Tomomi Ichimiya1, Shoko Nishihara, Sayaka Takase-Yoden, Hiroshi Kida, Kiyoko Aoki-Kinoshita. 1. Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo, 192-8577, Laboratory of Microbiology, Department of Disease Control, Graduate School of Veterinary Medicine, Hokkaido University, Kita 18, Nishi 9, Kita-ku, Sapporo, Hokkaido 060-0818 and Research Center for Zoonosis Control, Hokkaido University, Kita 20, Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0020, Japan.
Abstract
MOTIVATION: It is well known influenza viruses recognize and bind terminal sialic acid (SA) on glycans that are found on the cell surface. In this work, we used a data mining technique to analyze the glycan array data of influenza viruses to find novel glycan structures other than SA that may be involved in viral infection. RESULTS: In addition to SA structures noted previously, we noted the sulfated structures in the mining results. For verification, we overexpressed the sulfotransferase that is involved in synthesizing these structures, and we performed a viral infection experiment to assess changes in infection in these cells. In our results, we found that there is a 70-fold increase in these cells compared with the control. Thus, we have found a novel pattern in glycan structures that may be involved in viral infection. AVAILABILITY AND IMPLEMENTATION: The Glycan Miner Tool is available from the RINGS resource at http://www.rings.t.soka.ac.jp.
MOTIVATION: It is well known influenza viruses recognize and bind terminal sialic acid (SA) on glycans that are found on the cell surface. In this work, we used a data mining technique to analyze the glycan array data of influenza viruses to find novel glycan structures other than SA that may be involved in viral infection. RESULTS: In addition to SA structures noted previously, we noted the sulfated structures in the mining results. For verification, we overexpressed the sulfotransferase that is involved in synthesizing these structures, and we performed a viral infection experiment to assess changes in infection in these cells. In our results, we found that there is a 70-fold increase in these cells compared with the control. Thus, we have found a novel pattern in glycan structures that may be involved in viral infection. AVAILABILITY AND IMPLEMENTATION: The Glycan Miner Tool is available from the RINGS resource at http://www.rings.t.soka.ac.jp.
Authors: Yan Liu; Ryan McBride; Mark Stoll; Angelina S Palma; Lisete Silva; Sanjay Agravat; Kiyoko F Aoki-Kinoshita; Matthew P Campbell; Catherine E Costello; Anne Dell; Stuart M Haslam; Niclas G Karlsson; Kay-Hooi Khoo; Daniel Kolarich; Milos V Novotny; Nicolle H Packer; Rene Ranzinger; Erdmann Rapp; Pauline M Rudd; Weston B Struwe; Michael Tiemeyer; Lance Wells; William S York; Joseph Zaia; Carsten Kettner; James C Paulson; Ten Feizi; David F Smith Journal: Glycobiology Date: 2016-11-22 Impact factor: 4.313
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