RadAtlas 1.0: a knowledgebase focusing on radiation-associated genes.

Journal: International journal of radiation biology
Published Date:

Abstract

Ionizing radiation has very complex biological effects, such as inducing damage to DNA and proteins, ionizing water molecules to produce toxic free radicals, and triggering genetic and somatic effects. Understanding the biomolecular response mechanism of radiation is very important for the prevention and treatment of radiation diseases. However, function information of these radiation-associated genes is hidden in numbers of scientific papers and databases, making it difficult to understand the response mechanism of ionizing radiation. We collected radiation-associated genes by literature and database mining. Literature and database mining was performed on the basis of biomedical literature from PubMed and gene expression datasets from GEO respectively. We built an ionizing radiation related knowledgebase RadAtlas 1.0 (http://biokb.ncpsb.org/radatlas), which contains 598 radiation-associated genes compiled from literature mining, and 611 potential radiation-associated genes collected from gene expression datasets by differential gene expression analysis. We also provide a user-friendly web interface that offers multiple search methods. RadAtlas collected a large amount of information about genes, biological processes, and pathways related to ionizing radiation. It is the first attempt to provide a comprehensive catalog of radiation-associated genes with literature evidence and potential radiation-associated genes with differential expression evidence. We believe that RadAtlas would be a helpful tool to understand the response mechanism to ionizing radiation.

Authors

  • Hao Xu
    Department of Nuclear Medicine, the First Affiliated Hospital, Jinan University, Guangzhou 510632, P.R.China.gdhyx2012@126.com.
  • Yuan Liu
    Department of General Surgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
  • Yang Li
    Occupation of Chinese Center for Disease Control and Prevention, Beijing, China.
  • Lihong Diao
    State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
  • Ziyu Xun
    State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
  • Yuqi Zhang
    State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
  • Zhidong Wang
    Department of Pathology, The Sixth Affiliated People's Hospital of Dalian Medical University, Dalian, Liaoning, China.
  • Dong Li
    Department of Cardiovascular Medicine, Lanzhou University Second Hospital, 730030 Lanzhou, Gansu, China.