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Developmental staging of male murine embryonic gonad by SAGE analysis 被引量:1
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作者 Tin-Lap Lee Yunmin Li +6 位作者 Diana Alba Queenie R Vong Shao-Ming Wu Vanessa Baxendale Owen M. Rennert Yun-Fai Chris Lau Wai-Yee Chan 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2009年第4期215-227,共13页
Despite the identification of key genes such as Sry integral to embryonic gonadal development, the genomic classification and identification of chromosomal activation of this process is still poorly understood. To bet... Despite the identification of key genes such as Sry integral to embryonic gonadal development, the genomic classification and identification of chromosomal activation of this process is still poorly understood. To better understand the genetic regulation of gonadal development, we performed Serial Analysis of Gene Expression (SAGE) to profile the genes and novel transcripts, and an average of 152,000 tags from male embryonic gonads at E10.5 (embryonic day 10.5), E11.5, E12.5, E13.5, E15.5 and E17.5 were analyzed. A total of 275,583 non-singleton tags that do not map to any annotated sequence were identified in the six gonad libraries, and 47,255 tags were mapped to 24,975 annotated sequences, among which 987 sequences were uncharacterized. Utilizing an unsupervised pattern identification technique, we established molecular staging of male gonadal development. Rather than providing a static descriptive analysis, we developed algorithms to cluster the SAGE data and assign SAGE tags to a corresponding chromosomal position; these data are displayed in chromosome graphic format. A prominent increase in global genomic activity from E10.5 to E17.5 was observed. Important chromosomal regions related to the developmental processes were identified and validated based on established mouse models with developmental disorders. These regions may represent markers for early diagnosis for disorders of male gonad development as well as potential treatment targets. 展开更多
关键词 SAGE transcriptome male gonads gene tag novel transcripts cluster analysis chromosome transcription hotspot
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