The PluriNetWork: An Electronic Representation of the Network Underlying Pluripotency in Mouse, and Its Applications

被引:49
作者
Som, Anup [1 ]
Harder, Clemens [1 ]
Greber, Boris [2 ]
Siatkowski, Marcin [1 ,3 ]
Paudel, Yogesh [1 ]
Warsow, Gregor [1 ,4 ,5 ]
Cap, Clemens [6 ]
Schoeler, Hans [2 ,7 ]
Fuellen, Georg [1 ]
机构
[1] Univ Rostock, Inst Biostat & Informat Med & Ageing Res, Rostock, Germany
[2] Max Planck Inst Mol Biomed, Dept Cell & Dev Biol, Munster, Germany
[3] German Ctr Neurodegenerat Dis, DZNE, Rostock, Germany
[4] Ernst Moritz Arndt Univ Greifswald, Inst Anat & Cell Biol, Greifswald, Germany
[5] Ernst Moritz Arndt Univ Greifswald, Dept Math & Informat, Greifswald, Germany
[6] Univ Rostock, Dept Comp Sci, Rostock, Germany
[7] Univ Munster, Fac Med, Munster, Germany
关键词
STEM-CELLS; SELF-RENEWAL; REGULATORY NETWORKS; SYSTEMS BIOLOGY; GENE ONTOLOGY; DATABASE; DIFFERENTIATION; ANNOTATION; CIRCUITRY; UNIPROT;
D O I
10.1371/journal.pone.0015165
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
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Background: Analysis of the mechanisms underlying pluripotency and reprogramming would benefit substantially from easy access to an electronic network of genes, proteins and mechanisms. Moreover, interpreting gene expression data needs to move beyond just the identification of the up-/downregulation of key genes and of overrepresented processes and pathways, towards clarifying the essential effects of the experiment in molecular terms. Methodology/Principal Findings: We have assembled a network of 574 molecular interactions, stimulations and inhibitions, based on a collection of research data from 177 publications until June 2010, involving 274 mouse genes/proteins, all in a standard electronic format, enabling analyses by readily available software such as Cytoscape and its plugins. The network includes the core circuit of Oct4 (Pou5f1), Sox2 and Nanog, its periphery (such as Stat3, Klf4, Esrrb, and c-Myc), connections to upstream signaling pathways (such as Activin, WNT, FGF, BMP, Insulin, Notch and LIF), and epigenetic regulators as well as some other relevant genes/proteins, such as proteins involved in nuclear import/export. We describe the general properties of the network, as well as a Gene Ontology analysis of the genes included. We use several expression data sets to condense the network to a set of network links that are affected in the course of an experiment, yielding hypotheses about the underlying mechanisms. Conclusions/Significance: We have initiated an electronic data repository that will be useful to understand pluripotency and to facilitate the interpretation of high-throughput data. To keep up with the growth of knowledge on the fundamental processes of pluripotency and reprogramming, we suggest to combine Wiki and social networking software towards a community curation system that is easy to use and flexible, and tailored to provide a benefit for the scientist, and to improve communication and exchange of research results. A PluriNetWork tutorial is available at http://www.ibima.med. uni-rostock. de/IBIMA/PluriNetWork/.
引用
收藏
页码:1 / 13
页数:13
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