Lee Tin-Lap, Li Yunmin, Alba Diana, Vong Queenie P, Wu Shao-Ming, Baxendale Vanessa, Rennert Owen M, Lau Yun-Fai Chris, Chan Wai-Yee
Section on Developmental Genomics, Laboratory of Clinical Genomics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
J Genet Genomics. 2009 Apr;36(4):215-27. doi: 10.1016/S1673-8527(08)60109-5.
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.
尽管已鉴定出对胚胎性腺发育至关重要的关键基因,如Sry,但对这一过程的基因组分类和染色体激活的鉴定仍了解不足。为了更好地理解性腺发育的基因调控,我们进行了基因表达系列分析(SAGE)以分析基因和新转录本,并分析了来自E10.5(胚胎第10.5天)、E11.5、E12.5、E13.5、E15.5和E17.5雄性胚胎性腺的平均152,000个标签。在六个性腺文库中总共鉴定出275,583个未映射到任何注释序列的非单标签,并且47,255个标签映射到24,975个注释序列,其中987个序列未被表征。利用无监督模式识别技术,我们建立了雄性性腺发育的分子分期。我们开发了算法来对SAGE数据进行聚类并将SAGE标签分配到相应的染色体位置,而不是提供静态描述性分析;这些数据以染色体图形格式显示。观察到从E10.5到E17.5全局基因组活性显著增加。基于已建立的具有发育障碍的小鼠模型,鉴定并验证了与发育过程相关的重要染色体区域。这些区域可能代表男性性腺发育障碍早期诊断的标志物以及潜在的治疗靶点。