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      Effects of Gene Dose, Chromatin, and Network Topology on Expression in Drosophila melanogaster

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          Abstract

          Deletions, commonly referred to as deficiencies by Drosophila geneticists, are valuable tools for mapping genes and for genetic pathway discovery via dose-dependent suppressor and enhancer screens. More recently, it has become clear that deviations from normal gene dosage are associated with multiple disorders in a range of species including humans. While we are beginning to understand some of the transcriptional effects brought about by gene dosage changes and the chromosome rearrangement breakpoints associated with them, much of this work relies on isolated examples. We have systematically examined deficiencies of the left arm of chromosome 2 and characterize gene-by-gene dosage responses that vary from collapsed expression through modest partial dosage compensation to full or even over compensation. We found negligible long-range effects of creating novel chromosome domains at deletion breakpoints, suggesting that cases of gene regulation due to altered nuclear architecture are rare. These rare cases include trans de-repression when deficiencies delete chromatin characterized as repressive in other studies. Generally, effects of breakpoints on expression are promoter proximal (~100bp) or in the gene body. Effects of deficiencies genome-wide are in genes with regulatory relationships to genes within the deleted segments, highlighting the subtle expression network defects in these sensitized genetic backgrounds.

          Author Summary

          Deletions alter gene dose in heterozygotes and bring distant regions of the genome into juxtaposition. We find that the transcriptional dose response is generally varied, gene-specific and coherently propagates into gene expression regulatory networks. Analysis of expression profiles of deletion heterozygotes indicates that distinct genetic pathways are weakened in adult flies bearing different deletions, even-though they show minimal or no overt phenotypes. While there are exceptions, breakpoints have a minimal effect on gene expression of flanking genes, despite the fact that different regions of the genome are brought into contact and that important elements such as insulators are deleted. These data suggest that there is little effect of nuclear architecture and long-range enhancer and/or silencer promoter contact on gene expression in the compact Drosophila genome.

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          Most cited references73

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          Using FlyAtlas to identify better Drosophila melanogaster models of human disease.

          FlyAtlas, a new online resource, provides the most comprehensive view yet of expression in multiple tissues of Drosophila melanogaster. Meta-analysis of the data shows that a significant fraction of the genome is expressed with great tissue specificity in the adult, demonstrating the need for the functional genomic community to embrace a wide range of functional phenotypes. Well-known developmental genes are often reused in surprising tissues in the adult, suggesting new functions. The homologs of many human genetic disease loci show selective expression in the Drosophila tissues analogous to the affected human tissues, providing a useful filter for potential candidate genes. Additionally, the contributions of each tissue to the whole-fly array signal can be calculated, demonstrating the limitations of whole-organism approaches to functional genomics and allowing modeling of a simple tissue fractionation procedure that should improve detection of weak or tissue-specific signals.
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            Genome-wide midrange transcription profiles reveal expression level relationships in human tissue specification.

            Genes are often characterized dichotomously as either housekeeping or single-tissue specific. We conjectured that crucial functional information resides in genes with midrange profiles of expression. To obtain such novel information genome-wide, we have determined the mRNA expression levels for one of the largest hitherto analyzed set of 62 839 probesets in 12 representative normal human tissues. Indeed, when using a newly defined graded tissue specificity index tau, valued between 0 for housekeeping genes and 1 for tissue-specific genes, genes with midrange profiles having 0.15 50% of all expression patterns. We developed a binary classification, indicating for every gene the I(B) tissues in which it is overly expressed, and the 12-I(B) tissues in which it shows low expression. The 85 dominant midrange patterns with I(B)=2-11 were found to be bimodally distributed, and to contribute most significantly to the definition of tissue specification dendrograms. Our analyses provide a novel route to infer expression profiles for presumed ancestral nodes in the tissue dendrogram. Such definition has uncovered an unsuspected correlation, whereby de novo enhancement and diminution of gene expression go hand in hand. These findings highlight the importance of gene suppression events, with implications to the course of tissue specification in ontogeny and phylogeny. All data and analyses are publically available at the GeneNote website, http://genecards.weizmann.ac.il/genenote/ and, GEO accession GSE803. doron.lancet@weizmann.ac.il Four tables available at the above site.
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              Identification of functional elements and regulatory circuits by Drosophila modENCODE.

              To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                6 September 2016
                September 2016
                : 12
                : 9
                : e1006295
                Affiliations
                [1 ]Section of Developmental Genomics, Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Kidney and Digestive Diseases, National Institutes of Health, Bethesda, Maryland, United States of America
                [2 ]Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
                [3 ]Department of Biology, Indiana University, Bloomington, Indiana, United States of America
                [4 ]Department of Genetics and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, United Kingdom
                Stanford University School of Medicine, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                • Conceived and designed the experiments: HL DYC CW TP BO.

                • Performed the experiments: HL CW KC SR BO.

                • Analyzed the data: HL DYC TP BO.

                • Contributed reagents/materials/analysis tools: RE MP JR TK KC.

                • Wrote the paper: HL DYC SR TP BO.

                Author information
                http://orcid.org/0000-0003-1963-5850
                http://orcid.org/0000-0002-4126-9116
                http://orcid.org/0000-0002-4636-4024
                http://orcid.org/0000-0003-0546-3031
                Article
                PGENETICS-D-15-02848
                10.1371/journal.pgen.1006295
                5012587
                27599372
                7bc32d7b-d313-4aa0-bda1-ffec9128ac3e

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 20 November 2015
                : 10 August 2016
                Page count
                Figures: 10, Tables: 0, Pages: 33
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: DK015600
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000092, U.S. National Library of Medicine;
                Award ID: LM200887
                Award Recipient :
                This research was supported in part by the Intramural Research Program of the NIH, The National Institute of Diabetes and Digestive Diseases (BO) and the National Library of Medicine (TP). HL was supported by Korean Visiting Scientist Training Award (KVSTA, HI13C1282). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Gene Expression
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromatin
                Biology and Life Sciences
                Genetics
                Epigenetics
                Chromatin
                Biology and Life Sciences
                Genetics
                Gene Expression
                Chromatin
                Research and Analysis Methods
                Model Organisms
                Animal Models
                Drosophila Melanogaster
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Arthropoda
                Insects
                Drosophila
                Drosophila Melanogaster
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Genetic Networks
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Genetic Networks
                Computer and Information Sciences
                Network Analysis
                Genetic Networks
                Biology and Life Sciences
                Genetics
                Genomics
                Animal Genomics
                Invertebrate Genomics
                Biology and Life Sciences
                Genetics
                Gene Expression
                Gene Regulation
                Dosage Compensation
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Biology and life sciences
                Genetics
                Gene expression
                DNA transcription
                Custom metadata
                Data are available at the Gene Expression Omnibus with accession numbers of GSE61509 and GSE73920.

                Genetics
                Genetics

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