterial Signaling
What is Cell Signaling?
Basic Plant Anatomy: Roots, Stems, and Leaves
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...