ArticleMolecular systems biology2008
A map of human protein interactions derived from co-expression of human mRNAs and their orthologs.
Article in Molecular systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.
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Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.
- Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017Pooled it
- A predicted structural interactome reveals binding interference from intrinsically disordered regions.PLoS computational biology · 2026Article
- A predicted structural interactome reveals binding interference from intrinsically disordered regions.bioRxiv : the preprint server for biology · 2025Article
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- Network-Based Analysis of Cognitive Impairment and Memory Deficits from Transcriptome Data.Journal of molecular neuroscience : MN · 2021Article
- Interpretation of cancer mutations using a multiscale map of protein systems.Science (New York, N.Y.) · 2021Article
- Next-generation Interactomics: Considerations for the Use of Co-elution to Measure Protein Interaction Networks.Molecular & cellular proteomics : MCP · 2020Review
- Macrophage-associated wound healing contributes to African green monkey SIV pathogenesis control.Nature communications · 2019Article
- Expression of the RNA methyltransferase Nsun5 is essential for developing cerebral cortex.Molecular brain · 2019Article
- Evaluating measures of association for single-cell transcriptomics.Nature methods · 2019Article
- MTGO-SC, A Tool to Explore Gene Modules in Single-Cell RNA Sequencing Data.Frontiers in genetics · 2019Article
- Interrogation of Mammalian Protein Complex Structure, Function, and Membership Using Genome-Scale Fitness Screens.Cell systems · 2018Article
- A complex network approach reveals a pivotal substructure of genes linked to schizophrenia.PloS one · 2018Article
- DRD2 co-expression network and a related polygenic index predict imaging, behavioral and clinical phenotypes linked to schizophrenia.Translational psychiatry · 2017Article
- Proteome Profiling Outperforms Transcriptome Profiling for Coexpression Based Gene Function Prediction.Molecular & cellular proteomics : MCP · 2017Article
- ELAVL2-regulated transcriptional and splicing networks in human neurons link neurodevelopment and autism.Human molecular genetics · 2016Article
- Towards the construction of an interactome for Human WD40 protein family.Bioinformation · 2016Article
- Posttranscriptional methylation of transfer and ribosomal RNA in stress response pathways, cell differentiation, and cancer.Current opinion in oncology · 2016Review
- Applying the new genomics to alcohol dependence.Alcohol (Fayetteville, N.Y.) · 2015Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The human protein interaction network will offer global insights into the molecular organization of cells and provide a framework for modeling human disease, but the network's large scale demands new approaches. We report a set of 7000 physical associations among human proteins inferred from indirect evidence: the comparison of human mRNA co-expression patterns with those of orthologous genes in five other eukaryotes, which we demonstrate identifies proteins in the same physical complexes. To evaluate the accuracy of the predicted physical associations, we apply quantitative mass spectrometry shotgun proteomics to measure elution profiles of 3013 human proteins during native biochemical fractionation, demonstrating systematically that putative interaction partners tend to co-sediment. We further validate uncharacterized proteins implicated by the associations in ribosome biogenesis, including WBSCR20C, associated with Williams-Beuren syndrome. This meta-analysis therefore exploits non-protein-based data, but successfully predicts associations, including 5589 novel human physical protein associations, with measured accuracies of 54+/-10%, comparable to direct large-scale interaction assays. The new associations' derivation from conserved in vivo phenomena argues strongly for their biological relevance.
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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.