Patterned Gene Expression in Drosophila Development

项目摘要 动物的发育和分化是通过基因表达的顺序激活进行的， 通过细胞分裂、差异发育和运动形成器官原基。我们的首要目标是 阐明了空间和遗传相互作用的复杂网络，这是正常过程的基础。 发展、疾病和进化。对这些相互作用的全面分析需要了解 生物体中蛋白质编码和非编码基因互补的基因表达谱。的 伯克利果蝇基因组计划（BDGP）建立了果蝇基因表达资源库 胚胎发育包含由整个坐骑决定的空间和时间表达模式 RNA原位杂交。这些模式使用标准化的受控解剖本体进行注释 并且以图案的标准化虚拟表示来呈现图像以促进本体论， 基于图像的搜索和分析。具体地说，我们建议生产器官系统和基因家族RNA 表达网络基于表达的空间模式，并将集合扩展到包括非编码 基因;由转录因子（TF）和选定TF的假定CRM驱动的表达测定模式 靶向基因并使用我们的计算图像分析工具分析表达。器官系统 我们的研究所产生的表达谱将为阐明胚胎发育提供基础信息。 果蝇的发育，并通过同源性，在其他真核生物，包括人类。大多数非- 特别是编码RNA仍然未知。由顺式调控区驱动的空间表达将提供 深入了解转录因子的发育作用。时空表达的整合 来自编码转录本、非编码转录本和CRM报告者的数据将促进发现 监管互动。这些研究旨在理解生命过程， 促进更好的人类健康基金会。

PROJECT SUMMARY Animal development and differentiation proceeds by the sequential activation of gene expression accompanied by cell division, differential development and movement to form organ primordia. Our primary goal is to elucidate the complex network of spatial and genetic interactions that underlies the processes of normal development, disease and evolution. A comprehensive analysis of these interactions requires knowledge of the gene expression profiles for the complement of protein-coding and non-coding genes in an organism. The Berkeley Drosophila Genome Project (BDGP) has established a gene expression resource for Drosophila embryonic development that contains spatial and temporal expression patterns determined from whole mount RNA in-situ hybridization. These patterns are annotated using a standardized controlled anatomical ontology and the images are presented in a standardized virtual representation of the patterns to facilitate ontology and image based search and analysis. Specifically we propose to produce organ system and gene family RNA expression networks based on spatial patterns of expression and expand the collection to include non-coding genes; assay patterns of expression driven by putative CRMs for transcription factors (TFs) and selected TF target genes and analyze the expression using our computational image analysis tools. The organ system expression profiles produced by our study will provide fundamental information for elucidating embryonic development in Drosophila and, by homology, in other eukaryotes, including humans. The roles of most non- coding RNAs in particular remain unknown. The spatial expression driven by cis-regulatory regions will provide insights into the developmental roles of the transcription factors. The integration of spatiotemporal expression data from coding transcripts, non-coding transcripts and CRM reporters will promote discovery of networks of regulatory interactions. These studies are directed toward the understanding of life processes and lay the foundation for promoting better human health.