ArticlePLoS computational biology2007
The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamics.
Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 490 papers, 1 of them a synthesis that pooled it.
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Who cites it
490 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Network-Based Bioinformatics Reveal Microenvironment-Driven Cell-to-Cell Communication in the Progression of Multiple Myeloma.International journal of molecular sciences · 2026Article
- Graph and Hypergraph Theories Applied to Dynamic Protein-Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction.International journal of molecular sciences · 2026Review
- Protein Stability, Turnover Kinetics, and Abundance Constrain the Scaling of Protein Interaction Networks.bioRxiv : the preprint server for biology · 2026Article
- Deciphering the genetic basis of wheat germination under ZnO nano priming and drought stress through integrated QTL mapping and network analyses.BMC plant biology · 2026Article
- Identification of Candidate Genes Associated with the Pileus-Deficient Phenotype inJournal of fungi (Basel, Switzerland) · 2026Article
- Precision Medicine Through Network Language: Integrating Clinical Insight and Data Expertise.Genes · 2026Review
- Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns.eLife · 2026Article
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- Identification and prioritization of gene sets associated with schizophrenia risk by network analysis.Psychopharmacology · 2026Article
- Co-expression network analysis and systems-level mapping of hub-bottleneck regulators deciphers the virulence architecture of Helicobacter pylori.Archives of microbiology · 2026Article
- Genetic and Epigenetic Mechanisms in Serrated Adenocarcinomas and Classical Colorectal Carcinomas: An In Silico Study.Current issues in molecular biology · 2026Article
- Integrative Transcriptomic and Systems Biology Analyses IdentifyMicroorganisms · 2026Article
- Network biology to artificial intelligence: building the next generation of predictive drug discovery.Frontiers in immunology · 2026Review
430 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.