Cited by 1,771Bioinformatics and Genomic NetworksGene Regulatory Network AnalysisComplex Network Analysis Techniques

Interactome Networks and Human Disease

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Vidal, Marc, Cusick, Michael E., Barabási, Albert-László·2011·Cell

Abstract

Complex biological systems and cellular networks may underlie most genotype to phenotype relationships. Here, we review basic concepts in network biology, discussing different types of interactome networks and the insights that can come from analyzing them. We elaborate on why interactome networks are important to consider in biology, how they can be mapped and integrated with each other, what global properties are starting to emerge from interactome network models, and how these properties may relate to human disease.

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Crossref · 10.1016/j.cell.2011.02.016

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  • Networks can also be formed based on genomic interactions captured by HiC data, and physical interactions can be measured across different layers, such as in ChIP-Seq.

    “Networks can also be formed based on genomic interactions captured by HiC data [70, 71], and physical interactions can also be measured across different layers, such as in ChIP-Seq, which quantifies DNA binding by specific proteins.”

    From Multi-omics approaches to disease (2017) · cites this paper as [71]

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Authors
Vidal, M., Cusick, M. E., & Barabási, A.-L.
Affiliations
Harvard University (US)
Corresponding author
Vidal, Marc
Venue
Cell
Publisher
Elsevier BV
Published
2011-03
Volume
144
Issue
6
Pages
986-998
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2009405916
Cited by
1,771
References
158
Citations by year
2026: 56 · 2025: 95 · 2024: 102 · 2023: 117 · 2022: 89 · 2021: 131 · 2020: 117 · 2019: 116 · 2018: 115 · 2017: 115 · 2016: 116 · 2015: 163 · 2014: 144 · 2013: 136 · 2012: 130
FWCI
12.43
Type
journal article
Language
en
Open access
Locations
  • Cell (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • National Human Genome Research Institute (R01HG001715)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
interactome networks, network biology, protein-protein interaction, genotype-phenotype correlation, interactome mapping, network integration, network topology, human disease, cellular networks
MeSH terms
Disease, Humans, Proteins, Protein Interaction Mapping, Systems Biology, Gene Regulatory Networks, Metabolic Networks and Pathways

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