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MPSS profiling of embryonic gonad and primordial germ cells in chicken

DC Field Value Language
dc.contributor.author이운규-
dc.date.accessioned2014-12-21T17:17:16Z-
dc.date.available2014-12-21T17:17:16Z-
dc.date.issued2007-
dc.identifier.issn1094-8341-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/97304-
dc.description.abstractThe massively parallel signature sequencing (MPSS) provides a greater depth of coverage than expressed sequence tag scan or microarray and provides a comprehensive expression profile. We used the MPSS technology to uncover gene expression profiling in the early embryonic gonads and primordial germ cells (PGCs) in the chicken. Total numbers of sequenced signatures were 1,012,533 and 995,676 for the PGCs and gonad, respectively. Using a noise distribution model, we found that 1.67% of all signatures are expressed at a higher level in PCGs and 2.81% of all signatures are expressed at a higher level in the gonad. The MPSS data are presented via an interactive web interface available at http://snugenome.snu.ac.kr/MPSS. The MPSS data have been submitted to the Gene Expression Omnibus of the National Center for Biotechnology Information (accession number GSM137300 and GSM137301 for PGCs and gonad, respectively).-
dc.description.statementOfResponsibilityopen-
dc.format.extent253~259-
dc.relation.isPartOfPHYSIOLOGICAL GENOMICS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleMPSS profiling of embryonic gonad and primordial germ cells in chicken-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentMedical Research Center (임상의학연구센터)-
dc.contributor.googleauthorHeebal Kim-
dc.contributor.googleauthorTae Sub Park-
dc.contributor.googleauthorJae Yong Han-
dc.contributor.googleauthorJeong Mook Lim-
dc.contributor.googleauthorYeonkyung Kang-
dc.contributor.googleauthorJungrye Nam-
dc.contributor.googleauthorTae Min Kim-
dc.contributor.googleauthorSang Su Shin-
dc.contributor.googleauthorMi A Kim-
dc.contributor.googleauthorKyung Je Park-
dc.contributor.googleauthorSang Hyun Park-
dc.contributor.googleauthorSeon Duk Lee-
dc.contributor.googleauthorJin Gyoung Jung-
dc.contributor.googleauthorJi Hye Shin-
dc.contributor.googleauthorJin Nam Kim-
dc.contributor.googleauthorSunjin Moon-
dc.contributor.googleauthorWoon Kyu Lee-
dc.identifier.doi10.1152/physiolgenomics.00067.2006-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA02996-
dc.relation.journalcodeJ02526-
dc.identifier.eissn1531-2267-
dc.contributor.alternativeNameLee, Woon Kyu-
dc.contributor.affiliatedAuthorLee, Woon Kyu-
dc.rights.accessRightsfree-
dc.citation.volume29-
dc.citation.number3-
dc.citation.startPage253-
dc.citation.endPage259-
dc.identifier.bibliographicCitationPHYSIOLOGICAL GENOMICS, Vol.29(3) : 253-259, 2007-
Appears in Collections:
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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