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

• DOI: 10.1101/587477
• Publication Date: 2019-03-25T01:54:10Z
• Authors: David Gomez-Cabrero; Sonia Tarazona; Isabel Ferreirós-...; Ricardo N. Ramirez; Carlos Company; Andreas Schmidt; Theo Reijmers; Veronica von Sain...; Francesco Marabita; Javier Rodríguez-...; Antonio Garcia-Gomez; Thomas Carroll; Lee Cooper; Ziwei Liang; Gopuraja Dharmali...; Frans van der Kloet; Amy C. Harms; Leandro Balzano-N...; Vicenzo Lagani; Ioannis Tsamardinos; Michael Lappe; Dieter Maier; Johan A. Westerhuis; Thomas Hankemeier; Axel Imhof; Esteban Ballestar; Ali Mortazavi; Matthias Merkensc...; Jesper Tegner; Ana Conesa
• Keywords: Omics

Abstract Multi-omics approaches use a diversity of high-throughput technologies to profile the different molecular layers living cells. Ideally, integration this information should result in comprehensive systems models cellular physiology and regulation. However, most multi-omics projects still include limited number assays there have been very few multi-omic studies that evaluate dynamic processes such as growth, development adaptation. Hence, we lack formal analysis methods datasets can be leveraged develop true multi-layered for systems. Here present STATegra dataset combines measurements from up 10 omics applied same biological system, namely well-studied mouse pre-B-cell differentiation. includes chromatin structure, gene expression, proteomics metabolomics, it is complemented with single-cell data. To our knowledge, collection diverse describing system.