Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
The freshwater planarian Schmidtea mediterranea is recognised as a valuable model for research into adult stem cells and regeneration. With the advent of the high-throughput sequencing technologies, it has become feasible to undertake detailed transcriptional analysis of its unique stem cell populat...
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description | The freshwater planarian Schmidtea mediterranea is recognised as a valuable model for research into adult stem cells and regeneration. With the advent of the high-throughput sequencing technologies, it has become feasible to undertake detailed transcriptional analysis of its unique stem cell population, the neoblasts. Nonetheless, a reliable reference for this type of studies is still lacking.
Taking advantage of digital gene expression (DGE) sequencing technology we compare all the available transcriptomes for S. mediterranea and improve their annotation. These results are accessible via web for the community of researchers. Using the quantitative nature of DGE, we describe the transcriptional profile of neoblasts and present 42 new neoblast genes, including several cancer-related genes and transcription factors. Furthermore, we describe in detail the Smed-meis-like gene and the three Nuclear Factor Y subunits Smed-nf-YA, Smed-nf-YB-2 and Smed-nf-YC.
DGE is a valuable tool for gene discovery, quantification and annotation. The application of DGE in S. mediterranea confirms the planarian stem cells or neoblasts as a complex population of pluripotent and multipotent cells regulated by a mixture of transcription factors and cancer-related genes. |
doi_str_mv | 10.1186/s12864-015-1533-1 |
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Taking advantage of digital gene expression (DGE) sequencing technology we compare all the available transcriptomes for S. mediterranea and improve their annotation. These results are accessible via web for the community of researchers. Using the quantitative nature of DGE, we describe the transcriptional profile of neoblasts and present 42 new neoblast genes, including several cancer-related genes and transcription factors. Furthermore, we describe in detail the Smed-meis-like gene and the three Nuclear Factor Y subunits Smed-nf-YA, Smed-nf-YB-2 and Smed-nf-YC.
DGE is a valuable tool for gene discovery, quantification and annotation. The application of DGE in S. mediterranea confirms the planarian stem cells or neoblasts as a complex population of pluripotent and multipotent cells regulated by a mixture of transcription factors and cancer-related genes.</description><identifier>ISSN: 1471-2164</identifier><identifier>EISSN: 1471-2164</identifier><identifier>DOI: 10.1186/s12864-015-1533-1</identifier><identifier>PMID: 25952370</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Analysis ; Animals ; CCAAT-Binding Factor - genetics ; Cèl·lules mare ; DNA binding proteins ; Expressió gènica ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation ; Genes, Helminth ; Genetic aspects ; Homeodomain Proteins - genetics ; Models, Animal ; Molecular Sequence Data ; Physiological aspects ; Planarians - cytology ; Planarians - genetics ; RNA sequencing ; RNA, Helminth - analysis ; Sequence Analysis, RNA - methods ; Stem cell research ; Stem cells ; Stem Cells - cytology ; Stem Cells - metabolism</subject><ispartof>BMC genomics, 2015-05, Vol.16 (1), p.361-361, Article 361</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>cc-by (c) Rodríguez-Esteban, G. et al., 2015 info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by/3.0/es">http://creativecommons.org/licenses/by/3.0/es</a></rights><rights>Rodríguez-Esteban et al.; licensee BioMed Central. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c612t-d141fb89aa8367e232c058ee8fdcfe6c9f2dd35ead2975703bc3c70836f4a6823</citedby><cites>FETCH-LOGICAL-c612t-d141fb89aa8367e232c058ee8fdcfe6c9f2dd35ead2975703bc3c70836f4a6823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494696/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494696/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,26974,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25952370$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rodríguez-Esteban, Gustavo</creatorcontrib><creatorcontrib>González-Sastre, Alejandro</creatorcontrib><creatorcontrib>Rojo-Laguna, José Ignacio</creatorcontrib><creatorcontrib>Saló, Emili</creatorcontrib><creatorcontrib>Abril, Josep F</creatorcontrib><title>Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea</title><title>BMC genomics</title><addtitle>BMC Genomics</addtitle><description>The freshwater planarian Schmidtea mediterranea is recognised as a valuable model for research into adult stem cells and regeneration. With the advent of the high-throughput sequencing technologies, it has become feasible to undertake detailed transcriptional analysis of its unique stem cell population, the neoblasts. Nonetheless, a reliable reference for this type of studies is still lacking.
Taking advantage of digital gene expression (DGE) sequencing technology we compare all the available transcriptomes for S. mediterranea and improve their annotation. These results are accessible via web for the community of researchers. Using the quantitative nature of DGE, we describe the transcriptional profile of neoblasts and present 42 new neoblast genes, including several cancer-related genes and transcription factors. Furthermore, we describe in detail the Smed-meis-like gene and the three Nuclear Factor Y subunits Smed-nf-YA, Smed-nf-YB-2 and Smed-nf-YC.
DGE is a valuable tool for gene discovery, quantification and annotation. The application of DGE in S. mediterranea confirms the planarian stem cells or neoblasts as a complex population of pluripotent and multipotent cells regulated by a mixture of transcription factors and cancer-related genes.</description><subject>Analysis</subject><subject>Animals</subject><subject>CCAAT-Binding Factor - genetics</subject><subject>Cèl·lules mare</subject><subject>DNA binding proteins</subject><subject>Expressió gènica</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation</subject><subject>Genes, Helminth</subject><subject>Genetic aspects</subject><subject>Homeodomain Proteins - genetics</subject><subject>Models, Animal</subject><subject>Molecular Sequence Data</subject><subject>Physiological aspects</subject><subject>Planarians - cytology</subject><subject>Planarians - genetics</subject><subject>RNA sequencing</subject><subject>RNA, Helminth - analysis</subject><subject>Sequence Analysis, RNA - methods</subject><subject>Stem cell research</subject><subject>Stem cells</subject><subject>Stem Cells - cytology</subject><subject>Stem Cells - metabolism</subject><issn>1471-2164</issn><issn>1471-2164</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>XX2</sourceid><recordid>eNptUt1qFDEYHUSxtfoA3kjAm3oxNT-TTOZGWGrVQlHo6nXIZr6Zjcwk0yRT6gP0vc247dIFCSFfknPO98MpircEnxEixcdIqBRViQkvCWesJM-KY1LVpKREVM-fxEfFqxh_Y0xqSfnL4ojyhlNW4-Pi_rPtbdID6sEBgrspQIzWO6SnKXhttsjfQkDjPCQ7DYCuv6_KNdygVieNIqSIkkctJDAJOfCbQceEUtAummCnlJWyttlq10NE1qG12Y62TaDRCK1NEDIU9OviRaeHCG8ezpPi15eLn-ffyqsfXy_PV1elEYSmsiUV6Tay0VoyUQNl1GAuAWTXmg6EaTratoyDbmlT8xqzjWGmxhncVVpIyk6KTzvdad7k_AZcLnVQU7CjDn-U11Yd_ji7Vb2_VVXVVKIRWYDsBEycjQpgIBid_hH3l2VTXFNFOZO8yZzTh6TB38wQkxptNDAMuXM_R0WEZLymkizy73fQXg-grOt8rsIscLXiFWGC74o4-w8qrxZGa7yDzub3A8KHA0LGJLhLvZ5jVJfr60PsY4fBxxig20-HYLW4Tu1cp7Lr1OI6RTLn3dOx7hmPNmN_Aate1DI</recordid><startdate>20150508</startdate><enddate>20150508</enddate><creator>Rodríguez-Esteban, Gustavo</creator><creator>González-Sastre, Alejandro</creator><creator>Rojo-Laguna, José Ignacio</creator><creator>Saló, Emili</creator><creator>Abril, Josep F</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><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>ISR</scope><scope>7X8</scope><scope>XX2</scope><scope>5PM</scope></search><sort><creationdate>20150508</creationdate><title>Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea</title><author>Rodríguez-Esteban, Gustavo ; González-Sastre, Alejandro ; Rojo-Laguna, José Ignacio ; Saló, Emili ; Abril, Josep F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c612t-d141fb89aa8367e232c058ee8fdcfe6c9f2dd35ead2975703bc3c70836f4a6823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Analysis</topic><topic>Animals</topic><topic>CCAAT-Binding Factor - genetics</topic><topic>Cèl·lules mare</topic><topic>DNA binding proteins</topic><topic>Expressió gènica</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation</topic><topic>Genes, Helminth</topic><topic>Genetic aspects</topic><topic>Homeodomain Proteins - genetics</topic><topic>Models, Animal</topic><topic>Molecular Sequence Data</topic><topic>Physiological aspects</topic><topic>Planarians - cytology</topic><topic>Planarians - genetics</topic><topic>RNA sequencing</topic><topic>RNA, Helminth - analysis</topic><topic>Sequence Analysis, RNA - methods</topic><topic>Stem cell research</topic><topic>Stem cells</topic><topic>Stem Cells - cytology</topic><topic>Stem Cells - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rodríguez-Esteban, Gustavo</creatorcontrib><creatorcontrib>González-Sastre, Alejandro</creatorcontrib><creatorcontrib>Rojo-Laguna, José Ignacio</creatorcontrib><creatorcontrib>Saló, Emili</creatorcontrib><creatorcontrib>Abril, Josep F</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>Recercat</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rodríguez-Esteban, Gustavo</au><au>González-Sastre, Alejandro</au><au>Rojo-Laguna, José Ignacio</au><au>Saló, Emili</au><au>Abril, Josep F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea</atitle><jtitle>BMC genomics</jtitle><addtitle>BMC Genomics</addtitle><date>2015-05-08</date><risdate>2015</risdate><volume>16</volume><issue>1</issue><spage>361</spage><epage>361</epage><pages>361-361</pages><artnum>361</artnum><issn>1471-2164</issn><eissn>1471-2164</eissn><abstract>The freshwater planarian Schmidtea mediterranea is recognised as a valuable model for research into adult stem cells and regeneration. With the advent of the high-throughput sequencing technologies, it has become feasible to undertake detailed transcriptional analysis of its unique stem cell population, the neoblasts. Nonetheless, a reliable reference for this type of studies is still lacking.
Taking advantage of digital gene expression (DGE) sequencing technology we compare all the available transcriptomes for S. mediterranea and improve their annotation. These results are accessible via web for the community of researchers. Using the quantitative nature of DGE, we describe the transcriptional profile of neoblasts and present 42 new neoblast genes, including several cancer-related genes and transcription factors. Furthermore, we describe in detail the Smed-meis-like gene and the three Nuclear Factor Y subunits Smed-nf-YA, Smed-nf-YB-2 and Smed-nf-YC.
DGE is a valuable tool for gene discovery, quantification and annotation. The application of DGE in S. mediterranea confirms the planarian stem cells or neoblasts as a complex population of pluripotent and multipotent cells regulated by a mixture of transcription factors and cancer-related genes.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>25952370</pmid><doi>10.1186/s12864-015-1533-1</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Animals CCAAT-Binding Factor - genetics Cèl·lules mare DNA binding proteins Expressió gènica Gene expression Gene Expression Profiling Gene Expression Regulation Genes, Helminth Genetic aspects Homeodomain Proteins - genetics Models, Animal Molecular Sequence Data Physiological aspects Planarians - cytology Planarians - genetics RNA sequencing RNA, Helminth - analysis Sequence Analysis, RNA - methods Stem cell research Stem cells Stem Cells - cytology Stem Cells - metabolism |
title | Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea |
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