The expression pattern of genes and protein interactions in specific tissues are important frameworks for studying gene regulation

protein function

and cellular processes.Compared with the research progress of other model organisms in the interactome

the tissue-specific protein interaction research and development in higher plants is very slow

especially in rice.With this motivation

we have proposed a computing framework to predict tissue-specific protein-protein networks for rice.This framework consists of three parts:(a) identification of tissue-specific genes by integrating multiple dataset under a unified criterion; (b) prediction and evaluation of the protein interaction network based on the resource of six model organisms by using the proposed novel Interolog mapping method; (c) tissue-specific subnet construction in each tissue and high reliable interactions filter based on co-expression correlation.To evaluate the effectiveness of our framework

PTSN4R (Predicted Tissue-Specific Networks for Rice) is constructed and analyzed.PTSN4R is the first integrated database for tissue-specific protein interactions of rice

which contains tissue-specific genes and the interaction networks of 23 rice tissues.And

it provides a tissue-specific perspective to conveniently analyze the gene expression and protein interaction.These resources can help researchers understand the intrinsic regulatory mechanisms of rice growth and development and provide clues for rice yield increase.In addition

the proposed framework can extend to other species easily to improve the research of tissue-specific protein interactions.