ZFIN Research Articles

The application of zebrafish model in the study of cleft lip and palate development: A systematic review

ObjectiveCraniofacial growth and development are more than a scientific curiosity; it is of tremendous interest to clinicians. Insights into the genetic etiology of cleft lip and palate development are essential for improving diagnosis and treatment planning. The purpose of this systematic review was to utilize a zebrafish model to highlight the role of the IRF6 gene in cleft lip and palate development in humans. DataThis review adhered to the guidelines outlined in the PRISMA statement. Nine studies were included in the analysis. SourcesThis study used major scientific databases such as MEDLINE, EMBASE, Web of Science, and the Zebrafish Information Network and yielded 1275 articles. Two reviewers performed the screening using COVIDENCE™ independently, and a third reviewer resolved any conflicts. Study selectionAfter applying the inclusion and exclusion criteria and screening, nine studies were included in the analysis. The Systematic Review Center for Laboratory Animal Experimentation's (SYRCLE's) risk-of-bias tool was used to assess the quality of the included studies. ResultsThe main outcome supports the role of the IRF6 gene in zebrafish periderm development and embryogenesis, and IRF6 variations result in cleft lip and palate development. The overall SYRCLE risk of bias was low-medium. ConclusionIn conclusion, this review indicated the critical role of the IRF6 gene and its downstream genes (GRHL3, KLF17, and ESRP1/2) in the development of cleft lip and palate in zebrafish models. Genetic mutation zebrafish models provide a high level of insights into zebrafish craniofacial development. Clinical relevancethis review provides a productive avenue for understanding the powerful and conserved zebrafish model for investigating the pathogenesis of human cleft lip and palate.

From multiallele fish to nonstandard environments, how ZFIN assigns phenotypes, human disease models, and gene expression annotations to genes.

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.

Harmonizing model organism data in the Alliance of Genome Resources.

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.

Zebrafish information network, the knowledgebase for Danio rerio research.

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.

The Zebrafish Information Network: major gene page and home page updates.

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.

The Zebrafish Information Network: new support for non-coding genes, richer Gene Ontology annotations and the Alliance of Genome Resources.

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.

Analysis of novel caudal hindbrain genes reveals different regulatory logic for gene expression in rhombomere 4 versus 5/6 in embryonic zebrafish

BackgroundPrevious work aimed at understanding the gene regulatory networks (GRNs) governing caudal hindbrain formation identified morphogens such as Retinoic Acid (RA) and Fibroblast growth factors (FGFs), as well as transcription factors like hoxb1b, hoxb1a, hnf1ba, and valentino as being required for rhombomere (r) r4-r6 formation in zebrafish. Considering that the caudal hindbrain is relatively complex – for instance, unique sets of neurons are formed in each rhombomere segment – it is likely that additional essential genes remain to be identified and integrated into the caudal hindbrain GRN.MethodsBy taking advantage of gene expression data available in the Zebrafish Information Network (ZFIN), we identified 84 uncharacterized genes that are expressed in r4-r6. We selected a representative set of 22 genes and assayed their expression patterns in hoxb1b, hoxb1a, hnf1b, and valentino mutants with the goal of positioning them in the caudal hindbrain GRN. We also investigated the effects of RA and FGF on the expression of this gene set. To examine whether these genes are necessary for r4-r6 development, we analyzed germline mutants for six of the genes (gas6, gbx1, sall4, eglf6, celf2, and greb1l) for defects in hindbrain development.ResultsOur results reveal that r4 gene expression is unaffected by the individual loss of hoxb1b, hoxb1a or RA, but is under the combinatorial regulation of RA together with hoxb1b. In contrast, r5/r6 gene expression is dependent on RA, FGF, hnf1ba and valentino – as individual loss of these factors abolishes r5/r6 gene expression. Our analysis of six mutant lines did not reveal rhombomere or neuronal defects, but transcriptome analysis of one line (gas6 mutant) identified expression changes for genes involved in several developmental processes – suggesting that these genes may have subtle roles in hindbrain development.ConclusionWe conclude that r4-r6 formation is relatively robust, such that very few genes are absolutely required for this process. However, there are mechanistic differences in r4 versus r5/r6, such that no single factor is required for r4 development while several genes are individually required for r5/r6 formation.

A statistical approach to identify, monitor, and manage incomplete curated data sets

BackgroundMany biological knowledge bases gather data through expert curation of published literature. High data volume, selective partial curation, delays in access, and publication of data prior to the ability to curate it can result in incomplete curation of published data. Knowing which data sets are incomplete and how incomplete they are remains a challenge. Awareness that a data set may be incomplete is important for proper interpretation, to avoiding flawed hypothesis generation, and can justify further exploration of published literature for additional relevant data. Computational methods to assess data set completeness are needed. One such method is presented here.ResultsIn this work, a multivariate linear regression model was used to identify genes in the Zebrafish Information Network (ZFIN) Database having incomplete curated gene expression data sets. Starting with 36,655 gene records from ZFIN, data aggregation, cleansing, and filtering reduced the set to 9870 gene records suitable for training and testing the model to predict the number of expression experiments per gene. Feature engineering and selection identified the following predictive variables: the number of journal publications; the number of journal publications already attributed for gene expression annotation; the percent of journal publications already attributed for expression data; the gene symbol; and the number of transgenic constructs associated with each gene. Twenty-five percent of the gene records (2483 genes) were used to train the model. The remaining 7387 genes were used to test the model. One hundred and twenty-two and 165 of the 7387 tested genes were identified as missing expression annotations based on their residuals being outside the model lower or upper 95% confidence interval respectively. The model had precision of 0.97 and recall of 0.71 at the negative 95% confidence interval and precision of 0.76 and recall of 0.73 at the positive 95% confidence interval.ConclusionsThis method can be used to identify data sets that are incompletely curated, as demonstrated using the gene expression data set from ZFIN. This information can help both database resources and data consumers gauge when it may be useful to look further for published data to augment the existing expertly curated information.

Curating zebrafish models of human disease at ZFIN

Curating zebrafish models of human disease at ZFIN

William Martin Gelbart 1945-2015.

the database as new data flowed in. This required considerable organizational skills, a deep knowledge and appreciation of Drosophila genetics and an ability to integrate technological advances. For his work with Flybase, Bill was awarded the 2010 Genetics Society of America George W. Beadle Medal for outstanding contributions to the community of genetics researchers (see photo). Flybase was the first biological database centered on a model organism. Others have followed suit, and Bill played an important advisory role for WormBase, ZFIN (Zebrafish Information Network), Mouse Genetics Informatics (MGI) and the Human Genome Project. Throughout his career Bill demonstrated a sincere commitment to sharing his knowledge through teaching. Aside from teaching genetics in the classroom, Bill spent hours alongside his trainees in the fly room. Like all of the best teachers, he challenged us to work through problems, guiding us when we were off track but enabling us to come up with the answer in the end. His mentorship was marked by a strong belief in inclusion. Bill served for many years with the Harvard Foundation for Intercultural and Race Relations to promote diversity and equity and was honored with the Harvard Distinguished Faculty Award in 2014. Bill was also instrumental in developing the Frontiers in Genomics program at the University of New Mexico, where he fostered a sense of community, regardless of ethnicity, to which the students responded with passion and deep gratitude. Bill embodied the love of family and zest for science in equal parts, always supplemented with a mischievous sense of humor. He gave fatherly advice to the expectant parents in his lab, and taught his children ‘Mr. Potato Head genetics’ to explain the appearance of a grandparent’s eyes in a newborn child. Bill is survived by his beloved, devoted wife, Susan; his loving daughters Marnie Carey, Courtney Phelon and Jennifer Walsh; his adoring grandchildren Delilah, Theodore and Amelia; his sons-in-law James Carey and Scott Phelon; brother Herb and sister-in-law Susan; and other in-laws, nieces, nephews and dear friends. Bill leaves behind a community, his family, of geneticists, genomic explorers and lay enthusiasts who will transmit the wonders of genetics to future generations. William Martin Gelbart 1945–2015

In situ hybridization on whole-mount zebrafish embryos and young larvae.

The in situ hybridization uses a labeled complementary RNA strand to localize a specific mRNA sequence in a tissue. This method is widely used to describe the spatial and temporal expression patterns of developmentally regulated genes. Here we describe a technique that employs in vitro synthesized RNA tagged with digoxigenin uridine-5'-triphosphate (UTP) to determine expression of genes on whole-mount zebrafish embryos and young larvae. Following hybridization, the localization of the specific transcript is visualized immunohistochemically using an anti-digoxigenin antibody conjugated to alkaline phosphatase that hydrolyzes the 5-bromo-4-chloro-3-indolyl phosphate (BCIP) to 5-bromo-4-chloro-3-indole and inorganic phosphate. 5-Bromo-4-chloro-3-indole can be oxidized by nitro blue tetrazolium (NBT), which forms an insoluble dark blue diformazan precipitate after reduction.This protocol has been used for performing large-scale analyses of the spatial and temporal expression of the zebrafish genome, resulting in the description of more than 8,400 expression patterns that are available at the zebrafish information network (ZFIN.org) in the gene expression section.

Mapping of Zebrafish Research: A Global Outlook

On the basis of analysis of 17,151 records on zebrafish identified from Zebrafish Information Network: the zebrafish model organism database and Web of Science, the research performance on this model organism has been evaluated. The earliest research work on zebrafish as reflected in the databases goes back to 1951. After a rather slow growth till the 1980s, research on zebrafish gained momentum in the 1990s. Analysis shows a rapid and consistent increase in the publication output with 226 publications in the year 1996, to 1929 publications in the year 2012. The prominent areas of zebrafish research, journals, and leading authors as reflected from the research output have been identified. USA is the most productive country with 8196 articles. The most frequently used keywords were also determined to gain insights about the research trends and some of the commonly used keywords other than zebrafish and Danio rerio are development, retina, and gene expression.

The Zebrafish Insertion Collection (ZInC): a web based, searchable collection of zebrafish mutations generated by DNA insertion

ZInC (Zebrafish Insertional Collection, http://research.nhgri.nih.gov/ZInC/) is a web-searchable interface of insertional mutants in zebrafish. Over the last two decades, the zebrafish has become a popular model organism for studying vertebrate development as well as for modeling human diseases. To facilitate such studies, we are generating a genome-wide knockout resource that targets every zebrafish protein-coding gene. All mutant fish are freely available to the scientific community through the Zebrafish International Resource Center (ZIRC). To assist researchers in finding mutant and insertion information, we developed a comprehensive database with a web front-end, the ZInC. It can be queried using multiple types of input such as ZFIN (Zebrafish Information Network) IDs, UniGene accession numbers and gene symbols from zebrafish, human and mouse. In the future, ZInC may include data from other insertional mutation projects as well. ZInC cross-references all integration data with the ZFIN (http://zfin.org/).

Global analysis of the haematopoietic and endothelial transcriptome during zebrafish development

In this paper, we use zebrafish embryos to characterise the transcriptome of the developing blood and endothelium, two cell types that are closely associated during development. High-throughput sequencing identified 754 genes whose transcripts are enriched threefold or more in blood and/or vascular endothelial cells compared with the rest of the embryo at 26–28h post fertilisation. Of these genes, 388 were classified as novel to these cell types after cross-reference with PubMed and the zebrafish information network (ZFIN). Analysis by quantitative PCR and in situ hybridisation showed that 83% (n=41) of these novel genes are expressed in blood or vascular endothelium. Of 10 novel genes selected for knockdown by antisense morpholino oligonucleotides, we confirmed that two, tmem88a and trim2a, are required for primitive erythropoiesis and myelopoiesis. Our results provide a catalogue of genes whose expression is enriched in the developing blood and endothelium in zebrafish, many of which will be required for the development of those cell types, both in fish and in mammals.

Zfishbook: connecting you to a world of zebrafish revertible mutants

zfishbook is an internet-based openly accessible database of revertible protein trap gene-breaking transposon (GBT) insertional mutants in the zebrafish, Danio rerio. In these lines, a monomeric red fluorescent protein (mRFP) is encoded by an artificial 3′ exon, resulting in a translational fusion to endogenous loci. The natural transparency of the zebrafish embryo and larvae greatly facilitates the expression annotation of tagged loci using new capillary-based SCORE imaging methods. Molecular annotation of each line is facilitated by cloning methods such as 5′-Rapid Amplification of cDNA Ends (RACE) and inverse polymerase chain reaction (PCR). zfishbook (http://zfishbook.org) represents a central hub for molecular, expression and mutational information about GBT lines from the International Zebrafish Protein Trap Consortium (IZPTC) that includes researchers from around the globe. zfishbook is open to community-wide contributions including expression and functional annotation. zfishbook also represents a central location for information on how to obtain these lines from diverse members of the IZPTC and integration within other zebrafish community databases including Zebrafish Information Network (ZFIN), Ensembl and National Center for Biotechnology Information.

The Impact of Gene Expression Regulation on Evolution of Extracellular Signaling Pathways

Extracellular protein interactions are crucial to the development of multicellular organisms because they initiate signaling pathways and enable cellular recognition cues. Despite their importance, extracellular protein interactions are often under-represented in large scale protein interaction data sets because most high throughput assays are not designed to detect low affinity extracellular interactions. Due to the lack of a comprehensive data set, the evolution of extracellular signaling pathways has remained largely a mystery. We investigated this question using a combined data set of physical pairwise interactions between zebrafish extracellular proteins, mainly from the immunoglobulin superfamily and leucine-rich repeat families, and their spatiotemporal expression profiles. We took advantage of known homology between proteins to estimate the relative rates of changes of four parameters after gene duplication, namely extracellular protein interaction, expression pattern, and the divergence of extracellular and intracellular protein sequences. We showed that change in expression profile is a major contributor to the evolution of signaling pathways followed by divergence in intracellular protein sequence, whereas extracellular sequence and interaction profiles were relatively more conserved. Rapidly evolving expression profiles will eventually drive other parameters to diverge more quickly because differentially expressed proteins get exposed to different environments and potential binding partners. This allows homologous extracellular receptors to attain specialized functions and become specific to tissues and/or developmental stages.

Update On The Zebrafish Genome Project

The zebrafish genome, which consists of 25 linkage groups and is ~1.4Gb in size, is being sequenced, finished and analysed in its entirety at the Wellcome Trust Sanger Institute. The manual annotation is provided by the Human and Vertebrate Analysis and Annotation (HAVANA) group and is released at regular intervals onto the Vertebrate Genome Annotation (Vega) database ("http://vega.sanger.ac.uk":http://vega.sanger.ac.uk) and may be viewed as a DAS source in Ensembl ("http://www.ensembl.org/Danio_rerio":http://www.ensembl.org/Danio_rerio). Our annotation is compiled in close collaboration with the Zebrafish Information Network (ZFIN) ("http://zfin.org/":http://zfin.org/), which has enabled us to provide an accurate, dynamic and distinct resource for the zebrafish community as a whole.Annotation is based on the reference genome sequence, which is derived from a minimal tile path assembly composed of clones that have been mapped, sequenced and meticulously finished to a sequence accuracy of over 99.9% per 100Kb. We expect to have 90% of the zebrafish genome to a finished standard by the end of 2009. Our approach to annotation uses two strategies. Firstly, the generation and annotation of gene lists comprising of cDNA (8995 in total) found in ZFIN that maps to our current reference assembly. And, secondly, by using clone by clone annotation, where we have annotated over 3200 genes, 1100 transcripts and 130 pseudogenes across 11 linkage groups and 3530 clones. As well as our on-going genome annotation we also welcome external annotation requests for specific genes and regions, which already include the annotation of 93 genes associated with human obesity and the scheduled annotation of the Major Histocompatability Complex, which will utilise reference sequence taken from libraries of a double haploid fish and complement our previous work on the human and mouse MHC already published. External requests and any feedback, questions or requests can be sent to zfish-help [at] sanger.ac.uk.

Update On The Zebrafish Genome Project

AbstractThe zebrafish genome, which consists of 25 linkage groups and is ~1.4Gb in size, is being sequenced, finished and analysed in its entirety at the Wellcome Trust Sanger Institute. The manual annotation is provided by the Human and Vertebrate Analysis and Annotation (HAVANA) group and is released at regular intervals onto the Vertebrate Genome Annotation (Vega) database ("http://vega.sanger.ac.uk":http://vega.sanger.ac.uk) and may be viewed as a DAS source in Ensembl ("http://www.ensembl.org/Danio_rerio":http://www.ensembl.org/Danio_rerio). Our annotation is compiled in close collaboration with the Zebrafish Information Network (ZFIN) ("http://zfin.org/":http://zfin.org/), which has enabled us to provide an accurate, dynamic and distinct resource for the zebrafish community as a whole.Annotation is based on the reference genome sequence, which is derived from a minimal tile path assembly composed of clones that have been mapped, sequenced and meticulously finished to a sequence accuracy of over 99.9% per 100Kb. We expect to have 90% of the zebrafish genome to a finished standard by the end of 2009. Our approach to annotation uses two strategies. Firstly, the generation and annotation of gene lists comprising of cDNA (8995 in total) found in ZFIN that maps to our current reference assembly. And, secondly, by using clone by clone annotation, where we have annotated over 3200 genes, 1100 transcripts and 130 pseudogenes across 11 linkage groups and 3530 clones. As well as our on-going genome annotation we also welcome external annotation requests for specific genes and regions, which already include the annotation of 93 genes associated with human obesity and the scheduled annotation of the Major Histocompatability Complex, which will utilise reference sequence taken from libraries of a double haploid fish and complement our previous work on the human and mouse MHC already published. External requests and any feedback, questions or requests can be sent to zfish-help [at] sanger.ac.uk.

Analysis of the Zebrafish Proteome during Embryonic Development

The model organism zebrafish (Danio rerio) is particularly amenable to studies deciphering regulatory genetic networks in vertebrate development, biology, and pharmacology. Unraveling the functional dynamics of such networks requires precise quantitation of protein expression during organismal growth, which is incrementally challenging with progressive complexity of the systems. In an approach toward such quantitative studies of dynamic network behavior, we applied mass spectrometric methodology and rigorous statistical analysis to create comprehensive, high quality profiles of proteins expressed at two stages of zebrafish development. Proteins of embryos 72 and 120 h postfertilization (hpf) were isolated and analyzed both by two-dimensional (2D) LC followed by ESI-MS/MS and by 2D PAGE followed by MALDI-TOF/TOF protein identification. We detected 1384 proteins from 327,906 peptide sequence identifications at 72 and 120 hpf with false identification rates of less than 1% using 2D LC-ESI-MS/MS. These included only approximately 30% of proteins that were identified by 2D PAGE-MALDI-TOF/TOF. Roughly 10% of all detected proteins were derived from hypothetical or predicted gene models or were entirely unannotated. Comparison of proteins expression by 2D DIGE revealed that proteins involved in energy production and transcription/translation were relatively more abundant at 72 hpf consistent with faster synthesis of cellular proteins during organismal growth at this time compared with 120 hpf. The data are accessible in a database that links protein identifications to existing resources including the Zebrafish Information Network database. This new resource should facilitate the selection of candidate proteins for targeted quantitation and refine systematic genetic network analysis in vertebrate development and biology.

The Zebrafish Information Network: the zebrafish model organism database provides expanded support for genotypes and phenotypes

The Zebrafish Information Network (ZFIN, http://zfin.org), the model organism database for zebrafish, provides the central location for curated zebrafish genetic, genomic and developmental data. Extensive data integration of mutant phenotypes, genes, expression patterns, sequences, genetic markers, morpholinos, map positions, publications and community resources facilitates the use of the zebrafish as a model for studying gene function, development, behavior and disease. Access to ZFIN data is provided via web-based query forms and through bulk data files. ZFIN is the definitive source for zebrafish gene and allele nomenclature, the zebrafish anatomical ontology (AO) and for zebrafish gene ontology (GO) annotations. ZFIN plays an active role in the development of cross-species ontologies such as the phenotypic quality ontology (PATO) and the gene ontology (GO). Recent enhancements to ZFIN include (i) a new home page and navigation bar, (ii) expanded support for genotypes and phenotypes, (iii) comprehensive phenotype annotations based on anatomical, phenotypic quality and gene ontologies, (iv) a BLAST server tightly integrated with the ZFIN database via ZFIN-specific datasets, (v) a global site search and (vi) help with hands-on resources.