Our long-term objective is to understand the complex network of genetic interactions that control gene expression underlying the processes of normal development, disease and evolution. 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, annotations of the patterns using a standardized, controlled vocabulary, based on an anatomical ontology and a standardized virtual representation of the patterns. We created tools to identify similar, partially overlapping or anti-correlated expression. Our database currently contains over 100,000 annotated images showing expression patterns generated using in-situ hybridization of staged whole-mounted embryos for approximately 60% (8500) of the protein-coding genes in the Drosophila genome. We propose to: (1) obtain expression patterns for as many of the remaining 40% of the protein-coding genes as possible, (2) develop fully automatic image acquisition with a motorized microscope and analysis pipeline to accelerate data collection and in preparation for high-throughput studies, (3) continue advancements and refinements to our virtual image representation and create web-tools and interfaces for the research community to conduct analysis with our dataset and uploaded images and (4) characterize and analyze expression patterns of conserved regulatory modules from transcription factors. The primary resource for generation of RNA probes is our Drosophila Gene Collection (DGC), which currently contains cDNA clones corresponding to 88% of the annotated genes. To capture expression patterns for genes that do not have a representative cDNA clone (12%), 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 13,831 protein-coding genes in Drosophila and will aid in elucidating the function of the homologous genes in other eukaryotes, including humans. Genome wide association studies have shown fundamental roles for regulatory regions and gene expression in human diseases. The functional analysis of regulatory regions will provide novel insights into the developmental roles of transcription factors. In addition, the integration of the gene expression data with regulatory and gene sequences will promote research to discover networks of regulatory interactions.

Public Health Relevance

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.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM076655-05
Application #
7983839
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Haynes, Susan R
Project Start
2006-09-01
Project End
2014-08-31
Budget Start
2010-09-01
Budget End
2011-08-31
Support Year
5
Fiscal Year
2010
Total Cost
$585,791
Indirect Cost
Name
Lawrence Berkeley National Laboratory
Department
Genetics
Type
Organized Research Units
DUNS #
078576738
City
Berkeley
State
CA
Country
United States
Zip Code
94720
Kudron, Michelle M; Victorsen, Alec; Gevirtzman, Louis et al. (2018) The ModERN Resource: Genome-Wide Binding Profiles for Hundreds of Drosophila and Caenorhabditis elegans Transcription Factors. Genetics 208:937-949
Booth, Benjamin W; McParland, Charles; Beattie, Keith et al. (2018) OpenHiCAMM: High-Content Screening Software for Complex Microscope Imaging Workflows. iScience 2:136-140
Wu, Siqi; Joseph, Antony; Hammonds, Ann S et al. (2016) Stability-driven nonnegative matrix factorization to interpret spatial gene expression and build local gene networks. Proc Natl Acad Sci U S A 113:4290-5
Stoiber, Marcus; Celniker, Susan; Cherbas, Lucy et al. (2016) Diverse Hormone Response Networks in 41 Independent Drosophila Cell Lines. G3 (Bethesda) 6:683-94
Brown, James B; Celniker, Susan E (2015) Lessons from modENCODE. Annu Rev Genomics Hum Genet 16:31-53
Gerstein, Mark B; Rozowsky, Joel; Yan, Koon-Kiu et al. (2014) Comparative analysis of the transcriptome across distant species. Nature 512:445-8
Brown, James B; Boley, Nathan; Eisman, Robert et al. (2014) Diversity and dynamics of the Drosophila transcriptome. Nature 512:393-9
Hammonds, Ann S; Bristow, Christopher A; Fisher, William W et al. (2013) Spatial expression of transcription factors in Drosophila embryonic organ development. Genome Biol 14:R140
Fisher, William W; Li, Jingyi Jessica; Hammonds, Ann S et al. (2012) DNA regions bound at low occupancy by transcription factors do not drive patterned reporter gene expression in Drosophila. Proc Natl Acad Sci U S A 109:21330-5
Thomas, Sean; Li, Xiao-Yong; Sabo, Peter J et al. (2011) Dynamic reprogramming of chromatin accessibility during Drosophila embryo development. Genome Biol 12:R43

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