ArticleGenome biology2006
Design principles of molecular networks revealed by global comparisons and composite motifs.
Article in Genome biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Epigenetic networks coordinate DNA methylation across the genome.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- The index-based subgraph matching algorithm (ISMA): fast subgraph enumeration in large networks using optimized search trees.PloS one · 2013Article
- Article
- Construction and analysis of an integrated regulatory network derived from high-throughput sequencing data.PLoS computational biology · 2011Article
- Composite functional module inference: detecting cooperation between transcriptional regulation and protein interaction by mantel test.BMC systems biology · 2010Article
- A human B-cell interactome identifies MYB and FOXM1 as master regulators of proliferation in germinal centers.Molecular systems biology · 2010Article
- Analysis of diverse regulatory networks in a hierarchical context shows consistent tendencies for collaboration in the middle levels.Proceedings of the National Academy of Sciences of the United States of America · 2010Article
- From evidence to inference: probing the evolution of protein interaction networks.HFSP journal · 2009Article
- A transcriptome atlas of rice cell types uncovers cellular, functional and developmental hierarchies.Nature genetics · 2009Article
- An Arabidopsis gene network based on the graphical Gaussian model.Genome research · 2007Article
- The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamics.PLoS computational biology · 2007Article
- 'Genome design' model and multicellular complexity: golden middle.Nucleic acids research · 2006Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundMolecular networks are of current interest, particularly with the publication of many large-scale datasets. Previous analyses have focused on topologic structures of individual networks.
resultsHere, we present a global comparison of four basic molecular networks: regulatory, co-expression, interaction, and metabolic. In terms of overall topologic correlation--whether nearby proteins in one network are close in another--we find that the four are quite similar. However, focusing on the occurrence of local features, we introduce the concept of composite hubs, namely hubs shared by more than one network. We find that the three 'action' networks (metabolic, co-expression, and interaction) share the same scaffolding of hubs, whereas the regulatory network uses distinctly different regulator hubs. Finally, we examine the inter-relationship between the regulatory network and the three action networks, focusing on three composite motifs--triangles, trusses, and bridges--involving different degrees of regulation of gene pairs. Our analysis shows that interaction and co-expression networks have short-range relationships, with directly interacting and co-expressed proteins sharing regulators. However, the metabolic network contains many long-distance relationships: far-away enzymes in a pathway often have time-delayed expression relationships, which are well coordinated by bridges connecting their regulators.
conclusionWe demonstrate how basic molecular networks are distinct yet connected and well coordinated. Many of our conclusions can be mapped onto structured social networks, providing intuitive comparisons. In particular, the long-distance regulation in metabolic networks agrees with its counterpart in social networks (namely, assembly lines). Conversely, the segregation of regulator hubs from other hubs diverges from social intuitions (as managers often are centers of interactions).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.