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dc.contributor.authorGomez-Cabrero, David
dc.contributor.authorTarazona, Sonia
dc.contributor.authorFerreirós-Vidal, Isabel
dc.contributor.authorRamirez, Ricardo N.
dc.contributor.authorCompany, Carlos
dc.contributor.authorSchmidt, Andreas
dc.contributor.authorReijmers, Theo
dc.contributor.authorPaul, Veronica von Saint
dc.contributor.authorMarabita, Francesco
dc.contributor.authorRodríguez-Ubreva, Javier
dc.contributor.authorGarcia-Gomez, Antonio
dc.contributor.authorCarroll, Thomas
dc.contributor.authorCooper, Lee
dc.contributor.authorLiang, Ziwei
dc.contributor.authorDharmalingam, Gopuraja
dc.contributor.authorvan der Kloet, Frans
dc.contributor.authorHarms, Amy C.
dc.contributor.authorBalzano-Nogueira, Leandro
dc.contributor.authorLagani, Vincenzo
dc.contributor.authorTsamardinos, Ioannis
dc.contributor.authorLappe, Michael
dc.contributor.authorMaier, Dieter
dc.contributor.authorWesterhuis, Johan A.
dc.contributor.authorHankemeier, Thomas
dc.contributor.authorImhof, Axel
dc.contributor.authorBallestar, Esteban
dc.contributor.authorMortazavi, Ali
dc.contributor.authorMerkenschlager, Matthias
dc.contributor.authorTegner, Jesper
dc.contributor.authorConesa, Ana
dc.date.accessioned2019-11-10T13:16:57Z
dc.date.available2019-11-10T13:16:57Z
dc.date.issued2019-10-31
dc.identifier.citationGomez-Cabrero, D., Tarazona, S., Ferreirós-Vidal, I., Ramirez, R. N., Company, C., Schmidt, A., … Conesa, A. (2019). STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse. Scientific Data, 6(1). doi:10.1038/s41597-019-0202-7
dc.identifier.doi10.1038/s41597-019-0202-7
dc.identifier.urihttp://hdl.handle.net/10754/659954
dc.description.abstractMulti-omics approaches use a diversity of high-throughput technologies to profile the different molecular layers of living cells. Ideally, the integration of this information should result in comprehensive systems models of cellular physiology and regulation. However, most multi-omics projects still include a limited number of molecular assays and there have been very few multi-omic studies that evaluate dynamic processes such as cellular growth, development and adaptation. Hence, we lack formal analysis methods and comprehensive multi-omics datasets that can be leveraged to develop true multi-layered models for dynamic cellular systems. Here we present the STATegra multi-omics dataset that combines measurements from up to 10 different omics technologies applied to the same biological system, namely the well-studied mouse pre-B-cell differentiation. STATegra includes high-throughput measurements of chromatin structure, gene expression, proteomics and metabolomics, and it is complemented with single-cell data. To our knowledge, the STATegra collection is the most diverse multi-omics dataset describing a dynamic biological system.
dc.description.sponsorshipThis work has been funded by the European Union Seventh Framework Programme [FP7/2007–2013] under the grant agreement 306000-STATegra. We thank all members of the STATegra consortium for their contributions to this work.
dc.publisherSpringer Nature
dc.relation.urlhttp://www.nature.com/articles/s41597-019-0202-7
dc.rightsArchived with thanks to Scientific Data
dc.titleSTATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.identifier.journalScientific Data
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionNavarrabiomed, Complejo Hospitalario de Navarra (CHN), IdiSNA, Universidad Pública de Navarra (UPNA), Pamplona, Spain
dc.contributor.institutionUnit of Computational Medicine, Department of Medicine, Center for Molecular Medicine, Karolinska Institutet, Solna, Stockholm, Sweden
dc.contributor.institutionScience for Life Laboratory, Solna, Sweden
dc.contributor.institutionDepartment of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, Spain
dc.contributor.institutionMRC London Institute of Medical Sciences, Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Du Cane Road, London, W12 0NN, United Kingdom
dc.contributor.institutionDepartment of Developmental and Cell Biology and Center for Complex Biological Systems, University of California, Irvine, CA, USA
dc.contributor.institutionChromatin and Disease Group, Cancer Epigenetics and Biology Programme (PEBC), Bellvitge Biomedical Research Institute (IDIBELL), 08908 L'Hospitalet de Llobregat, Barcelona, Spain
dc.contributor.institutionProtein Analysis Unit, Biomedical Center, Ludwig Maximilian University of Munich, Munich, Germany
dc.contributor.institutionDivision of Analytical Biosciences, Leiden Academic Center for Drug Research, Leiden University, Leiden, Netherlands
dc.contributor.institutionBiomax Informatics AG, Planegg, Germany
dc.contributor.institutionCentre for Human Metabolomics, Faculty of Natural Sciences, North-West University (Potchefstroom Campus), Potchefstroom, South Africa
dc.contributor.institutionMicrobiology and Cell Science Department, Institute for Food and Agricultural Research, Genetics Institute, University of Florida, Gainesville, FL, United States
dc.contributor.institutionComputer Science Department, University of Crete, Heraklion, Greece
dc.contributor.institutionInstitute of Chemical Biology, Ilia State University, Tbilisi, GA, United States
dc.contributor.institutionGnosis Data Analysis PC, Heraklion, Greece
dc.contributor.institutionSilkeborgvej 2Aarhus, 8000, Denmark
dc.contributor.institutionSwammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
kaust.personTegner, Jesper
dc.relation.issupplementedbyDOI:10.6084/m9.figshare.9773624.v2
refterms.dateFOA2019-11-10T13:17:48Z
display.relations<b>Is Supplemented By:</b><br/> <ul><li><i>[Dataset]</i> <br/> Gomez-Cabrero, D., Tarazona, S., Ferreirós-Vidal, I., Ramirez, R. N., Company, C., Schmidt, A., Reijmers, T., Paul, V. V. S., Marabita, F., Rodríguez-Ubreva, J., Garcia-Gomez, A., Carroll, T., Cooper, L., Ziwei Liang, Gopuraja Dharmalingam, Kloet, F. V. D., Harms, A. C., Balzano-Nogueira, L., Vicenzo Lagani, … Conesa, A. (2020). <i>Metadata record for: STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse</i> [Data set]. figshare. https://doi.org/10.6084/M9.FIGSHARE.9773624.V2. DOI: <a href="https://doi.org/10.6084/m9.figshare.9773624.v2" >10.6084/m9.figshare.9773624.v2</a> Handle: <a href="http://hdl.handle.net/10754/664822" >10754/664822</a></a></li></ul>


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