Patterned Gene Expression in Drosophila Development

项目总结 动物的发育和分化是通过伴随着基因表达的顺序激活来进行的 通过细胞分裂、分化发育和运动形成器官原基。我们的主要目标是 阐明空间和遗传相互作用的复杂网络，这是正常 发展、疾病和进化。对这些交互作用的全面分析需要了解 生物体中蛋白质编码基因和非编码基因互补的基因表达谱。这个 伯克利果蝇基因组计划(BDGP)建立了果蝇基因表达资源 胚胎发育，包含从整个坐骑确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 并且图像被呈现在图案的标准化虚拟表示中，以便于本体和 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。 基于表达的空间模式的表达网络，并扩展集合以包括非编码 基因.转录因子(TF)和选定转录因子(TF)的假定CRM驱动的表达的分析模式 目标基因并使用我们的计算图像分析工具分析表达。器官系统 我们的研究产生的表达谱将为阐明胚胎 果蝇的发育，以及其他真核生物的同源性，包括人类。大多数非政府组织的角色 尤其是编码RNA仍然是未知的。由顺式调控区域驱动的空间表达将提供 对转录因子的发育作用的洞察。时空表达的整合 来自编码记录、非编码记录和客户关系管理记者的数据将促进发现 监管互动。这些研究旨在了解生命过程，并为 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.