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Title: STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse
Author: 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
Keywords: Fisiologia cel·lular
Cèl·lules B
Ratolins (Animals de laboratori)
Cell physiology
B cells
Mice (Laboratory animals)
Issue Date: 31-Oct-2019
Publisher: Nature Publishing Group
Abstract: 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
Note: Reproducció del document publicat a:
It is part of: Scientific Data, 2019, vol. 6, p. 256
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Appears in Collections:Publicacions de projectes de recerca finançats per la UE
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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