Lid
Lab
Laboratory of Biological Networks
  • 01月 16

    2018 | 课题组与北京中医药大学郭淑贞教授合作的过敏基因数据库论文今日被Database期刊接受

    AllerGAtlas 1.0: a human allergy-related genes database

    Jinying Liu1#, Yuan Liu2#, Dan Wang2#, Mengqi He2, Lihong Diao2, Li Tang2, Fuchu He2, Dong Li2* and Shuzhen Guo1*

    1 School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China

    2 State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China

    * Correspondence: Shuzhen Guo, Ph.D., School of Preclinical Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. Tel: +86 10 64286192; Fax: +86 10 64286192; E-mail: ss3008@126.com

    Correspondence may also be addressed to Dong Li, Ph.D., State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Science-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing 102206, China; Tel: +86 10 61777057; Fax: +86 10 61777057; E-mail: lidong.bprc@foxmail.com

    # These authors contributed equally to this work.

     

    Abstract

    Allergy is a detrimental hypersensitive response to innocuous environmental antigen, which is caused by the effect of interaction between environmental factors and multiple genetic predisposition. In the past decades, hundreds of allergy-related genes have been identified to illustrate the epidemiology and pathogenesis of allergic diseases, which are associated with better endophenotype, novel biomarkers, early-life risk factors and individual differences in treatment responses. However, the information of all these allergy-related genes is dispersed in thousands of publications. Here we present a manually curated human allergy-related gene database of AllerGAtlas, which contained 1,195 well-annotated human allergy-related genes, determined by text-mining and manual curation. HisgAtlas will be a valuable bioinformatics resource to search human allergy-related genes and explore their functions in allergy in experimental research.

    Database URL: http://biokb.ncpsb.org/AlleRGatlas/

    Keywords: allergy; gene; database; text-mining; manual curation