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| $ for x in 000206244200003 000174038800007 000188997700136 000288081900013 000183571800002 000297154900052 000224524400014; do echo $x; RAILS_ENV=production bundle exec rake sw:wos_publication[$x] ; done | |
| 000206244200003 | |
| Unable to load RSpec. | |
| <?xml version="1.0"?> | |
| <ArrayOfPublicationItem xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | |
| <PublicationItem> | |
| <PublicationItemID>31250899</PublicationItemID> | |
| <Title>The FEATURE framework for protein function annotation: modelling new functions, improving performance, and extending to novel applications</Title> | |
| <Abstract>Structural genomics efforts contribute new protein structures that often lack significant sequence and fold similarity to known proteins. Traditional sequence and structure-based methods may not be sufficient to annotate the molecular functions of these structures. Techniques that combine structural and functional modeling can be valuable for functional annotation. FEATURE is a flexible framework for modeling and recognition of functional sites in macromolecular structures. Here, we present an overview of the main components of the FEATURE framework, and describe the recent developments in its use. These include automating training sets selection to increase functional coverage, coupling FEATURE to structural diversity generating methods such as molecular dynamics simulations and loop modeling methods to improve performance, and using FEATURE in large-scale modeling and structure determination efforts.</Abstract> | |
| <AuthorList>Halperin,Inbal,|Glazer,Dariya,S|Wu,Shirley,|Altman,Russ,BB</AuthorList> | |
| <AuthorCount>4</AuthorCount> | |
| <KeywordList/> | |
| <DocumentTypeList>Article</DocumentTypeList> | |
| <DocumentCategory>Journal Document</DocumentCategory> | |
| <NumberOfReferences>64</NumberOfReferences> | |
| <TimesCited>15</TimesCited> | |
| <TimesNotSelfCited>12</TimesNotSelfCited> | |
| <PMID xsi:nil="true"/> | |
| <WoSItemID>000206244200003</WoSItemID> | |
| <PublicationSourceTitle>BMC GENOMICS</PublicationSourceTitle> | |
| <Volume>9</Volume> | |
| <Pagination/> | |
| <PublicationDate>2008-01-01T00:00:00</PublicationDate> | |
| <PublicationYear>2008</PublicationYear> | |
| <PublicationType>Journal</PublicationType> | |
| <PublicationSubjectCategoryList>Biotechnology & Applied Microbiology|Genetics & Heredity</PublicationSubjectCategoryList> | |
| <ISSN>1471-2164</ISSN> | |
| <DOI>10.1186/1471-2164-9-S2-S2</DOI> | |
| <ConferenceStartDate xsi:nil="true"/> | |
| <ConferenceEndDate xsi:nil="true"/> | |
| <Rank xsi:nil="true"/> | |
| <OrdinalRank>0</OrdinalRank> | |
| <NormalizedRank xsi:nil="true"/> | |
| <NewPublicationItemID xsi:nil="true"/> | |
| <IsObsolete>false</IsObsolete> | |
| <CopyrightPublisher>BIOMED CENTRAL LTD</CopyrightPublisher> | |
| <CopyrightCity>LONDON</CopyrightCity> | |
| <ArticleNumber>S2</ArticleNumber> | |
| <PublicationImpactFactorList>3.926,2008,ExactPublicationYear|4.041,2013,MostRecentYear</PublicationImpactFactorList> | |
| <PublicationCategoryRankingList>24/144;BIOTECHNOLOGY & APPLIED MICROBIOLOGY;2008;SC;ExactPublicationYear|34/138;GENETICS & HEREDITY;2008;SC;ExactPublicationYear|29/165;BIOTECHNOLOGY & APPLIED MICROBIOLOGY;2013;SC;MostRecentYear|41/165;GENETICS & HEREDITY;2013;SC;MostRecentYear</PublicationCategoryRankingList> | |
| <AuthorCitationCountList>1,0,15|2,0,15|3,1,14|4,3,12</AuthorCitationCountList> | |
| <CopyrightStateProvince/> | |
| <CopyrightCountry>UNITED KINGDOM</CopyrightCountry> | |
| </PublicationItem> | |
| </ArrayOfPublicationItem> | |
| 000174038800007 | |
| Unable to load RSpec. | |
| <?xml version="1.0"?> | |
| <ArrayOfPublicationItem xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | |
| <PublicationItem> | |
| <PublicationItemID>3286107</PublicationItemID> | |
| <Title>Challenges for biomedical informatics and pharmacogenomics</Title> | |
| <Abstract>Pharmacogenomics requires the integration and analysis of genomic, molecular, cellular, and clinical data, and it thus offers a remarkable set of challenges to biomedical informatics. These include infrastructural challenges such as the creation of data models and databases for storing these data, the integration of these data with external databases, the extraction of information from natural language text, and the protection of databases with sensitive information. There are also scientific challenges in creating tools to support gene expression analysis, three-dimensional structural analysis, and comparative genomic analysis. In this review, we summarize the current uses of informatics within pharmacogenomics and show how the technical challenges that remain for biomedical informatics are typical of those that will be confronted in the postgenomic era.</Abstract> | |
| <AuthorList>Altman,R,B|Klein,T,E</AuthorList> | |
| <AuthorCount>2</AuthorCount> | |
| <KeywordList>POLYMORPHISM|SEQUENCES|ACCESSION NUMBERS|COMPARATIVE GENOMICS|DOCKING|SYSTEM|DATABASE|ONLINE MENDELIAN INHERITANCE|P450 SUPERFAMILY|MAN OMIM|pharmacogenetics|bioinformatics|databases|computation</KeywordList> | |
| <DocumentTypeList>Review</DocumentTypeList> | |
| <DocumentCategory>Journal Document</DocumentCategory> | |
| <NumberOfReferences>110</NumberOfReferences> | |
| <TimesCited>45</TimesCited> | |
| <TimesNotSelfCited>44</TimesNotSelfCited> | |
| <PMID>11807167</PMID> | |
| <WoSItemID>000174038800007</WoSItemID> | |
| <PublicationSourceTitle>ANNUAL REVIEW OF PHARMACOLOGY AND TOXICOLOGY</PublicationSourceTitle> | |
| <Volume>42</Volume> | |
| <Pagination>113-133</Pagination> | |
| <PublicationDate>2002-01-01T00:00:00</PublicationDate> | |
| <PublicationYear>2002</PublicationYear> | |
| <PublicationType>Journal</PublicationType> | |
| <PublicationSubjectCategoryList>Toxicology</PublicationSubjectCategoryList> | |
| <ISSN>0362-1642</ISSN> | |
| <ConferenceStartDate xsi:nil="true"/> | |
| <ConferenceEndDate xsi:nil="true"/> | |
| <Rank xsi:nil="true"/> | |
| <OrdinalRank>0</OrdinalRank> | |
| <NormalizedRank xsi:nil="true"/> | |
| <NewPublicationItemID xsi:nil="true"/> | |
| <IsObsolete>false</IsObsolete> | |
| <CopyrightPublisher>ANNUAL REVIEWS</CopyrightPublisher> | |
| <CopyrightCity>PALO ALTO</CopyrightCity> | |
| <PublicationImpactFactorList>19.678,2002,ExactPublicationYear|18.523,2013,MostRecentYear</PublicationImpactFactorList> | |
| <PublicationCategoryRankingList>2/188;PHARMACOLOGY & PHARMACY;2002;SC;ExactPublicationYear|1/76;TOXICOLOGY;2002;SC;ExactPublicationYear|3/256;PHARMACOLOGY & PHARMACY;2013;SC;MostRecentYear|1/87;TOXICOLOGY;2013;SC;MostRecentYear</PublicationCategoryRankingList> | |
| <AuthorCitationCountList>1,1,44|2,0,45</AuthorCitationCountList> | |
| <CopyrightStateProvince>CA</CopyrightStateProvince> | |
| <CopyrightCountry>UNITED STATES</CopyrightCountry> | |
| </PublicationItem> | |
| </ArrayOfPublicationItem> | |
| 000188997700136 | |
| Unable to load RSpec. | |
| <?xml version="1.0"?> | |
| <ArrayOfPublicationItem xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | |
| <PublicationItem> | |
| <PublicationItemID>36361923</PublicationItemID> | |
| <Title>Automatic construction of 3D structural motifs for protein function prediction</Title> | |
| <Abstract>Structural genomics initiatives are on the verge of generating a vast number of protein structures. The biological roles for many of these proteins are still unknown, and high-throughput methods for determining their function are necessary. Understanding the function of these proteins will have profound impact in drug development and protein engineering. Current methods for protein function prediction on structures require manual creation of structural motifs. Thus only few structural motifs are available. The lack of structural motifs limits the use of these methods for function prediction at a structural-genomics scale. To overcome this limitation, we describe a method for automatically creating a library of three dimensional structural motifs. Automatically generating a library of structural motifs can be used for structural-genomic scale function prediction on protein structures.</Abstract> | |
| <AuthorList>Liang,M,P|Brutlag,D,L|Altman,R,B</AuthorList> | |
| <AuthorCount>3</AuthorCount> | |
| <KeywordList>GENOMICS</KeywordList> | |
| <DocumentTypeList>Article</DocumentTypeList> | |
| <DocumentCategory>Journal Document</DocumentCategory> | |
| <NumberOfReferences>8</NumberOfReferences> | |
| <TimesCited>0</TimesCited> | |
| <TimesNotSelfCited>0</TimesNotSelfCited> | |
| <PMID xsi:nil="true"/> | |
| <WoSItemID>000188997700136</WoSItemID> | |
| <PublicationSourceTitle>PROCEEDINGS OF THE 2003 IEEE BIOINFORMATICS CONFERENCE</PublicationSourceTitle> | |
| <Pagination>613-614</Pagination> | |
| <PublicationDate>2003-01-01T00:00:00</PublicationDate> | |
| <PublicationYear>2003</PublicationYear> | |
| <PublicationType>Book</PublicationType> | |
| <PublicationSubjectCategoryList>Biology|Biotechnology & Applied Microbiology|Computer Science, Artificial Intelligence|Computer Science, Interdisciplinary Applications</PublicationSubjectCategoryList> | |
| <ISBN>0-7695-2000-6</ISBN> | |
| <ConferenceTitle>2nd International Computational Systems Bioinformatics Conference</ConferenceTitle> | |
| <ConferenceStartDate>2003-08-11T00:00:00</ConferenceStartDate> | |
| <ConferenceEndDate>2003-08-14T00:00:00</ConferenceEndDate> | |
| <ConferenceCity>STANFORD</ConferenceCity> | |
| <ConferenceStateCountry>CA</ConferenceStateCountry> | |
| <Rank xsi:nil="true"/> | |
| <OrdinalRank>0</OrdinalRank> | |
| <NormalizedRank xsi:nil="true"/> | |
| <NewPublicationItemID xsi:nil="true"/> | |
| <IsObsolete>false</IsObsolete> | |
| <CopyrightPublisher>IEEE COMPUTER SOC</CopyrightPublisher> | |
| <CopyrightCity>LOS ALAMITOS</CopyrightCity> | |
| <AuthorCitationCountList>1,0,0|2,0,0|3,0,0</AuthorCitationCountList> | |
| <CopyrightStateProvince>CA</CopyrightStateProvince> | |
| <CopyrightCountry>UNITED STATES</CopyrightCountry> | |
| </PublicationItem> | |
| </ArrayOfPublicationItem> | |
| 000288081900013 | |
| Unable to load RSpec. | |
| <?xml version="1.0"?> | |
| <ArrayOfPublicationItem xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | |
| <PublicationItem> | |
| <PublicationItemID>47505907</PublicationItemID> | |
| <Title>Affibody-Functionalized Gold-Silica Nanoparticles for Raman Molecular Imaging of the Epidermal Growth Factor Receptor</Title> | |
| <Abstract>The affibody functionalization of fluorescent surface-enhanced Raman scattering gold-silica nanoparticles as multimodal contrast agents for molecular imaging specific to epidermal growth factor receptor (EGFR) is reported. This nanoparticle bioconjugate reports EGFR-positive A431 tumors with a signal nearly 35-fold higher than EGFR-negative MDA-435S tumors. The low-level EGFR expression in adjacent healthy tissue is 7-fold lower than in the positive tumors. Validation via competitive inhibition reduces the signal by a factor of six, and independent measurement of EGFR via flow cytometry correlates at R-2 = 0.92.</Abstract> | |
| <AuthorList>Jokerst,Jesse,V|Miao,Zheng,|Zavaleta,Cristina,|Cheng,Zhen,|Gambhir,Sanjiv,S</AuthorList> | |
| <AuthorCount>5</AuthorCount> | |
| <KeywordList>COLORECTAL-CANCER|DNA|QUANTUM DOTS|SURFACE|SCATTERING|SPECTROSCOPY|COLONOSCOPY|ABERRANT CRYPT FOCI|TUMORS|FECAL OCCULT-BLOOD</KeywordList> | |
| <DocumentTypeList>Article</DocumentTypeList> | |
| <DocumentCategory>Journal Document</DocumentCategory> | |
| <NumberOfReferences>70</NumberOfReferences> | |
| <TimesCited>66</TimesCited> | |
| <TimesNotSelfCited>48</TimesNotSelfCited> | |
| <PMID>21302357</PMID> | |
| <WoSItemID>000288081900013</WoSItemID> | |
| <PublicationSourceTitle>SMALL</PublicationSourceTitle> | |
| <Volume>7</Volume> | |
| <Issue>5</Issue> | |
| <Pagination>625-633</Pagination> | |
| <PublicationDate>2011-03-07T00:00:00</PublicationDate> | |
| <PublicationYear>2011</PublicationYear> | |
| <PublicationType>Journal</PublicationType> | |
| <PublicationSubjectCategoryList>Chemistry, Multidisciplinary|Chemistry, Physical|Nanoscience & Nanotechnology|Materials Science, Multidisciplinary|Physics, Applied|Physics, Condensed Matter</PublicationSubjectCategoryList> | |
| <ISSN>1613-6810</ISSN> | |
| <DOI>10.1002/smll.201002291</DOI> | |
| <ConferenceStartDate xsi:nil="true"/> | |
| <ConferenceEndDate xsi:nil="true"/> | |
| <Rank xsi:nil="true"/> | |
| <OrdinalRank>0</OrdinalRank> | |
| <NormalizedRank xsi:nil="true"/> | |
| <NewPublicationItemID xsi:nil="true"/> | |
| <IsObsolete>false</IsObsolete> | |
| <CopyrightPublisher>WILEY-V C H VERLAG GMBH</CopyrightPublisher> | |
| <CopyrightCity>WEINHEIM</CopyrightCity> | |
| <PublicationImpactFactorList>8.349,2011,ExactPublicationYear|7.514,2013,MostRecentYear</PublicationImpactFactorList> | |
| <PublicationCategoryRankingList>13/149;CHEMISTRY, MULTIDISCIPLINARY;2011;SC;ExactPublicationYear|10/129;CHEMISTRY, PHYSICAL;2011;SC;ExactPublicationYear|7/66;NANOSCIENCE & NANOTECHNOLOGY;2011;SC;ExactPublicationYear|12/229;MATERIALS SCIENCE, MULTIDISCIPLINARY;2011;SC;ExactPublicationYear|7/124;PHYSICS, APPLIED;2011;SC;ExactPublicationYear|10/68;PHYSICS, CONDENSED MATTER;2011;SC;ExactPublicationYear|15/148;CHEMISTRY, MULTIDISCIPLINARY;2013;SC;MostRecentYear|16/136;CHEMISTRY, PHYSICAL;2013;SC;MostRecentYear|9/73;NANOSCIENCE & NANOTECHNOLOGY;2013;SC;MostRecentYear|17/251;MATERIALS SCIENCE, MULTIDISCIPLINARY;2013;SC;MostRecentYear|11/136;PHYSICS, APPLIED;2013;SC;MostRecentYear|10/67;PHYSICS, CONDENSED MATTER;2013;SC;MostRecentYear</PublicationCategoryRankingList> | |
| <AuthorCitationCountList>1,7,59|2,1,65|3,6,60|4,5,61|5,12,54</AuthorCitationCountList> | |
| <CopyrightStateProvince/> | |
| <CopyrightCountry>GERMANY</CopyrightCountry> | |
| </PublicationItem> | |
| </ArrayOfPublicationItem> | |
| 000183571800002 | |
| Unable to load RSpec. | |
| <?xml version="1.0"?> | |
| <ArrayOfPublicationItem xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | |
| <PublicationItem> | |
| <PublicationItemID>4844315</PublicationItemID> | |
| <Title>Genetic sequence data for pharmacogenomics</Title> | |
| <Abstract>Pharmacogenetics is the study of how variation in human genes leads to variation in response to drugs. Pharmacogenomics is the term applied to large-scale genomic approaches to pharmacogenetics, and it is currently characterized chiefly by the use of high-throughput DNA sequencing to identify sequence variations in pharmacologically important genes. Genes of interest for pharmacogenomics include genes involved in drug metabolism and transport, as well as genes that are drug targets. The past year has seen an increasing number of systematic surveys of genetic variation that establish reliable baseline measurements of sequence variation - at least in coding and promoter regions. These surveys form the basis for determination of population frequencies, genetic linkage studies and association studies relating genotype with drug response phenotypes of interest.</Abstract> | |
| <AuthorList>Altman,R,B</AuthorList> | |
| <AuthorCount>1</AuthorCount> | |
| <KeywordList>ALLELIC VARIANTS|FUNCTIONAL-CHARACTERIZATION|AFRICAN-AMERICANS/|PROMOTER|ALZHEIMERS-DISEASE|IDENTIFICATION|EUROPEAN-AMERICANS|POLYMORPHISMS|GENOMIC ORGANIZATION|EXPRESSION|single nucleotide polymorphisms|DNA sequence|pharmacogenetics|genomics|informatics</KeywordList> | |
| <DocumentTypeList>Review</DocumentTypeList> | |
| <DocumentCategory>Journal Document</DocumentCategory> | |
| <NumberOfReferences>47</NumberOfReferences> | |
| <TimesCited>2</TimesCited> | |
| <TimesNotSelfCited>2</TimesNotSelfCited> | |
| <PMID>12833660</PMID> | |
| <WoSItemID>000183571800002</WoSItemID> | |
| <PublicationSourceTitle>CURRENT OPINION IN DRUG DISCOVERY & DEVELOPMENT</PublicationSourceTitle> | |
| <Volume>6</Volume> | |
| <Issue>3</Issue> | |
| <Pagination>297-303</Pagination> | |
| <PublicationDate>2003-05-01T00:00:00</PublicationDate> | |
| <PublicationYear>2003</PublicationYear> | |
| <PublicationType>Journal</PublicationType> | |
| <PublicationSubjectCategoryList>Pharmacology & Pharmacy</PublicationSubjectCategoryList> | |
| <ISSN>1367-6733</ISSN> | |
| <ConferenceStartDate xsi:nil="true"/> | |
| <ConferenceEndDate xsi:nil="true"/> | |
| <Rank xsi:nil="true"/> | |
| <OrdinalRank>0</OrdinalRank> | |
| <NormalizedRank xsi:nil="true"/> | |
| <NewPublicationItemID xsi:nil="true"/> | |
| <IsObsolete>false</IsObsolete> | |
| <CopyrightPublisher>THOMSON REUTERS (SCIENTIFIC) LTD</CopyrightPublisher> | |
| <CopyrightCity>LONDON</CopyrightCity> | |
| <PublicationImpactFactorList>3.698,2004,ClosestToPublicationYear|5.121,2012,MostRecentYear</PublicationImpactFactorList> | |
| <PublicationCategoryRankingList>33/187;PHARMACOLOGY & PHARMACY;2004;SC;ClosestToPublicationYear|20/261;PHARMACOLOGY & PHARMACY;2012;SC;MostRecentYear</PublicationCategoryRankingList> | |
| <AuthorCitationCountList>1,0,2</AuthorCitationCountList> | |
| <CopyrightStateProvince/> | |
| <CopyrightCountry>UNITED KINGDOM</CopyrightCountry> | |
| </PublicationItem> | |
| </ArrayOfPublicationItem> | |
| 000297154900052 | |
| Unable to load RSpec. | |
| <?xml version="1.0"?> | |
| <ArrayOfPublicationItem xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | |
| <PublicationItem> | |
| <PublicationItemID>55043417</PublicationItemID> | |
| <Title>GLUT 5 Is Not Over-Expressed in Breast Cancer Cells and Patient Breast Cancer Tissues</Title> | |
| <Abstract>F18 2-Fluoro 2-deoxyglucose (FDG) has been the gold standard in positron emission tomography (PET) oncologic imaging since its introduction into the clinics several years ago. Seeking to complement FDG in the diagnosis of breast cancer using radio labeled fructose based analogs, we investigated the expression of the chief fructose transporter-GLUT 5 in breast cancer cells and human tissues. Our results indicate that GLUT 5 is not over-expressed in breast cancer tissues as assessed by an extensive immunohistochemistry study. RT-PCR studies showed that the GLUT 5 mRNA was present at minimal amounts in breast cancer cell lines. Further knocking down the expression of GLUT 5 in breast cancer cells using RNA interference did not affect the fructose uptake in these cell lines. Taken together these results are consistent with GLUT 5 not being essential for fructose uptake in breast cancer cells and tissues.</Abstract> | |
| <AuthorList>Gowrishankar,Gayatri,|Zitzmann-Kolbe,Sabine,|Junutula,Anitha,|Reeves,Robert,|Levi,Jelena,|Srinivasan,Ananth,|Bruus-Jensen,Kjerstin,|Cyr,John,|Dinkelborg,Ludger,|Gambhir,Sanjiv,S</AuthorList> | |
| <AuthorCount>10</AuthorCount> | |
| <KeywordList>GLUCOSE-TRANSPORTER|FAMILY|F-18-FDG|TUMORS|PET|PROLIFERATION|LUNG|FRUCTOSE TRANSPORTER</KeywordList> | |
| <DocumentTypeList>Article</DocumentTypeList> | |
| <DocumentCategory>Journal Document</DocumentCategory> | |
| <NumberOfReferences>25</NumberOfReferences> | |
| <TimesCited>8</TimesCited> | |
| <TimesNotSelfCited>8</TimesNotSelfCited> | |
| <PMID>22073218</PMID> | |
| <WoSItemID>000297154900052</WoSItemID> | |
| <PublicationSourceTitle>PLOS ONE</PublicationSourceTitle> | |
| <Volume>6</Volume> | |
| <Issue>11</Issue> | |
| <Pagination/> | |
| <PublicationDate>2011-11-02T00:00:00</PublicationDate> | |
| <PublicationYear>2011</PublicationYear> | |
| <PublicationType>Journal</PublicationType> | |
| <PublicationSubjectCategoryList>Multidisciplinary Sciences</PublicationSubjectCategoryList> | |
| <ISSN>1932-6203</ISSN> | |
| <DOI>10.1371/journal.pone.0026902</DOI> | |
| <ConferenceStartDate xsi:nil="true"/> | |
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| <Rank xsi:nil="true"/> | |
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| <CopyrightPublisher>PUBLIC LIBRARY SCIENCE</CopyrightPublisher> | |
| <CopyrightCity>SAN FRANCISCO</CopyrightCity> | |
| <ArticleNumber>e26902</ArticleNumber> | |
| <PublicationImpactFactorList>4.092,2011,ExactPublicationYear|3.534,2013,MostRecentYear</PublicationImpactFactorList> | |
| <PublicationCategoryRankingList>12/84;BIOLOGY;2011;SC;ExactPublicationYear|8/55;MULTIDISCIPLINARY SCIENCES;2013;SC;MostRecentYear</PublicationCategoryRankingList> | |
| <AuthorCitationCountList>1,0,8|2,0,8|3,0,8|4,0,8|5,0,8|6,0,8|7,0,8|8,0,8|9,0,8|10,0,8</AuthorCitationCountList> | |
| <CopyrightStateProvince>CA</CopyrightStateProvince> | |
| <CopyrightCountry>UNITED STATES</CopyrightCountry> | |
| </PublicationItem> | |
| </ArrayOfPublicationItem> | |
| 000224524400014 | |
| Unable to load RSpec. | |
| <?xml version="1.0"?> | |
| <ArrayOfPublicationItem xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | |
| <PublicationItem> | |
| <PublicationItemID>6258525</PublicationItemID> | |
| <Title>The mechanobiology of articular cartilage development and degeneration</Title> | |
| <Abstract>The development, maintenance, and destruction of cartilage are regulated by mechanical factors throughout life. Mechanical cues in the cartilage fetal endoskeleton influence the expression of genes that guide the processes of growth, vascular invasion, and ossification. Intermittent fluid pressure maintains the cartilage phenotype whereas mild tension (or shear) promotes growth and ossification. The articular cartilage thickness is determined by the position at which the subchondral growth front stabilizes. In mature joints, cartilage is thickest and healthiest where the contact pressure and cartilage fluid pressure are greatest. The depth-dependent histomorphology reflects the local fluid pressure, tensile strain, and fluid exudation. Osteoarthritis represents the final demise and loss of cartilage in the skeletal elements. The initiation and progression of osteoarthritis can follow many pathways and can be promoted by mechanical factors including: (1) reduced loading, which activates the subchondral growth front by reducing fluid pressure; (2) blunt impact, causing microdamage and activation of the subchondral growth front by local shear stress; (3) mechanical abnormalities that increase wear at the articulating surface; and (4) other mechanically related factors. Research should be directed at integrating our mechanical understanding of osteoarthritis pathogenesis and progression within the framework of cellular and molecular events throughout ontogeny.</Abstract> | |
| <AuthorList>Carter,D,R|Beaupre,G,S|Wong,M,|Smith,R,L|Andriacchi,T,P|Schurman,D,J</AuthorList> | |
| <AuthorCount>6</AuthorCount> | |
| <KeywordList>IN-VIVO|HYDROSTATIC-PRESSURE|PHYSICAL EXERCISE|MESSENGER-RNA|COLLAGEN|YOUNG-RABBITS|CONFINED COMPRESSION|INTERSTITIAL FLUID PRESSURIZATION|EXPRESSION|SUPERFICIAL ZONE PROTEIN</KeywordList> | |
| <DocumentTypeList>Article</DocumentTypeList> | |
| <DocumentCategory>Journal Document</DocumentCategory> | |
| <NumberOfReferences>54</NumberOfReferences> | |
| <TimesCited>77</TimesCited> | |
| <TimesNotSelfCited>71</TimesNotSelfCited> | |
| <PMID>15480079</PMID> | |
| <WoSItemID>000224524400014</WoSItemID> | |
| <PublicationSourceTitle>CLINICAL ORTHOPAEDICS AND RELATED RESEARCH</PublicationSourceTitle> | |
| <Issue>427</Issue> | |
| <Pagination>S69-S77</Pagination> | |
| <PublicationDate>2004-10-01T00:00:00</PublicationDate> | |
| <PublicationYear>2004</PublicationYear> | |
| <PublicationType>Journal</PublicationType> | |
| <PublicationSubjectCategoryList>Orthopedics|Surgery</PublicationSubjectCategoryList> | |
| <ISSN>0009-921X</ISSN> | |
| <DOI>10.1097/01.blo.0000144970.05107.7e</DOI> | |
| <ConferenceTitle>Carl T Brighton Annual Workshop</ConferenceTitle> | |
| <ConferenceStartDate>2004-11-14T00:00:00</ConferenceStartDate> | |
| <ConferenceEndDate>2004-11-14T00:00:00</ConferenceEndDate> | |
| <ConferenceCity>Tampa Bay</ConferenceCity> | |
| <ConferenceStateCountry>FL</ConferenceStateCountry> | |
| <Rank xsi:nil="true"/> | |
| <OrdinalRank>0</OrdinalRank> | |
| <NormalizedRank xsi:nil="true"/> | |
| <NewPublicationItemID xsi:nil="true"/> | |
| <IsObsolete>false</IsObsolete> | |
| <CopyrightPublisher>SPRINGER</CopyrightPublisher> | |
| <CopyrightCity>NEW YORK</CopyrightCity> | |
| <PublicationImpactFactorList>1.403,2004,ExactPublicationYear|2.882,2013,MostRecentYear</PublicationImpactFactorList> | |
| <PublicationCategoryRankingList>10/42;ORTHOPEDICS;2004;SC;ExactPublicationYear|47/139;SURGERY;2004;SC;ExactPublicationYear|8/67;ORTHOPEDICS;2013;SC;MostRecentYear|33/204;SURGERY;2013;SC;MostRecentYear</PublicationCategoryRankingList> | |
| <AuthorCitationCountList>1,3,74|2,0,77|3,0,77|4,1,76|5,2,75|6,0,77</AuthorCitationCountList> | |
| <CopyrightStateProvince>NY</CopyrightStateProvince> | |
| <CopyrightCountry>UNITED STATES</CopyrightCountry> | |
| </PublicationItem> | |
| </ArrayOfPublicationItem> |
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