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authorBonface2024-02-13 23:52:26 -0600
committerMunyoki Kilyungi2024-08-09 13:30:43 +0300
commitb2feda451ccfbeaed02dce9088d6dd228cf15861 (patch)
tree3dd2883524985114070a7770cd2e9f9bd7eb1848 /general/datasets/Ucla_bxhbxd_cartilage_v2
parentd029d5d7f8ead1f1de8d318045004a4a6f68f5fb (diff)
downloadgn-docs-b2feda451ccfbeaed02dce9088d6dd228cf15861.tar.gz
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+<p>&nbsp;</p>
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+<dl><br />
+ <br />
+ <br />
+ <br />
+ &nbsp;
+ <dd>&nbsp;</dd>
+ <dd>&nbsp;</dd>
+</dl>
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+<p>Summary of DatasetId 59, Name: UCLA BXD and BXH Cartilage</p>
+
+<p>​<a abstractlink="yes" alsec="jour" alterm="J Bone Miner Res." aria-expanded="false" aria-haspopup="true" href="https://www.ncbi.nlm.nih.gov/pubmed/20954177#" role="menuitem" title="Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.">J Bone Miner Res.</a>&nbsp;2011 Apr;26(4):747-60. doi: 10.1002/jbmr.271.</p>
+
+<p><b>Systems genetics analysis of mouse chondrocyte differentiation.</b></p>
+
+<p><a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Suwanwela%20J%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=20954177">Suwanwela J</a>,&nbsp;<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Farber%20CR%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=20954177">Farber CR</a>,&nbsp;<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Haung%20BL%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=20954177">Haung BL</a>,&nbsp;<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Song%20B%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=20954177">Song B</a>,&nbsp;<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Pan%20C%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=20954177">Pan C</a>,&nbsp;<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Lyons%20KM%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=20954177">Lyons KM</a>,&nbsp;<a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Lusis%20AJ%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=20954177">Lusis AJ</a></p>
+
+<p>One of the goals of systems genetics is the reconstruction of gene networks that underlie key processes in development and disease. To identify&nbsp;cartilage&nbsp;gene networks that play an important role in bone development, we used a systems genetics approach that integrated microarray gene expression profiles from&nbsp;cartilage&nbsp;and bone phenotypic data from two sets of recombinant inbred strains. Microarray profiles generated from isolated chondrocytes were used to generate weighted gene coexpression networks. This analysis resulted in the identification of subnetworks (modules) of coexpressed genes that then were examined for relationships with bone geometry and density. One module exhibited significant correlation with femur length (r&thinsp;=&thinsp;0.416), anteroposterior diameter (r&thinsp;=&thinsp;0.418), mediolateral diameter (r&thinsp;=&thinsp;0.576), and bone mineral density (r&thinsp;=&thinsp;0.475). Highly connected genes (n&thinsp;=&thinsp;28) from this and other modules were tested in vitro using prechondrocyte ATDC5 cells and RNA interference. Five of the 28 genes were found to play a role in chondrocyte differentiation. Two of these, Hspd1 and Cdkn1a, were known previously to function in chondrocyte development, whereas the other three, Bhlhb9, Cugbp1, and Spcs3, are novel genes. Our integrative analysis provided a systems-level view of&nbsp;cartilage&nbsp;development and identified genes that may be involved in bone development.</p>
+
+<p>PMID:20954177, &nbsp;PMCID:<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3179327/" ref="aid_type=pmcid">PMC3179327</a>, &nbsp;DOI:<a href="https://dx.doi.org/10.1002/jbmr.271" ref="aid_type=doi">10.1002/jbmr.271</a></p>