<HashMap><database>BioModels</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002-biopax3.owl</Owl><Owl>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002-biopax2.owl</Owl><Svg>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002.svg</Svg><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002_urn.xml</Xml><Xml>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002_url.xml</Xml><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002.vcml</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002.xpp</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002.m</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002.sci</Other><Other>https://www.ebi.ac.uk/biomodels/model/download/MODEL1705170002?filename=MODEL1705170002.png</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><submitter>Carole Proctor</submitter><curationStatus>Non-curated</curationStatus><modellingApproach>ordinary differential equation model</modellingApproach><levelVersion>L2V4</levelVersion><full_dataset_link>https://www.ebi.ac.uk/biomodels/MODEL1705170002</full_dataset_link><publication_pubmed>29095952</publication_pubmed><isPrivate>false</isPrivate><repository>BioModels</repository><modelFormat>SBML</modelFormat><omics_type>Models</omics_type><tokenised_name>Proctor2017  Role of microRNAs in osteoarthritis (miR140 IL1 incoherent feed forward)</tokenised_name><publication_year>2017</publication_year><submissionId>MODEL1705170002</submissionId><publication_authors>Carole J Proctor, Graham R Smith</publication_authors><first_author>Carole J Proctor</first_author><publication>29095952,
                            The aim of this study was to show how computational models can be used to increase our understanding of the role of microRNAs in osteoarthritis (OA) using miR-140 as an example. Bioinformatics analysis and experimental results from the literature were used to create and calibrate models of gene regulatory networks in OA involving miR-140 along with key regulators such as NF-κB, SMAD3, and RUNX2. The individual models were created with the modelling standard, Systems Biology Markup Language, and integrated to examine the overall effect of miR-140 on cartilage homeostasis. Down-regulation of miR-140 may have either detrimental or protective effects for cartilage, indicating that the role of miR-140 is complex. Studies of individual networks in isolation may therefore lead to different conclusions. This indicated the need to combine the five chosen individual networks involving miR-140 into an integrated model. This model suggests that the overall effect of miR-140 is to change the response to an IL-1 stimulus from a prolonged increase in matrix degrading enzymes to a pulse-like response so that cartilage degradation is temporary. Our current model can easily be modified and extended as more experimental data become available about the role of miR-140 in OA. In addition, networks of other microRNAs that are important in OA could be incorporated. A fully integrated model could not only aid our understanding of the mechanisms of microRNAs in ageing cartilage but could also provide a useful tool to investigate the effect of potential interventions to prevent cartilage loss.. 11, 12.
                            Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, United Kingdom.</publication><submitter_mail>carole.proctor@ncl.ac.uk</submitter_mail><submitter_affiliation>Newcastle University</submitter_affiliation><pubmed_abstract>The aim of this study was to show how computational models can be used to increase our understanding of the role of microRNAs in osteoarthritis (OA) using miR-140 as an example. Bioinformatics analysis and experimental results from the literature were used to create and calibrate models of gene regulatory networks in OA involving miR-140 along with key regulators such as NF-κB, SMAD3, and RUNX2. The individual models were created with the modelling standard, Systems Biology Markup Language, and integrated to examine the overall effect of miR-140 on cartilage homeostasis. Down-regulation of miR-140 may have either detrimental or protective effects for cartilage, indicating that the role of miR-140 is complex. Studies of individual networks in isolation may therefore lead to different conclusions. This indicated the need to combine the five chosen individual networks involving miR-140 into an integrated model. This model suggests that the overall effect of miR-140 is to change the response to an IL-1 stimulus from a prolonged increase in matrix degrading enzymes to a pulse-like response so that cartilage degradation is temporary. Our current model can easily be modified and extended as more experimental data become available about the role of miR-140 in OA. In addition, networks of other microRNAs that are important in OA could be incorporated. A fully integrated model could not only aid our understanding of the mechanisms of microRNAs in ageing cartilage but could also provide a useful tool to investigate the effect of potential interventions to prevent cartilage loss.</pubmed_abstract><pubmed_title>Computer simulation models as a tool to investigate the role of microRNAs in osteoarthritis.</pubmed_title><pubmed_authors>Proctor Carole J CJ, Smith Graham R GR</pubmed_authors><name_synonyms>pri miRNA, RNA, miRNAs, Small Temporal, Arthritides, Micro, Arthritis, Temporal RNA, stRNA, Degenerative Arthritides, osteoarthrosis, Small Temporal RNA, OA, Primary MicroRNA, Primary, miRNA, Primary miRNA, hypertrophic arthritis, pri-miRNA, feed., Concept, Small, degenerative joint disease, Osteoarthrosis Deformans, Role Concept, Micro RNA, Roles, osteoarthrosis and allied disorder, Degenerative, Osteoarthritides, Degenerative joint disease, Role Concepts, IL1, IL1-ALPHA, Role, Arthrosis, Concepts, IL1F1, MicroRNA, Arthroses, pre-miRNA, 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    Proctor2017- Role of microRNAs in osteoarthritis (miR140-IL1 incoherent feed forward)

  This model is described in the article:
  
    Computer simulation models
    as a tool to investigate the role of microRNAs in
    osteoarthritis.
  
  Proctor CJ, Smith GR.
  PLoS ONE 2017; 12(11): e0187568
  Abstract:
  
    The aim of this study was to show how computational models
    can be used to increase our understanding of the role of
    microRNAs in osteoarthritis (OA) using miR-140 as an example.
    Bioinformatics analysis and experimental results from the
    literature were used to create and calibrate models of gene
    regulatory networks in OA involving miR-140 along with key
    regulators such as NF-?B, SMAD3, and RUNX2. The individual
    models were created with the modelling standard, Systems
    Biology Markup Language, and integrated to examine the overall
    effect of miR-140 on cartilage homeostasis. Down-regulation of
    miR-140 may have either detrimental or protective effects for
    cartilage, indicating that the role of miR-140 is complex.
    Studies of individual networks in isolation may therefore lead
    to different conclusions. This indicated the need to combine
    the five chosen individual networks involving miR-140 into an
    integrated model. This model suggests that the overall effect
    of miR-140 is to change the response to an IL-1 stimulus from a
    prolonged increase in matrix degrading enzymes to a pulse-like
    response so that cartilage degradation is temporary. Our
    current model can easily be modified and extended as more
    experimental data become available about the role of miR-140 in
    OA. In addition, networks of other microRNAs that are important
    in OA could be incorporated. A fully integrated model could not
    only aid our understanding of the mechanisms of microRNAs in
    ageing cartilage but could also provide a useful tool to
    investigate the effect of potential interventions to prevent
    cartilage loss.
  


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  To cite BioModels Database, please use: 
  Chelliah V et al. BioModels: ten-year
  anniversary. Nucl. Acids Res. 2015, 43(Database
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    </description><dates><last_modification>2017-11-06</last_modification><submission>2017-05-17</submission></dates><accession>MODEL1705170002</accession><cross_references><pubmed>29095952</pubmed></cross_references></HashMap>