›› 2018, Vol. 38 ›› Issue (9): 1027-.doi: 10.3969/j.issn.1674-8115.2018.09.005

• Original article (Basic research) • Previous Articles     Next Articles

Construction of a knowledge database of gene fusion and mutation in acute lymphoblastic leukemia

YAN Tian-qi1, CHEN Li-wei2, ZHU Yong-mei2, LI Jian-feng2, DAI Yu-ting2, 3, CUI Shu-Ya2, JIANG Lu2, CHEN Bing2, HUANG Jin-yan2   

  1. 1. Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China; 2. State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; 3. School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
  • Online:2018-09-28 Published:2018-10-15
  • Supported by:
    National Natural Science Foundation of China, 81570122, 81770205; Shanghai Municipal Education Commission—Gaofeng Clinical Medicine Support, 20161303

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Abstract: Objective · To construct a database of fusion and mutation gene annotations for acute lymphoblastic leukemia (ALL) to assist genetic testing. Methods · ALL related gene annotations were collectedmining medical literature. The web server of the database was constructed based on Express framework, a NodeJS web application framework, and MySQL as the server-side development environment. Results · A total of 246 ALL-associated fusion and mutation gene entries were collected through programmed and manual text mining, including biological characteristics, clinical characteristics, clinical directions, target drugs and chemotherapeutic drugs. A web server of the ALL related gene knowledge database was established for convenient data management. Conclusion · In addition to the basic information about ALL related or potentially related genes, the database also involves clinical information which can be a reference tool for precision medicine of ALL.

Key words: acute lymphoblastic leukemia, gene fusion, gene mutation, knowledge database

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