Literature DB >> 27323086

Construction of a protein-protein interaction network of Wilms' tumor and pathway prediction of molecular complexes.

W J Teng1, C Zhou2, L J Liu2, X J Cao3, J Zhuang2, G X Liu3, C G Sun2.   

Abstract

Wilms' tumor (WT), or nephroblastoma, is the most common malignant renal cancer that affects the pediatric population. Great progress has been achieved in the treatment of WT, but it cannot be cured at present. Nonetheless, a protein-protein interaction network of WT should provide some new ideas and methods. The purpose of this study was to analyze the protein-protein interaction network of WT. We screened the confirmed disease-related genes using the Online Mendelian Inheritance in Man database, created a protein-protein interaction network based on biological function in the Cytoscape software, and detected molecular complexes and relevant pathways that may be included in the network. The results showed that the protein-protein interaction network of WT contains 654 nodes, 1544 edges, and 5 molecular complexes. Among them, complex 1 is predicted to be related to the Jak-STAT signaling pathway, regulation of hematopoiesis by cytokines, cytokine-cytokine receptor interaction, cytokine and inflammatory responses, and hematopoietic cell lineage pathways. Molecular complex 4 shows a correlation of WT with colorectal cancer and the ErbB signaling pathway. The proposed method can provide the bioinformatic foundation for further elucidation of the mechanisms of WT development.

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Year:  2016        PMID: 27323086     DOI: 10.4238/gmr.15028365

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  2 in total

1.  Two rare cases of abdominal tumor in children: Answers.

Authors:  Haojie Tang; Mengtian Lu; Shan Jiang; Ying Ren
Journal:  Pediatr Nephrol       Date:  2017-11-20       Impact factor: 3.714

Review 2.  Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction.

Authors:  Mst Shamima Khatun; Watshara Shoombuatong; Md Mehedi Hasan; Hiroyuki Kurata
Journal:  Curr Genomics       Date:  2020-09       Impact factor: 2.236

  2 in total

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