10 results on '"Ann S. Hammonds"'
Search Results
2. OpenHiCAMM: High-Content Screening Software for Complex Microscope Imaging Workflows
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Benjamin W. Booth, Charles McParland, Keith Beattie, William W. Fisher, Ann S. Hammonds, Susan E. Celniker, and Erwin Frise
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Science - Abstract
Summary: High-content image acquisition is generally limited to cells grown in culture, requiring complex hardware and preset imaging modalities. Here we report an open source software package, OpenHiCAMM (Open Hi Content Acquisition for μManager), that provides a flexible framework for integration of generic microscope-associated robotics and image processing with sequential workflows. As an example, we imaged Drosophila embryos, detecting the embryos at low resolution, followed by re-imaging the detected embryos at high resolution, suitable for computational analysis and screening. The OpenHiCAMM package is easy to use and adapt for automating complex microscope image tasks. It expands our abilities for high-throughput image-based screens to a new range of biological samples, such as organoids, and will provide a foundation for bioimaging systems biology. : Optical Imaging; Technical Aspects of Cell Biology; Bioinformatics Subject Areas: Optical Imaging, Technical Aspects of Cell Biology, Bioinformatics
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- 2018
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3. Correction: Quantitative Analysis of the Segmentation Regulatory Network Using Pattern Generating Potentials.
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Majid Kazemian, Charles Blatti, Adam Richards, Michael McCutchan, Noriko Wakabayashi-Ito, Ann S. Hammonds, Susan E. Celniker, Sudhir Kumar, Scot A. Wolfe, Michael H. Brodsky, and Saurabh Sinha
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Biology (General) ,QH301-705.5 - Published
- 2013
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4. Systematic image‐driven analysis of the spatial Drosophila embryonic expression landscape
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Erwin Frise, Ann S Hammonds, and Susan E Celniker
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biological function ,embryo ,gene expression ,in situ hybridization ,Markov Random Field ,Biology (General) ,QH301-705.5 ,Medicine (General) ,R5-920 - Abstract
Abstract Discovery of temporal and spatial patterns of gene expression is essential for understanding the regulatory networks and development in multicellular organisms. We analyzed the images from our large‐scale spatial expression data set of early Drosophila embryonic development and present a comprehensive computational image analysis of the expression landscape. For this study, we created an innovative virtual representation of embryonic expression patterns using an elliptically shaped mesh grid that allows us to make quantitative comparisons of gene expression using a common frame of reference. Demonstrating the power of our approach, we used gene co‐expression to identify distinct expression domains in the early embryo; the result is surprisingly similar to the fate map determined using laser ablation. We also used a clustering strategy to find genes with similar patterns and developed new analysis tools to detect variation within consensus patterns, adjacent non‐overlapping patterns, and anti‐correlated patterns. Of the 1800 genes investigated, only half had previously assigned functions. The known genes suggest developmental roles for the clusters, and identification of related patterns predicts requirements for co‐occurring biological functions.
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- 2010
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5. Toll mediated infection response is altered by gravity and spaceflight in Drosophila.
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Katherine Taylor, Kurt Kleinhesselink, Michael D George, Rachel Morgan, Tangi Smallwood, Ann S Hammonds, Patrick M Fuller, Perot Saelao, Jeff Alley, Allen G Gibbs, Deborah K Hoshizaki, Laurence von Kalm, Charles A Fuller, Kathleen M Beckingham, and Deborah A Kimbrell
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Medicine ,Science - Abstract
Space travel presents unlimited opportunities for exploration and discovery, but requires better understanding of the biological consequences of long-term exposure to spaceflight. Immune function in particular is relevant for space travel. Human immune responses are weakened in space, with increased vulnerability to opportunistic infections and immune-related conditions. In addition, microorganisms can become more virulent in space, causing further challenges to health. To understand these issues better and to contribute to design of effective countermeasures, we used the Drosophila model of innate immunity to study immune responses in both hypergravity and spaceflight. Focusing on infections mediated through the conserved Toll and Imd signaling pathways, we found that hypergravity improves resistance to Toll-mediated fungal infections except in a known gravitaxis mutant of the yuri gagarin gene. These results led to the first spaceflight project on Drosophila immunity, in which flies that developed to adulthood in microgravity were assessed for immune responses by transcription profiling on return to Earth. Spaceflight alone altered transcription, producing activation of the heat shock stress system. Space flies subsequently infected by fungus failed to activate the Toll pathway. In contrast, bacterial infection produced normal activation of the Imd pathway. We speculate on possible linkage between functional Toll signaling and the heat shock chaperone system. Our major findings are that hypergravity and spaceflight have opposing effects, and that spaceflight produces stress-related transcriptional responses and results in a specific inability to mount a Toll-mediated infection response.
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- 2014
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6. The ModERN Resource: Genome-Wide Binding Profiles for Hundreds of Drosophila and Caenorhabditis elegans Transcription Factors
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LaDeana W. Hillier, Mitch Corson, Martha Wall, D. Vafeados, Alec Victorsen, Robert H. Waterston, Robert Terrell, William W. Fisher, Susan E. Celniker, David Steffen, Matt Kirkey, Ann S. Hammonds, Koon-Kiu Yan, Mark Gerstein, Haneen N. Ammouri, Swapna Samanta, Samantha Seabrook-Sturgis, Madhura Kadaba, Lijia Ma, Soo Park, Jeffery Gersch, Matt Szynkarek, Michelle M. Kudron, Mei Han, Valerie Reinke, Kevin P. White, Jennifer L. Moran, Timothy Durham, Louis Gevirtzman, Jinrui Xu, Jaeda Patton, and Nader Jameel
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0301 basic medicine ,Genetics ,ved/biology ,fungi ,ved/biology.organism_classification_rank.species ,Computational biology ,Biology ,ENCODE ,biology.organism_classification ,Genome ,03 medical and health sciences ,chemistry.chemical_compound ,030104 developmental biology ,0302 clinical medicine ,chemistry ,Drosophila melanogaster ,Model organism ,Gene ,Transcription factor ,030217 neurology & neurosurgery ,DNA ,Caenorhabditis elegans - Abstract
The model organism Encylopedia of Regulatory Elements (modERN) project was designed to generate genome-wide binding profiles for the majority of transcription... To develop a catalog of regulatory sites in two major model organisms, Drosophila melanogaster and Caenorhabditis elegans, the modERN (model organism Encyclopedia of Regulatory Networks) consortium has systematically assayed the binding sites of transcription factors (TFs). Combined with data produced by our predecessor, modENCODE (Model Organism ENCyclopedia Of DNA Elements), we now have data for 262 TFs identifying 1.23 M sites in the fly genome and 217 TFs identifying 0.67 M sites in the worm genome. Because sites from different TFs are often overlapping and tightly clustered, they fall into 91,011 and 59,150 regions in the fly and worm, respectively, and these binding sites span as little as 8.7 and 5.8 Mb in the two organisms. Clusters with large numbers of sites (so-called high occupancy target, or HOT regions) predominantly associate with broadly expressed genes, whereas clusters containing sites from just a few factors are associated with genes expressed in tissue-specific patterns. All of the strains expressing GFP-tagged TFs are available at the stock centers, and the chromatin immunoprecipitation sequencing data are available through the ENCODE Data Coordinating Center and also through a simple interface (http://epic.gs.washington.edu/modERN/) that facilitates rapid accessibility of processed data sets. These data will facilitate a vast number of scientific inquiries into the function of individual TFs in key developmental, metabolic, and defense and homeostatic regulatory pathways, as well as provide a broader perspective on how individual TFs work together in local networks and globally across the life spans of these two key model organisms.
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- 2018
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7. Quantitative analysis of the Drosophila segmentation regulatory network using pattern generating potentials.
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Majid Kazemian, Charles Blatti, Adam Richards, Michael McCutchan, Noriko Wakabayashi-Ito, Ann S Hammonds, Susan E Celniker, Sudhir Kumar, Scot A Wolfe, Michael H Brodsky, and Saurabh Sinha
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Biology (General) ,QH301-705.5 - Abstract
Cis-regulatory modules that drive precise spatial-temporal patterns of gene expression are central to the process of metazoan development. We describe a new computational strategy to annotate genomic sequences based on their "pattern generating potential" and to produce quantitative descriptions of transcriptional regulatory networks at the level of individual protein-module interactions. We use this approach to convert the qualitative understanding of interactions that regulate Drosophila segmentation into a network model in which a confidence value is associated with each transcription factor-module interaction. Sequence information from multiple Drosophila species is integrated with transcription factor binding specificities to determine conserved binding site frequencies across the genome. These binding site profiles are combined with transcription factor expression information to create a model to predict module activity patterns. This model is used to scan genomic sequences for the potential to generate all or part of the expression pattern of a nearby gene, obtained from available gene expression databases. Interactions between individual transcription factors and modules are inferred by a statistical method to quantify a factor's contribution to the module's pattern generating potential. We use these pattern generating potentials to systematically describe the location and function of known and novel cis-regulatory modules in the segmentation network, identifying many examples of modules predicted to have overlapping expression activities. Surprisingly, conserved transcription factor binding site frequencies were as effective as experimental measurements of occupancy in predicting module expression patterns or factor-module interactions. Thus, unlike previous module prediction methods, this method predicts not only the location of modules but also their spatial activity pattern and the factors that directly determine this pattern. As databases of transcription factor specificities and in vivo gene expression patterns grow, analysis of pattern generating potentials provides a general method to decode transcriptional regulatory sequences and networks.
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- 2010
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8. Comparative Analysis of the Transcriptome across Distant Species
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Gang Fang, LaDeana W. Hillier, Brenton R. Graveley, Ali Mortazavi, Norbert Perrimon, Nathan Boley, Jingyi Jessica Li, William C. Spencer, James B. Brown, Chau Huynh, Roger A. Hoskins, Mark Gerstein, Ann S. Hammonds, Sarah Djebali, Sonali Jha, Kenneth H. Wan, Cédric Howald, Raymond K. Auerbach, Chenghai Xue, Haiyan Huang, Jorg Drenkow, Elise A. Feingold, Julien Lagarde, Daifeng Wang, Dmitri D. Pervouchine, Thomas R. Gingeras, Guilin Wang, Peter Cherbas, Brent Ewing, Chao Di, Gary Saunders, Benjamin W. Booth, Joel Rozowsky, Yan Zhang, Anastasia Samsonova, Dionna M. Kasper, Cristina Sisu, Marcus H. Stoiber, Jiayu Wen, Michael O. Duff, Felix Schlesinger, Gennifer E. Merrihew, Sara Olson, Susan E. Celniker, Burak H. Alver, Chao Cheng, Gemma E. May, Alexandre Reymond, Carrie A. Davis, Alexander Dobin, Max E. Boeck, Roger P. Alexander, Michael J. Pazin, Peter J. Park, Adam Frankish, Lucy Cherbas, Zhi Lu, Kevin Y. Yip, Henry Zheng, Owen Thompson, Jing Leng, Kathie L. Watkins, Andrea Tanzer, Valerie Reinke, Rebecca McWhirter, Eric C. Lai, Steven E. Brenner, Robert H. Waterston, Koon-Kiu Yan, Masaomi Kato, Roderic Guigó, Huaien Wang, Kimberly Bell, Pnina Strasbourger, Baikang Pei, Jen Harrow, Long Hu, Chris Zaleski, Rabi Murad, Thomas C. Kaufman, Erik Ladewig, Robert R. Kitchen, Anurag Sethi, Kejia Wen, Guanjun Gao, Arif Harmanci, Megan Fastuca, Brian Oliver, Frank J. Slack, David M. Miller, Tim Hubbard, Garrett Robinson, Peter J. Good, Peter J. Bickel, Michael J. MacCoss, and Li Yang
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RNA, Untranslated ,Caenorhabditis elegans -- Embriologia ,Genome ,Transcriptome ,Histones ,0302 clinical medicine ,Models ,Cluster Analysis ,Developmental ,Drosòfila -- Genètica ,Promoter Regions, Genetic ,Genetics ,0303 health sciences ,Multidisciplinary ,biology ,Pupa ,Untranslated ,Gene Expression Regulation, Developmental ,Chromatin ,Molecular Sequence Annotation ,Drosophila melanogaster ,Larva ,Sequence Analysis ,Biotechnology ,animal structures ,General Science & Technology ,Computational biology ,ENCODE ,Article ,Promoter Regions ,03 medical and health sciences ,Genetic ,Regulació genètica ,Animals ,Humans ,Transcriptomics ,Caenorhabditis elegans ,030304 developmental biology ,Comparative genomics ,Models, Genetic ,Phylum ,Sequence Analysis, RNA ,Gene Expression Profiling ,fungi ,Human Genome ,biology.organism_classification ,Gene expression profiling ,Gene Expression Regulation ,RNA ,Generic health relevance ,030217 neurology & neurosurgery - Abstract
The transcriptome is the readout of the genome. Identifying common features in it across distant species can reveal fundamental principles. To this end, the ENCODE and modENCODE consortia have generated large amounts of matched RNA-sequencing data for human, worm and fly. Uniform processing and comprehensive annotation of these data allow comparison across metazoan phyla, extending beyond earlier within-phylum transcriptome comparisons and revealing ancient, conserved features1, 2, 3, 4, 5, 6. Specifically, we discover co-expression modules shared across animals, many of which are enriched in developmental genes. Moreover, we use expression patterns to align the stages in worm and fly development and find a novel pairing between worm embryo and fly pupae, in addition to the embryo-to-embryo and larvae-to-larvae pairings. Furthermore, we find that the extent of non-canonical, non-coding transcription is similar in each organism, per base pair. Finally, we find in all three organisms that the gene-expression levels, both coding and non-coding, can be quantitatively predicted from chromatin features at the promoter using a ‘universal model’ based on a single set of organism-independent parameters. In particular, this work was funded by a contract from the National Human Genome Research Institute modENCODE Project, contract U01 HG004271 and U54 HG006944, to S.E.C. (principal investigator) and P.C., T.R.G., R.A.H. and B.R.G. (co-principal investigators) with additional support from R01 GM076655 (S.E.C.) both under Department of Energy contract no. DE-AC02-05CH11231, and U54 HG007005 to B.R.G. J.B.B.’s work was supported by NHGRI K99 HG006698 and DOE DE-AC02-05CH11231. Work in P.J.B.’s group was supported by the modENCODE DAC sub award 5710003102, 1U01HG007031-01 and the ENCODE DAC 5U01HG004695-04. Work in M.B.G.’s group was supported by NIH grants HG007000 and HG007355. Work in Bloomington was supported in part by the Indiana METACyt Initiative of Indiana University, funded by an award from the Lilly Endowment, Inc. Work in E.C.L.’s group was supported by U01-HG004261 and RC2-HG005639. P.J.P. acknowledges support from the National Institutes of Health (grant no. U01HG004258). We thank the HAVANA team for providing annotation of the human reference genome, whose work is supported by National Institutes of Health (grant no. 5U54HG004555), the Wellcome Trust (grant no. WT098051). R.G. acknowledges support from the Spanish Ministry of Education (grant BIO2011-26205). We also acknowledge use of the Yale University Biomedical High Performance Computing Center. R.W.'s lab was supported by grant no. U01 HG 004263.
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- 2014
9. Mutational Analysis of Stubble-stubbloid Gene Structure and Function in Drosophila Leg and Bristle Morphogenesis
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James W. Fristrom and Ann S. Hammonds
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DNA Mutational Analysis ,Morphogenesis ,Investigations ,Biology ,medicine.disease_cause ,Bristle ,Animals, Genetically Modified ,Structure-Activity Relationship ,Genetics ,medicine ,Animals ,Drosophila Proteins ,Transgenes ,Cytoskeleton ,Actin ,Genes, Dominant ,Mutation ,Polymorphism, Genetic ,Hydrolysis ,Serine Endopeptidases ,Membrane Proteins ,Extremities ,Transmembrane protein ,Extracellular Matrix ,Imaginal disc ,Phenotype ,Drosophila ,Drosophila Protein - Abstract
The Stubble-stubbloid (Sb-sbd) gene is required for ecdysone-regulated epithelial morphogenesis of imaginal tissues during Drosophila metamorphosis. Mutations in Sb-sbd are associated with defects in apical cell shape changes critical for the evagination of the leg imaginal disc and with defects in assembly and extension of parallel actin bundles in growing mechanosensory bristles. The Sb-sbd gene encodes a type II transmembrane serine protease (TTSP). Here we use a Sb-sbd transgenic construct to rescue both bristle and leg morphogenesis defects in Sb-sbd mutations. Molecular characterization of Sb-sbd mutations and rescue experiments with wild-type and modified Sb-sbd transgenic constructs show that the protease domain is required for both leg and bristle functions. Truncated proteins that express the noncatalytic domains without the protease have dominant effects in bristles but not in legs. Leg morphogenesis, but not bristle growth, is sensitive to Sb-sbd overexpression. Antibody localization of the Sb-sbd protein shows apical expression in elongating legs. Sb-sbd protein is found in the base and shaft in budding bristles and then concentrates at the growing tip when bristles are elongating rapidly. We propose a model whereby Sb-sbd helps coordinate proteolytic modification of extracellular matrix attachments with cytoskeletal changes in both legs and bristles.
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- 2006
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10. Dynamic reprogramming of chromatin accessibility during Drosophila embryo development
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Ann S. Hammonds, Mark D. Biggin, William W. Fisher, Xiao Yong Li, John A. Stamatoyannopoulos, Sean Thomas, Theresa K. Canfield, Erika Giste, Richard Sandstrom, Susan E. Celniker, Peter J. Sabo, and Robert E. Thurman
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Chromatin Immunoprecipitation ,Genome, Insect ,Embryonic Development ,Biology ,Chromatin remodeling ,03 medical and health sciences ,0302 clinical medicine ,Animals ,Deoxyribonuclease I ,Drosophila Proteins ,Blastoderm ,Scaffold/matrix attachment region ,Promoter Regions, Genetic ,ChIA-PET ,030304 developmental biology ,Body Patterning ,Genetics ,0303 health sciences ,Research ,Gene Expression Regulation, Developmental ,Promoter ,Genomics ,Chromatin ,Cell biology ,Drosophila melanogaster ,Genetic Loci ,Female ,Developmental biology ,Chromatin immunoprecipitation ,030217 neurology & neurosurgery ,Developmental Biology ,Transcription Factors - Abstract
Background The development of complex organisms is believed to involve progressive restrictions in cellular fate. Understanding the scope and features of chromatin dynamics during embryogenesis, and identifying regulatory elements important for directing developmental processes remain key goals of developmental biology. Results We used in vivo DNaseI sensitivity to map the locations of regulatory elements, and explore the changing chromatin landscape during the first 11 hours of Drosophila embryonic development. We identified thousands of conserved, developmentally dynamic, distal DNaseI hypersensitive sites associated with spatial and temporal expression patterning of linked genes and with large regions of chromatin plasticity. We observed a nearly uniform balance between developmentally up- and down-regulated DNaseI hypersensitive sites. Analysis of promoter chromatin architecture revealed a novel role for classical core promoter sequence elements in directing temporally regulated chromatin remodeling. Another unexpected feature of the chromatin landscape was the presence of localized accessibility over many protein-coding regions, subsets of which were developmentally regulated or associated with the transcription of genes with prominent maternal RNA contributions in the blastoderm. Conclusions Our results provide a global view of the rich and dynamic chromatin landscape of early animal development, as well as novel insights into the organization of developmentally regulated chromatin features.
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