Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation
Many infertile men are the victims of spermatogenesis disorder. However, conventional clinical test could not provide efficient information on the causes of spermatogenesis disorder and guide the doctor how to treat it. More effective diagnosis and treating methods could be developed if the key gene...
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description | Many infertile men are the victims of spermatogenesis disorder. However, conventional clinical test could not provide efficient information on the causes of spermatogenesis disorder and guide the doctor how to treat it. More effective diagnosis and treating methods could be developed if the key genes that regulate spermatogenesis were determined. Many works have been done on animal models, while there are few works on human beings due to the limited sample resources. In current work, testis tissues were obtained from 27 patients with obstructive azoospermia via surgery. The combination of Fluorescence Activated Cell Sorting and Magnetic Activated Cell Sorting was chosen as the efficient method to sort typical germ cells during spermatogenesis. RNA Sequencing was carried out to screen the change of transcriptomic profile of the germ cells during spermatogenesis. Differential expressed genes were clustered according to their expression patterns. Gene Ontology annotation, pathway analysis and Gene Set Enrichment Analysis were carried out on genes with specific expression patterns and the potential key genes such as
HOX
s,
JUN
,
SP1
and
TCF3
which were involved in the regulation of spermatogenesis, with the potential value serve as molecular tools for clinical purpose, were predicted. |
doi_str_mv | 10.1038/srep19069 |
format | Article |
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HOX
s,
JUN
,
SP1
and
TCF3
which were involved in the regulation of spermatogenesis, with the potential value serve as molecular tools for clinical purpose, were predicted.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep19069</identifier><identifier>PMID: 26753906</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>13/31 ; 38 ; 38/91 ; 45/77 ; 631/208/199 ; 631/337/2019 ; Animal models ; Flow Cytometry ; Gametes ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Gene Ontology ; Gene set enrichment analysis ; Genes ; Germ cells ; Humanities and Social Sciences ; Humans ; Immunohistochemistry ; Male ; multidisciplinary ; Reproducibility of Results ; Ribonucleic acid ; RNA ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Science ; Sequence Analysis, RNA ; Sp1 protein ; Spermatogenesis ; Spermatogenesis - genetics ; Spermatozoa - metabolism ; Surgery ; Transcription Factors - genetics ; Transcription Factors - metabolism ; Transcription, Genetic ; Transcriptome - genetics</subject><ispartof>Scientific reports, 2016-01, Vol.6 (1), p.19069-19069, Article 19069</ispartof><rights>The Author(s) 2016</rights><rights>Copyright Nature Publishing Group Jan 2016</rights><rights>Copyright © 2016, Macmillan Publishers Limited 2016 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-87f34f4173ea939ab104e6b666f8f5fea2986ee8d06410516f9825f8320c03903</citedby><cites>FETCH-LOGICAL-c504t-87f34f4173ea939ab104e6b666f8f5fea2986ee8d06410516f9825f8320c03903</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/PMC4750114/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750114/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26753906$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhu, Zijue</creatorcontrib><creatorcontrib>Li, Chong</creatorcontrib><creatorcontrib>Yang, Shi</creatorcontrib><creatorcontrib>Tian, Ruhui</creatorcontrib><creatorcontrib>Wang, Junlong</creatorcontrib><creatorcontrib>Yuan, Qingqing</creatorcontrib><creatorcontrib>Dong, Hui</creatorcontrib><creatorcontrib>He, Zuping</creatorcontrib><creatorcontrib>Wang, Shengyue</creatorcontrib><creatorcontrib>Li, Zheng</creatorcontrib><title>Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Many infertile men are the victims of spermatogenesis disorder. However, conventional clinical test could not provide efficient information on the causes of spermatogenesis disorder and guide the doctor how to treat it. More effective diagnosis and treating methods could be developed if the key genes that regulate spermatogenesis were determined. Many works have been done on animal models, while there are few works on human beings due to the limited sample resources. In current work, testis tissues were obtained from 27 patients with obstructive azoospermia via surgery. The combination of Fluorescence Activated Cell Sorting and Magnetic Activated Cell Sorting was chosen as the efficient method to sort typical germ cells during spermatogenesis. RNA Sequencing was carried out to screen the change of transcriptomic profile of the germ cells during spermatogenesis. Differential expressed genes were clustered according to their expression patterns. Gene Ontology annotation, pathway analysis and Gene Set Enrichment Analysis were carried out on genes with specific expression patterns and the potential key genes such as
HOX
s,
JUN
,
SP1
and
TCF3
which were involved in the regulation of spermatogenesis, with the potential value serve as molecular tools for clinical purpose, were predicted.</description><subject>13/31</subject><subject>38</subject><subject>38/91</subject><subject>45/77</subject><subject>631/208/199</subject><subject>631/337/2019</subject><subject>Animal models</subject><subject>Flow Cytometry</subject><subject>Gametes</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Developmental</subject><subject>Gene Ontology</subject><subject>Gene set enrichment analysis</subject><subject>Genes</subject><subject>Germ cells</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>Male</subject><subject>multidisciplinary</subject><subject>Reproducibility of Results</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Science</subject><subject>Sequence Analysis, RNA</subject><subject>Sp1 protein</subject><subject>Spermatogenesis</subject><subject>Spermatogenesis - genetics</subject><subject>Spermatozoa - metabolism</subject><subject>Surgery</subject><subject>Transcription Factors - genetics</subject><subject>Transcription Factors - metabolism</subject><subject>Transcription, Genetic</subject><subject>Transcriptome - genetics</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNplkU1vEzEQhi0EolXogT-ALHGBSin-Wu-aQyXUQlq1iArK2XI249TVrr3YXqQc-ed4mxIFsA-2Zp55PeMXoZeUnFDCm3cpwkAVkeoJOmREVHPGGXu6dz9ARyndk7IqpgRVz9EBk3XFS80h-nW-8aZ3bcLB4nwH-DYan9rohhx6wKsxOr_GF2NvPP42QOxNDmvwkFx6j28irFybJ2IqvQkZfHamw1ewwYuJwl9hPXbmAflsOsAL00Mu8SkbSzz4F-iZNV2Co8dzhr5_-nh7djG__rK4PPtwPW8rIvK8qS0XVtCag1FcmSUlAuRSSmkbW1kwTDUSoFkRKSipqLSqYZVtOCMtKbPyGTrd6g7jsodVW1qNptNDdL2JGx2M039nvLvT6_BTi7oilIoi8OZRIIYfI6Sse5da6DrjIYxJ01oSRWj55oK-_ge9D2P0ZTxNG6WI4LTsGXq7pdoYUrHR7pqhRE_e6p23hX213_2O_ONkAY63QBomyyDuPfmf2m8Lia8L</recordid><startdate>20160112</startdate><enddate>20160112</enddate><creator>Zhu, Zijue</creator><creator>Li, Chong</creator><creator>Yang, Shi</creator><creator>Tian, Ruhui</creator><creator>Wang, Junlong</creator><creator>Yuan, Qingqing</creator><creator>Dong, Hui</creator><creator>He, Zuping</creator><creator>Wang, Shengyue</creator><creator>Li, Zheng</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160112</creationdate><title>Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation</title><author>Zhu, Zijue ; Li, Chong ; Yang, Shi ; Tian, Ruhui ; Wang, Junlong ; Yuan, Qingqing ; Dong, Hui ; He, Zuping ; Wang, Shengyue ; Li, Zheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-87f34f4173ea939ab104e6b666f8f5fea2986ee8d06410516f9825f8320c03903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>13/31</topic><topic>38</topic><topic>38/91</topic><topic>45/77</topic><topic>631/208/199</topic><topic>631/337/2019</topic><topic>Animal models</topic><topic>Flow Cytometry</topic><topic>Gametes</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Developmental</topic><topic>Gene Ontology</topic><topic>Gene set enrichment analysis</topic><topic>Genes</topic><topic>Germ cells</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Immunohistochemistry</topic><topic>Male</topic><topic>multidisciplinary</topic><topic>Reproducibility of Results</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>Science</topic><topic>Sequence Analysis, RNA</topic><topic>Sp1 protein</topic><topic>Spermatogenesis</topic><topic>Spermatogenesis - genetics</topic><topic>Spermatozoa - metabolism</topic><topic>Surgery</topic><topic>Transcription Factors - genetics</topic><topic>Transcription Factors - metabolism</topic><topic>Transcription, Genetic</topic><topic>Transcriptome - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Zijue</creatorcontrib><creatorcontrib>Li, Chong</creatorcontrib><creatorcontrib>Yang, Shi</creatorcontrib><creatorcontrib>Tian, Ruhui</creatorcontrib><creatorcontrib>Wang, Junlong</creatorcontrib><creatorcontrib>Yuan, Qingqing</creatorcontrib><creatorcontrib>Dong, Hui</creatorcontrib><creatorcontrib>He, Zuping</creatorcontrib><creatorcontrib>Wang, Shengyue</creatorcontrib><creatorcontrib>Li, Zheng</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Zijue</au><au>Li, Chong</au><au>Yang, Shi</au><au>Tian, Ruhui</au><au>Wang, Junlong</au><au>Yuan, Qingqing</au><au>Dong, Hui</au><au>He, Zuping</au><au>Wang, Shengyue</au><au>Li, Zheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2016-01-12</date><risdate>2016</risdate><volume>6</volume><issue>1</issue><spage>19069</spage><epage>19069</epage><pages>19069-19069</pages><artnum>19069</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Many infertile men are the victims of spermatogenesis disorder. However, conventional clinical test could not provide efficient information on the causes of spermatogenesis disorder and guide the doctor how to treat it. More effective diagnosis and treating methods could be developed if the key genes that regulate spermatogenesis were determined. Many works have been done on animal models, while there are few works on human beings due to the limited sample resources. In current work, testis tissues were obtained from 27 patients with obstructive azoospermia via surgery. The combination of Fluorescence Activated Cell Sorting and Magnetic Activated Cell Sorting was chosen as the efficient method to sort typical germ cells during spermatogenesis. RNA Sequencing was carried out to screen the change of transcriptomic profile of the germ cells during spermatogenesis. Differential expressed genes were clustered according to their expression patterns. Gene Ontology annotation, pathway analysis and Gene Set Enrichment Analysis were carried out on genes with specific expression patterns and the potential key genes such as
HOX
s,
JUN
,
SP1
and
TCF3
which were involved in the regulation of spermatogenesis, with the potential value serve as molecular tools for clinical purpose, were predicted.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>26753906</pmid><doi>10.1038/srep19069</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 13/31 38 38/91 45/77 631/208/199 631/337/2019 Animal models Flow Cytometry Gametes Gene expression Gene Expression Profiling Gene Expression Regulation, Developmental Gene Ontology Gene set enrichment analysis Genes Germ cells Humanities and Social Sciences Humans Immunohistochemistry Male multidisciplinary Reproducibility of Results Ribonucleic acid RNA RNA, Messenger - genetics RNA, Messenger - metabolism Science Sequence Analysis, RNA Sp1 protein Spermatogenesis Spermatogenesis - genetics Spermatozoa - metabolism Surgery Transcription Factors - genetics Transcription Factors - metabolism Transcription, Genetic Transcriptome - genetics |
title | Dynamics of the Transcriptome during Human Spermatogenesis: Predicting the Potential Key Genes Regulating Male Gametes Generation |
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