Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Comparative interactomics.

Gianni Cesareni1, Arnaud Ceol, Caius Gavrila

  • 1Department of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy. cesareni@uniroma2.it

FEBS Letters
|March 15, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correction: Curation of causal interactions mediated by genes associated with autism accelerates the understanding of gene-phenotype relationships underlying neurodevelopmental disorders.

Molecular psychiatry·2024
Same author

Curation of causal interactions mediated by genes associated with autism accelerates the understanding of gene-phenotype relationships underlying neurodevelopmental disorders.

Molecular psychiatry·2023
Same author

Inter and intra-tumor heterogeneity of paediatric type diffuse high-grade gliomas revealed by single-cell mass cytometry.

Frontiers in oncology·2022
Same author

SIGNOR 3.0, the SIGnaling network open resource 3.0: 2022 update.

Nucleic acids research·2022
Same author

A Resource to Infer Molecular Paths Linking Cancer Mutations to Perturbation of Cell Metabolism.

Frontiers in molecular biosciences·2022
Same author

Transcription Factor Activation Profiles (TFAP) identify compounds promoting differentiation of Acute Myeloid Leukemia cell lines.

Cell death discovery·2022
Same journal

Extending the classical sequence-structure-function paradigm through protein dynamics and context-dependent behavior.

FEBS letters·2026
Same journal

α-Synuclein aggregation landscape from phase separation to neurotoxic intermediates.

FEBS letters·2026
Same journal

Modelling stem cell differentiation related processes-A practical overview for biologists.

FEBS letters·2026
Same journal

Overlapping gut microbiome signatures in aging and disease are characterized by enrichment of medication-associated oral microbes in the gut.

FEBS letters·2026
Same journal

Csk binding to integrin β3 is regulated by tyrosine and threonine phosphorylation of β3.

FEBS letters·2026
Same journal

Mixed-class J-domain protein scaffolds promote expanded aggregate handling and multivalent Hsp70 engagement during functional disaggregase assembly.

FEBS letters·2026
See all related articles

Comparing biological interaction networks reveals insights into systems evolution. However, current interactome data lacks the quality for robust cross-species comparisons, necessitating caution when transferring network information.

Area of Science:

  • Systems Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Biological system behavior is governed by component interactions, shaped by genetic variation and selective pressures.
  • Comparing interaction networks offers a parallel approach to genomic and proteomic comparisons for understanding systems evolution.

Purpose of the Study:

  • To investigate the evolutionary history of biological systems by comparing interaction network organization, variation, and conservation.
  • To assess the feasibility of transferring network information from model organisms to other species.

Main Methods:

  • Comparative analysis of biological interaction networks.
  • Evaluation of interactome data coverage and quality from high-throughput experiments.

Related Experiment Videos

Main Results:

  • Current interactome data is insufficient in coverage and quality for reliable cross-species network comparisons.
  • A higher fraction of interactions is conserved when using smaller, high-confidence datasets.

Conclusions:

  • Transferring network information between evolutionarily distant species requires caution due to data limitations.
  • Advancements in experimental and informatic approaches are expected to enable robust studies of network evolution in the future.