tetano
Editor, Senior Moderator
Bioinformatics. 2013 Oct 17. [Epub ahead of print]
Frequent glycan structure mining of influenza virus data revealed a sulfated glycan motif that increased viral infection.
Ichimiya T, Nishihara S, Takase-Yoden S, Kida H, Aoki-Kinoshita KF.
Source
Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo, 192-8577,Japan.
Abstract
MOTIVATION:
It is well known influenza viruses recognize and bind terminal sialic acid 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 sialic acid that may be involved in viral infection.
RESULTS:
In addition to sialic acid 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 to the control. Thus we have indeed 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.
CONTACT:
kkiyoko@soka.ac.jp SUPPLEMENTARY INFORMATION: Supplementary information is available at http://www.rings.t.soka.ac.jp/supp/miner_virus2013/.
PMID:
24135264
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24135264
Frequent glycan structure mining of influenza virus data revealed a sulfated glycan motif that increased viral infection.
Ichimiya T, Nishihara S, Takase-Yoden S, Kida H, Aoki-Kinoshita KF.
Source
Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo, 192-8577,Japan.
Abstract
MOTIVATION:
It is well known influenza viruses recognize and bind terminal sialic acid 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 sialic acid that may be involved in viral infection.
RESULTS:
In addition to sialic acid 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 to the control. Thus we have indeed 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.
CONTACT:
kkiyoko@soka.ac.jp SUPPLEMENTARY INFORMATION: Supplementary information is available at http://www.rings.t.soka.ac.jp/supp/miner_virus2013/.
PMID:
24135264
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24135264