Literature DB >> 30565464

PPIExp: A Web-Based Platform for Integration and Visualization of Protein-Protein Interaction Data and Spatiotemporal Proteomics Data.

Xian Liu1, Cheng Chang1, Mingfei Han1, Ronghua Yin1, Yiqun Zhan1, Changyan Li1, Changhui Ge1, Miao Yu1, Xiaoming Yang1.   

Abstract

Integrating spatiotemporal proteomics data with protein-protein interaction (PPI) data can help researchers make an in-depth exploration of their proteins of interest in a dynamic manner. However, there is still a lack of proper tools for the biologists who usually have few programming skills to construct a PPI network for a protein list, visualize active PPI subnetworks, and then select key nodes for further study. We propose a web-based platform named PPIExp that can automatically construct a PPI network, perform clustering analysis according to protein abundances, and perform functional enrichment analysis. More importantly, it provides multiple effective visualization interfaces, such as the interface to display the PPI network map, the interface to display a dendrogram and heatmap for the clustering result, and the interface to display the expression pattern of a selected protein. To visualize the active PPI subnetworks in specific space or time, it provides buttons to highlight the differentially expressed proteins under each condition on the network map. Additionally, to help researchers determine which proteins are worth further attention, PPIExp provides extensive one-click interactive operations to map node centrality measures to node size on the network and highlight three types of proteins, that is, the proteins in an enriched functional term, the coexpressed proteins selected from the dendgrogram and heatmap, and the proteins input by users. PPIExp is available at http://www.fgvis.com/expressvis/PPIExp .

Keywords:  data integration; data visualization; interactive visualization; protein−protein interaction network; spatiotemporal proteomics data

Mesh:

Year:  2018        PMID: 30565464     DOI: 10.1021/acs.jproteome.8b00713

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

1.  Cuproptosis identifies respiratory subtype of renal cancer that confers favorable prognosis.

Authors:  Kunping Li; Linyi Tan; Yuqing Li; Yinfeng Lyu; Xinyi Zheng; Haowen Jiang; Xiaohua Zhang; Hui Wen; Chenchen Feng
Journal:  Apoptosis       Date:  2022-09-14       Impact factor: 5.561

2.  ExpressVis: a biologist-oriented interactive web server for exploring multi-omics data.

Authors:  Xian Liu; Kaikun Xu; Xin Tao; Ronghua Yin; Guangming Ren; Miao Yu; Changyan Li; Hui Chen; Ke Zhao; Shensi Xiang; Huiying Gao; Xiaochen Bo; Cheng Chang; Xiaoming Yang
Journal:  Nucleic Acids Res       Date:  2022-05-25       Impact factor: 19.160

Review 3.  Interrogating Host Antiviral Environments Driven by Nuclear DNA Sensing: A Multiomic Perspective.

Authors:  Timothy R Howard; Ileana M Cristea
Journal:  Biomolecules       Date:  2020-11-24

Review 4.  Overview of methods for characterization and visualization of a protein-protein interaction network in a multi-omics integration context.

Authors:  Vivian Robin; Antoine Bodein; Marie-Pier Scott-Boyer; Mickaël Leclercq; Olivier Périn; Arnaud Droit
Journal:  Front Mol Biosci       Date:  2022-09-08

5.  Systems Biology Approaches to Understanding the Human Immune System.

Authors:  Bhavjinder K Dhillon; Maren Smith; Arjun Baghela; Amy H Y Lee; Robert E W Hancock
Journal:  Front Immunol       Date:  2020-07-30       Impact factor: 7.561

  5 in total

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