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StemCellDB: The Human Pluripotent Stem Cell Database at the National Institutes of Health
Much of the excitement generated by induced pluripotent stem cell technology is concerned with the possibility of disease modeling as well as the potential for personalized cell therapy. However, to pursue this it is important to understand the ‘normal’ pluripotent state including its inherent varia...
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Published in: | Stem cell research 2013-01, Vol.10 (1), p.57-66 |
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container_title | Stem cell research |
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creator | Mallon, Barbara S. Chenoweth, Josh G. Johnson, Kory R. Hamilton, Rebecca S. Tesar, Paul J. Yavatkar, Amarendra S. Tyson, Leonard J. Park, Kyeyoon Chen, Kevin G. Fann, Yang C. McKay, Ronald D.G. |
description | Much of the excitement generated by induced pluripotent stem cell technology is concerned with the possibility of disease modeling as well as the potential for personalized cell therapy. However, to pursue this it is important to understand the ‘normal’ pluripotent state including its inherent variability. We have performed various molecular profiling assays for 21 hESC lines and 8 hiPSC lines to generate a comprehensive snapshot of the undifferentiated state of pluripotent stem cells. Analysis of the gene expression data revealed no iPSC-specific gene expression pattern in accordance with previous reports. We further compared cells, differentiated as embryoid bodies in 2 media proposed to initiate differentiation towards separate cell fates, as well as 20 adult tissues. From this analysis we have generated a gene list which defines pluripotency and establishes a baseline for the pluripotent state. Finally, we provide lists of genes enriched under both differentiation conditions which show the proposed bias toward independent cell fates.
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► We introduce StemCellDB, a database of molecular profiles for twenty one hESCs. ► Our search engine allows simple interrogation of gene expression levels. ► No gene expression pattern was found to be unique to either hESCs or hIPSCs. ► We present a gene list of pluripotency-associated genes. ► We show two differentiation media direct cells toward independent cell fates. |
doi_str_mv | 10.1016/j.scr.2012.09.002 |
format | article |
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► We introduce StemCellDB, a database of molecular profiles for twenty one hESCs. ► Our search engine allows simple interrogation of gene expression levels. ► No gene expression pattern was found to be unique to either hESCs or hIPSCs. ► We present a gene list of pluripotency-associated genes. ► We show two differentiation media direct cells toward independent cell fates.</description><identifier>ISSN: 1873-5061</identifier><identifier>EISSN: 1876-7753</identifier><identifier>DOI: 10.1016/j.scr.2012.09.002</identifier><identifier>PMID: 23117585</identifier><language>eng</language><publisher>England: Elsevier B.V</publisher><subject>Animals ; Cell fate ; Cell Line ; Databases, Factual ; Gene Expression Profiling ; Humans ; Mice ; National Institutes of Health (U.S.) ; Pluripotent Stem Cells - cytology ; Pluripotent Stem Cells - metabolism ; Principal Component Analysis ; United States</subject><ispartof>Stem cell research, 2013-01, Vol.10 (1), p.57-66</ispartof><rights>2012</rights><rights>Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c550t-45af4fd0563ccc2f9c57607a0ebec711a70cf22ab68a5c6009e67a3c3941f4e23</citedby><cites>FETCH-LOGICAL-c550t-45af4fd0563ccc2f9c57607a0ebec711a70cf22ab68a5c6009e67a3c3941f4e23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23117585$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mallon, Barbara S.</creatorcontrib><creatorcontrib>Chenoweth, Josh G.</creatorcontrib><creatorcontrib>Johnson, Kory R.</creatorcontrib><creatorcontrib>Hamilton, Rebecca S.</creatorcontrib><creatorcontrib>Tesar, Paul J.</creatorcontrib><creatorcontrib>Yavatkar, Amarendra S.</creatorcontrib><creatorcontrib>Tyson, Leonard J.</creatorcontrib><creatorcontrib>Park, Kyeyoon</creatorcontrib><creatorcontrib>Chen, Kevin G.</creatorcontrib><creatorcontrib>Fann, Yang C.</creatorcontrib><creatorcontrib>McKay, Ronald D.G.</creatorcontrib><title>StemCellDB: The Human Pluripotent Stem Cell Database at the National Institutes of Health</title><title>Stem cell research</title><addtitle>Stem Cell Res</addtitle><description>Much of the excitement generated by induced pluripotent stem cell technology is concerned with the possibility of disease modeling as well as the potential for personalized cell therapy. However, to pursue this it is important to understand the ‘normal’ pluripotent state including its inherent variability. We have performed various molecular profiling assays for 21 hESC lines and 8 hiPSC lines to generate a comprehensive snapshot of the undifferentiated state of pluripotent stem cells. Analysis of the gene expression data revealed no iPSC-specific gene expression pattern in accordance with previous reports. We further compared cells, differentiated as embryoid bodies in 2 media proposed to initiate differentiation towards separate cell fates, as well as 20 adult tissues. From this analysis we have generated a gene list which defines pluripotency and establishes a baseline for the pluripotent state. Finally, we provide lists of genes enriched under both differentiation conditions which show the proposed bias toward independent cell fates.
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► We introduce StemCellDB, a database of molecular profiles for twenty one hESCs. ► Our search engine allows simple interrogation of gene expression levels. ► No gene expression pattern was found to be unique to either hESCs or hIPSCs. ► We present a gene list of pluripotency-associated genes. ► We show two differentiation media direct cells toward independent cell fates.</description><subject>Animals</subject><subject>Cell fate</subject><subject>Cell Line</subject><subject>Databases, Factual</subject><subject>Gene Expression Profiling</subject><subject>Humans</subject><subject>Mice</subject><subject>National Institutes of Health (U.S.)</subject><subject>Pluripotent Stem Cells - cytology</subject><subject>Pluripotent Stem Cells - metabolism</subject><subject>Principal Component Analysis</subject><subject>United States</subject><issn>1873-5061</issn><issn>1876-7753</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkU1v1DAQhi0EoqXwA7ggH7kkjO04TkBCgi2wlSpAohw4WbPeCetVPra2U4l_j8OWCi5wGkvzzKMZv4w9FVAKEPWLfRldKCUIWUJbAsh77FQ0pi6M0er-r7cqNNTihD2KcQ-gW9nIh-xEKiGMbvQp-_Yl0bCivj9_-5Jf7Yiv5wFH_rmfgz9MicbEF4IvCD_HhBuMxDHxlNmPmPw0Ys8vxph8mhNFPnV8Tdin3WP2oMM-0pPbesa-vn93tVoXl58-XKzeXBZOa0hFpbGrui3oWjnnZNc6bWowCLQhZ4RAA66TEjd1g9rVAC3VBpVTbSW6iqQ6Y6-P3sO8GWjr8soBe3sIfsDww07o7d-d0e_s9-nGKt1CA5AFz28FYbqeKSY7-OjyvTjSNEcrNIBphAL1f1RW0LS6UotVHFEXphgDdXcbCbBLenZvc3p2Sc9Ca3N6eebZn6fcTfyOKwOvjgDlD73xFLLC0-ho6wO5ZLeT_4f-J7bfqtE</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Mallon, Barbara S.</creator><creator>Chenoweth, Josh G.</creator><creator>Johnson, Kory R.</creator><creator>Hamilton, Rebecca S.</creator><creator>Tesar, Paul J.</creator><creator>Yavatkar, Amarendra S.</creator><creator>Tyson, Leonard J.</creator><creator>Park, Kyeyoon</creator><creator>Chen, Kevin G.</creator><creator>Fann, Yang C.</creator><creator>McKay, Ronald D.G.</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>5PM</scope></search><sort><creationdate>20130101</creationdate><title>StemCellDB: The Human Pluripotent Stem Cell Database at the National Institutes of Health</title><author>Mallon, Barbara S. ; Chenoweth, Josh G. ; Johnson, Kory R. ; Hamilton, Rebecca S. ; Tesar, Paul J. ; Yavatkar, Amarendra S. ; Tyson, Leonard J. ; Park, Kyeyoon ; Chen, Kevin G. ; Fann, Yang C. ; McKay, Ronald D.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c550t-45af4fd0563ccc2f9c57607a0ebec711a70cf22ab68a5c6009e67a3c3941f4e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Animals</topic><topic>Cell fate</topic><topic>Cell Line</topic><topic>Databases, Factual</topic><topic>Gene Expression Profiling</topic><topic>Humans</topic><topic>Mice</topic><topic>National Institutes of Health (U.S.)</topic><topic>Pluripotent Stem Cells - cytology</topic><topic>Pluripotent Stem Cells - metabolism</topic><topic>Principal Component Analysis</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mallon, Barbara S.</creatorcontrib><creatorcontrib>Chenoweth, Josh G.</creatorcontrib><creatorcontrib>Johnson, Kory R.</creatorcontrib><creatorcontrib>Hamilton, Rebecca S.</creatorcontrib><creatorcontrib>Tesar, Paul J.</creatorcontrib><creatorcontrib>Yavatkar, Amarendra S.</creatorcontrib><creatorcontrib>Tyson, Leonard J.</creatorcontrib><creatorcontrib>Park, Kyeyoon</creatorcontrib><creatorcontrib>Chen, Kevin G.</creatorcontrib><creatorcontrib>Fann, Yang C.</creatorcontrib><creatorcontrib>McKay, Ronald D.G.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Stem cell research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mallon, Barbara S.</au><au>Chenoweth, Josh G.</au><au>Johnson, Kory R.</au><au>Hamilton, Rebecca S.</au><au>Tesar, Paul J.</au><au>Yavatkar, Amarendra S.</au><au>Tyson, Leonard J.</au><au>Park, Kyeyoon</au><au>Chen, Kevin G.</au><au>Fann, Yang C.</au><au>McKay, Ronald D.G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>StemCellDB: The Human Pluripotent Stem Cell Database at the National Institutes of Health</atitle><jtitle>Stem cell research</jtitle><addtitle>Stem Cell Res</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>10</volume><issue>1</issue><spage>57</spage><epage>66</epage><pages>57-66</pages><issn>1873-5061</issn><eissn>1876-7753</eissn><abstract>Much of the excitement generated by induced pluripotent stem cell technology is concerned with the possibility of disease modeling as well as the potential for personalized cell therapy. However, to pursue this it is important to understand the ‘normal’ pluripotent state including its inherent variability. We have performed various molecular profiling assays for 21 hESC lines and 8 hiPSC lines to generate a comprehensive snapshot of the undifferentiated state of pluripotent stem cells. Analysis of the gene expression data revealed no iPSC-specific gene expression pattern in accordance with previous reports. We further compared cells, differentiated as embryoid bodies in 2 media proposed to initiate differentiation towards separate cell fates, as well as 20 adult tissues. From this analysis we have generated a gene list which defines pluripotency and establishes a baseline for the pluripotent state. Finally, we provide lists of genes enriched under both differentiation conditions which show the proposed bias toward independent cell fates.
[Display omitted]
► We introduce StemCellDB, a database of molecular profiles for twenty one hESCs. ► Our search engine allows simple interrogation of gene expression levels. ► No gene expression pattern was found to be unique to either hESCs or hIPSCs. ► We present a gene list of pluripotency-associated genes. ► We show two differentiation media direct cells toward independent cell fates.</abstract><cop>England</cop><pub>Elsevier B.V</pub><pmid>23117585</pmid><doi>10.1016/j.scr.2012.09.002</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animals Cell fate Cell Line Databases, Factual Gene Expression Profiling Humans Mice National Institutes of Health (U.S.) Pluripotent Stem Cells - cytology Pluripotent Stem Cells - metabolism Principal Component Analysis United States |
title | StemCellDB: The Human Pluripotent Stem Cell Database at the National Institutes of Health |
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