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Ye, Chenglin,Li, Qiao,Li, Xinyi,Park, Chae Gyu,He, Yingxia,Zhang, Yingmiao,Wu, Bicong,Xue, Ying,Yang, Kun,Lv, Yin,Ying, Xiao-Ling,Ding, Hong-Hui,Cai, Huahua,Alkraiem, Ayman Ahmad,Njiri, Olivia,Tembo, American Society for Microbiology 2019 Infection and immunity Vol.87 No.8
<P><I>Salmonella enterica</I> serovar Typhimurium, a Gram-negative bacterium, can cause infectious diseases ranging from gastroenteritis to systemic dissemination and infection. However, the molecular mechanisms underlying this bacterial dissemination have yet to be elucidated. A study indicated that using the lipopolysaccharide (LPS) core as a ligand, <I>S</I>.</P><P><I>Salmonella enterica</I> serovar Typhimurium, a Gram-negative bacterium, can cause infectious diseases ranging from gastroenteritis to systemic dissemination and infection. However, the molecular mechanisms underlying this bacterial dissemination have yet to be elucidated. A study indicated that using the lipopolysaccharide (LPS) core as a ligand, <I>S</I>. Typhimurium was able to bind human dendritic cell-specific intercellular adhesion molecule-3-grabbing nonintegrin (hCD209a), an HIV receptor that promotes viral dissemination by hijacking antigen-presenting cells (APCs). In this study, we showed that <I>S</I>. Typhimurium interacted with CD209s, leading to the invasion of APCs and potentially the dissemination to regional lymph nodes, spleen, and liver in mice. Shielding of the exposed LPS core through the expression of O-antigen reduces dissemination and infection. Thus, we propose that similar to HIV, <I>S</I>. Typhimurium may also utilize APCs via interactions with CD209s as a way to disseminate to the lymph nodes, spleen, and liver to initiate host infection.</P>
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Chunhua Ma,Xia Ye,Yanhui Chen,Jiancan Feng,Xiaoli Shang,Jidong Li,Yingxia Wu,Jianbin Hu 한국원예학회 2012 Horticulture, Environment, and Biotechnology Vol.53 No.4
The histological process of adventitious shoot regeneration from the leaf explants of Zizyphus jujuba ‘Huizao’was reported in this study. This is the first report on the detailed histological process of direct shoot regeneration from leaf explants in Z. jujube. Shoot regeneration was obtained from woody plant medium (WPM) supplemented with 2.27 μM thidiazuron (TDZ), 1.07 μM α-naphthalene-acetic acid (NAA) and 2.94 μM silver nitrate (AgNO3) for 10days in the dark followed by 3 weeks at a 14 hours photoperiod. The adventitious buds mostly formed from leaf veins and petioles, and the further histological studies revealed that there were multiple vascular bundles around leaf veins and the adaxial side of explants, and the adventitious buds directly originated from the parenchymatous cells around the vascular bundles without the intervening callus phase. After 3 days of culture, the parenchymatous cells started dividing and meristemoids formed thereafter. The meristematic cells continued division and subsequently gave rise to bud primordia. Well-developed shoot buds through direct organogenesis was achieved after 20 days of culture.
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Yang, Kun,Park, Chae G,Cheong, Cheolho,Bulgheresi, Silvia,Zhang, Shusheng,Zhang, Pei,He, Yingxia,Jiang, Lingyu,Huang, Hongping,Ding, Honghui,Wu, Yiping,Wang, Shaogang,Zhang, Lin,Li, Anyi,Xia, Lianxu,B Nature Publishing Group 2015 Immunology and Cell Biology Vol. No.
<P><I>Yersinia pestis</I> is a Gram‐negative bacterium that causes plague. After <I>Y. pestis</I> overcomes the skin barrier, it encounters antigen‐presenting cells (APCs), such as Langerhans and dendritic cells. They transport the bacteria from the skin to the lymph nodes. However, the molecular mechanisms involved in bacterial transmission are unclear. Langerhans cells (LCs) express Langerin (CD207), a calcium‐dependent (C‐type) lectin. Furthermore, <I>Y. pestis</I> possesses exposed core oligosaccharides. In this study, we show that <I>Y. pestis</I> invades LCs and Langerin‐expressing transfectants. However, when the bacterial core oligosaccharides are shielded or truncated, <I>Y. pestis</I> propensity to invade Langerhans and Langerin‐expressing cells decreases. Moreover, the interaction of <I>Y. pestis</I> with Langerin‐expressing transfectants is inhibited by purified Langerin, a DC‐SIGN (DC‐specific intercellular adhesion molecule 3 grabbing nonintegrin)‐like molecule, an anti‐CD207 antibody, purified core oligosaccharides and several oligosaccharides. Furthermore, covering core oligosaccharides reduces the mortality associated with murine infection by adversely affecting the transmission of <I>Y. pestis</I> to lymph nodes. These results demonstrate that direct interaction of core oligosaccharides with Langerin facilitates the invasion of LCs by <I>Y. pestis</I>. Therefore, Langerin‐mediated binding of <I>Y. pestis</I> to APCs may promote its dissemination and infection.</P>
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Cross-Media Retrieval using Probabilistic Model of Automatic Image Annotation
Ying Xia,YunLong Wu,JiangFan Feng 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.4
In recent years, automatic image annotation (AIA) has been applied to cross-media retrieval usually due to its advantage of mining correlations of images and annotation texts efficiently. However, some AIA methods just annotate images as a unit and the accuracy of annotation may not be acceptable. In this paper, we propose a kind of probabilistic model which may assign keywords to an un-annotated image automatically based on a training dataset of images. Images in the training dataset are segmented into regions and a kind of vocabulary called blob is used to represent these image regions. Blobs are generated by using K-Means algorithm to cluster these image regions. Through this model, we can predict the probability of assigning a keyword into a blob. After the accomplishment of annotation, a keyword corresponds to one image region. Furthermore, the feature vectors of text documents are generated by TF.IDF method and images’ automatic annotation information is used to retrieve relevant text documents. Experiments on the IAPR TC-12 dataset and 500 Wikipedia webpages about landscape show the usefulness of applying probabilistic model of AIA to the cross-media retrieval.
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