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Updated: May 5, 2026

mRNA Interactome Capture from Plant Protoplasts

mRNA Interactome Capture from Plant Protoplasts

Published on: July 28, 2017

A predicted protein interactome for rice.

Chai-Ling Ho¹, Yingzhou Wu, Hong-Bin Shen

¹Department of Plant Biology, Southern Illinois University Carbondale, 1125 Lincoln Ave,, Life Science II, Carbondale, IL 62901-6509, USA. mgeisler@plant.siu.edu.

Rice (New York, N.Y.)

|November 28, 2013

Summary

This summary is machine-generated.

This study predicts rice protein-protein interactions (PPIs) using the interolog method, identifying thousands of interactions to enhance understanding of rice biological networks and protein functions.

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Area of Science:

Plant Biology
Bioinformatics
Systems Biology

Background:

Protein-protein interactions (PPIs) are fundamental to biological processes, forming signaling and regulatory networks.
Predicting PPIs can be achieved by leveraging experimentally determined orthologous interactions from other species.

Purpose of the Study:

To predict the rice interactome using the interolog method.
To computationally identify protein-protein interactions in rice.
To improve functional annotation of rice proteins and networks.

Main Methods:

The interolog method was employed, mapping deduced orthologous genes to experimentally validated protein interactions in reference organisms.
Computational prediction of protein-protein interactions (PPIs) in rice.

Main Results:

37,112 interactions were predicted for 4,567 rice proteins, including 1,671 homo-interactions and 35,441 hetero-interactions.
The predictions successfully matched 168 out of 675 experimentally determined rice interactions.
Predicted interacting proteins exhibited significant co-expression, and topological analysis revealed a distribution of proteins as free ends, pipes, and hubs.

Conclusions:

The predicted rice interactome expands knowledge of existing pathways.
This resource aids in the functional annotation of uncharacterized rice proteins and networks.
The interactome is accessible via provided software tools for further exploration.