ArticleScientific reports2014
Protein-protein Interaction Networks of E. coli and S. cerevisiae are similar.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 27 citations in OpenAlex.
- Computational Network Inference for Bacterial Interactomics.mSystems · 2022Review
- Bacterial Protein Interaction Networks: Connectivity is Ruled by Gene Conservation, Essentiality and Function.Current genomics · 2021Article
- Prediction of Human-Bioinformatics and biology insights · 2021Article
- Decentralized dynamic understanding of hidden relations in complex networks.Scientific reports · 2018Article
- Centrality in the host-pathogen interactome is associated with pathogen fitness during infection.Nature communications · 2017Article
- Non-interacting proteins may resemble interacting proteins: prevalence and implications.Scientific reports · 2017Article
- Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources.BMC bioinformatics · 2017Article
- A coevolution analysis for identifying protein-protein interactions by Fourier transform.PloS one · 2017Article
- The interactome of Streptococcus pneumoniae and its bacteriophages show highly specific patterns of interactions among bacteria and their phages.Scientific reports · 2016Article
- Article
- Evolutionary conservation analysis between the essential and nonessential genes in bacterial genomes.Scientific reports · 2015Article
- Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Only recently novel high-throughput binary interaction data in E. coli became available that allowed us to compare experimentally obtained protein-protein interaction networks of prokaryotes and eukaryotes (i.e. E. coli and S. cerevisiae). Utilizing binary-Y2H, co-complex and binary literature curated interaction sets in both organisms we found that characteristics of interaction sets that were determined with the same experimental methods were strikingly similar. While essentiality is frequently considered a question of a protein's increasing number of interactions, we found that binary-Y2H interactions failed to show such a trend in both organisms. Furthermore, essential genes are enriched in protein complexes in both organisms. In turn, binary-Y2H interactions hold more bottleneck interactions than co-complex interactions while both binary-Y2H and co-complex interactions are strongly enriched among co-regulated proteins and transcription factors. We discuss if such similarities are a consequence of the underlying methodology or rather reflect truly different biological patterns.
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