TOXsIgN- ApublicrepositoryfortoxicologicalsignaturesattheIRSET T.A.Darde1,2,P.Gaudriault1,R.Beranger1,N.Costet1,N.Bonvallot1,3,O.Sallou2,O.Collin2, B.Jégou1,3,C.Chevrier1,E.Becker1,S.Mazaud-Guittot1,A.D.Rolland1andF.Chalmel1 1InsermU1085-Irset;UniversitédeRennes1;F-35042Rennes,France;2Ins<tutdeRechercheenInforma<queetSystèmesAléatoires(IRISA/INRIA)-GenOuestplaNorm,UniversitédeRennes1;F-35042Rennes,France; Objectives While generalist repositories allow investigators to submit their raw data (1-2), other specialized databases have paved the way for improving toxicological data storage, exchange and analysis (3-6). Here we present TOXsIgN a new multi-species public repository for TOXicological sIgNatures. This database provides a flexible and open environment that facilitates online submission, and retrieval of toxicological signatures deposited by the toxicology community. One of the unique features of TOXsIgN relies on its ability to archive heterogeneous data from: multiple species; observational and interventional studies; in vivo, ex vivo or in vitro experiments; physiological, molecular or “omic” studies; transgenerational studies; mixtures studies. Aproject-centricorganization(Fig.1) TOXsIgN information is organized in a four-layer architecture (project>study>condition>signature): a project is subdivided into studies which address specific questions and describe experimental conditions or treatments, the latter being associated with toxicological signatures. All of these layers are associated with a unique accession number thus facilitating data accessibility. Most of the associated information is described thanks to several controlled vocabularies (i.e. ontologies). Experimentalconditions(Fig.2) 1 Each experimental condition or treatment describes the exposure of a given study model (e.g. cell culture, living animals, human population) to at least one chemical (e.g. pesticides, plasticizers, drugs, endocrine disruptors), physical (e.g. radiations, temperature) or biological (e.g. pathogens, parasites) factor at a given dose and at a given time of exposure. This organization therefore makes TOXsIgN compatible with mixtures studies. Currently, experimental conditions are restricted to chemical compounds. 2 DMSO 3 Toxicologicalsignatures(Fig.3) In TOXsIgN, a toxicological signature is defined as the description of physiological, cellular, molecular or omics (e.g. epigenomic, transcriptomic, proteomic) effects on individuals or their descendants, after exposure to single or combined environmental factors. Currentstatus TOXsIgN currently hosts approximatively 700 projects, comprising over 1000 studies which describe more than 7500 experimental conditions and their corresponding signatures. These data were extracted from 29 scientific publications among which 26 describe toxicogenomics data, 1 investigate a chemical mixture and 2 report epidemiological data. Importantly, TOXsIgN integrate data from 2 major toxicogenomics resources : DrugMatrix (7) and TG-GATEs (8) which describe the altered gene expression profiles in 5 different tissues in the rat after exposure to 376 and 150 compounds, respectively. Perspectives In the near future, TOXsIgN will allow investigators to submit other types of environmental factors (i.e physical and biological factors). It also intends to go beyond a simple public repository and to become a warehouse for toxicogenomics and predictive toxicology tools. TOXsIgN already includes a powerful search engine that supports complex queries to retrieve data by accession number and other experimental parameters such as species, tissues, developmental stages, chemicals, types of experiment and/or observed toxicological effects. The modular design of TOXsIgN will facilitate the implementation of other advanced tools (see ChemPSy poster) leaning on the deposited toxicogenomics signatures that will help investigators analyze, predict and prioritize the toxicological effects of relevant environmental factors. Conclusion TheTOXsIgNrepositoryispublicly available toallacademicusers, without loginrequirementat: http://toxsign.genouest.org Suggestionsfor improvingTOXsIgNandrequestsfor additionaldatasetsorfunctionalitiesarewelcome! Contactusat:[email protected] Figures 1-3 – TOXsIgN interface. Screenshots of the TOXsIgN visualization pages. 1 – The treeview allows an easy and quick navigation between projects, studies and signatures. 2- Information related to the chemical treatment such as vehicle, route, dose and exposure time. 3 –Associated toxicogenomic signature including up and down regulated genes (Entrez Gene IDs), the number of control and treated samples, the statistical cutoff as well as additional information. References 1.Barrett,T.,Wilhite,S.E.,Ledoux,P.,Evangelista,C.,Kim,I.F.,Tomashevsky,M.,Marshall,K.A., Phillippy,K.H.,Sherman,P.M.,Holko,M.,etal. (2013)NCBIGEO:archiveforfunctional genomics datasets--update.Nucleic Acids Res.,41,D991-5. 2.Kolesnikov,N.,Hastings,E.,Keays,M.,Melnichuk,O.,Tang,Y.A.,Williams,E.,Dylag,M., Kurbatova,N.,Brandizi,M.,Burdett,T.,etal. (2015)ArrayExpressupdate--simplifying data submissions.Nucleic Acids Res.,43,D1113-6. 3.Davis,A.P.,Grondin,C.J.,Lennon-Hopkins,K.,Saraceni-Richards,C.,Sciaky,D.,King,B.L., Wiegers,T.C.andMattingly,C.J.(2015)TheComparativeToxicogenomicsDatabase’s 10thyear anniversary:update2015.Nucleic Acids Res.,43,D914-20. 4.Roider,H.G.,Pavlova,N.,Kirov,I.,Slavov,S.,Slavov,T.,Uzunov,Z.andWeiss,B.(2014) Drug2Gene:anexhaustiveresource toexploreeffectively thedrug-target relationnetwork. BMCBioinformatics,15,68. 5.Hardt,C.,Beber,M.E.,Rasche,A.,Kamburov,A.,Hebels,D.G.,Kleinjans,J.C.andHerwig,R. (2016)ToxDB:pathway-levelinterpretation ofdrug-treatment data.Database,2016,baw052. 6.Miller,G.W.(2015)Datasharingintoxicology:beyond showandtell.Toxicol.Sci.,143,3–5. 7.Ganter,B.,Snyder,R.D.,Halbert,D.N.andLee,M.D.(2006)Toxicogenomicsindrug discovery anddevelopment:mechanistic analysis ofcompound/class-dependent effects usingthe DrugMatrixdatabase.Pharmacogenomics,7,1025–44. 8.Igarashi,Y.,Nakatsu,N.,Yamashita,T.,Ono,A.,Ohno,Y.,Urushidani,T.andYamada,H.(2015) OpenTG-GATEs:alarge-scale toxicogenomicsdatabase.Nucleic Acids Res.,43,D921-7.
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