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Aleksander SA, Anagnostopoulos AV, Antonazzo G, Arnaboldi V, Attrill H, Becerra A, Bello SM, Blodgett O, Bradford YM, Bult CJ, Cain S, Calvi BR, Carbon S, Chan J, Chen WJ, Cherry JM, Cho J, Crosby MA, De Pons JL, D’Eustachio P, Diamantakis S, Dolan ME, dos Santos G, Dyer S, Ebert D, Engel SR, Fashena D, Fisher M, Foley S, Gibson AC, Gollapally VR, Gramates LS, Grove CA, Hale P, Harris T, Hayman GT, Hu Y, James-Zorn C, Karimi K, Karra K, Kishore R, Kwitek AE, Laulederkind SJF, Lee R, Longden I, Luypaert M, Markarian N, Marygold SJ, Matthews B, McAndrews MS, Millburn G, Miyasato S, Motenko H, Moxon S, Muller HM, Mungall CJ, Muruganujan A, Mushayahama T, Nash RS, Nuin P, Paddock H, Pells T, Perrimon N, Pich C, Quinton-Tulloch M, Raciti D, Ramachandran S, Richardson JE, Gelbart SR, Ruzicka L, Schindelman G, Shaw DR, Sherlock G, Shrivatsav A, Singer A, Smith CM, Smith CL, Smith JR, Stein L, Sternberg PW, Tabone CJ, Thomas PD, Thorat K, Thota J, Tomczuk M, Trovisco V, Tutaj MA, Urbano JM, Van Auken K, Van Slyke CE, Vize PD, Wang Q, Weng S, Westerfield M, Wilming LG, Wong ED, Wright A, Yook K, Zhou P, Zorn A, Zytkovicz M. Updates to the Alliance of Genome Resources central infrastructure. Genetics 2024; 227:iyae049. [PMID: 38552170 DOI: 10.1093/genetics/iyae049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 04/09/2024] Open
Abstract
The Alliance of Genome Resources (Alliance) is an extensible coalition of knowledgebases focused on the genetics and genomics of intensively studied model organisms. The Alliance is organized as individual knowledge centers with strong connections to their research communities and a centralized software infrastructure, discussed here. Model organisms currently represented in the Alliance are budding yeast, Caenorhabditis elegans, Drosophila, zebrafish, frog, laboratory mouse, laboratory rat, and the Gene Ontology Consortium. The project is in a rapid development phase to harmonize knowledge, store it, analyze it, and present it to the community through a web portal, direct downloads, and application programming interfaces (APIs). Here, we focus on developments over the last 2 years. Specifically, we added and enhanced tools for browsing the genome (JBrowse), downloading sequences, mining complex data (AllianceMine), visualizing pathways, full-text searching of the literature (Textpresso), and sequence similarity searching (SequenceServer). We enhanced existing interactive data tables and added an interactive table of paralogs to complement our representation of orthology. To support individual model organism communities, we implemented species-specific "landing pages" and will add disease-specific portals soon; in addition, we support a common community forum implemented in Discourse software. We describe our progress toward a central persistent database to support curation, the data modeling that underpins harmonization, and progress toward a state-of-the-art literature curation system with integrated artificial intelligence and machine learning (AI/ML).
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Affiliation(s)
| | | | | | - Giulia Antonazzo
- Department of Physiology, Development and Neuroscience , University of Cambridge, Downing Street, Cambridge CB2 3DY , UK
| | - Valerio Arnaboldi
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Helen Attrill
- Department of Physiology, Development and Neuroscience , University of Cambridge, Downing Street, Cambridge CB2 3DY , UK
| | - Andrés Becerra
- European Molecular Biology Laboratory, European Bioinformatics Institute , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , UK
| | - Susan M Bello
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Olin Blodgett
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | | | - Carol J Bult
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Scott Cain
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research , Toronto, ON M5G0A3 , Canada
| | - Brian R Calvi
- Department of Biology, Indiana University , Bloomington, IN 47408 , USA
| | - Seth Carbon
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory , Berkeley, CA
| | - Juancarlos Chan
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Wen J Chen
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - J Michael Cherry
- Department of Genetics, Stanford University , Stanford, CA 94305
| | - Jaehyoung Cho
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Madeline A Crosby
- The Biological Laboratories, Harvard University , 16 Divinity Avenue, Cambridge, MA 02138 , USA
| | - Jeffrey L De Pons
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | | | - Stavros Diamantakis
- European Molecular Biology Laboratory, European Bioinformatics Institute , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , UK
| | - Mary E Dolan
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Gilberto dos Santos
- The Biological Laboratories, Harvard University , 16 Divinity Avenue, Cambridge, MA 02138 , USA
| | - Sarah Dyer
- European Molecular Biology Laboratory, European Bioinformatics Institute , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , UK
| | - Dustin Ebert
- Department of Population and Public Health Sciences, University of Southern California , Los Angeles, CA 90033 , USA
| | - Stacia R Engel
- Department of Genetics, Stanford University , Stanford, CA 94305
| | - David Fashena
- Institute of Neuroscience, University of Oregon , Eugene, OR 97403
| | - Malcolm Fisher
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center , 3333 Burnet Ave, Cincinnati, OH 45229 , USA
| | - Saoirse Foley
- Department of Biological Sciences, Carnegie Mellon University , 5000 Forbes Ave, Pittsburgh, PA 15203
| | - Adam C Gibson
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | - Varun R Gollapally
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | - L Sian Gramates
- The Biological Laboratories, Harvard University , 16 Divinity Avenue, Cambridge, MA 02138 , USA
| | - Christian A Grove
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Paul Hale
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Todd Harris
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research , Toronto, ON M5G0A3 , Canada
| | - G Thomas Hayman
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | - Yanhui Hu
- Department of Genetics, Howard Hughes Medical Institute , Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115 , USA
| | - Christina James-Zorn
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center , 3333 Burnet Ave, Cincinnati, OH 45229 , USA
| | - Kamran Karimi
- Department of Biological Sciences, University of Calgary , 507 Campus Dr NW, Calgary, AB T2N 4V8 , Canada
| | - Kalpana Karra
- Department of Genetics, Stanford University , Stanford, CA 94305
| | - Ranjana Kishore
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Anne E Kwitek
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | - Stanley J F Laulederkind
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | - Raymond Lee
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Ian Longden
- The Biological Laboratories, Harvard University , 16 Divinity Avenue, Cambridge, MA 02138 , USA
| | - Manuel Luypaert
- European Molecular Biology Laboratory, European Bioinformatics Institute , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , UK
| | - Nicholas Markarian
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Steven J Marygold
- Department of Physiology, Development and Neuroscience , University of Cambridge, Downing Street, Cambridge CB2 3DY , UK
| | - Beverley Matthews
- The Biological Laboratories, Harvard University , 16 Divinity Avenue, Cambridge, MA 02138 , USA
| | - Monica S McAndrews
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Gillian Millburn
- Department of Physiology, Development and Neuroscience , University of Cambridge, Downing Street, Cambridge CB2 3DY , UK
| | - Stuart Miyasato
- Department of Genetics, Stanford University , Stanford, CA 94305
| | - Howie Motenko
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Sierra Moxon
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory , Berkeley, CA
| | - Hans-Michael Muller
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Christopher J Mungall
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory , Berkeley, CA
| | - Anushya Muruganujan
- Department of Population and Public Health Sciences, University of Southern California , Los Angeles, CA 90033 , USA
| | - Tremayne Mushayahama
- Department of Population and Public Health Sciences, University of Southern California , Los Angeles, CA 90033 , USA
| | - Robert S Nash
- Department of Genetics, Stanford University , Stanford, CA 94305
| | - Paulo Nuin
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research , Toronto, ON M5G0A3 , Canada
| | - Holly Paddock
- Institute of Neuroscience, University of Oregon , Eugene, OR 97403
| | - Troy Pells
- Department of Biological Sciences, University of Calgary , 507 Campus Dr NW, Calgary, AB T2N 4V8 , Canada
| | - Norbert Perrimon
- Department of Genetics, Howard Hughes Medical Institute , Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115 , USA
| | - Christian Pich
- Institute of Neuroscience, University of Oregon , Eugene, OR 97403
| | - Mark Quinton-Tulloch
- European Molecular Biology Laboratory, European Bioinformatics Institute , Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD , UK
| | - Daniela Raciti
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | | | | | - Susan Russo Gelbart
- The Biological Laboratories, Harvard University , 16 Divinity Avenue, Cambridge, MA 02138 , USA
| | - Leyla Ruzicka
- Institute of Neuroscience, University of Oregon , Eugene, OR 97403
| | - Gary Schindelman
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - David R Shaw
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Gavin Sherlock
- Department of Genetics, Stanford University , Stanford, CA 94305
| | - Ajay Shrivatsav
- Department of Genetics, Stanford University , Stanford, CA 94305
| | - Amy Singer
- Institute of Neuroscience, University of Oregon , Eugene, OR 97403
| | - Constance M Smith
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Cynthia L Smith
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Jennifer R Smith
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | - Lincoln Stein
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research , Toronto, ON M5G0A3 , Canada
| | - Paul W Sternberg
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Christopher J Tabone
- The Biological Laboratories, Harvard University , 16 Divinity Avenue, Cambridge, MA 02138 , USA
| | - Paul D Thomas
- Department of Population and Public Health Sciences, University of Southern California , Los Angeles, CA 90033 , USA
| | - Ketaki Thorat
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | - Jyothi Thota
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | - Monika Tomczuk
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Vitor Trovisco
- Department of Physiology, Development and Neuroscience , University of Cambridge, Downing Street, Cambridge CB2 3DY , UK
| | - Marek A Tutaj
- Medical College of Wisconsin—Rat Genome Database, Departments of Physiology and Biomedical Engineering , Medical College of Wisconsin, Milwaukee, WI 53226 , USA
| | - Jose-Maria Urbano
- Department of Physiology, Development and Neuroscience , University of Cambridge, Downing Street, Cambridge CB2 3DY , UK
| | - Kimberly Van Auken
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Ceri E Van Slyke
- Institute of Neuroscience, University of Oregon , Eugene, OR 97403
| | - Peter D Vize
- Department of Biological Sciences, University of Calgary , 507 Campus Dr NW, Calgary, AB T2N 4V8 , Canada
| | - Qinghua Wang
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Shuai Weng
- Department of Genetics, Stanford University , Stanford, CA 94305
| | | | - Laurens G Wilming
- The Jackson Laboratory for Mammalian Genomics, Bar Harbor , ME 04609 , USA
| | - Edith D Wong
- Department of Genetics, Stanford University , Stanford, CA 94305
| | - Adam Wright
- Informatics and Bio-computing Platform, Ontario Institute for Cancer Research , Toronto, ON M5G0A3 , Canada
| | - Karen Yook
- Division of Biology and Biological Engineering 140-18, California Institute of Technology , Pasadena, CA 91125 , USA
| | - Pinglei Zhou
- The Biological Laboratories, Harvard University , 16 Divinity Avenue, Cambridge, MA 02138 , USA
| | - Aaron Zorn
- Division of Developmental Biology, Cincinnati Children's Hospital Medical Center , 3333 Burnet Ave, Cincinnati, OH 45229 , USA
| | - Mark Zytkovicz
- The Biological Laboratories, Harvard University , 16 Divinity Avenue, Cambridge, MA 02138 , USA
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Aleksander SA, Anagnostopoulos AV, Antonazzo G, Arnaboldi V, Attrill H, Becerra A, Bello SM, Blodgett O, Bradford YM, Bult CJ, Cain S, Calvi BR, Carbon S, Chan J, Chen WJ, Michael Cherry J, Cho J, Crosby MA, De Pons JL, D’Eustachio P, Diamantakis S, Dolan ME, Santos GD, Dyer S, Ebert D, Engel SR, Fashena D, Fisher M, Foley S, Gibson AC, Gollapally VR, Sian Gramates L, Grove CA, Hale P, Harris T, Thomas Hayman G, Hu Y, James-Zorn C, Karimi K, Karra K, Kishore R, Kwitek AE, Laulederkind SJF, Lee R, Longden I, Luypaert M, Markarian N, Marygold SJ, Matthews B, McAndrews MS, Millburn G, Miyasato S, Motenko H, Moxon S, Muller HM, Mungall CJ, Muruganujan A, Mushayahama T, Nash RS, Nuin P, Paddock H, Pells T, Perrimon N, Pich C, Quinton-Tulloch M, Raciti D, Ramachandran S, Richardson JE, Gelbart SR, Ruzicka L, Schindelman G, Shaw DR, Sherlock G, Shrivatsav A, Singer A, Smith CM, Smith CL, Smith JR, Stein L, Sternberg PW, Tabone CJ, Thomas PD, Thorat K, Thota J, Tomczuk M, Trovisco V, Tutaj MA, Urbano JM, Auken KV, Van Slyke CE, Vize PD, Wang Q, Weng S, Westerfield M, Wilming LG, Wong ED, Wright A, Yook K, Zhou P, Zorn A, Zytkovicz M. Updates to the Alliance of Genome Resources Central Infrastructure Alliance of Genome Resources Consortium. bioRxiv 2023:2023.11.20.567935. [PMID: 38045425 PMCID: PMC10690154 DOI: 10.1101/2023.11.20.567935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
The Alliance of Genome Resources (Alliance) is an extensible coalition of knowledgebases focused on the genetics and genomics of intensively-studied model organisms. The Alliance is organized as individual knowledge centers with strong connections to their research communities and a centralized software infrastructure, discussed here. Model organisms currently represented in the Alliance are budding yeast, C. elegans, Drosophila, zebrafish, frog, laboratory mouse, laboratory rat, and the Gene Ontology Consortium. The project is in a rapid development phase to harmonize knowledge, store it, analyze it, and present it to the community through a web portal, direct downloads, and APIs. Here we focus on developments over the last two years. Specifically, we added and enhanced tools for browsing the genome (JBrowse), downloading sequences, mining complex data (AllianceMine), visualizing pathways, full-text searching of the literature (Textpresso), and sequence similarity searching (SequenceServer). We enhanced existing interactive data tables and added an interactive table of paralogs to complement our representation of orthology. To support individual model organism communities, we implemented species-specific "landing pages" and will add disease-specific portals soon; in addition, we support a common community forum implemented in Discourse. We describe our progress towards a central persistent database to support curation, the data modeling that underpins harmonization, and progress towards a state-of-the art literature curation system with integrated Artificial Intelligence and Machine Learning (AI/ML).
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Bradford YM, Van Slyke CE, Howe DG, Fashena D, Frazer K, Martin R, Paddock H, Pich C, Ramachandran S, Ruzicka L, Singer A, Taylor R, Tseng WC, Westerfield M. From multiallele fish to nonstandard environments, how ZFIN assigns phenotypes, human disease models, and gene expression annotations to genes. Genetics 2023; 224:iyad032. [PMID: 36864549 PMCID: PMC10158835 DOI: 10.1093/genetics/iyad032] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/13/2023] [Indexed: 03/04/2023] Open
Abstract
Danio rerio is a model organism used to investigate vertebrate development. Manipulation of the zebrafish genome and resultant gene products by mutation or targeted knockdown has made the zebrafish a good system for investigating gene function, providing a resource to investigate genetic contributors to phenotype and human disease. Phenotypic outcomes can be the result of gene mutation, targeted knockdown of gene products, manipulation of experimental conditions, or any combination thereof. Zebrafish have been used in various genetic and chemical screens to identify genetic and environmental contributors to phenotype and disease outcomes. The Zebrafish Information Network (ZFIN, zfin.org) is the central repository for genetic, genomic, and phenotypic data that result from research using D. rerio. Here we describe how ZFIN annotates phenotype, expression, and disease model data across various experimental designs, how we computationally determine wild-type gene expression, the phenotypic gene, and how these results allow us to propagate gene expression, phenotype, and disease model data to the correct gene, or gene related entity.
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Affiliation(s)
- Yvonne M Bradford
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Ceri E Van Slyke
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Douglas G Howe
- 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
| | - Ryan Martin
- 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
| | - Amy Singer
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Ryan Taylor
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Wei-Chia Tseng
- 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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Agapite J, Albou LP, Aleksander SA, Alexander M, Anagnostopoulos AV, Antonazzo G, Argasinska J, Arnaboldi V, Attrill H, Becerra A, Bello SM, Blake JA, Blodgett O, Bradford YM, Bult CJ, Cain S, Calvi BR, Carbon S, Chan J, Chen WJ, Michael Cherry J, Cho J, Christie KR, Crosby MA, Davis P, da Veiga Beltrame E, De Pons JL, D’Eustachio P, Diamantakis S, Dolan ME, dos Santos G, Douglass E, Dunn B, Eagle A, Ebert D, Engel SR, Fashena D, Foley S, Frazer K, Gao S, Gibson AC, Gondwe F, Goodman J, Sian Gramates L, Grove CA, Hale P, Harris T, Thomas Hayman G, Hill DP, Howe DG, Howe KL, Hu Y, Jha S, Kadin JA, Kaufman TC, Kalita P, Karra K, Kishore R, Kwitek AE, Laulederkind SJF, Lee R, Longden I, Luypaert M, MacPherson KA, Martin R, Marygold SJ, Matthews B, McAndrews MS, Millburn G, Miyasato S, Motenko H, Moxon S, Muller HM, Mungall CJ, Muruganujan A, Mushayahama T, Nalabolu HS, Nash RS, Ng P, Nuin P, Paddock H, Paulini M, Perrimon N, Pich C, Quinton-Tulloch M, Raciti D, Ramachandran S, Richardson JE, Gelbart SR, Ruzicka L, Schaper K, Schindelman G, Shimoyama M, Simison M, Shaw DR, Shrivatsav A, Singer A, Skrzypek M, Smith CM, Smith CL, Smith JR, Stein L, Sternberg PW, Tabone CJ, Thomas PD, Thorat K, Thota J, Toro S, Tomczuk M, Trovisco V, Tutaj MA, Tutaj M, Urbano JM, Van Auken K, Van Slyke CE, Wang Q, Wang SJ, Weng S, Westerfield M, Williams G, Wilming LG, Wong ED, Wright A, Yook K, Zarowiecki M, Zhou P, Zytkovicz M. Harmonizing model organism data in the Alliance of Genome Resources. Genetics 2022; 220:iyac022. [PMID: 35380658 PMCID: PMC8982023 DOI: 10.1093/genetics/iyac022] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 01/26/2022] [Indexed: 02/06/2023] Open
Abstract
The Alliance of Genome Resources (the Alliance) is a combined effort of 7 knowledgebase projects: Saccharomyces Genome Database, WormBase, FlyBase, Mouse Genome Database, the Zebrafish Information Network, Rat Genome Database, and the Gene Ontology Resource. The Alliance seeks to provide several benefits: better service to the various communities served by these projects; a harmonized view of data for all biomedical researchers, bioinformaticians, clinicians, and students; and a more sustainable infrastructure. The Alliance has harmonized cross-organism data to provide useful comparative views of gene function, gene expression, and human disease relevance. The basis of the comparative views is shared calls of orthology relationships and the use of common ontologies. The key types of data are alleles and variants, gene function based on gene ontology annotations, phenotypes, association to human disease, gene expression, protein-protein and genetic interactions, and participation in pathways. The information is presented on uniform gene pages that allow facile summarization of information about each gene in each of the 7 organisms covered (budding yeast, roundworm Caenorhabditis elegans, fruit fly, house mouse, zebrafish, brown rat, and human). The harmonized knowledge is freely available on the alliancegenome.org portal, as downloadable files, and by APIs. We expect other existing and emerging knowledge bases to join in the effort to provide the union of useful data and features that each knowledge base currently provides.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Howe DG, Ramachandran S, Bradford YM, Fashena D, Toro S, Eagle A, Frazer K, Kalita P, Mani P, Martin R, Moxon ST, Paddock H, Pich C, Ruzicka L, Schaper K, Shao X, Singer A, Van Slyke CE, Westerfield M. The Zebrafish Information Network: major gene page and home page updates. Nucleic Acids Res 2021; 49:D1058-D1064. [PMID: 33170210 PMCID: PMC7778988 DOI: 10.1093/nar/gkaa1010] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/05/2020] [Accepted: 10/13/2020] [Indexed: 02/06/2023] Open
Abstract
The Zebrafish Information Network (ZFIN) (https://zfin.org/) is the database for the model organism, zebrafish (Danio rerio). ZFIN expertly curates, organizes, and provides a wide array of zebrafish genetic and genomic data, including genes, alleles, transgenic lines, gene expression, gene function, mutant phenotypes, orthology, human disease models, gene and mutant nomenclature, and reagents. New features at ZFIN include major updates to the home page and the gene page, the two most used pages at ZFIN. Data including disease models, phenotypes, expression, mutants and gene function continue to be contributed to The Alliance of Genome Resources for integration with similar data from other model organisms.
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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
| | - David Fashena
- 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
| | - Anne Eagle
- 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
| | - Ceri E 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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7
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Ruzicka L, Howe DG, Ramachandran S, Toro S, Van Slyke CE, Bradford YM, Eagle A, Fashena D, Frazer K, Kalita P, Mani P, Martin R, Moxon ST, Paddock H, Pich C, Schaper K, Shao X, Singer A, Westerfield M. The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources. Nucleic Acids Res 2020; 47:D867-D873. [PMID: 30407545 PMCID: PMC6323962 DOI: 10.1093/nar/gky1090] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2018] [Accepted: 10/25/2018] [Indexed: 11/13/2022] Open
Abstract
The Zebrafish Information Network (ZFIN) (https://zfin.org/) is the database for the model organism, zebrafish (Danio rerio). ZFIN expertly curates, organizes and provides a wide array of zebrafish genetic and genomic data, including genes, alleles, transgenic lines, gene expression, gene function, mutant phenotypes, orthology, human disease models, nomenclature and reagents. New features at ZFIN include increased support for genomic regions and for non-coding genes, and support for more expressive Gene Ontology annotations. ZFIN has recently taken over maintenance of the zebrafish reference genome sequence as part of the Genome Reference Consortium. ZFIN is also a founding member of the Alliance of Genome Resources, a collaboration of six model organism databases (MODs) and the Gene Ontology Consortium (GO). The recently launched Alliance portal (https://alliancegenome.org) provides a unified, comparative view of MOD, GO, and human data, and facilitates foundational and translational biomedical research.
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Affiliation(s)
- Leyla Ruzicka
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
| | - Douglas G Howe
- 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 E Van Slyke
- 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
| | - 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
| | - Monte Westerfield
- The Institute of Neuroscience, University of Oregon, Eugene, OR 97403-1254, USA
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Howe DG, Blake JA, Bradford YM, Bult CJ, Calvi BR, Engel SR, Kadin JA, Kaufman TC, Kishore R, Laulederkind SJF, Lewis SE, Moxon SAT, Richardson JE, Smith C. Model organism data evolving in support of translational medicine. Lab Anim (NY) 2018; 47:277-289. [PMID: 30224793 DOI: 10.1038/s41684-018-0150-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 08/13/2018] [Indexed: 02/07/2023]
Abstract
Model organism databases (MODs) have been collecting and integrating biomedical research data for 30 years and were designed to meet specific needs of each model organism research community. The contributions of model organism research to understanding biological systems would be hard to overstate. Modern molecular biology methods and cost reductions in nucleotide sequencing have opened avenues for direct application of model organism research to elucidating mechanisms of human diseases. Thus, the mandate for model organism research and databases has now grown to include facilitating use of these data in translational applications. Challenges in meeting this opportunity include the distribution of research data across many databases and websites, a lack of data format standards for some data types, and sustainability of scale and cost for genomic database resources like MODs. The issues of widely distributed data and application of data standards are some of the challenges addressed by FAIR (Findable, Accessible, Interoperable, and Re-usable) data principles. The Alliance of Genome Resources is now moving to address these challenges by bringing together expertly curated research data from fly, mouse, rat, worm, yeast, zebrafish, and the Gene Ontology consortium. Centralized multi-species data access, integration, and format standardization will lower the data utilization barrier in comparative genomics and translational applications and will provide a framework in which sustainable scale and cost can be addressed. This article presents a brief historical perspective on how the Alliance model organisms are complementary and how they have already contributed to understanding the etiology of human diseases. In addition, we discuss four challenges for using data from MODs in translational applications and how the Alliance is working to address them, in part by applying FAIR data principles. Ultimately, combined data from these animal models are more powerful than the sum of the parts.
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Affiliation(s)
- Douglas G Howe
- The Institute of Neuroscience, University of Oregon, Eugene, OR, USA.
| | | | - Yvonne M Bradford
- The Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | | | - Brian R Calvi
- Department of Biology, Indiana University, Bloomington, IN, USA
| | - Stacia R Engel
- Department of Genetics, Stanford University, Palo Alto, CA, USA
| | | | | | - Ranjana Kishore
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Stanley J F Laulederkind
- Department of Biomedical Engineering, Medical College of Wisconsin and Marquette University, Milwaukee, WI, USA
| | - Suzanna E Lewis
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Sierra A T Moxon
- The Institute of Neuroscience, University of Oregon, Eugene, OR, USA
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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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Bradford YM, Toro S, Ramachandran S, Ruzicka L, Howe DG, Eagle A, Kalita P, Martin R, Taylor Moxon SA, Schaper K, Westerfield M. Zebrafish Models of Human Disease: Gaining Insight into Human Disease at ZFIN. ILAR J 2017; 58:4-16. [PMID: 28838067 PMCID: PMC5886338 DOI: 10.1093/ilar/ilw040] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 12/12/2016] [Accepted: 12/19/2016] [Indexed: 12/18/2022] Open
Abstract
The Zebrafish Model Organism Database (ZFIN; https://zfin.org) is the central resource for genetic, genomic, and phenotypic data for zebrafish (Danio rerio) research. ZFIN continuously assesses trends in zebrafish research, adding new data types and providing data repositories and tools that members of the research community can use to navigate data. The many research advantages and flexibility of manipulation of zebrafish have made them an increasingly attractive animal to model and study human disease.To facilitate disease-related research, ZFIN developed support to provide human disease information as well as annotation of zebrafish models of human disease. Human disease term pages at ZFIN provide information about disease names, synonyms, and references to other databases as well as a list of publications reporting studies of human diseases in which zebrafish were used. Zebrafish orthologs of human genes that are implicated in human disease etiology are routinely studied to provide an understanding of the molecular basis of disease. Therefore, a list of human genes involved in the disease with their corresponding zebrafish ortholog is displayed on the disease page, with links to additional information regarding the genes and existing mutations. Studying human disease often requires the use of models that recapitulate some or all of the pathologies observed in human diseases. Access to information regarding existing and published models can be critical, because they provide a tractable way to gain insight into the phenotypic outcomes of the disease. ZFIN annotates zebrafish models of human disease and supports retrieval of these published models by listing zebrafish models on the disease term page as well as by providing search interfaces and data download files to access the data. The improvements ZFIN has made to annotate, display, and search data related to human disease, especially zebrafish models for disease and disease-associated gene information, should be helpful to researchers and clinicians considering the use of zebrafish to study human disease.
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Affiliation(s)
- Yvonne M. Bradford
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Sabrina Toro
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Sridhar Ramachandran
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Leyla Ruzicka
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Douglas G. Howe
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Anne Eagle
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Patrick Kalita
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Ryan Martin
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Sierra A. Taylor Moxon
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Kevin Schaper
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
| | - Monte Westerfield
- Yvonne M. Bradford, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sabrina Toro, PhD, is a scientific curator for the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sridhar Ramachandran, MS, is a scientific curator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Leyla Ruzicka, PhD, is a scientific curator and senior research associate at the Zebrafish Model Organism Database, at the University of Oregon in Eugene, Oregon. Douglas G. Howe, PhD, is the Data Curation Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Anne Eagle, MSCS, is the Software Development and Project Manager at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Patrick Kalita, MS, is a software developer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Ryan Martin, MS, is a systems administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Sierra A. Taylor Moxon, BA, is the Database Administrator at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Kevin Schaper, BS, is a software engineer at the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon. Monte Westerfield, PhD, is a Professor of Biology in the Institute of Neuroscience and directs the Zebrafish Model Organism Database at the University of Oregon in Eugene, Oregon.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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12
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Diehl AD, Meehan TF, Bradford YM, Brush MH, Dahdul WM, Dougall DS, He Y, Osumi-Sutherland D, Ruttenberg A, Sarntivijai S, Van Slyke CE, Vasilevsky NA, Haendel MA, Blake JA, Mungall CJ. The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability. J Biomed Semantics 2016; 7:44. [PMID: 27377652 PMCID: PMC4932724 DOI: 10.1186/s13326-016-0088-7] [Citation(s) in RCA: 134] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Accepted: 06/23/2016] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND The Cell Ontology (CL) is an OBO Foundry candidate ontology covering the domain of canonical, natural biological cell types. Since its inception in 2005, the CL has undergone multiple rounds of revision and expansion, most notably in its representation of hematopoietic cells. For in vivo cells, the CL focuses on vertebrates but provides general classes that can be used for other metazoans, which can be subtyped in species-specific ontologies. CONSTRUCTION AND CONTENT Recent work on the CL has focused on extending the representation of various cell types, and developing new modules in the CL itself, and in related ontologies in coordination with the CL. For example, the Kidney and Urinary Pathway Ontology was used as a template to populate the CL with additional cell types. In addition, subtypes of the class 'cell in vitro' have received improved definitions and labels to provide for modularity with the representation of cells in the Cell Line Ontology and Reagent Ontology. Recent changes in the ontology development methodology for CL include a switch from OBO to OWL for the primary encoding of the ontology, and an increasing reliance on logical definitions for improved reasoning. UTILITY AND DISCUSSION The CL is now mandated as a metadata standard for large functional genomics and transcriptomics projects, and is used extensively for annotation, querying, and analyses of cell type specific data in sequencing consortia such as FANTOM5 and ENCODE, as well as for the NIAID ImmPort database and the Cell Image Library. The CL is also a vital component used in the modular construction of other biomedical ontologies-for example, the Gene Ontology and the cross-species anatomy ontology, Uberon, use CL to support the consistent representation of cell types across different levels of anatomical granularity, such as tissues and organs. CONCLUSIONS The ongoing improvements to the CL make it a valuable resource to both the OBO Foundry community and the wider scientific community, and we continue to experience increased interest in the CL both among developers and within the user community.
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Affiliation(s)
- Alexander D. Diehl
- />Department of Neurology, University at Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY 14203 USA
| | - Terrence F. Meehan
- />European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD UK
| | - Yvonne M. Bradford
- />ZFIN, the Zebrafish Model Organism Database, 5291 University of Oregon, Eugene, OR 97403 USA
| | - Matthew H. Brush
- />Ontology Development Group, Library, Oregon Health and Science University, Portland, Oregon 97239 USA
| | - Wasila M. Dahdul
- />Department of Biology, University of South Dakota, Vermillion, SD 57069 USA
- />National Evolutionary Synthesis Center, Durham, NC 27705 USA
| | - David S. Dougall
- />Southwestern Medical Center, University of Texas, Dallas, TX 75235 USA
| | - Yongqun He
- />Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI 48109 USA
| | - David Osumi-Sutherland
- />European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD UK
| | - Alan Ruttenberg
- />Oral Diagnostics Sciences, University at Buffalo School of Dental Medicine, Buffalo, NY 14210 USA
| | - Sirarat Sarntivijai
- />European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD UK
| | - Ceri E. Van Slyke
- />ZFIN, the Zebrafish Model Organism Database, 5291 University of Oregon, Eugene, OR 97403 USA
| | - Nicole A. Vasilevsky
- />Ontology Development Group, Library, Oregon Health and Science University, Portland, Oregon 97239 USA
| | - Melissa A. Haendel
- />Ontology Development Group, Library, Oregon Health and Science University, Portland, Oregon 97239 USA
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13
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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. A scientist's guide for submitting data to ZFIN. Methods Cell Biol 2016; 135:451-81. [PMID: 27443940 DOI: 10.1016/bs.mcb.2016.04.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The Zebrafish Model Organism Database (ZFIN; zfin.org) serves as the central repository for genetic and genomic data produced using zebrafish (Danio rerio). Data in ZFIN are either manually curated from peer-reviewed publications or submitted directly to ZFIN from various data repositories. Data types currently supported include mutants, transgenic lines, DNA constructs, gene expression, phenotypes, antibodies, morpholinos, TALENs, CRISPRs, disease models, movies, and images. The rapidly changing methods of genomic science have increased the production of data that cannot readily be represented in standard journal publications. These large data sets require web-based presentation. As the central repository for zebrafish research data, it has become increasingly important for ZFIN to provide the zebrafish research community with support for their data sets and guidance on what is required to submit these data to ZFIN. Regardless of their volume, all data that are submitted for inclusion in ZFIN must include a minimum set of information that describes the data. The aim of this chapter is to identify data types that fit into the current ZFIN database and explain how to provide those data in the optimal format for integration. We identify the required and optional data elements, define jargon, and present tools and templates that can help with the acquisition and organization of data as they are being prepared for submission to ZFIN. This information will also appear in the ZFIN wiki, where it will be updated as our services evolve over time.
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Affiliation(s)
- D G Howe
- University of Oregon, Eugene, OR, United States
| | | | - A Eagle
- University of Oregon, Eugene, OR, United States
| | - D Fashena
- University of Oregon, Eugene, OR, United States
| | - K Frazer
- University of Oregon, Eugene, OR, United States
| | - P Kalita
- University of Oregon, Eugene, OR, United States
| | - P Mani
- University of Oregon, Eugene, OR, United States
| | - R Martin
- University of Oregon, Eugene, OR, United States
| | - S T Moxon
- University of Oregon, Eugene, OR, United States
| | - H Paddock
- University of Oregon, Eugene, OR, United States
| | - C Pich
- University of Oregon, Eugene, OR, United States
| | | | - L Ruzicka
- University of Oregon, Eugene, OR, United States
| | - K Schaper
- University of Oregon, Eugene, OR, United States
| | - X Shao
- University of Oregon, Eugene, OR, United States
| | - A Singer
- University of Oregon, Eugene, OR, United States
| | - S Toro
- University of Oregon, Eugene, OR, United States
| | - C Van Slyke
- University of Oregon, Eugene, OR, United States
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Ruzicka L, Bradford YM, Frazer K, Howe DG, Paddock H, Ramachandran S, Singer A, Toro S, Van Slyke CE, Eagle AE, Fashena D, Kalita P, Knight J, Mani P, Martin R, Moxon SAT, Pich C, Schaper K, Shao X, Westerfield M. ZFIN, The zebrafish model organism database: Updates and new directions. Genesis 2015; 53:498-509. [PMID: 26097180 DOI: 10.1002/dvg.22868] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 06/16/2015] [Accepted: 06/17/2015] [Indexed: 12/19/2022]
Abstract
The Zebrafish Model Organism Database (ZFIN; http://zfin.org) is the central resource for genetic and genomic data from zebrafish (Danio rerio) research. ZFIN staff curate detailed information about genes, mutants, genotypes, reporter lines, sequences, constructs, antibodies, knockdown reagents, expression patterns, phenotypes, gene product function, and orthology from publications. Researchers can submit mutant, transgenic, expression, and phenotype data directly to ZFIN and use the ZFIN Community Wiki to share antibody and protocol information. Data can be accessed through topic-specific searches, a new site-wide search, and the data-mining resource ZebrafishMine (http://zebrafishmine.org). Data download and web service options are also available. ZFIN collaborates with major bioinformatics organizations to verify and integrate genomic sequence data, provide nomenclature support, establish reciprocal links, and participate in the development of standardized structured vocabularies (ontologies) used for data annotation and searching. ZFIN-curated gene, function, expression, and phenotype data are available for comparative exploration at several multi-species resources. The use of zebrafish as a model for human disease is increasing. ZFIN is supporting this growing area with three major projects: adding easy access to computed orthology data from gene pages, curating details of the gene expression pattern changes in mutant fish, and curating zebrafish models of human diseases.
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Affiliation(s)
| | | | - Ken Frazer
- ZFIN, 5291 University of Oregon, Eugene, Oregon
| | | | | | | | - Amy Singer
- ZFIN, 5291 University of Oregon, Eugene, Oregon
| | | | | | | | | | | | | | - Prita Mani
- ZFIN, 5291 University of Oregon, Eugene, Oregon
| | - Ryan Martin
- ZFIN, 5291 University of Oregon, Eugene, Oregon
| | | | | | | | - Xiang Shao
- ZFIN, 5291 University of Oregon, Eugene, Oregon
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15
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Van Slyke CE, Bradford YM, Westerfield M, Haendel MA. The zebrafish anatomy and stage ontologies: representing the anatomy and development of Danio rerio. J Biomed Semantics 2014; 5:12. [PMID: 24568621 PMCID: PMC3944782 DOI: 10.1186/2041-1480-5-12] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2013] [Accepted: 02/07/2014] [Indexed: 01/07/2023] Open
Abstract
Background The Zebrafish Anatomy Ontology (ZFA) is an OBO Foundry ontology that is used in conjunction with the Zebrafish Stage Ontology (ZFS) to describe the gross and cellular anatomy and development of the zebrafish, Danio rerio, from single cell zygote to adult. The zebrafish model organism database (ZFIN) uses the ZFA and ZFS to annotate phenotype and gene expression data from the primary literature and from contributed data sets. Results The ZFA models anatomy and development with a subclass hierarchy, a partonomy, and a developmental hierarchy and with relationships to the ZFS that define the stages during which each anatomical entity exists. The ZFA and ZFS are developed utilizing OBO Foundry principles to ensure orthogonality, accessibility, and interoperability. The ZFA has 2860 classes representing a diversity of anatomical structures from different anatomical systems and from different stages of development. Conclusions The ZFA describes zebrafish anatomy and development semantically for the purposes of annotating gene expression and anatomical phenotypes. The ontology and the data have been used by other resources to perform cross-species queries of gene expression and phenotype data, providing insights into genetic relationships, morphological evolution, and models of human disease.
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16
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Howe DG, Bradford YM, Conlin T, Eagle AE, Fashena D, Frazer K, Knight J, Mani P, Martin R, Moxon SAT, Paddock H, Pich C, Ramachandran S, Ruef BJ, Ruzicka L, Schaper K, Shao X, Singer A, Sprunger B, Van Slyke CE, Westerfield M. ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics. Nucleic Acids Res 2012; 41:D854-60. [PMID: 23074187 PMCID: PMC3531097 DOI: 10.1093/nar/gks938] [Citation(s) in RCA: 177] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
ZFIN, the Zebrafish Model Organism Database (http://zfin.org), is the central resource for zebrafish genetic, genomic, phenotypic and developmental data. ZFIN curators manually curate and integrate comprehensive data involving zebrafish genes, mutants, transgenics, phenotypes, genotypes, gene expressions, morpholinos, antibodies, anatomical structures and publications. Integrated views of these data, as well as data gathered through collaborations and data exchanges, are provided through a wide selection of web-based search forms. Among the vertebrate model organisms, zebrafish are uniquely well suited for rapid and targeted generation of mutant lines. The recent rapid production of mutants and transgenic zebrafish is making management of data associated with these resources particularly important to the research community. Here, we describe recent enhancements to ZFIN aimed at improving our support for mutant and transgenic lines, including (i) enhanced mutant/transgenic search functionality; (ii) more expressive phenotype curation methods; (iii) new downloads files and archival data access; (iv) incorporation of new data loads from laboratories undertaking large-scale generation of mutant or transgenic lines and (v) new GBrowse tracks for transgenic insertions, genes with antibodies and morpholinos.
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Affiliation(s)
- Douglas G Howe
- ZFIN, 5291 University of Oregon, Eugene, OR 97403-5291, USA.
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