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      Two coacting shadow enhancers regulate twin of eyeless expression during early Drosophila development

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          Abstract

          The Drosophila PAX6 homolog twin of eyeless ( toy ) sits at the pinnacle of the genetic pathway controlling eye development, the retinal determination network. Expression of toy in the embryo is first detectable at cellular blastoderm stage 5 in an anterior–dorsal band in the presumptive procephalic neuroectoderm, which gives rise to the primordia of the visual system and brain. Although several maternal and gap transcription factors that generate positional information in the embryo have been implicated in controlling toy , the regulation of toy expression in the early embryo is currently not well characterized. In this study, we adopt an integrated experimental approach utilizing bioinformatics, molecular genetic testing of putative enhancers in transgenic reporter gene assays and quantitative analysis of expression patterns in the early embryo, to identify 2 novel coacting enhancers at the toy gene. In addition, we apply mathematical modeling to dissect the regulatory landscape for toy . We demonstrate that relatively simple thermodynamic-based models, incorporating only 5 TF binding sites, can accurately predict gene expression from the 2 coacting enhancers and that the HUNCHBACK TF plays a critical regulatory role through a dual-modality function as an activator and repressor. Our analysis also reveals that the molecular architecture of the 2 enhancers is very different, indicating that the underlying regulatory logic they employ is distinct.

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          MEME Suite: tools for motif discovery and searching

          The MEME Suite web server provides a unified portal for online discovery and analysis of sequence motifs representing features such as DNA binding sites and protein interaction domains. The popular MEME motif discovery algorithm is now complemented by the GLAM2 algorithm which allows discovery of motifs containing gaps. Three sequence scanning algorithms—MAST, FIMO and GLAM2SCAN—allow scanning numerous DNA and protein sequence databases for motifs discovered by MEME and GLAM2. Transcription factor motifs (including those discovered using MEME) can be compared with motifs in many popular motif databases using the motif database scanning algorithm Tomtom. Transcription factor motifs can be further analyzed for putative function by association with Gene Ontology (GO) terms using the motif-GO term association tool GOMO. MEME output now contains sequence LOGOS for each discovered motif, as well as buttons to allow motifs to be conveniently submitted to the sequence and motif database scanning algorithms (MAST, FIMO and Tomtom), or to GOMO, for further analysis. GLAM2 output similarly contains buttons for further analysis using GLAM2SCAN and for rerunning GLAM2 with different parameters. All of the motif-based tools are now implemented as web services via Opal. Source code, binaries and a web server are freely available for noncommercial use at http://meme.nbcr.net.
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            Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation

            The RefSeq project at the National Center for Biotechnology Information (NCBI) maintains and curates a publicly available database of annotated genomic, transcript, and protein sequence records (http://www.ncbi.nlm.nih.gov/refseq/). The RefSeq project leverages the data submitted to the International Nucleotide Sequence Database Collaboration (INSDC) against a combination of computation, manual curation, and collaboration to produce a standard set of stable, non-redundant reference sequences. The RefSeq project augments these reference sequences with current knowledge including publications, functional features and informative nomenclature. The database currently represents sequences from more than 55 000 organisms (>4800 viruses, >40 000 prokaryotes and >10 000 eukaryotes; RefSeq release 71), ranging from a single record to complete genomes. This paper summarizes the current status of the viral, prokaryotic, and eukaryotic branches of the RefSeq project, reports on improvements to data access and details efforts to further expand the taxonomic representation of the collection. We also highlight diverse functional curation initiatives that support multiple uses of RefSeq data including taxonomic validation, genome annotation, comparative genomics, and clinical testing. We summarize our approach to utilizing available RNA-Seq and other data types in our manual curation process for vertebrate, plant, and other species, and describe a new direction for prokaryotic genomes and protein name management.
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              The Human Genome Browser at UCSC

              As vertebrate genome sequences near completion and research refocuses to their analysis, the issue of effective genome annotation display becomes critical. A mature web tool for rapid and reliable display of any requested portion of the genome at any scale, together with several dozen aligned annotation tracks, is provided at http://genome.ucsc.edu. This browser displays assembly contigs and gaps, mRNA and expressed sequence tag alignments, multiple gene predictions, cross-species homologies, single nucleotide polymorphisms, sequence-tagged sites, radiation hybrid data, transposon repeats, and more as a stack of coregistered tracks. Text and sequence-based searches provide quick and precise access to any region of specific interest. Secondary links from individual features lead to sequence details and supplementary off-site databases. One-half of the annotation tracks are computed at the University of California, Santa Cruz from publicly available sequence data; collaborators worldwide provide the rest. Users can stably add their own custom tracks to the browser for educational or research purposes. The conceptual and technical framework of the browser, its underlying MYSQL database, and overall use are described. The web site currently serves over 50,000 pages per day to over 3000 different users.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Genetics
                Genetics
                genetics
                Genetics
                Oxford University Press (US )
                0016-6731
                1943-2631
                January 2025
                28 November 2024
                28 November 2024
                : 229
                : 1
                : 1-43
                Affiliations
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Biology Department, Clark University , 950 Main Street, Worcester, MA 01610, USA
                Author notes
                Corresponding author: Biology Department, Clark University, 950 Main Street, Worcester, MA 01610, USA. Email: rdrewell@ 123456clarku.edu

                Conflicts of interest: The authors report no competing interests.

                Author information
                https://orcid.org/0009-0006-4222-1639
                https://orcid.org/0000-0002-5653-1615
                Article
                iyae176
                10.1093/genetics/iyae176
                11708921
                39607769
                5b4b5b79-d879-4043-a921-db1631fde346
                © The Author(s) 2024. Published by Oxford University Press on behalf of The Genetics Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 August 2024
                : 21 October 2024
                : 28 November 2024
                Page count
                Pages: 18
                Funding
                Funded by: National Institutes of Health, DOI 10.13039/100000002;
                Award ID: GM110571
                Award ID: GM137250
                Categories
                Investigation
                Gene Expression
                AcademicSubjects/SCI01180
                AcademicSubjects/SCI01140

                Genetics
                drosophila,twin of eyeless,enhancer, cis-regulation,development
                Genetics
                drosophila, twin of eyeless, enhancer, cis-regulation, development

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