Patterned Gene Expression in Drosophila Development

果蝇发育中的模式基因表达

基本信息

批准号：
7490571
负责人：
SUSAN E CELNIKER
金额：
$ 40.09万
依托单位：
UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-09-01 至 2010-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7490571
关键词：
Address Amino Acid Sequence Applications Grants Atlases Brain Budgets Candidate Disease Gene Code Collection Communities Complement Complementary DNA Complex Controlled Vocabulary Data Data Set Databases Development Differentiation and Growth Disease Drosophila genome Drosophila genus Drosophila melanogaster Embryo Embryonic Development Ensure Eukaryota Eukaryotic Cell Evolution Functional RNA Gene Expression Gene Expression Regulation Generations Genes Genetic Genome Homologous Gene Human Image Image Analysis In Situ In Situ Hybridization Individual Internet Label Maps Measurement Molecular Profiling Mus Ontology Organism Pattern Peptide Sequence Determination Polymerase Chain Reaction Process Protein Isoforms Proteins Protocols documentation RNA RNA Probes RNA Splicing Regulation Research Research Personnel Resources Signal Transduction Specificity Staging Surveys Techniques Time TimeLine Tissue Differentiation Tissues Transcript Vocabulary Work base computerized tools design human disease programs research study tool

项目摘要

DESCRIPTION (provided by applicant): Our long-term objective is to understand the complex network of genetic interactions that underlies the processes of normal development, disease and evolution. For this, we need to determine gene expression profiles for the full complement of genes in an organism. At the Berkeley Drosophila Genome Project (BDGP), we have established a gene expression resource for Drosophila development that contains spatial and temporal embryonic expression patterns as well as annotations of the patterns using a standardized, controlled vocabulary, based on Gene Ontology (GO). Our database currently contains 75,000 annotated images showing expression patterns generated using in-situ hybridization of staged whole-mounted embryos for approximately 45% (6,000) of the protein-coding genes in the Drosophila genome. The spatial expression data are integrated with our developmental microarray data. We propose to extend these studies to: (1) the remaining 55% of the protein-coding genes, (2) alternatively-spliced transcripts, and (3) non-coding RNA candidate genes The primary resource for generation of RNA probes is our Drosophila Gene Collection (DGC) which currently contains cDNA clones corresponding to 80% of the annotated genes. To capture expression patterns for genes that do not have a representative cDNA clone (20%), we used gene-specific PCR products to generate RNA probes in 96-well format. The gene expression data produced by our study will provide fundamental information for elaborating the function of the 13,664 genes in Drosophila and will aid in elucidating the function of the homologous genes in other eukaryotes, including humans. In addition, the integration of the gene expression data with gene, transcript and protein sequences will promote research to discover networks of regulatory interactions. Using the standardized vocabulary allows cross-species descriptions of gene expression and tissue differentiation. Elucidating the mechanisms responsible for genome-wide gene expression and regulation in Drosophila development will aid in understanding normal growth and differentiation of tissues in humans, prerequisites for understanding human disease.

描述（由申请人提供）：我们的长期目标是了解正常发育、疾病和进化过程背后的复杂的遗传相互作用网络。为此，我们需要确定生物体中全部基因的基因表达谱。在伯克利果蝇基因组计划 (BDGP)，我们建立了果蝇发育的基因表达资源，其中包含空间和时间胚胎表达模式以及基于基因本体 (GO) 使用标准化、受控词汇的模式注释。我们的数据库目前包含 75,000 张带注释的图像，显示果蝇基因组中约 45% (6,000) 的蛋白质编码基因通过分阶段整体胚胎原位杂交生成的表达模式。空间表达数据与我们的发育微阵列数据整合。我们建议将这些研究扩展到：(1) 剩余 55% 的蛋白质编码基因，(2) 选择性剪接转录本，以及 (3) 非编码 RNA 候选基因生成 RNA 探针的主要资源是我们的果蝇基因库 (DGC) 目前包含与 80% 注释基因相对应的 cDNA 克隆。为了捕获没有代表性 cDNA 克隆 (20%) 的基因的表达模式，我们使用基因特异性 PCR 产物生成 96 孔格式的 RNA 探针。我们的研究产生的基因表达数据将为阐述果蝇中 13,664 个基因的功能提供基础信息，并将有助于阐明包括人类在内的其他真核生物中同源基因的功能。此外，基因表达数据与基因、转录本和蛋白质序列的整合将促进发现调控相互作用网络的研究。使用标准化词汇可以对基因表达和组织分化进行跨物种描述。阐明果蝇发育中全基因组基因表达和调控的机制将有助于了解人类组织的正常生长和分化，这是了解人类疾病的先决条件。