ArticleMolecular systems biology2011
Toward an understanding of the protein interaction network of the human liver.
Article in Molecular systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 131 papers.
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Who cites it
131 citing papers in PubMed.
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- Comparative analysis of retroviral Gag-host cell interactions: focus on the nuclear interactome.bioRxiv : the preprint server for biology · 2024Article
- TSPAN1 inhibits metastasis of nasopharyngeal carcinoma via suppressing NF-kB signaling.Cancer gene therapy · 2024Article
- A Comprehensive Analysis of the Structural Recognition between KCTD Proteins and Cullin 3.International journal of molecular sciences · 2024Article
- Dose-Dependent Effect of Mitochondrial Superoxide Dismutase Gene Overexpression on Radioresistance of HEK293T Cells.International journal of molecular sciences · 2023Article
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- Modulation of the Immune Response to Severe Acute Respiratory Syndrome Coronavirus 2 Vaccination by Nonsteroidal Anti-Inflammatory Drugs.The Journal of pharmacology and experimental therapeutics · 2023Article
- ER chaperone GRP78/BiP translocates to the nucleus under stress and acts as a transcriptional regulator.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Cytosolic Ptbp2 modulates axon growth in motoneurons through axonal localization and translation of Hnrnpr.Nature communications · 2023Article
71 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
38 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proteome-scale protein interaction maps are available for many organisms, ranging from bacteria, yeast, worms and flies to humans. These maps provide substantial new insights into systems biology, disease research and drug discovery. However, only a small fraction of the total number of human protein-protein interactions has been identified. In this study, we map the interactions of an unbiased selection of 5026 human liver expression proteins by yeast two-hybrid technology and establish a human liver protein interaction network (HLPN) composed of 3484 interactions among 2582 proteins. The data set has a validation rate of over 72% as determined by three independent biochemical or cellular assays. The network includes metabolic enzymes and liver-specific, liver-phenotype and liver-disease proteins that are individually critical for the maintenance of liver functions. The liver enriched proteins had significantly different topological properties and increased our understanding of the functional relationships among proteins in a liver-specific manner. Our data represent the first comprehensive description of a HLPN, which could be a valuable tool for understanding the functioning of the protein interaction network of the human liver.
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