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

被引:25
|
作者
Gomez-Cabrero, David [1 ,2 ,3 ,19 ]
Tarazona, Sonia [4 ,19 ]
Ferreiros-Vidal, Isabel [5 ,19 ]
Ramirez, Ricardo N. [6 ,7 ,19 ]
Company, Carlos [8 ,19 ]
Schmidt, Andreas [9 ,19 ]
Reijmers, Theo [10 ,19 ]
von Saint Paul, Veronica [11 ,19 ]
Marabita, Francesco [2 ]
Rodriguez-Ubreva, Javier [8 ]
Garcia-Gomez, Antonio [8 ]
Carroll, Thomas [5 ]
Cooper, Lee [5 ]
Liang, Ziwei [5 ]
Dharmalingam, Gopuraja [5 ]
van der Kloet, Frans [17 ]
Harms, Amy C. [10 ]
Balzano-Nogueira, Leandro [12 ]
Lagani, Vincenzo [13 ,14 ]
Tsamardinos, Ioannis [14 ,15 ]
Lappe, Michael [16 ]
Maier, Dieter [11 ]
Westerhuis, Johan A. . [17 ,18 ]
Hankemeier, Thomas [10 ]
Imhof, Axel [9 ]
Ballestar, Esteban [8 ]
Mortazavi, Ali [6 ,7 ]
Merkenschlager, Matthias [5 ]
Egner, Jesper T. [2 ,3 ,19 ]
Conesa, Ana [12 ]
机构
[1] Univ Publ Navarra UPNA, Complejo Hosp Navarra, Navarrabiomed, IdiSNA, Pamplona, Spain
[2] Karolinska Inst, Ctr Mol Med, Dept Med, Unit Computat Med, Stockholm, Sweden
[3] Sci Life Lab, Solna, Sweden
[4] Univ Politecn Valencia, Dept Appl Stat Operat Res & Qual, Valencia, Spain
[5] Imperial Coll London, Fac Med, Inst Clin Sci, MRC London Inst Med Sci, Du Cane Rd, London W12 0NN, England
[6] Univ Calif Irvine, Dept Dev & Cell Biol, Irvine, CA 92717 USA
[7] Univ Calif Irvine, Ctr Complex Biol Syst, Irvine, CA USA
[8] Bellvitge Biomed Res Inst IDIBELL, Canc Epigenet & Biol Programme PEBC, Chromatin & Dis Grp, Barcelona 08908, Spain
[9] Ludwig Maximilians Univ Munchen, Biomed Ctr, Prot Anal Unit, Munich, Germany
[10] Leiden Univ, Leiden Acad Ctr Drug Res, Div Analyt Biosci, Leiden, Netherlands
[11] Biomax Informat AG, Planegg, Germany
[12] Univ Florida, Genet Inst, Inst Food & Agr Res, Microbiol & Cell Sci Dept, Gainesville, FL USA
[13] Univ Crete, Comp Sci Dept, Iraklion, Greece
[14] Ilia State Univ, Inst Chem Biol, Tbilisi, Georgia
[15] Gnosis Data Anal PC, Iraklion, Greece
[16] QIAGEN Aarhus AS, Silkeborgvej 2, DK-8000 Aarhus, Denmark
[17] Northwest Univ, Fac Nat Sci, Ctr Human Metab, Potchefstroom Campus, Potchefstroom, South Africa
[18] Univ Amsterdam, Swammerdam Inst Life Sci, Amsterdam, Netherlands
[19] King Abdullah Univ Sci & Technol, Biol & Environm Sci & Engn Div, Comp Elect & Math Sci & Engn Div, Thuwal, Saudi Arabia
关键词
RNA-SEQ; TRANSCRIPTOMES; IDENTIFICATION; RESOLUTION; TOPHAT;
D O I
10.1038/s41597-019-0202-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:15
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