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The Importance of Bottlenecks in Protein Networks: Correlation with Gene Essentiality and Expression Dynamics

PLoS Computational Biology · 2007 · Vol. 3(4) · pp. e59–e59
Haiyuan YuPhilip M. KimEmmett SprecherValery TrifonovMark Gerstein

Abstract

It has been a long-standing goal in systems biology to find relations between the topological properties and functional features of protein networks. However, most of the focus in network studies has been on highly connected proteins ("hubs"). As a complementary notion, it is possible to define bottlenecks as proteins with a high betweenness centrality (i.e., network nodes that have many "shortest paths" going through them, analogous to major bridges and tunnels on a highway map). Bottlenecks are, in fact, key connector proteins with surprising functional and dynamic properties. In particular, they are more likely to be essential proteins. In fact, in regulatory and other directed networks, betweenness (i.e., "bottleneck-ness") is a much more significant indicator of essentiality than degree (i.e., "hub-ness"). Furthermore, bottlenecks correspond to the dynamic components of the interaction network-they are significantly less well coexpressed with their neighbors than non-bottlenecks, implying that expression dynamics is wired into the network topology.

Bioinformatics and Genomic NetworksGene Regulatory Network AnalysisMicrobial Metabolic Engineering and BioproductionBetweenness centralityBottleneckCentralityComplex networkComputer scienceTopology (electrical circuits)Computational biologyNetwork dynamicsInteraction networkSystems biology

MeSH terms

AlgorithmsComputer SimulationGene Expression RegulationModels, BiologicalStatistics as TopicTranscription FactorsSignal TransductionGene ExpressionProteome

Funding

  • National Institutes of Health
Citations
1,026
FWCI
19.57
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56
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