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Bradford YM, Van Slyke CE, Ruzicka L, Singer A, Eagle A, Fashena D, Howe DG, Frazer K, Martin R, Paddock H, Pich C, Ramachandran S, Westerfield M. Zebrafish Information Network, the knowledgebase for Danio rerio research. Genetics 2022; 220:6528852. [PMID: 35166825 PMCID: PMC8982015 DOI: 10.1093/genetics/iyac016] [Citation(s) in RCA: 69] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/18/2022] [Indexed: 11/24/2022] Open
Abstract
The Zebrafish Information Network (zfin.org) is the central repository for Danio rerio genetic and genomic data. The Zebrafish Information Network has served the zebrafish research community since 1994, expertly curating, integrating, and displaying zebrafish data. Key data types available at the Zebrafish Information Network include, but are not limited to, genes, alleles, human disease models, gene expression, phenotype, and gene function. The Zebrafish Information Network makes zebrafish research data Findable, Accessible, Interoperable, and Reusable through nomenclature, curatorial and annotation activities, web interfaces, and data downloads. Recently, the Zebrafish Information Network and 6 other model organism knowledgebases have collaborated to form the Alliance of Genome Resources, aiming to develop sustainable genome information resources that enable the use of model organisms to understand the genetic and genomic basis of human biology and disease. Here, we provide an overview of the data available at the Zebrafish Information Network including recent updates to the gene page to provide access to single-cell RNA sequencing data, links to Alliance web pages, ribbon diagrams to summarize the biological systems and Gene Ontology terms that have annotations, and data integration with the Alliance of Genome Resources.
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Affiliation(s)
- Yvonne M Bradford
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Ceri E Van Slyke
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Leyla Ruzicka
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Amy Singer
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Anne Eagle
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - David Fashena
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Douglas G Howe
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Ken Frazer
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Ryan Martin
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Holly Paddock
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Christian Pich
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Sridhar Ramachandran
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
| | - Monte Westerfield
- The Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254, USA
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DeLaurier A, Howe DG, Ruzicka L, Carte AN, Mishoe Hernandez L, Wiggins KJ, Gallati MM, Vanpelt K, Loyo Rosado F, Pugh KG, Shabdue CJ, Jihad K, Thyme SB, Talbot JC. ZebraShare: a new venue for rapid dissemination of zebrafish mutant data. PeerJ 2021; 9:e11007. [PMID: 33954026 PMCID: PMC8051354 DOI: 10.7717/peerj.11007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 02/02/2021] [Indexed: 11/20/2022] Open
Abstract
Background In the past decade, the zebrafish community has widely embraced targeted mutagenesis technologies, resulting in an abundance of mutant lines. While many lines have proven to be useful for investigating gene function, many have also shown no apparent phenotype, or phenotypes not of interest to the originating lab. In order for labs to document and share information about these lines, we have created ZebraShare as a new resource offered within ZFIN. Methods ZebraShare involves a form-based submission process generated by ZFIN. The ZebraShare interface (https://zfin.org/action/zebrashare) can be accessed on ZFIN under "Submit Data". Users download the Submission Workbook and complete the required fields, then submit the completed workbook with associated images and captions, generating a new ZFIN publication record. ZFIN curators add the submitted phenotype and mutant information to the ZFIN database, provide mapping information about mutations, and cross reference this information across the appropriate ZFIN databases. We present here examples of ZebraShare submissions, including phf21aa, kdm1a, ctnnd1, snu13a, and snu13b mutant lines. Results Users can find ZebraShare submissions by searching ZFIN for specific alleles or line designations, just as for alleles submitted through the normal process. We present several potential examples of submission types to ZebraShare including a phenotypic mutants, mildly phenotypic, and early lethal mutants. Mutants for kdm1a show no apparent skeletal phenotype, and phf21aa mutants show only a mild skeletal phenotype, yet these genes have specific human disease relevance and therefore may be useful for further studies. The p120-catenin encoding gene, ctnnd1, was knocked out to investigate a potential role in brain development or function. The homozygous ctnnd1 mutant disintegrates during early somitogenesis and the heterozygote has localized defects, revealing vital roles in early development. Two snu13 genes were knocked out to investigate a role in muscle formation. The snu13a;snu13b double mutant has an early embryonic lethal phenotype, potentially related to a proposed role in the core splicing complex. In each example, the mutants submitted to ZebraShare display phenotypes that are not ideally suited to their originating lab's project directions but may be of great relevance to other researchers. Conclusion ZebraShare provides an opportunity for researchers to directly share information about mutant lines within ZFIN, which is widely used by the community as a central database of information about zebrafish lines. Submissions of alleles with a phenotypic or unexpected phenotypes is encouraged to promote collaborations, disseminate lines, reduce redundancy of effort and to promote efficient use of time and resources. We anticipate that as submissions to ZebraShare increase, they will help build an ultimately more complete picture of zebrafish genetics and development.
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Affiliation(s)
- April DeLaurier
- Department of Biology and Geology, University of South Carolina -Aiken, Aiken, SC, United States of America
| | - Douglas G Howe
- The Institute of Neuroscience, University of Oregon, Eugene, OR, United States of America
| | - Leyla Ruzicka
- The Institute of Neuroscience, University of Oregon, Eugene, OR, United States of America
| | - Adam N Carte
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, United States of America.,Systems, Synthetic, and Quantitative Biology Program, Harvard University, Cambridge, MA, United States of America.,Biozentrum, Universität Basel, Basel, Switzerland
| | - Lacie Mishoe Hernandez
- Department of Biology and Geology, University of South Carolina -Aiken, Aiken, SC, United States of America
| | - Kali J Wiggins
- Department of Biology and Geology, University of South Carolina -Aiken, Aiken, SC, United States of America
| | - Mika M Gallati
- School of Biology and Ecology, University of Maine, Orono, ME, United States of America
| | - Kayce Vanpelt
- Department of Biology and Geology, University of South Carolina -Aiken, Aiken, SC, United States of America
| | - Frances Loyo Rosado
- Department of Biology and Geology, University of South Carolina -Aiken, Aiken, SC, United States of America
| | - Katlin G Pugh
- Department of Biology and Geology, University of South Carolina -Aiken, Aiken, SC, United States of America
| | - Chasey J Shabdue
- Department of Biology and Geology, University of South Carolina -Aiken, Aiken, SC, United States of America
| | - Khadijah Jihad
- Department of Biology and Geology, University of South Carolina -Aiken, Aiken, SC, United States of America
| | - Summer B Thyme
- Department of Neurobiology, University of Alabama -Birmingham, Birmingham, AL, United States of America
| | - Jared C Talbot
- School of Biology and Ecology, University of Maine, Orono, ME, United States of America
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Lock A, Harris MA, Rutherford K, Hayles J, Wood V. Community curation in PomBase: enabling fission yeast experts to provide detailed, standardized, sharable annotation from research publications. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2020; 2020:5827230. [PMID: 32353878 PMCID: PMC7192550 DOI: 10.1093/database/baaa028] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 02/28/2020] [Accepted: 03/22/2020] [Indexed: 11/22/2022]
Abstract
Maximizing the impact and value of scientific research requires efficient knowledge distribution, which increasingly depends on the integration of standardized published data into online databases. To make data integration more comprehensive and efficient for fission yeast research, PomBase has pioneered a community curation effort that engages publication authors directly in FAIR-sharing of data representing detailed biological knowledge from hypothesis-driven experiments. Canto, an intuitive online curation tool that enables biologists to describe their detailed functional data using shared ontologies, forms the core of PomBase’s system. With 8 years’ experience, and as the author response rate reaches 50%, we review community curation progress and the insights we have gained from the project. We highlight incentives and nudges we deploy to maximize participation, and summarize project outcomes, which include increased knowledge integration and dissemination as well as the unanticipated added value arising from co-curation by publication authors and professional curators.
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Affiliation(s)
- Antonia Lock
- Department of Genetics, Evolution and Environment, University College London, Gower street, London WC1E 6BT, UK
| | - Midori A Harris
- Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1GA, UK
| | - Kim Rutherford
- Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1GA, UK
| | - Jacqueline Hayles
- Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge CB2 1GA, UK
| | - Valerie Wood
- Cell Cycle Laboratory, The Francis Crick Institute, Midland Rd, London NW1 1AT, UK
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Endoglin is a conserved regulator of vasculogenesis in zebrafish - implications for hereditary haemorrhagic telangiectasia. Biosci Rep 2019; 39:BSR20182320. [PMID: 31064821 PMCID: PMC6527926 DOI: 10.1042/bsr20182320] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 04/21/2019] [Accepted: 04/30/2019] [Indexed: 01/05/2023] Open
Abstract
Hereditary haemorrhagic telangiectasia (HHT) is a progressive vascular disease with high mortality and prevalence. There is no effective treatment of HHT due to the lack of comprehensive knowledge of its underlying pathological mechanisms. The majority of HHT1 patients carry endoglin (ENG) mutations. Here, we used Danio rerio (zebrafish) as an in vivo model to investigate the effects of endoglin knockdown on vascular development. According to phylogenetic analyses and amino acid sequence similarity analyses, we confirmed that endoglin is conserved in vertebrates and descended from a single common ancestor. Endoglin is highly expressed in the vasculature beginning at the segmentation period in zebrafish. Upon endoglin knockdown by morpholinos, we observed disruption in the intersegmental vessels (ISVs) and decreased expression of several vascular markers. RNA sequencing (RNA-Seq) results implied that the BMP-binding endothelial regulator (bmper) is a gene affected by endoglin knockdown. Rescue experiments demonstrated that overexpression of bmper significantly increased the number of endothelial cells (ECs) and reduced the defects at ISVs in zebrafish. Moreover, there was enhanced tube formation in ENG mutant ECs derived from a HHT patient after human recombinant BMPER (hrBMPER) stimulation. Taken together, our results suggest that bmper, a potential downstream gene of ENG, could be targeted to improve vascular integrity in HHT.
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Raciti D, Yook K, Harris TW, Schedl T, Sternberg PW. Micropublication: incentivizing community curation and placing unpublished data into the public domain. Database (Oxford) 2018; 2018:4917853. [PMID: 29688367 PMCID: PMC5836261 DOI: 10.1093/database/bay013] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 01/10/2018] [Accepted: 01/18/2018] [Indexed: 12/27/2022]
Abstract
Large volumes of data generated by research laboratories coupled with the required effort and cost of curation present a significant barrier to inclusion of these data in authoritative community databases. Further, many publicly funded experimental observations remain invisible to curation simply because they are never published: results often do not fit within the scope of a standard publication; trainee-generated data are forgotten when the experimenter (e.g. student, post-doc) leaves the lab; results are omitted from science narratives due to publication bias where certain results are considered irrelevant for the publication. While authors are in the best position to curate their own data, they face a steep learning curve to ensure that appropriate referential tags, metadata, and ontologies are applied correctly to their observations, a task sometimes considered beyond the scope of their research and other numerous responsibilities. Getting researchers to adopt a new system of data reporting and curation requires a fundamental change in behavior among all members of the research community. To solve these challenges, we have created a novel scholarly communication platform that captures data from researchers and directly delivers them to information resources via Micropublication. This platform incentivizes authors to publish their unpublished observations along with associated metadata by providing a deliberately fast and lightweight but still peer-reviewed process that results in a citable publication. Our long-term goal is to develop a data ecosystem that improves reproducibility and accountability of publicly funded research and in turn accelerates both basic and translational discovery. Database URL www.micropublication.org.
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Affiliation(s)
- Daniela Raciti
- Division of Biology and Biological Engineering 156-29, California Institute of Technology, Pasadena, CA 91125, USA
| | - Karen Yook
- Division of Biology and Biological Engineering 156-29, California Institute of Technology, Pasadena, CA 91125, USA
| | - Todd W Harris
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research, Toronto, ON M5G0A3, Canada
| | - Tim Schedl
- Department of Genetics, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Paul W Sternberg
- Division of Biology and Biological Engineering 156-29, California Institute of Technology, Pasadena, CA 91125, USA
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Van Slyke CE, Bradford YM, Howe DG, Fashena DS, Ramachandran S, Ruzicka L. Using ZFIN: Data Types, Organization, and Retrieval. Methods Mol Biol 2018; 1757:307-347. [PMID: 29761463 PMCID: PMC6319390 DOI: 10.1007/978-1-4939-7737-6_11] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
The Zebrafish Model Organism Database (ZFIN; zfin.org) was established in 1994 as the primary genetic and genomic resource for the zebrafish research community. Some of the earliest records in ZFIN were for people and laboratories. Since that time, services and data types provided by ZFIN have grown considerably. Today, ZFIN provides the official nomenclature for zebrafish genes, mutants, and transgenics and curates many data types including gene expression, phenotypes, Gene Ontology, models of human disease, orthology, knockdown reagents, transgenic constructs, and antibodies. Ontologies are used throughout ZFIN to structure these expertly curated data. An integrated genome browser provides genomic context for genes, transgenics, mutants, and knockdown reagents. ZFIN also supports a community wiki where the research community can post new antibody records and research protocols. Data in ZFIN are accessible via web pages, download files, and the ZebrafishMine (zebrafishmine.org), an installation of the InterMine data warehousing software. Searching for data at ZFIN utilizes both parameterized search forms and a single box search for searching or browsing data quickly. This chapter aims to describe the primary ZFIN data and services, and provide insight into how to use and interpret ZFIN searches, data, and web pages.
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Affiliation(s)
- Ceri E Van Slyke
- The Zebrafish Information Network, University of Oregon, Eugene, OR, USA.
| | - Yvonne M Bradford
- The Zebrafish Information Network, University of Oregon, Eugene, OR, USA
| | - Douglas G Howe
- The Zebrafish Information Network, University of Oregon, Eugene, OR, USA
| | - David S Fashena
- The Zebrafish Information Network, University of Oregon, Eugene, OR, USA
| | | | - Leyla Ruzicka
- The Zebrafish Information Network, University of Oregon, Eugene, OR, USA
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Howe DG, Bradford YM, Eagle A, Fashena D, Frazer K, Kalita P, Mani P, Martin R, Moxon ST, Paddock H, Pich C, Ramachandran S, Ruzicka L, Schaper K, Shao X, Singer A, Toro S, Van Slyke C, Westerfield M. The Zebrafish Model Organism Database: new support for human disease models, mutation details, gene expression phenotypes and searching. Nucleic Acids Res 2016; 45:D758-D768. [PMID: 27899582 PMCID: PMC5210580 DOI: 10.1093/nar/gkw1116] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Revised: 10/25/2016] [Accepted: 10/27/2016] [Indexed: 12/16/2022] Open
Abstract
The Zebrafish Model Organism Database (ZFIN; http://zfin.org) is the central resource for zebrafish (Danio rerio) genetic, genomic, phenotypic and developmental data. ZFIN curators provide expert manual curation and integration of comprehensive data involving zebrafish genes, mutants, transgenic constructs and lines, phenotypes, genotypes, gene expressions, morpholinos, TALENs, CRISPRs, antibodies, anatomical structures, models of human disease and publications. We integrate curated, directly submitted, and collaboratively generated data, making these available to zebrafish research community. Among the vertebrate model organisms, zebrafish are superbly suited for rapid generation of sequence-targeted mutant lines, characterization of phenotypes including gene expression patterns, and generation of human disease models. The recent rapid adoption of zebrafish as human disease models is making management of these data particularly important to both the research and clinical communities. Here, we describe recent enhancements to ZFIN including use of the zebrafish experimental conditions ontology, ‘Fish’ records in the ZFIN database, support for gene expression phenotypes, models of human disease, mutation details at the DNA, RNA and protein levels, and updates to the ZFIN single box search.
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Affiliation(s)
- Douglas G Howe
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Yvonne M Bradford
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Anne Eagle
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - David Fashena
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Ken Frazer
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Patrick Kalita
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Prita Mani
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Ryan Martin
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Sierra Taylor Moxon
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Holly Paddock
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Christian Pich
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | | | - Leyla Ruzicka
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Kevin Schaper
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Xiang Shao
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Amy Singer
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Sabrina Toro
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Ceri Van Slyke
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Monte Westerfield
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
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