Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis
Plant protein–protein interaction (PPI) networks provide valuable information for the understanding of plant biological processes. In this study, we summarized and constructed the nuclear-protein interactome of Arabidopsis based on PPIs, and preliminarily analyzed the relationships among the main pa...
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2021
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oai:doaj.org-article:b3dc3e366ed54d229af2cb8b1d656a512021-11-17T14:21:57ZAdvances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis1742-91451742-915310.1080/17429145.2021.1998681https://doaj.org/article/b3dc3e366ed54d229af2cb8b1d656a512021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/17429145.2021.1998681https://doaj.org/toc/1742-9145https://doaj.org/toc/1742-9153Plant protein–protein interaction (PPI) networks provide valuable information for the understanding of plant biological processes. In this study, we summarized and constructed the nuclear-protein interactome of Arabidopsis based on PPIs, and preliminarily analyzed the relationships among the main pathways involving these protein interactions. These proteins are involved mainly in the plant hormone signal transduction and plant-pathogen interaction, and these pathways are linked closely by co-pathway and nodal proteins. The key nodal proteins play important roles in communication among hormonal pathways. Further analysis revealed that all of these key nodal proteins were localized in multiple organelles. High-frequency protein multi-localization analysis suggested that the multi-location proteins may play key roles in organelle communication and plant growth. Thus, the screening and study of multi-location proteins may be an important research direction. Our findings can inform new research based on protein interactions and provide novel directions for plant proteome research.Fangping GongDi CaoChengxin QuDongmei YinQuanzhi ZhaoErhui XiongTaylor & Francis Grouparticlenucleusprotein–protein interactionkegg pathwayplant hormonesmulti-location proteinsmulti-functional proteinPlant cultureSB1-1110Plant ecologyQK900-989ENJournal of Plant Interactions, Vol 16, Iss 1, Pp 481-493 (2021) |
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nucleus protein–protein interaction kegg pathway plant hormones multi-location proteins multi-functional protein Plant culture SB1-1110 Plant ecology QK900-989 |
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nucleus protein–protein interaction kegg pathway plant hormones multi-location proteins multi-functional protein Plant culture SB1-1110 Plant ecology QK900-989 Fangping Gong Di Cao Chengxin Qu Dongmei Yin Quanzhi Zhao Erhui Xiong Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis |
description |
Plant protein–protein interaction (PPI) networks provide valuable information for the understanding of plant biological processes. In this study, we summarized and constructed the nuclear-protein interactome of Arabidopsis based on PPIs, and preliminarily analyzed the relationships among the main pathways involving these protein interactions. These proteins are involved mainly in the plant hormone signal transduction and plant-pathogen interaction, and these pathways are linked closely by co-pathway and nodal proteins. The key nodal proteins play important roles in communication among hormonal pathways. Further analysis revealed that all of these key nodal proteins were localized in multiple organelles. High-frequency protein multi-localization analysis suggested that the multi-location proteins may play key roles in organelle communication and plant growth. Thus, the screening and study of multi-location proteins may be an important research direction. Our findings can inform new research based on protein interactions and provide novel directions for plant proteome research. |
format |
article |
author |
Fangping Gong Di Cao Chengxin Qu Dongmei Yin Quanzhi Zhao Erhui Xiong |
author_facet |
Fangping Gong Di Cao Chengxin Qu Dongmei Yin Quanzhi Zhao Erhui Xiong |
author_sort |
Fangping Gong |
title |
Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis |
title_short |
Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis |
title_full |
Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis |
title_fullStr |
Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis |
title_full_unstemmed |
Advances in the elucidation of nuclear proteins in the model plant Arabidopsis thaliana: based on protein interactions and bioinformatics analysis |
title_sort |
advances in the elucidation of nuclear proteins in the model plant arabidopsis thaliana: based on protein interactions and bioinformatics analysis |
publisher |
Taylor & Francis Group |
publishDate |
2021 |
url |
https://doaj.org/article/b3dc3e366ed54d229af2cb8b1d656a51 |
work_keys_str_mv |
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1718425504484163584 |