2020 Xenopus Community White Paper
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Disease and Clinical Signs Poster
African Clawed Frog Xenopus laevis Diseases and Clinical Signs in Photographs Therese Jones-Green University Biomedical Services Abstract Reported clinical signs associated with ill health and Clinical signs found between 2016 to 2018 Many diseases of Xenopus laevis frogs have been described in the • Opened in 2005, the biofacility can hold up to 900 female and 240 disease Clinical signs found between 2016 to 2018 male frogs in a Marine Biotech (now serviced by MBK Installations Ltd.) • 80 recirculating aquatic system. • Buoyancy problems 70 bridge this gap using photographs taken of frogs with clinical signs. The system monitors parameters such as: temperature, pH, • • Changes in activity e.g. lethargy or easily startled. My aims are: conductivity, and Total Gas Pressure. 60 • Unusual amount of skin shedding. 2018 • To share my experiences, via images, to help improve the welfare and • Frogs are maintained on mains fed water with a 20% water exchange. 50 ases • Weight loss, or failure to feed correctly. c husbandry of this species. • 2017 • Coelomic (body cavity) distention. 40 • To stimulate a dialogue which results in further sharing of ideas and 2016 Whole body bloat. 30 information. • Frogs are held under a 12 hour light/dark cycle. • Number of • Each tank has a PVC enrichment tube (30cm x 10cm), with smoothed • Fungal strands/tufts. 20 Introduction cut edges. • Sores or tremors at extremities (forearms and toes). 10 Between January 2016 and October 2018, cases of ill health and disease • Frogs are fed three times a week with a commercial trout pellet. • Redness or red spots. 0 Oedema Red leg Red leg (bad Red leg Gas bubble Sores on forearm Opaque cornea Skeletal Growth (cartilage Scar Cabletie Missing claws Eggbound in a colony of Xenopus laevis frogs housed by the University Biological hormone) (nematodes) disease deformity under skin) • The focus of the research undertaken in the biofacility is embryonic and • Excessive slime/mucous production or not enough (dry dull skin). -
Creating the Gene Ontology Resource: Design and Implementation
Resource Creating the Gene Ontology Resource: Design and Implementation The Gene Ontology Consortium2 The exponential growth in the volume of accessible biological information has generated a confusion of voices surrounding the annotation of molecular information about genes and their products. The Gene Ontology (GO) project seeks to provide a set of structured vocabularies for specific biological domains that can be used to describe gene products in any organism. This work includes building three extensive ontologies to describe molecular function, biological process, and cellular component, and providing a community database resource that supports the use of these ontologies. The GO Consortium was initiated by scientists associated with three model organism databases: SGD, the Saccharomyces Genome database; FlyBase, the Drosophila genome database; and MGD/GXD, the Mouse Genome Informatics databases. Additional model organism database groups are joining the project. Each of these model organism information systems is annotating genes and gene products using GO vocabulary terms and incorporating these annotations into their respective model organism databases. Each database contributes its annotation files to a shared GO data resource accessible to the public at http://www.geneontology.org/. The GO site can be used by the community both to recover the GO vocabularies and to access the annotated gene product data sets from the model organism databases. The GO Consortium supports the development of the GO database resource and provides tools enabling curators and researchers to query and manipulate the vocabularies. We believe that the shared development of this molecular annotation resource will contribute to the unification of biological information. As the amount of biological information has grown, it has examining microarray expression data, sequencing genotypes become increasingly important to describe and classify bio- from a population, or identifying all glycolytic enzymes is logical objects in meaningful ways. -
Xenopus for Dummies.Docx
Xenopus for DUMMIES 1 Xenopus for DUMMIES OUTLINE Introduction ........................................................................................................................... 2 1. Why is Xenopus interesting for iGEM? ........................................................................... 4 2. Requirements before planning to work on Xenopus......................................................... 5 3. Guidelines to define an iGEM project with Xenopus ........................................................ 5 4. The micro-injection procedure ........................................................................................ 7 a. Step 1: Fertilized eggs ........................................................................................ 7 b. Step 2: DNA injection .......................................................................................... 7 c. Place the injected embryos in incubator 21°C ..................................................... 8 d. The following days .............................................................................................. 8 e. Embryos injection: efficiency ............................................................................... 8 5. The biobrick plasmids for Xenopus ................................................................................. 9 6. Xenopus debugging tool ............................................................................................... 10 a. How? ................................................................................................................ -
To Find Information About Arabidopsis Genes Leonore Reiser1, Shabari
UNIT 1.11 Using The Arabidopsis Information Resource (TAIR) to Find Information About Arabidopsis Genes Leonore Reiser1, Shabari Subramaniam1, Donghui Li1, and Eva Huala1 1Phoenix Bioinformatics, Redwood City, CA USA ABSTRACT The Arabidopsis Information Resource (TAIR; http://arabidopsis.org) is a comprehensive Web resource of Arabidopsis biology for plant scientists. TAIR curates and integrates information about genes, proteins, gene function, orthologs gene expression, mutant phenotypes, biological materials such as clones and seed stocks, genetic markers, genetic and physical maps, genome organization, images of mutant plants, protein sub-cellular localizations, publications, and the research community. The various data types are extensively interconnected and can be accessed through a variety of Web-based search and display tools. This unit primarily focuses on some basic methods for searching, browsing, visualizing, and analyzing information about Arabidopsis genes and genome, Additionally we describe how members of the community can share data using TAIR’s Online Annotation Submission Tool (TOAST), in order to make their published research more accessible and visible. Keywords: Arabidopsis ● databases ● bioinformatics ● data mining ● genomics INTRODUCTION The Arabidopsis Information Resource (TAIR; http://arabidopsis.org) is a comprehensive Web resource for the biology of Arabidopsis thaliana (Huala et al., 2001; Garcia-Hernandez et al., 2002; Rhee et al., 2003; Weems et al., 2004; Swarbreck et al., 2008, Lamesch, et al., 2010, Berardini et al., 2016). The TAIR database contains information about genes, proteins, gene expression, mutant phenotypes, germplasms, clones, genetic markers, genetic and physical maps, genome organization, publications, and the research community. In addition, seed and DNA stocks from the Arabidopsis Biological Resource Center (ABRC; Scholl et al., 2003) are integrated with genomic data, and can be ordered through TAIR. -
Association of DNA with Nuclear Matrix in in Vitro Assembled Nuclei
Cell Research (1997), 7, 107-117 Association of DNA with nuclear matrix in in vitro as- sembled nuclei induced by rDNA from Tetrahymena shang- haiensis in Xenopus egg extracts CHEN YING, BO ZHANG, XIU FEN LI, ZHONG HE ZHAI Department of Cell Biology and Genetics, College of Life Sciences, Peking University, Beijing 100871 ABSTRACT The nuclei assembled from exogenous DNA or chro- matin in egg extracts resemble their in vivo counterparts in many aspects. However, the distribution pattern of DNA in these nuclei remains unknown. We introduced rDNA from the macronuclei of Tetrahymena into Xenopus cell- free extracts to examine the association of specific DNA sequences with nuclear matrix (NM) in the nuclei assem- bled in vitro. Our previous works showed the 5'NTS (non- transcription sequences) of the rDNA specifically bind to the NM system in the macronuclei. We show now the rDNA could induce chromatin assembly and nuclear for- mation in Xenopus cell-free system. When we extracted the NM system and compared the binding affinity of differ- ent regions of rDNA with the NM system, we found that the 5'NTS still hold their binding affinity with insoluble structure of the assembled nuclei in the extracts of Xeno- pus eggs. Key words: Nuclear assembly, nuclear matrix, Xeno- pus egg extracts, Tetrahymena rDNA. On the occasion of Professor Lu Ji SHI's (L. C. Sze), eightieth birthday, we present this paper and extend our sincere greetings to Professor SHI. As we mentioned in our paper, in early 1950's, it is Professor SHI who first studied the behavior of exogenous homologous desoxyribose nucleoprotein (chromatin) in amphibian eggs. -
Use and Misuse of the Gene Ontology Annotations
Nature Reviews Genetics | AOP, published online 13 May 2008; doi:10.1038/nrg2363 REVIEWS Use and misuse of the gene ontology annotations Seung Yon Rhee*, Valerie Wood‡, Kara Dolinski§ and Sorin Draghici|| Abstract | The Gene Ontology (GO) project is a collaboration among model organism databases to describe gene products from all organisms using a consistent and computable language. GO produces sets of explicitly defined, structured vocabularies that describe biological processes, molecular functions and cellular components of gene products in both a computer- and human-readable manner. Here we describe key aspects of GO, which, when overlooked, can cause erroneous results, and address how these pitfalls can be avoided. The accumulation of data produced by genome-scale FIG. 1b). These characteristics of the GO structure enable research requires explicitly defined vocabularies to powerful grouping, searching and analysis of genes. describe the biological attributes of genes in order to allow integration, retrieval and computation of the Fundamental aspects of GO annotations data1. Arguably, the most successful example of system- A GO annotation associates a gene with terms in the atic description of biology is the Gene Ontology (GO) ontologies and is generated either by a curator or project2. GO is widely used in biological databases, automatically through predictive methods. Genes are annotation projects and computational analyses (there associated with as many terms as appropriate as well as are 2,960 citations for GO in version 3.0 of the ISI Web of with the most specific terms available to reflect what is Knowledge) for annotating newly sequenced genomes3, currently known about a gene. -
Enhanced XAO: the Ontology of Xenopus Anatomy And
Segerdell et al. Journal of Biomedical Semantics 2013, 4:31 http://www.jbiomedsem.com/content/4/1/31 JOURNAL OF BIOMEDICAL SEMANTICS RESEARCH Open Access Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase Erik Segerdell1*, Virgilio G Ponferrada2, Christina James-Zorn2, Kevin A Burns2, Joshua D Fortriede2, Wasila M Dahdul3,4, Peter D Vize5 and Aaron M Zorn2 Abstract Background: The African clawed frogs Xenopus laevis and Xenopus tropicalis are prominent animal model organisms. Xenopus research contributes to the understanding of genetic, developmental and molecular mechanisms underlying human disease. The Xenopus Anatomy Ontology (XAO) reflects the anatomy and embryological development of Xenopus. The XAO provides consistent terminology that can be applied to anatomical feature descriptions along with a set of relationships that indicate how each anatomical entity is related to others in the embryo, tadpole, or adult frog. The XAO is integral to the functionality of Xenbase (http://www. xenbase.org), the Xenopus model organism database. Results: We significantly expanded the XAO in the last five years by adding 612 anatomical terms, 2934 relationships between them, 640 synonyms, and 547 ontology cross-references. Each term now has a definition, so database users and curators can be certain they are selecting the correct term when specifying an anatomical entity. With developmental timing information now asserted for every anatomical term, the ontology provides internal checks that ensure high-quality gene expression and phenotype data annotation. The XAO, now with 1313 defined anatomical and developmental stage terms, has been integrated with Xenbase expression and anatomy term searches and it enables links between various data types including images, clones, and publications. -
Stages of Embryonic Development of the Zebrafish
DEVELOPMENTAL DYNAMICS 2032553’10 (1995) Stages of Embryonic Development of the Zebrafish CHARLES B. KIMMEL, WILLIAM W. BALLARD, SETH R. KIMMEL, BONNIE ULLMANN, AND THOMAS F. SCHILLING Institute of Neuroscience, University of Oregon, Eugene, Oregon 97403-1254 (C.B.K., S.R.K., B.U., T.F.S.); Department of Biology, Dartmouth College, Hanover, NH 03755 (W.W.B.) ABSTRACT We describe a series of stages for Segmentation Period (10-24 h) 274 development of the embryo of the zebrafish, Danio (Brachydanio) rerio. We define seven broad peri- Pharyngula Period (24-48 h) 285 ods of embryogenesis-the zygote, cleavage, blas- Hatching Period (48-72 h) 298 tula, gastrula, segmentation, pharyngula, and hatching periods. These divisions highlight the Early Larval Period 303 changing spectrum of major developmental pro- Acknowledgments 303 cesses that occur during the first 3 days after fer- tilization, and we review some of what is known Glossary 303 about morphogenesis and other significant events that occur during each of the periods. Stages sub- References 309 divide the periods. Stages are named, not num- INTRODUCTION bered as in most other series, providing for flexi- A staging series is a tool that provides accuracy in bility and continued evolution of the staging series developmental studies. This is because different em- as we learn more about development in this spe- bryos, even together within a single clutch, develop at cies. The stages, and their names, are based on slightly different rates. We have seen asynchrony ap- morphological features, generally readily identi- pearing in the development of zebrafish, Danio fied by examination of the live embryo with the (Brachydanio) rerio, embryos fertilized simultaneously dissecting stereomicroscope. -
The Impact of Databases on Model Organism Biology Sabina Leonelli
Re-Thinking Organisms: The Impact of Databases on Model Organism Biology Sabina Leonelli (corresponding author) ESRC Centre for Genomics in Society, University of Exeter Byrne House, St Germans Road, EX4 4PJ Exeter, UK. Tel: 0044 1392 269137 Fax: 0044 1392 269135 Email: [email protected] Rachel A. Ankeny School of History and Politics, University of Adelaide 423 Napier, Adelaide 5005 SA, AUSTRALIA. Tel: 0061 8 8303 5570 Fax: 0061 8 8303 3443 Email: [email protected] ‘Databases for model organisms promote data integration through the development and implementation of nomenclature standards, controlled vocabularies and ontologies, that allow data from different organisms to be compared and contrasted’ (Carole Bult 2002, 163) Abstract Community databases have become crucial to the collection, ordering and retrieval of data gathered on model organisms, as well as to the ways in which these data are interpreted and used across a range of research contexts. This paper analyses the impact of community databases on research practices in model organism biology by focusing on the history and current use of four community databases: FlyBase, Mouse Genome Informatics, WormBase and The Arabidopsis Information Resource. We discuss the standards used by the curators of these databases for what counts as reliable evidence, acceptable terminology, appropriate experimental set-ups and adequate materials (e.g., specimens). On the one hand, these choices are informed by the collaborative research ethos characterising most model organism communities. On the other hand, the deployment of these standards in databases reinforces this ethos and gives it concrete and precise instantiations by shaping the skills, practices, values and background knowledge required of the database users. -
High Abundance of Invasive African Clawed Frog Xenopus Laevis in Chile: Challenges for Their Control and Updated Invasive Distribution
Management of Biological Invasions (2019) Volume 10, Issue 2: 377–388 CORRECTED PROOF Research Article High abundance of invasive African clawed frog Xenopus laevis in Chile: challenges for their control and updated invasive distribution Marta Mora1, Daniel J. Pons2,3, Alexandra Peñafiel-Ricaurte2, Mario Alvarado-Rybak2, Saulo Lebuy2 and Claudio Soto-Azat2,* 1Vida Nativa NGO, Santiago, Chile 2Centro de Investigación para la Sustentabilidad & Programa de Doctorado en Medicina de la Conservación, Facultad de Ciencias de la Vida, Universidad Andres Bello, Republica 440, Santiago, Chile 3Facultad de Ciencias Exactas, Departamento de Matemáticas, Universidad Andres Bello, Santiago, Republica 470, Santiago, Chile Author e-mails: [email protected] (CSA), [email protected] (MM), [email protected] (DJP), [email protected] (APR), [email protected] (MAR), [email protected] (SL) *Corresponding author Citation: Mora M, Pons DJ, Peñafiel- Ricaurte A, Alvarado-Rybak M, Lebuy S, Abstract Soto-Azat C (2019) High abundance of invasive African clawed frog Xenopus Invasive African clawed frog Xenopus laevis (Daudin, 1802) are considered a major laevis in Chile: challenges for their control threat to aquatic environments. Beginning in the early 1970s, invasive populations and updated invasive distribution. have now been established throughout much of central Chile. Between September Management of Biological Invasions 10(2): and December 2015, we studied a population of X. laevis from a small pond in 377–388, https://doi.org/10.3391/mbi.2019. 10.2.11 Viña del Mar, where we estimated the population size and evaluated the use of hand nets as a method of control. First, by means of a non-linear extrapolation Received: 26 October 2018 model using the data from a single capture session of 200 min, a population size of Accepted: 7 March 2019 1,182 post-metamorphic frogs (range: 1,168–1,195 [quadratic error]) and a density Published: 16 May 2019 of 13.7 frogs/m2 (range: 13.6–13.9) of surface water were estimated. -
The Mouse Genome Database: Integration of and Access to Knowledge About the Laboratory Mouse Judith A
D810–D817 Nucleic Acids Research, 2014, Vol. 42, Database issue Published online 26 November 2013 doi:10.1093/nar/gkt1225 The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse Judith A. Blake*, Carol J. Bult, Janan T. Eppig, James A. Kadin and Joel E. Richardson The Mouse Genome Database Groupy Bioinformatics and Computational Biology, The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA Received October 1, 2013; Revised November 4, 2013; Accepted November 5, 2013 ABSTRACT genes and as a comprehensive data integration site and repository for mouse genetic, genomic and phenotypic The Mouse Genome Database (MGD) (http://www. data derived from primary literature as well as from informatics.jax.org) is the community model major data providers (1,2). organism database resource for the laboratory The central mission of the MGD is to support the trans- mouse, a premier animal model for the study of lation of information from experimental mouse models to genetic and genomic systems relevant to human uncover the genetic basis of human diseases. As a highly biology and disease. MGD maintains a comprehen- curated and comprehensive model organism database, sive catalog of genes, functional RNAs and other MGD provides web and programmatic access to a genome features as well as heritable phenotypes complete catalog of mouse genes and genome features and quantitative trait loci. The genome feature including genomic sequence and variant information. catalog is generated by the integration of computa- MGD curates and maintains the comprehensive listing of functional annotations for mouse genes using Gene tional and manual genome annotations generated Ontology (GO) terms and contributes to the development by NCBI, Ensembl and Vega/HAVANA. -
The Mouse Gene Expression Database (GXD): 2021 Update
The Jackson Laboratory The Mouseion at the JAXlibrary Faculty Research 2021 Faculty Research 1-8-2021 The mouse Gene Expression Database (GXD): 2021 update. Richard M. Baldarelli Constance M. Smith Jacqueline H. Finger Terry F. Hayamizu Ingeborg J. McCright See next page for additional authors Follow this and additional works at: https://mouseion.jax.org/stfb2021 Part of the Life Sciences Commons, and the Medicine and Health Sciences Commons Authors Richard M. Baldarelli, Constance M. Smith, Jacqueline H. Finger, Terry F. Hayamizu, Ingeborg J. McCright, Jingxia Xu, David R. Shaw, Jonathan S Beal, Olin Blodgett, Jeff Campbell, Lori E. Corbani, Pete J. Frost, Sharon C Giannatto, Dave Miers, James A. Kadin, Joel E Richardson, and Martin Ringwald D924–D931 Nucleic Acids Research, 2021, Vol. 49, Database issue Published online 26 October 2020 doi: 10.1093/nar/gkaa914 The mouse Gene Expression Database (GXD): 2021 update Richard M. Baldarelli, Constance M. Smith, Jacqueline H. Finger, Terry F. Hayamizu, Ingeborg J. McCright, Jingxia Xu, David R. Shaw, Jonathan S. Beal, Olin Blodgett, Jeffrey Campbell, Lori E. Corbani, Pete J. Frost, Sharon C. Giannatto, Dave B. Miers, Downloaded from https://academic.oup.com/nar/article/49/D1/D924/5940496 by Jackson Laboratory user on 27 January 2021 James A. Kadin, Joel E. Richardson and Martin Ringwald * The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA Received September 14, 2020; Revised October 01, 2020; Editorial Decision October 02, 2020; Accepted October 02, 2020 ABSTRACT INTRODUCTION The Gene Expression Database (GXD; www. The longstanding objective of GXD has been to capture informatics.jax.org/expression.shtml) is an exten- and integrate different types of mouse developmental ex- sive and well-curated community resource of mouse pression information, with a focus on endogenous gene ex- developmental gene expression information.