ArticleeLife2022
Defining hierarchical protein interaction networks from spectral analysis of bacterial proteomes.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Distinct trajectories of urbanization shape the human gut microbiome across South Asia.Gut microbes · 2026Article
- Pan-tumor spatial transcriptomics reveals conserved properties of tumor organization.Cell reports. Medicine · 2026Article
- Post-COVID impairment of T cell responses to community-acquired pathogens can be modified by activating cellular metabolism.PLoS pathogens · 2026Article
- Physiological architecture and evolutionary origins of cellular adaptability.bioRxiv : the preprint server for biology · 2026Article
- Distinct trajectories of urbanization shape the human gut microbiome across South Asia.bioRxiv : the preprint server for biology · 2026Article
- Post-COVID impairment of memory T cell responses to community-acquired pathogens can be rectified by activating cellular metabolism.bioRxiv : the preprint server for biology · 2026Article
- Statistical design of a synthetic microbiome that suppresses diverse gut pathogens.bioRxiv : the preprint server for biology · 2025Article
- Peptide abundance correlations in metaproteomics enhance taxonomic and functional analysis of the human gut microbiome.NPJ biofilms and microbiomes · 2025Article
- Subspecies phylogeny in the human gut revealed by co-evolutionary constraints across the bacterial kingdom.Cell systems · 2025Article
- An evolution-based framework for describing human gut bacteria.bioRxiv : the preprint server for biology · 2023Article
- Constraints on microbial metabolic complexity.Nature microbiology · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular behaviors emerge from layers of molecular interactions: proteins interact to form complexes, pathways, and phenotypes. We show that hierarchical networks of protein interactions can be defined from the statistical pattern of proteome variation measured across thousands of diverse bacteria and that these networks reflect the emergence of complex bacterial phenotypes. Our results are validated through gene-set enrichment analysis and comparison to existing experimentally derived databases. We demonstrate the biological utility of our approach by creating a model of motility in
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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.