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	<title>CiteULike: jyuh's Qin</title>
	<description>CiteULike: jyuh's Qin</description>


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	<dc:publisher>CiteULike.org</dc:publisher>
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<item rdf:about="http://www.citeulike.org/user/jyuh/article/2124033">
    <title>TreeFam: 2008 Update.</title>
    <link>http://www.citeulike.org/user/jyuh/article/2124033</link>
    <description>&lt;i&gt;Nucleic Acids Res (1 December 2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;TreeFam (http://www.treefam.org) was developed to provide curated phylogenetic trees for all animal gene families, as well as orthologue and paralogue assignments. Release 4.0 of TreeFam contains curated trees for 1314 families and automatically generated trees for another 14 351 families. We have expanded TreeFam to include 25 fully sequenced animal genomes, as well as four genomes from plant and fungal outgroup species. We have also introduced more accurate approaches for automatically grouping genes into families, for building phylogenetic trees, and for inferring orthologues and paralogues. The user interface for viewing phylogenetic trees and family information has been improved. Furthermore, a new perl API lets users easily extract data from the TreeFam mysql database.</description>
    <dc:title>TreeFam: 2008 Update.</dc:title>

    <dc:creator>Jue Ruan</dc:creator>
    <dc:creator>Heng Li</dc:creator>
    <dc:creator>Zhongzhong Chen</dc:creator>
    <dc:creator>Avril Coghlan</dc:creator>
    <dc:creator>Lachlan James M Coin</dc:creator>
    <dc:creator>Yiran Guo</dc:creator>
    <dc:creator>Jean-Karim Hériché</dc:creator>
    <dc:creator>Yafeng Hu</dc:creator>
    <dc:creator>Karsten Kristiansen</dc:creator>
    <dc:creator>Ruiqiang Li</dc:creator>
    <dc:creator>Tao Liu</dc:creator>
    <dc:creator>Alan Moses</dc:creator>
    <dc:creator>Junjie Qin</dc:creator>
    <dc:creator>Søren Vang</dc:creator>
    <dc:creator>Albert J Vilella</dc:creator>
    <dc:creator>Abel Ureta-Vidal</dc:creator>
    <dc:creator>Lars Bolund</dc:creator>
    <dc:creator>Jun Wang</dc:creator>
    <dc:creator>Richard Durbin</dc:creator>
    <dc:source>Nucleic Acids Res (1 December 2007)</dc:source>
    <dc:date>2007-12-15T14:27:54-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Nucleic Acids Res</prism:publicationName>
    <prism:issn>1362-4962</prism:issn>
    <prism:category>phylogenetics</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/3025933">
    <title>Summary of contributions to GAW15 Group 13: candidate gene association studies.</title>
    <link>http://www.citeulike.org/user/jyuh/article/3025933</link>
    <description>&lt;i&gt;Genetic epidemiology, Vol. 31 Suppl 1 (2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Here we summarize the contributions to Group 13 of the Genetic Analysis Workshop 15 held in St. Pete Beach, Florida, on November 12-14, 2006. The focus of this group was to identify candidate genes associated with rheumatoid arthritis or surrogate outcomes. The association methods proposed in this group were diverse, from better known approaches, such as logistic regression for single nucleotide polymorphism (SNP) analysis and haplotype sharing tests to methods less familiar to genetic epidemiologists, such as machine learning and visualization methods. The majority of papers analyzed Genetic Analysis Workshop 15 Problems 2 (rheumatoid arthritis data) and 3 (simulated data). The highlighted points of this group analyses were: (1) haplotype-based statistics can be more powerful than single SNP analysis for risk-locus localization; (2) considering linkage disequilibrium block structure in haplotype analysis may reduce the likelihood of false-positive results; and (3) visual representation of genetic models for continuous covariates may help identify SNPs associated with the underlying quantitative trait loci.</description>
    <dc:title>Summary of contributions to GAW15 Group 13: candidate gene association studies.</dc:title>

    <dc:creator>M de Andrade</dc:creator>
    <dc:creator>AS Allen</dc:creator>
    <dc:creator>D Brinza</dc:creator>
    <dc:creator>R Cheng</dc:creator>
    <dc:creator>Y Da</dc:creator>
    <dc:creator>AR de Vries</dc:creator>
    <dc:creator>A Ewhida</dc:creator>
    <dc:creator>Z Feng</dc:creator>
    <dc:creator>H Jung</dc:creator>
    <dc:creator>HJ Hsieh</dc:creator>
    <dc:creator>K Köhler</dc:creator>
    <dc:creator>Y Liu</dc:creator>
    <dc:creator>W Liu-Mares</dc:creator>
    <dc:creator>J Luan</dc:creator>
    <dc:creator>V Marquard</dc:creator>
    <dc:creator>IM Nolte</dc:creator>
    <dc:creator>S Oh</dc:creator>
    <dc:creator>A Platt</dc:creator>
    <dc:creator>X Qin</dc:creator>
    <dc:creator>YJ Yoo</dc:creator>
    <dc:creator>A Yuan</dc:creator>
    <dc:creator>X Tian</dc:creator>
    <dc:creator>S Won</dc:creator>
    <dc:identifier>doi:10.1002/gepi.20287</dc:identifier>
    <dc:source>Genetic epidemiology, Vol. 31 Suppl 1 (2007)</dc:source>
    <dc:date>2008-07-22T00:55:06-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Genetic epidemiology</prism:publicationName>
    <prism:issn>0741-0395</prism:issn>
    <prism:volume>31 Suppl 1</prism:volume>
    <prism:category>association</prism:category>
    <prism:category>dataset</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/2678793">
    <title>The complete genome of an individual by massively parallel DNA sequencing</title>
    <link>http://www.citeulike.org/user/jyuh/article/2678793</link>
    <description>&lt;i&gt;Nature, Vol. 452, No. 7189. (17 April 2008), pp. 872-876.&lt;/i&gt;</description>
    <dc:title>The complete genome of an individual by massively parallel DNA sequencing</dc:title>

    <dc:creator>David Wheeler</dc:creator>
    <dc:creator>Maithreyan Srinivasan</dc:creator>
    <dc:creator>Michael Egholm</dc:creator>
    <dc:creator>Yufeng Shen</dc:creator>
    <dc:creator>Lei Chen</dc:creator>
    <dc:creator>Amy Mcguire</dc:creator>
    <dc:creator>Wen He</dc:creator>
    <dc:creator>Yi-Ju Chen</dc:creator>
    <dc:creator>Vinod Makhijani</dc:creator>
    <dc:creator>Thomas Roth</dc:creator>
    <dc:creator>Xavier Gomes</dc:creator>
    <dc:creator>Karrie Tartaro</dc:creator>
    <dc:creator>Faheem Niazi</dc:creator>
    <dc:creator>Cynthia Turcotte</dc:creator>
    <dc:creator>Gerard Irzyk</dc:creator>
    <dc:creator>James Lupski</dc:creator>
    <dc:creator>Craig Chinault</dc:creator>
    <dc:creator>Xing-Zhi Song</dc:creator>
    <dc:creator>Yue Liu</dc:creator>
    <dc:creator>Ye Yuan</dc:creator>
    <dc:creator>Lynne Nazareth</dc:creator>
    <dc:creator>Xiang Qin</dc:creator>
    <dc:creator>Donna Muzny</dc:creator>
    <dc:creator>Marcel Margulies</dc:creator>
    <dc:creator>George Weinstock</dc:creator>
    <dc:creator>Richard Gibbs</dc:creator>
    <dc:creator>Jonathan Rothberg</dc:creator>
    <dc:identifier>doi:10.1038/nature06884</dc:identifier>
    <dc:source>Nature, Vol. 452, No. 7189. (17 April 2008), pp. 872-876.</dc:source>
    <dc:date>2008-04-16T19:24:49-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Nature</prism:publicationName>
    <prism:volume>452</prism:volume>
    <prism:number>7189</prism:number>
    <prism:startingPage>872</prism:startingPage>
    <prism:endingPage>876</prism:endingPage>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>hgp</prism:category>
    <prism:category>sequencing</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/2946529">
    <title>Volume overhydration is related to endothelial dysfunction in continuous ambulatory peritoneal dialysis patients.</title>
    <link>http://www.citeulike.org/user/jyuh/article/2946529</link>
    <description>&lt;i&gt;Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis, Vol. 28, No. 4. (g 2008), pp. 397-402.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;OBJECTIVE: In dialysis patients, volume overhydration is common and is related to increased risk of cardiovascular morbidity and mortality. However, it remains unclear whether volume overload imposes those detrimental effects through endothelial dysfunction. METHODS: In this cross-sectional study, 81 stable patients on continuous ambulatory peritoneal dialysis in a single center were recruited. Volume status was evaluated by extracellular water, assessed by bioimpedance analysis, and normalized to individual height (nECW). Endothelial function was estimated by endothelial-dependent flow-mediated dilatation (FMD) of the brachial artery and expressed as percentage change relative to baseline diameter. RESULTS: There were 37 male and 44 female patients (mean age 61 +/- 12 years, dialysis vintage 20 +/- 23 months). FMD in female patients was significantly higher than that in male patients (9.17% +/- 6.23% vs 6.31% +/- 5.01%, p &#60; 0.05). FMD was negatively correlated with weight (r = -0.308, p &#60; 0.01), body mass index (r = -0.242, p &#60; 0.05), systolic blood pressure (r = -0.228, p &#60; 0.05), ECW (r = -0.404, p &#60; 0.001), and nECW (r = -0.418, p &#60; 0.001). No correlation was found between FMD and other variables. In multiple stepwise regression analysis, calcium x phosphate product (beta = 0.422, p &#60; 0.001), nECW (beta = -0.343, p &#60; 0.01), and dialysis vintage (beta = -0.237, p &#60; 0.05) were independent determinants of FMD (adjusted R(2) = 0.327 for this model). CONCLUSION: There was independent correlation between index of volume status and FMD, and higher nECW was related to worse endothelial function. The results of this study may help us understand the underlying mechanism of volume overhydration leading to increased cardiovascular morbidity and mortality in dialysis patients.</description>
    <dc:title>Volume overhydration is related to endothelial dysfunction in continuous ambulatory peritoneal dialysis patients.</dc:title>

    <dc:creator>LT Cheng</dc:creator>
    <dc:creator>YL Gao</dc:creator>
    <dc:creator>C Qin</dc:creator>
    <dc:creator>JP Tian</dc:creator>
    <dc:creator>Y Gu</dc:creator>
    <dc:creator>SH Bi</dc:creator>
    <dc:creator>W Tang</dc:creator>
    <dc:creator>T Wang</dc:creator>
    <dc:source>Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis, Vol. 28, No. 4. (g 2008), pp. 397-402.</dc:source>
    <dc:date>2008-07-01T03:26:36-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis</prism:publicationName>
    <prism:issn>0896-8608</prism:issn>
    <prism:volume>28</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>397</prism:startingPage>
    <prism:endingPage>402</prism:endingPage>
    <prism:category>endothelial-dysfunction</prism:category>
    <prism:category>pd</prism:category>
    <prism:category>uf</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/2622658">
    <title>Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.</title>
    <link>http://www.citeulike.org/user/jyuh/article/2622658</link>
    <description>&lt;i&gt;Nature genetics (30 March 2008)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D). Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and approximately 2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample with an effective sample size of up to 53,975. We detected at least six previously unknown loci with robust evidence for association, including the JAZF1 (P = 5.0 x 10(-14)), CDC123-CAMK1D (P = 1.2 x 10(-10)), TSPAN8-LGR5 (P = 1.1 x 10(-9)), THADA (P = 1.1 x 10(-9)), ADAMTS9 (P = 1.2 x 10(-8)) and NOTCH2 (P = 4.1 x 10(-8)) gene regions. Our results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D.</description>
    <dc:title>Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.</dc:title>

    <dc:creator>Eleftheria Zeggini</dc:creator>
    <dc:creator>Laura J Scott</dc:creator>
    <dc:creator>Richa Saxena</dc:creator>
    <dc:creator>Benjamin F Voight</dc:creator>
    <dc:creator>Jonathan L Marchini</dc:creator>
    <dc:creator>Tianle Hu</dc:creator>
    <dc:creator>Paul Iw de Bakker</dc:creator>
    <dc:creator>Gonçalo R Abecasis</dc:creator>
    <dc:creator>Peter Almgren</dc:creator>
    <dc:creator>Gitte Andersen</dc:creator>
    <dc:creator>Kristin Ardlie</dc:creator>
    <dc:creator>Kristina Bengtsson Boström</dc:creator>
    <dc:creator>Richard N Bergman</dc:creator>
    <dc:creator>Lori L Bonnycastle</dc:creator>
    <dc:creator>Knut Borch-Johnsen</dc:creator>
    <dc:creator>Noël P Burtt</dc:creator>
    <dc:creator>Hong Chen</dc:creator>
    <dc:creator>Peter S Chines</dc:creator>
    <dc:creator>Mark J Daly</dc:creator>
    <dc:creator>Parimal Deodhar</dc:creator>
    <dc:creator>Chia-Jen Ding</dc:creator>
    <dc:creator>Alex S F Doney</dc:creator>
    <dc:creator>William L Duren</dc:creator>
    <dc:creator>Katherine S Elliott</dc:creator>
    <dc:creator>Michael R Erdos</dc:creator>
    <dc:creator>Timothy M Frayling</dc:creator>
    <dc:creator>Rachel M Freathy</dc:creator>
    <dc:creator>Lauren Gianniny</dc:creator>
    <dc:creator>Harald Grallert</dc:creator>
    <dc:creator>Niels Grarup</dc:creator>
    <dc:creator>Christopher J Groves</dc:creator>
    <dc:creator>Candace Guiducci</dc:creator>
    <dc:creator>Torben Hansen</dc:creator>
    <dc:creator>Christian Herder</dc:creator>
    <dc:creator>Graham A Hitman</dc:creator>
    <dc:creator>Thomas E Hughes</dc:creator>
    <dc:creator>Bo Isomaa</dc:creator>
    <dc:creator>Anne U Jackson</dc:creator>
    <dc:creator>Torben Jørgensen</dc:creator>
    <dc:creator>Augustine Kong</dc:creator>
    <dc:creator>Kari Kubalanza</dc:creator>
    <dc:creator>Finny G Kuruvilla</dc:creator>
    <dc:creator>Johanna Kuusisto</dc:creator>
    <dc:creator>Claudia Langenberg</dc:creator>
    <dc:creator>Hana Lango</dc:creator>
    <dc:creator>Torsten Lauritzen</dc:creator>
    <dc:creator>Yun Li</dc:creator>
    <dc:creator>Cecilia M Lindgren</dc:creator>
    <dc:creator>Valeriya Lyssenko</dc:creator>
    <dc:creator>Amanda F Marvelle</dc:creator>
    <dc:creator>Christa Meisinger</dc:creator>
    <dc:creator>Kristian Midthjell</dc:creator>
    <dc:creator>Karen L Mohlke</dc:creator>
    <dc:creator>Mario A Morken</dc:creator>
    <dc:creator>Andrew D Morris</dc:creator>
    <dc:creator>Narisu Narisu</dc:creator>
    <dc:creator>Peter Nilsson</dc:creator>
    <dc:creator>Katharine R Owen</dc:creator>
    <dc:creator>Colin Na Palmer</dc:creator>
    <dc:creator>Felicity Payne</dc:creator>
    <dc:creator>John R B Perry</dc:creator>
    <dc:creator>Elin Pettersen</dc:creator>
    <dc:creator>Carl Platou</dc:creator>
    <dc:creator>Inga Prokopenko</dc:creator>
    <dc:creator>Lu Qi</dc:creator>
    <dc:creator>Li Qin</dc:creator>
    <dc:creator>Nigel W Rayner</dc:creator>
    <dc:creator>Matthew Rees</dc:creator>
    <dc:creator>Jeffrey J Roix</dc:creator>
    <dc:creator>Anelli Sandbæk</dc:creator>
    <dc:creator>Beverley Shields</dc:creator>
    <dc:creator>Marketa Sjögren</dc:creator>
    <dc:creator>Valgerdur Steinthorsdottir</dc:creator>
    <dc:creator>Heather M Stringham</dc:creator>
    <dc:creator>Amy J Swift</dc:creator>
    <dc:creator>Gudmar Thorleifsson</dc:creator>
    <dc:creator>Unnur Thorsteinsdottir</dc:creator>
    <dc:creator>Nicholas J Timpson</dc:creator>
    <dc:creator>Tiinamaija Tuomi</dc:creator>
    <dc:creator>Jaakko Tuomilehto</dc:creator>
    <dc:creator>Mark Walker</dc:creator>
    <dc:creator>Richard M Watanabe</dc:creator>
    <dc:creator>Michael N Weedon</dc:creator>
    <dc:creator>Cristen J Willer</dc:creator>
    <dc:creator></dc:creator>
    <dc:creator>Thomas Illig</dc:creator>
    <dc:creator>Kristian Hveem</dc:creator>
    <dc:creator>Frank B Hu</dc:creator>
    <dc:creator>Markku Laakso</dc:creator>
    <dc:creator>Kari Stefansson</dc:creator>
    <dc:creator>Oluf Pedersen</dc:creator>
    <dc:creator>Nicholas J Wareham</dc:creator>
    <dc:creator>Inês Barroso</dc:creator>
    <dc:creator>Andrew T Hattersley</dc:creator>
    <dc:creator>Francis S Collins</dc:creator>
    <dc:creator>Leif Groop</dc:creator>
    <dc:creator>Mark I McCarthy</dc:creator>
    <dc:creator>Michael Boehnke</dc:creator>
    <dc:creator>David Altshuler</dc:creator>
    <dc:identifier>doi:10.1038/ng.120</dc:identifier>
    <dc:source>Nature genetics (30 March 2008)</dc:source>
    <dc:date>2008-04-02T08:50:44-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Nature genetics</prism:publicationName>
    <prism:issn>1546-1718</prism:issn>
    <prism:category>dm</prism:category>
    <prism:category>gwa</prism:category>
    <prism:category>statistics</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/2776647">
    <title>A combinatorial library of lipid-like materials for delivery of RNAi therapeutics</title>
    <link>http://www.citeulike.org/user/jyuh/article/2776647</link>
    <description>&lt;i&gt;Nature Biotechnology, Vol. 26, No. 5. (27 April 2008), pp. 561-569.&lt;/i&gt;</description>
    <dc:title>A combinatorial library of lipid-like materials for delivery of RNAi therapeutics</dc:title>

    <dc:creator>Akin Akinc</dc:creator>
    <dc:creator>Andreas Zumbuehl</dc:creator>
    <dc:creator>Michael Goldberg</dc:creator>
    <dc:creator>Elizaveta Leshchiner</dc:creator>
    <dc:creator>Valentina Busini</dc:creator>
    <dc:creator>Naushad Hossain</dc:creator>
    <dc:creator>Sergio Bacallado</dc:creator>
    <dc:creator>David Nguyen</dc:creator>
    <dc:creator>Jason Fuller</dc:creator>
    <dc:creator>Rene Alvarez</dc:creator>
    <dc:creator>Anna Borodovsky</dc:creator>
    <dc:creator>Todd Borland</dc:creator>
    <dc:creator>Rainer Constien</dc:creator>
    <dc:creator>Antonin de Fougerolles</dc:creator>
    <dc:creator>Robert Dorkin</dc:creator>
    <dc:creator>Narayanannair Jayaprakash</dc:creator>
    <dc:creator>Muthusamy Jayaraman</dc:creator>
    <dc:creator>Matthias John</dc:creator>
    <dc:creator>Victor Koteliansky</dc:creator>
    <dc:creator>Muthiah Manoharan</dc:creator>
    <dc:creator>Lubomir Nechev</dc:creator>
    <dc:creator>June Qin</dc:creator>
    <dc:creator>Timothy Racie</dc:creator>
    <dc:creator>Denitza Raitcheva</dc:creator>
    <dc:creator>Kallanthottathil Rajeev</dc:creator>
    <dc:creator>Dinah Sah</dc:creator>
    <dc:creator>Jürgen Soutschek</dc:creator>
    <dc:creator>Ivanka Toudjarska</dc:creator>
    <dc:creator>Hans-Peter Vornlocher</dc:creator>
    <dc:creator>Tracy Zimmermann</dc:creator>
    <dc:creator>Robert Langer</dc:creator>
    <dc:creator>Daniel Anderson</dc:creator>
    <dc:identifier>doi:10.1038/nbt1402</dc:identifier>
    <dc:source>Nature Biotechnology, Vol. 26, No. 5. (27 April 2008), pp. 561-569.</dc:source>
    <dc:date>2008-05-09T21:16:17-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Nature Biotechnology</prism:publicationName>
    <prism:issn>1087-0156</prism:issn>
    <prism:volume>26</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>561</prism:startingPage>
    <prism:endingPage>569</prism:endingPage>
    <prism:publisher>Nature Publishing Group</prism:publisher>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/2792223">
    <title>Discovery of a Cytokine and Its Receptor by Functional Screening of the Extracellular Proteome</title>
    <link>http://www.citeulike.org/user/jyuh/article/2792223</link>
    <description>&lt;i&gt;Science, Vol. 320, No. 5877. (9 May 2008), pp. 807-811.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;To understand the system of secreted proteins and receptors involved in cell-cell signaling, we produced a comprehensive set of recombinant secreted proteins and the extracellular domains of transmembrane proteins, which constitute most of the protein components of the extracellular space. Each protein was tested in a suite of assays that measured metabolic, growth, or transcriptional responses in diverse cell types. The pattern of responses across assays was analyzed for the degree of functional selectivity of each protein. One of the highly selective proteins was a previously undescribed ligand, designated interleukin-34 (IL-34), which stimulates monocyte viability but does not affect responses in a wide spectrum of other assays. In a separate functional screen, we used a collection of extracellular domains of transmembrane proteins to discover the receptor for IL-34, which was a known cytokine receptor, colony-stimulating factor 1 (also called macrophage colony-stimulating factor) receptor. This systematic approach is thus useful for discovering new ligands and receptors and assessing the functional selectivity of extracellular regulatory proteins. 10.1126/science.1154370</description>
    <dc:title>Discovery of a Cytokine and Its Receptor by Functional Screening of the Extracellular Proteome</dc:title>

    <dc:creator>Haishan Lin</dc:creator>
    <dc:creator>Ernestine Lee</dc:creator>
    <dc:creator>Kevin Hestir</dc:creator>
    <dc:creator>Cindy Leo</dc:creator>
    <dc:creator>Minmei Huang</dc:creator>
    <dc:creator>Elizabeth Bosch</dc:creator>
    <dc:creator>Robert Halenbeck</dc:creator>
    <dc:creator>Ge Wu</dc:creator>
    <dc:creator>Aileen Zhou</dc:creator>
    <dc:creator>Dirk Behrens</dc:creator>
    <dc:creator>Diane Hollenbaugh</dc:creator>
    <dc:creator>Thomas Linnemann</dc:creator>
    <dc:creator>Minmin Qin</dc:creator>
    <dc:creator>Justin Wong</dc:creator>
    <dc:creator>Keting Chu</dc:creator>
    <dc:creator>Stephen Doberstein</dc:creator>
    <dc:creator>Lewis Williams</dc:creator>
    <dc:identifier>doi:10.1126/science.1154370</dc:identifier>
    <dc:source>Science, Vol. 320, No. 5877. (9 May 2008), pp. 807-811.</dc:source>
    <dc:date>2008-05-13T01:59:36-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Science</prism:publicationName>
    <prism:volume>320</prism:volume>
    <prism:number>5877</prism:number>
    <prism:startingPage>807</prism:startingPage>
    <prism:endingPage>811</prism:endingPage>
    <prism:category>cytokine</prism:category>
    <prism:category>method</prism:category>
    <prism:category>proteomics</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1798418">
    <title>Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework</title>
    <link>http://www.citeulike.org/user/jyuh/article/1798418</link>
    <description>&lt;i&gt;BMC Bioinformatics, Vol. 8 (18 October 2007), 403.&lt;/i&gt;</description>
    <dc:title>Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework</dc:title>

    <dc:creator>Michael Gilchrist</dc:creator>
    <dc:creator>Hong Qin</dc:creator>
    <dc:creator>Russell Zaretzki</dc:creator>
    <dc:identifier>doi:10.1186/1471-2105-8-403</dc:identifier>
    <dc:source>BMC Bioinformatics, Vol. 8 (18 October 2007), 403.</dc:source>
    <dc:date>2007-10-20T20:23:49-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>BMC Bioinformatics</prism:publicationName>
    <prism:issn>1471-2105</prism:issn>
    <prism:volume>8</prism:volume>
    <prism:startingPage>403</prism:startingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1673621">
    <title>PROTEASOME INHIBITOR LACTACYSTIN ABLATES LIVER INJURY INDUCED BY INTESTINAL ISCHAEMIAREPERFUSION</title>
    <link>http://www.citeulike.org/user/jyuh/article/1673621</link>
    <description>&lt;i&gt;Clinical and Experimental Pharmacology and Physiology, Vol. 34, No. 11. (November 2007), pp. 1102-1108.&lt;/i&gt;</description>
    <dc:title>PROTEASOME INHIBITOR LACTACYSTIN ABLATES LIVER INJURY INDUCED BY INTESTINAL ISCHAEMIAREPERFUSION</dc:title>

    <dc:creator>Yao</dc:creator>
    <dc:creator>Ji-Hong</dc:creator>
    <dc:creator>Li</dc:creator>
    <dc:creator>Ying-Hua</dc:creator>
    <dc:creator>Wang</dc:creator>
    <dc:creator>Zhen-Zhen</dc:creator>
    <dc:creator>Zhang</dc:creator>
    <dc:creator>Xue-Song</dc:creator>
    <dc:creator>Wang</dc:creator>
    <dc:creator>Yu-Zhu</dc:creator>
    <dc:creator>Yuan</dc:creator>
    <dc:creator>Jin-Chan</dc:creator>
    <dc:creator>Zhou</dc:creator>
    <dc:creator>Qin</dc:creator>
    <dc:creator>Liu</dc:creator>
    <dc:creator>Ke-Xin</dc:creator>
    <dc:creator>Tian</dc:creator>
    <dc:creator>Xiao-Feng</dc:creator>
    <dc:identifier>doi:10.1111/j.1440-1681.2007.04674.x</dc:identifier>
    <dc:source>Clinical and Experimental Pharmacology and Physiology, Vol. 34, No. 11. (November 2007), pp. 1102-1108.</dc:source>
    <dc:date>2007-09-19T05:19:57-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Clinical and Experimental Pharmacology and Physiology</prism:publicationName>
    <prism:issn>0305-1870</prism:issn>
    <prism:volume>34</prism:volume>
    <prism:number>11</prism:number>
    <prism:startingPage>1102</prism:startingPage>
    <prism:endingPage>1108</prism:endingPage>
    <prism:publisher>Blackwell Publishing</prism:publisher>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/2359638">
    <title>SHP-2 regulates cell growth by controlling the mTOR/S6 kinase 1 pathway.</title>
    <link>http://www.citeulike.org/user/jyuh/article/2359638</link>
    <description>&lt;i&gt;J Biol Chem, Vol. 282, No. 10. (9 March 2007), pp. 6946-6953.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Cell growth (accumulation in cell mass) ensues through the promotion of macromolecular biosynthesis. S 6 ribosomal kinase 1 (S6K1), which is activated by the mammalian target of rapamycin, is critical for cell growth. The early events that control S6K1 signaling remain unclear. Here we show that SHP-2 suppresses S6K1 activity under conditions of growth factor deprivation. We show that under conditions of growth factor deprivation, S6K1 activity was increased in fibroblasts lacking functional SHP-2 and in cells where knock down of SHP-2 expression was established by small interference RNA. Consistent with these findings, fibroblasts lacking functional SHP-2 exhibited increased cell size as compared with wild type cells. Growth factor deprivation reduces cellular energy, and the energy-sensing 5'-AMP-activated protein kinase (AMPK) negatively regulates S6K1. We found that SHP-2 promoted AMPK activity under conditions of growth factor deprivation (low energy), suggesting that SHP-2 negatively regulates S6K1 via an AMPK-dependent pathway. These results implicate SHP-2 as an early mediator in the S6K1 signaling pathway to limit cell growth in low energy states.</description>
    <dc:title>SHP-2 regulates cell growth by controlling the mTOR/S6 kinase 1 pathway.</dc:title>

    <dc:creator>CI Zito</dc:creator>
    <dc:creator>H Qin</dc:creator>
    <dc:creator>J Blenis</dc:creator>
    <dc:creator>AM Bennett</dc:creator>
    <dc:identifier>doi:10.1074/jbc.M608338200</dc:identifier>
    <dc:source>J Biol Chem, Vol. 282, No. 10. (9 March 2007), pp. 6946-6953.</dc:source>
    <dc:date>2008-02-10T14:03:58-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J Biol Chem</prism:publicationName>
    <prism:issn>0021-9258</prism:issn>
    <prism:volume>282</prism:volume>
    <prism:number>10</prism:number>
    <prism:startingPage>6946</prism:startingPage>
    <prism:endingPage>6953</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/2181476">
    <title>A novel mechanism of mechanical stress-induced angiotensin II type 1-receptor activation without the involvement of angiotensin II.</title>
    <link>http://www.citeulike.org/user/jyuh/article/2181476</link>
    <description>&lt;i&gt;Naunyn Schmiedebergs Arch Pharmacol (29 November 2007)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The angiotensin II (AngII) type 1 (AT(1)) receptor is a seven transmembrane-spanning G-protein-coupled receptor, and the activation of AT(1) receptor plays an important role in the development of load-induced cardiac hypertrophy. Locally generated AngII was believed to trigger cardiac hypertrophy by an autocrine or paracrine mechanism. However, we found that mechanical stress can activate AT(1) receptor independently of AngII. Without the involvement of AngII, mechanical stress not only activates extracellular signal-regulated kinases in vitro, but also induces cardiac hypertrophy in vivo. All of these events are inhibited by candesartan as an inverse agonist for AT(1) receptor. It is conceptually novel that AT(1) receptor directly mediates mechanical stress-induced cellular responses, and inverse-agonist activity emerges as an important pharmacological parameter for AT(1)-receptor blockers that determines their efficacy in preventing organ damage in cardiovascular diseases.</description>
    <dc:title>A novel mechanism of mechanical stress-induced angiotensin II type 1-receptor activation without the involvement of angiotensin II.</dc:title>

    <dc:creator>Noritaka Yasuda</dc:creator>
    <dc:creator>Hiroshi Akazawa</dc:creator>
    <dc:creator>Yingjie Qin</dc:creator>
    <dc:creator>Yunzeng Zou</dc:creator>
    <dc:creator>Issei Komuro</dc:creator>
    <dc:identifier>doi:10.1007/s00210-007-0215-1</dc:identifier>
    <dc:source>Naunyn Schmiedebergs Arch Pharmacol (29 November 2007)</dc:source>
    <dc:date>2007-12-30T11:52:51-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Naunyn Schmiedebergs Arch Pharmacol</prism:publicationName>
    <prism:issn>0028-1298</prism:issn>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/949355">
    <title>A comparative analysis of the information content in long and short SAGE libraries</title>
    <link>http://www.citeulike.org/user/jyuh/article/949355</link>
    <description>&lt;i&gt;BMC Bioinformatics, Vol. 7 (16 November 2006), 504.&lt;/i&gt;</description>
    <dc:title>A comparative analysis of the information content in long and short SAGE libraries</dc:title>

    <dc:creator>Yi-Ju Li</dc:creator>
    <dc:creator>Puting Xu</dc:creator>
    <dc:creator>Xuejun Qin</dc:creator>
    <dc:creator>Donald Schmechel</dc:creator>
    <dc:creator>Christine Hulette</dc:creator>
    <dc:creator>Jonathan Haines</dc:creator>
    <dc:creator>Margaret Pericak-Vance</dc:creator>
    <dc:creator>John Gilbert</dc:creator>
    <dc:identifier>doi:10.1186/1471-2105-7-504</dc:identifier>
    <dc:source>BMC Bioinformatics, Vol. 7 (16 November 2006), 504.</dc:source>
    <dc:date>2006-11-16T19:25:48-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>BMC Bioinformatics</prism:publicationName>
    <prism:issn>1471-2105</prism:issn>
    <prism:volume>7</prism:volume>
    <prism:startingPage>504</prism:startingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1897749">
    <title>Acetylcholine leads to free radical production dependent on K(ATP) channels, G(i) proteins, phosphatidylinositol 3-kinase and tyrosine kinase.</title>
    <link>http://www.citeulike.org/user/jyuh/article/1897749</link>
    <description>&lt;i&gt;Cardiovasc Res, Vol. 55, No. 3. (15 August 2002), pp. 544-552.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;OBJECTIVE: Acetylcholine (ACh) mimics ischemic preconditioning (PC) and therefore protects the heart against lethal ischemia. Steps common to both ischemic and drug-induced PC are opening of mitochondrial K(ATP) channels (mito K(ATP)) and generation of reactive oxygen species (ROS). The aim of this study was to test whether ACh-induced ROS production could be seen in a vascular smooth muscle cell line, and, if so, to investigate the underlying signaling pathway. METHODS: Mitochondrial ROS generation was quantified by measuring changes in fluorescence of ROS-sensitive intracellular markers in vascular smooth muscle cells (A7r5). RESULTS: Fluorescence, and, therefore, ROS production, was increased to 197.5+/-8.5% of baseline after 45 min of exposure of cells to 2 mM ACh (P&#60;0.001 vs. untreated controls). This effect was blocked by co-treatment with a muscarinic receptor antagonist (atropine 102.8+/-2.9%, 4-DAMP 92.6+/-7.4%) or by inhibition of G(i) with pertussis toxin (PTX) (90.5+/-4.4%), implicating a receptor-mediated rather than non-specific effect of ACh. The increased fluorescence induced by ACh was also abrogated by the free radical scavenger N-(2-mercaptopropionyl) glycine (104.2+/-10.1%), documenting that ROS were indeed the cause of the enhanced fluorescence. Both diazoxide, a K(ATP) channel opener, and valinomycin, a potassium ionophore, also significantly increased ROS production, and these effects were not blocked by PTX, while the K(ATP) channel closer 5-hydroxydecanoate blocked ACh-induced ROS production (92.3+/-3.8%). These results suggest ROS production is directly influenced by K(ATP) activity and K(+) movements in the cell. The tyrosine kinase inhibitor genistein (102.8+/-6.6%) and the phosphatidylinositol 3 (PI3)-kinase inhibitor wortmannin (90.7+/-4.1%) also inhibited the ability of ACh to increase ROS production. CONCLUSION: The signaling pathway by which ACh leads to ROS generation in A7r5 cells involves a muscarinic surface receptor, a pertussis toxin-sensitive G protein, PI3-kinase, at least one tyrosine kinase, and a 5-hydroxydecanoate (5-HD)-dependent K(ATP) (presumably that in mitochondria).</description>
    <dc:title>Acetylcholine leads to free radical production dependent on K(ATP) channels, G(i) proteins, phosphatidylinositol 3-kinase and tyrosine kinase.</dc:title>

    <dc:creator>O Oldenburg</dc:creator>
    <dc:creator>Q Qin</dc:creator>
    <dc:creator>AR Sharma</dc:creator>
    <dc:creator>MV Cohen</dc:creator>
    <dc:creator>JM Downey</dc:creator>
    <dc:creator>JN Benoit</dc:creator>
    <dc:source>Cardiovasc Res, Vol. 55, No. 3. (15 August 2002), pp. 544-552.</dc:source>
    <dc:date>2007-11-11T07:12:43-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>Cardiovasc Res</prism:publicationName>
    <prism:issn>0008-6363</prism:issn>
    <prism:volume>55</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>544</prism:startingPage>
    <prism:endingPage>552</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1860115">
    <title>The role of tubulointerstitial inflammation.</title>
    <link>http://www.citeulike.org/user/jyuh/article/1860115</link>
    <description>&lt;i&gt;Kidney Int Suppl, No. 94. (April 2005)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;BACKGROUND: Exploration of the role of tubulointerstitial inflammation in experimental chronic renal disease (CRD) is an essential step to understanding and finding new treatments for human CRD. Adriamycin nephrosis (AN) is an experimental analogue of human focal glomerular sclerosis and tubulointerstitial inflammation. METHODS: Using murine and rat AN, we have systematically investigated the pathogenic roles of chemokines, costimulatory molecules, and inflammatory cells, such as macrophages and effector and regulatory T lymphocytes. The profile of humoral and cellular mediators was studied in vitro and in vivo. The pathogenic significance of various factors was investigated by DNA vaccination, leukocyte reconstitution and depletion, retroviral transduction, and blockade with monoclonal antibodies. RESULTS: Renal cortical and tubular cell CC-chemokines, including MCP-1, RANTES, and MIP-1alpha, were up-regulated via mediation of NFkappaB, and contributed to disease by attracting inflammatory cells into the interstitium. The role of these chemokines was confirmed by DNA vaccination. CD40-CD40L costimulation signals were involved in expansion and activation of the inflammatory infiltrate, whereas PD-1 signals were inhibitory, and CD28-B7 appeared to have a neutral effect. Macrophage and CD8+ T cells were shown to be effectors of injury, whereas CD4+CD25+ and gammadelta T cells acted as regulatory cells. FoxP3 transduction was able to convert naive T cells to CD4+CD25+ regulatory T cells. CONCLUSION: There is a broad range of humoral and cellular factors involved in the pathogenesis of experimental CRD, some of which are potential targets for treatment of human CRD.</description>
    <dc:title>The role of tubulointerstitial inflammation.</dc:title>

    <dc:creator>G Zheng</dc:creator>
    <dc:creator>Y Wang</dc:creator>
    <dc:creator>D Mahajan</dc:creator>
    <dc:creator>X Qin</dc:creator>
    <dc:creator>Y Wang</dc:creator>
    <dc:creator>Y Wang</dc:creator>
    <dc:creator>SI Alexander</dc:creator>
    <dc:creator>DC Harris</dc:creator>
    <dc:identifier>doi:10.1111/j.1523-1755.2005.09423.x</dc:identifier>
    <dc:source>Kidney Int Suppl, No. 94. (April 2005)</dc:source>
    <dc:date>2007-11-03T12:46:05-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Kidney Int Suppl</prism:publicationName>
    <prism:issn>0098-6577</prism:issn>
    <prism:number>94</prism:number>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1857740">
    <title>A proteomic analysis of ataxia telangiectasia-mutated (ATM)/ATM-Rad3-related (ATR) substrates identifies the ubiquitin-proteasome system as a regulator for DNA damage checkpoints.</title>
    <link>http://www.citeulike.org/user/jyuh/article/1857740</link>
    <description>&lt;i&gt;J Biol Chem, Vol. 282, No. 24. (15 June 2007), pp. 17330-17334.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;ATM (ataxia telangiectasia-mutated) and ATR (ATM-Rad3-related) are proximal checkpoint kinases that regulate DNA damage response (DDR). Identification and characterization of ATM/ATR substrates hold the keys for the understanding of DDR. Few techniques are available to identify protein kinase substrates. Here, we screened for potential ATM/ATR substrates using phospho-specific antibodies against known ATM/ATR substrates. We identified proteins cross-reacting to phospho-specific antibodies in response to DNA damage by mass spectrometry. We validated a subset of the candidate substrates to be phosphorylated in an ATM/ATR-dependent manner in vivo. Combining with a functional checkpoint screen, we identified proteins that belong to the ubiquitin-proteasome system (UPS) to be required in mammalian DNA damage checkpoint control, particularly the G(1) cell cycle checkpoint, thus revealing protein ubiquitylation as an important regulatory mechanism downstream of ATM/ATR activation for checkpoint control.</description>
    <dc:title>A proteomic analysis of ataxia telangiectasia-mutated (ATM)/ATM-Rad3-related (ATR) substrates identifies the ubiquitin-proteasome system as a regulator for DNA damage checkpoints.</dc:title>

    <dc:creator>JJ Mu</dc:creator>
    <dc:creator>Y Wang</dc:creator>
    <dc:creator>H Luo</dc:creator>
    <dc:creator>M Leng</dc:creator>
    <dc:creator>J Zhang</dc:creator>
    <dc:creator>T Yang</dc:creator>
    <dc:creator>D Besusso</dc:creator>
    <dc:creator>SY Jung</dc:creator>
    <dc:creator>J Qin</dc:creator>
    <dc:identifier>doi:10.1074/jbc.C700079200</dc:identifier>
    <dc:source>J Biol Chem, Vol. 282, No. 24. (15 June 2007), pp. 17330-17334.</dc:source>
    <dc:date>2007-11-02T23:25:53-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J Biol Chem</prism:publicationName>
    <prism:issn>0021-9258</prism:issn>
    <prism:volume>282</prism:volume>
    <prism:number>24</prism:number>
    <prism:startingPage>17330</prism:startingPage>
    <prism:endingPage>17334</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1716159">
    <title>Nanoparticle-based detection and quantification of DNA with single nucleotide polymorphism (SNP) discrimination selectivity</title>
    <link>http://www.citeulike.org/user/jyuh/article/1716159</link>
    <description>&lt;i&gt;Nucl. Acids Res., Vol. 35, No. 17. (27 September 2007), e111.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Sequence-specific DNA detection is important in various biomedical applications such as gene expression profiling, disease diagnosis and treatment, drug discovery and forensic analysis. Here we report a gold nanoparticle-based method that allows DNA detection and quantification and is capable of single nucleotide polymorphism (SNP) discrimination. The precise quantification of single-stranded DNA is due to the formation of defined nanoparticle-DNA conjugate groupings in the presence of target/linker DNA. Conjugate groupings were characterized and quantified by gel electrophoresis. A linear correlation between the amount of target DNA and conjugate groupings was found. For SNP detection, single base mismatch discrimination was achieved for both the end- and center-base mismatch. The method described here may be useful for the development of a simple and quantitative DNA detection assay. 10.1093/nar/gkm602</description>
    <dc:title>Nanoparticle-based detection and quantification of DNA with single nucleotide polymorphism (SNP) discrimination selectivity</dc:title>

    <dc:creator>Wei Qin</dc:creator>
    <dc:creator>Lin Yung</dc:creator>
    <dc:identifier>doi:10.1093/nar/gkm602</dc:identifier>
    <dc:source>Nucl. Acids Res., Vol. 35, No. 17. (27 September 2007), e111.</dc:source>
    <dc:date>2007-10-01T16:08:52-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Nucl. Acids Res.</prism:publicationName>
    <prism:volume>35</prism:volume>
    <prism:number>17</prism:number>
    <prism:startingPage>e111</prism:startingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1716041">
    <title>Targeted inhibition of HBV gene expression by single-chain antibody mediated small interfering RNA delivery.</title>
    <link>http://www.citeulike.org/user/jyuh/article/1716041</link>
    <description>&lt;i&gt;Hepatology, Vol. 46, No. 1. (July 2007), pp. 84-94.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;RNA interference is highly effective at inhibiting HBV gene expression and replication. However, before small interfering RNA (siRNA) can be used in the clinic, it is essential to develop a system to target their delivery. Antibody-mediated delivery is a novel approach for targeting siRNA to appropriate cells. In this report, we asked whether this siRNA delivery strategy would be effective against HBV. Of 5 candidates, a specific siRNA that effectively inhibited HBV gene expression and replication was determined. Two fusion proteins, s-tP and sCkappa-tP, were constructed to contain a single chain of the human variable fragment, scFv, against hepatitis B surface antigen (HBsAg), a truncated protamine (tP), and in the case of sCkappa-tP, a constant region of the kappa chain (Ckappa). S-tP and sCkappa-tP were developed to provide targeted delivery of the siRNA, siRNA expressing cassettes (SEC), and siRNA-producing plasmids. Fluorescein isothiocyanate-siRNA, fluorescein isothiocyanate-SEC, and plasmid DNA were specifically delivered into HBsAg-positive cells using the sCkappa-tP fusion protein, and effectively inhibited HBV gene expression and replication. HBV gene expression was also inhibited by siRNA or siRNA-producing plasmids in HBV transgenic mice. CONCLUSION: Our results describe a potential method for the targeted delivery of siRNA or siRNA-producing plasmids against HBV, using anti-HBsAg fusion proteins.</description>
    <dc:title>Targeted inhibition of HBV gene expression by single-chain antibody mediated small interfering RNA delivery.</dc:title>

    <dc:creator>WH Wen</dc:creator>
    <dc:creator>JY Liu</dc:creator>
    <dc:creator>WJ Qin</dc:creator>
    <dc:creator>J Zhao</dc:creator>
    <dc:creator>T Wang</dc:creator>
    <dc:creator>LT Jia</dc:creator>
    <dc:creator>YL Meng</dc:creator>
    <dc:creator>H Gao</dc:creator>
    <dc:creator>CF Xue</dc:creator>
    <dc:creator>BQ Jin</dc:creator>
    <dc:creator>LB Yao</dc:creator>
    <dc:creator>SY Chen</dc:creator>
    <dc:creator>AG Yang</dc:creator>
    <dc:identifier>doi:10.1002/hep.21663</dc:identifier>
    <dc:source>Hepatology, Vol. 46, No. 1. (July 2007), pp. 84-94.</dc:source>
    <dc:date>2007-10-01T15:32:19-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Hepatology</prism:publicationName>
    <prism:issn>0270-9139</prism:issn>
    <prism:volume>46</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>84</prism:startingPage>
    <prism:endingPage>94</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1610976">
    <title>Inhibition of phosphorylation of p38 MAPK involved in the protection of nephropathy by emodin in diabetic rats.</title>
    <link>http://www.citeulike.org/user/jyuh/article/1610976</link>
    <description>&lt;i&gt;Eur J Pharmacol, Vol. 553, No. 1-3. (28 December 2006), pp. 297-303.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;To explore the protection of emodin on renal dysfunction in the streptozotocin-induced diabetic rats with nephropathy and the role of p38 mitogen-activated protein kinase (p38 MAPK) signal transduction pathway in this protection. 30 male Spraque-Dawley rats were randomly divided into control group, model group and emodin group. The rats in the model group and emodin group were administered with streptozotocin (60 mg/kg) to induce diabetes. 40 mg/kg/day of emodin were orally given to the rats in emodin group. The rats in other groups were only given solvent. Biochemical index were analysed by oxidase and oxidase dynamical enzyme method. Glomerular area and volume were determined quantitatively by using Image Analysis System. Western blotting and immunohistochemical staining was used to detect the total p38 MAPK, phosphorylated p38 MAPK, phosphorylated cAMP response element binding protein (CREB) and fibronectin. The average kidney weight/body weight, glomerular area, glomerular volume and all biochemical indexes significantly increased in model group as compared to the control group (P&#60;0.05), while the average body weight decreased. The expressions of phosphorylaed p38 MAPK, phosphorylated CREB and fibronectin increased by 1.98-fold, 1.94-fold and 1.96-fold respectively in model group compared with those in the control group (P&#60;0.05). Emodin markedly decreased the average kidney weight/body weight, glomerular area, glomerular volume and all biochemical indexes (P&#60;0.05), having a weak action on the level of blood glucose. The expressions of phosphorylated p38 MAPK, phosphorylated CREB and fibronectin also significantly downregulated in emodin group compared with those in model group (P&#60;0.05). Emodin was efficient to ameliorate renal dysfunction in diabetic nephropathy rats probably by its inhibition of the activation of p38 MAPK pathway and downregulation of the expression of fibronectin.</description>
    <dc:title>Inhibition of phosphorylation of p38 MAPK involved in the protection of nephropathy by emodin in diabetic rats.</dc:title>

    <dc:creator>J Wang</dc:creator>
    <dc:creator>H Huang</dc:creator>
    <dc:creator>P Liu</dc:creator>
    <dc:creator>F Tang</dc:creator>
    <dc:creator>J Qin</dc:creator>
    <dc:creator>W Huang</dc:creator>
    <dc:creator>F Chen</dc:creator>
    <dc:creator>F Guo</dc:creator>
    <dc:creator>W Liu</dc:creator>
    <dc:creator>B Yang</dc:creator>
    <dc:identifier>doi:10.1016/j.ejphar.2006.08.087</dc:identifier>
    <dc:source>Eur J Pharmacol, Vol. 553, No. 1-3. (28 December 2006), pp. 297-303.</dc:source>
    <dc:date>2007-08-31T16:20:46-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Eur J Pharmacol</prism:publicationName>
    <prism:issn>0014-2999</prism:issn>
    <prism:volume>553</prism:volume>
    <prism:number>1-3</prism:number>
    <prism:startingPage>297</prism:startingPage>
    <prism:endingPage>303</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1606518">
    <title>Podocin Participates in the Assembly of Tight Junctions between Foot Processes in Nephrotic Podocytes.</title>
    <link>http://www.citeulike.org/user/jyuh/article/1606518</link>
    <description>&lt;i&gt;J Am Soc Nephrol, Vol. 18, No. 9. (September 2007), pp. 2525-2533.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The predominant type of cellular junction between normal podocyte foot processes is the slit diaphragm. Under nephrotic conditions,however, foot process effacement leads to the loss of slit diaphragms and the new formationof tight junctions composed of the proteins coxsackievirus and adenovirus receptor (CAR) and zonula occludens 1 (ZO-1). Podocin, a protein that plays a key role in maintaining the integrity of the slit diaphragm, has also been localized to these tight junctions, but its function at this site is unknown. In this study, we confirmed that podocin colocalizes with CAR and ZO-1 at the tight junction between foot processes in nephrotic rats. Using primary cultures of rat podocytes, as well as cell lines that co-expressed podocin and CAR, we observed that podocin was recruited to sites of cell-cell contact and that it co-localized with CAR and ZO-1. Immunoprecipitation suggested that these three junctional proteins from a multi-protein complex. Consistent with this, we found that podociin facilitated the coalescence of preassembled lipid rafts containing CAR and restricted their lateral mobility, the latter likely a result of dynamic actin reorganization and subsequent tethering of CAR-podocin complexes to the cytoskeleton. In conclusion, in addition to serving as a structural protein of the slit diaphragm of normal podocytes, our data suggest that podocin may also serve as a scaffold that links tight junction proteins to the actin cytoskeleton in nephrotic foot processes.</description>
    <dc:title>Podocin Participates in the Assembly of Tight Junctions between Foot Processes in Nephrotic Podocytes.</dc:title>

    <dc:creator>A Shono</dc:creator>
    <dc:creator>H Tsukaguchi</dc:creator>
    <dc:creator>E Yaoita</dc:creator>
    <dc:creator>M Nameta</dc:creator>
    <dc:creator>H Kurihara</dc:creator>
    <dc:creator>XS Qin</dc:creator>
    <dc:creator>T Yamamoto</dc:creator>
    <dc:creator>T Doi</dc:creator>
    <dc:identifier>doi:10.1681/ASN.2006101084</dc:identifier>
    <dc:source>J Am Soc Nephrol, Vol. 18, No. 9. (September 2007), pp. 2525-2533.</dc:source>
    <dc:date>2007-08-30T01:54:48-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>J Am Soc Nephrol</prism:publicationName>
    <prism:issn>1046-6673</prism:issn>
    <prism:volume>18</prism:volume>
    <prism:number>9</prism:number>
    <prism:startingPage>2525</prism:startingPage>
    <prism:endingPage>2533</prism:endingPage>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1573340">
    <title>CRCView: a web server for analyzing and visualizing microarray gene expression data using model-based clustering.</title>
    <link>http://www.citeulike.org/user/jyuh/article/1573340</link>
    <description>&lt;i&gt;Bioinformatics, Vol. 23, No. 14. (15 July 2007), pp. 1843-1845.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;CRCView is a user-friendly point-and-click web server for analyzing and visualizing microarray gene expression data using a Dirichlet process mixture model-based clustering algorithm. CRCView is designed to clustering genes based on their expression profiles. It allows flexible input data format, rich graphical illustration as well as integrated GO term based annotation/interpretation of clustering results. Availability: http://helab.bioinformatics.med.umich.edu/crcview/.</description>
    <dc:title>CRCView: a web server for analyzing and visualizing microarray gene expression data using model-based clustering.</dc:title>

    <dc:creator>Z Xiang</dc:creator>
    <dc:creator>ZS Qin</dc:creator>
    <dc:creator>Y He</dc:creator>
    <dc:source>Bioinformatics, Vol. 23, No. 14. (15 July 2007), pp. 1843-1845.</dc:source>
    <dc:date>2007-08-18T04:37:03-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Bioinformatics</prism:publicationName>
    <prism:issn>1460-2059</prism:issn>
    <prism:volume>23</prism:volume>
    <prism:number>14</prism:number>
    <prism:startingPage>1843</prism:startingPage>
    <prism:endingPage>1845</prism:endingPage>
    <prism:category>microarray</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/jyuh/article/1535046">
    <title>Rapamycin Prevents Early Steps of the Development of Diabetic Nephropathy in Rats.</title>
    <link>http://www.citeulike.org/user/jyuh/article/1535046</link>
    <description>&lt;i&gt;Am J Nephrol, Vol. 27, No. 5. (27 July 2007), pp. 495-502.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Background/Aims: Recent studies suggested the involvement of the Akt/mammalian target of rapamycin (mTOR) pathway in the pathogenesis of diabetic nephropathy. The effect of mTOR blockade by rapamycin in diabetic nephropathy was investigated, but in vivo study of rapamycin treatment in the course of early diabetes is still insufficient. This study was designed to determine the therapeutic effects of rapamycin on diabetic nephropathy at an early stage. Methods: Diabetes was induced in Sprague-Dawley rats with streptozotocin, and rapamycin (1 mg/kg) was administered by daily gavage for 4 weeks. Renal structural changes and some factors involved in the early pathogenesis of diabetic nephropathy were tested. The activation level of the Akt/mTOR pathway was also determined. Results: Rapamycin treatment reduced albuminuria, glomerular enlargement, glomerular basement membrane thickening, renal macrophage recruitment, and levels of renal mRNA expression of proliferating cell nuclear antigen, transforming growth factor-beta(1), vascular endothelial growth factor, and monocyte chemoattractant protein-1 without change in blood glucose level and blood pressure in experimental diabetic rats. In addition, treatment with rapamycin also down-regulated the enhanced levels of renal p-Akt, phospho-p70S6 kinase, and phospho-ribosomal S6 protein in diabetic rats. Conclusions: Rapamycin treatment can prevent the early renal structural changes of diabetes in experimental rats, and thus halt the early steps of the development of diabetic nephropathy. mTOR blockade might be beneficial for the treatment of diabetic nephropathy. Copyright (c) 2007 S. Karger AG, Basel.</description>
    <dc:title>Rapamycin Prevents Early Steps of the Development of Diabetic Nephropathy in Rats.</dc:title>

    <dc:creator>Yi Yang</dc:creator>
    <dc:creator>Jingjing Wang</dc:creator>
    <dc:creator>Ling Qin</dc:creator>
    <dc:creator>Zhangfei Shou</dc:creator>
    <dc:creator>Jie Zhao</dc:creator>
    <dc:creator>Huiping Wang</dc:creator>
    <dc:creator>Ying Chen</dc:creator>
    <dc:creator>Jianghua Chen</dc:creator>
    <dc:identifier>doi:10.1159/000106782</dc:identifier>
    <dc:source>Am J Nephrol, Vol. 27, No. 5. (27 July 2007), pp. 495-502.</dc:source>
    <dc:date>2007-08-04T15:38:24-00:00</dc:date>
    <prism:publicationYear>2007</prism:publicationYear>
    <prism:publicationName>Am J Nephrol</prism:publicationName>
    <prism:issn>1421-9670</prism:issn>
    <prism:volume>27</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>495</prism:startingPage>
    <prism:endingPage>502</prism:endingPage>
    <prism:category>dn</prism:category>
    <prism:category>rat</prism:category>
    <prism:category>tor</prism:category>
</item>



</rdf:RDF>

