Exploring the differentially expressed genes in human lymphocytes upon response to ionizing radiation: a network biology approach

• 발행기관: 대한방사선종양학회
• 저자명: Tamizh Selvan Gnana Sekaran Vishakh R. Kedilaya Suchetha N. Kumari Praveenkumar Shetty Pavan Gollapalli
• 간행물 정보: 『대한방사선종양학회지』제39권 제1호, 48~60쪽, 전체 13쪽
• 주제분류: 의약학 > 종양학
• 파일형태: PDF
• 발행일자: 2021.03.31

영문 초록

Purpose: The integration of large-scale gene data and their functional analysis needs the effective application of various computational tools. Here we attempted to unravel the biological processes and cellular pathways in response to ionizing radiation using a systems biology approach. Materials and Methods: Analysis of gene ontology shows that 80, 42, 25, and 35 genes have roles in the biological process, molecular function, the cellular process, and immune system pathways, respectively. Therefore, our study emphasizes gene/protein network analysis on various differentially expressed genes (DEGs) to reveal the interactions between those proteins and their functional contribution upon radiation exposure. Results: A gene/protein interaction network was constructed, which comprises 79 interactors with 718 interactions and TP53, MAPK8, MAPK1, CASP3, MAPK14, ATM, NOTCH1, VEGFA, SIRT1, and PRKDC are the top 10 proteins in the network with high betweenness centrality values. Further, molecular complex detection was used to cluster these associated partners in the network, which produced three effective clusters based on the Molecular Complex Detection (MCODE) score. Interestingly, we found a high functional similarity from the associated genes/proteins in the network with known radiation response genes. Conclusion: This network-based approach on DEGs of human lymphocytes upon response to ionizing radiation provides clues for an opportunity to improve therapeutic efficacy.

목차

Introduction

Materials and Methods

Results

Discussion and Conclusion

키워드

Lymphocytes Radiation TP53 Protein-protein interaction GO enrichment