STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse

Multi-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...

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Detalhes bibliográficos
Autores: Gomez Cabrero, David, Tarazona, Sonia, Ferreirós Vidal, Isabel, Ramirez, Ricardo N., Company, Carlos, Schmidt, Andreas, Reijmers, Theo, von Saint Paul, Veronica, Marabita, Francesco, Rodríguez Ubreva, Javier, García Gómez, Antonio, Carroll, Tom, Cooper, Lee, Liang, Ziwei, Dharmalingam, Gopuraja, van der Kloet, Frans, Harms, Amy C., Balzano Nogueira, Leandro, Lagani, Vincenzo, Tsamardinos, Ioannis, Lappe, Michael, Maier, Dieter, Westerhuis, Johan A., Hankemeier, Thomas, Imhof, Axel, Ballestar Tarín, Esteban, Mortazavi, Ali, Merkenschlager, Matthias, Egner, Jesper, Conesa, Ana
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/168977
Acesso em linha:https://hdl.handle.net/2445/168977
Access Level:acceso abierto
Palavra-chave:Fisiologia cel·lular
Cèl·lules B
Ratolins (Animals de laboratori)
Cell physiology
B cells
Mice (Laboratory animals)
Descrição
Resumo:Multi-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 STAT egra 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

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