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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：
8891749
负责人：
SUSAN E CELNIKER
金额：
$ 53.52万
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 2019-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8891749
关键词：
3&apos Untranslated Regions 5&apos Untranslated Regions Address Alzheimer&apos s Disease Animal Model Animals Atlases Binding Sites Biochemical Biological Assay Code Collection Complement Complex Complex Mixtures Computer Analysis Computing Methodologies Controlled Vocabulary Data Data Set Databases Deposition Development Developmental Biology Differentiation and Growth Disease Drosophila genome Drosophila genus Elements Embryo Embryonic Development Enhancers Eukaryota Event Evolution Exons Factor Analysis Foundations Gene Expression Gene Expression Profile Gene Expression Regulation Genes Genetic Genetic Transcription Genome Genomics Goals Health Human Image Image Analysis Imaging Device In Situ Hybridization Indium Individual Knowledge Life Link Malignant Neoplasms Maps Messenger RNA Methods Modeling Molecular Profiling Neurodegenerative Disorders Nucleic Acid Regulatory Sequences Ontology Organism Organogenesis Pattern Play Poly A Post-Transcriptional Regulation Process Protein Kinase Proteins RNA RNA Splicing RNA-Binding Proteins Regulator Genes Research Research Personnel Resources Role Sequence-Specific DNA Binding Protein Signaling Protein Spatial Distribution System Systems Biology Transcript Transgenic Organisms Translating Translational Regulation Untranslated RNA base bioimaging embryonic protein fly functional group gene function genetic regulatory protein human disease insight mRNA Expression network models novel promoter protein expression public health relevance research study spatiotemporal tool transcription factor transcription factor USF transcriptome sequencing virtual web site

项目摘要

DESCRIPTION (provided by applicant): In animals, development and differentiation proceeds by the sequential activation of gene expression. Our primary goal is to elucidate the complex network of 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 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 determined from whole mount RNA in-situ hybridization. These patterns are annotated using a standardized, controlled vocabulary based on an anatomical ontology and a standardized virtual representation of the patterns to facilitate image based search and analysis. This resource now includes embryonic expression patterns for all sequence-specific DNA-binding proteins or transcription factors (TFs) that control the processes of animal organogenesis. Specifically we propose to continue to collect RNA expression patterns for the remaining protein-coding genes, including newly identified genes, and expand the collection to include non-coding genes and alternative transcripts with likely embryonic expression; assay patterns of expression driven by putative CRMs for transcription factors (TFs) and analyze the expression using our newly developed computational image analysis tools; and finally compare TF RNA expression patterns to corresponding protein expression determined from GFP-tagged lines for all TFs. The gene expression data produced by our study will provide fundamental information for elucidating gene function in Drosophila and, by homology, in other eukaryotes, including humans. The roles of most non-coding RNAs in particular remain unknown. The functional analysis of regulatory regions will provide insights into the developmental roles of the transcription factors. The integration of transcript, protein and CRM spatiotemporal expression data 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.