huri

is a Data Source.

The Human Reference Interactome (HuRI) is a comprehensive map of binary protein-protein interactions in human cells, generated through systematic high-throughput yeast two-hybrid screening. HuRI provides the largest experimentally verified collection of human protein interactions and serves as a foundational resource for understanding cellular networks and disease mechanisms.

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Domains

biomedical, biological systems, proteomics, systems biology

License

CC BY 4.0

Homepage

huri

Repository

GitHub

Infores ID

infores:huri

FAIRsharing ID

Unknown

Product Summary

Contacts

Center for Cancer Systems Biology

URL: https://ccsb.dana-farber.org/

Marc Vidal

ORCID: 0000-0002-9500-6065

Frederick P. Roth

Products

From this Resource
ID Name URL Category Format Description
huri.interactions HuRI Protein-Protein Interactions HuRI.tsv (1.6 MB) GraphProduct tsv Human Reference Interactome (HuRI) bi...
huri.literature_benchmark HuRI Literature Benchmark Lit-BM.tsv (420.0 KB) GraphProduct tsv Literature-curated high-quality prote...
huri.interactions.psi HuRI Protein-Protein Interactions PSI-MI HuRI.psi (162.0 MB) GraphProduct psi_mi_mitab Human Reference Interactome (HuRI) bi...
huri.portal HuRI Web Portal www.interactome-atlas.org GraphicalInterface http Web portal for searching and browsing...
From other Resources
ID Name URL Category Format Relation Description
bioteque.embeddings Bioteque Embeddings embeddings Product ❔ had primary source Network embeddings of the Bioteque gr...
hrpimp.data HuRI Protein-Protein Interaction Data HuRI.tsv (1.6 MB) Product tsv had primary source Current HuRI TSV file containing 52,5...
hrpimp.huri.psi HuRI PSI-MI Interaction Data HuRI.psi (162.0 MB) Product psi_mi_mitab had primary source Current HuRI PSI-MI formatted interac...
hrpimp.web Interactome Atlas Web Portal www.interactome-atlas.org GraphicalInterface http had primary source Web interface for browsing and explor...

Details

HuRI - Human Reference Interactome

The Human Reference Interactome (HuRI) represents the largest systematically generated map of binary protein-protein interactions in human cells. Developed at the Center for Cancer Systems Biology (CCSB) at Dana-Farber Cancer Institute, HuRI provides a foundational reference for understanding cellular networks, disease mechanisms, and biological processes.

Overview

HuRI was created through systematic high-throughput yeast two-hybrid (Y2H) screening, testing pairwise combinations of human protein-coding genes to identify direct physical interactions. The project represents a landmark achievement in systems biology, providing unprecedented insight into the human protein interaction landscape.

Current Statistics

HuRI Database:

  • 52,569 protein-protein interactions in the HuRI download
  • 17,500 proteins tested in the comprehensive search space

Literature Benchmark:

  • 13,441 protein-protein interactions curated from comparable experimental approaches

Methodology and Quality Control

Experimental Approach

HuRI interactions are identified using high-throughput yeast two-hybrid screens with rigorous quality control:

  1. Systematic Screening: Pairwise testing of human protein-coding genes using standardized protocols
  2. Orthogonal Validation: Multiple independent assay systems to confirm interactions
  3. Quality Assessment: Systematic comparison with literature-curated interactions
  4. Reproducibility Testing: Multiple replicates and independent validations

Data Integration

The HuRI project integrates:

  • Experimentally determined interactions from systematic screens
  • Literature-curated interactions from comparable high-quality experiments
  • Cross-references to major biological databases
  • GENCODE gene, transcript, and protein annotations

Research Impact and Applications

Disease Research

HuRI has enabled groundbreaking research in:

  • Cancer Biology: Understanding protein networks disrupted in cancer
  • Infectious Diseases: Mapping host-pathogen interactions, including COVID-19 research
  • Genetic Disorders: Identifying disease mechanisms through network analysis
  • Drug Discovery: Finding new therapeutic targets and understanding drug mechanisms

Network Biology

Key applications include:

  • Systems-level analysis of cellular processes
  • Pathway reconstruction and functional annotation
  • Evolutionary studies of protein interaction networks
  • Prediction algorithms for novel protein interactions

Precision Medicine

HuRI contributes to:

  • Biomarker discovery through network analysis
  • Patient stratification based on network disruptions
  • Therapeutic targeting of network components
  • Understanding drug resistance mechanisms

Collaborative Framework

HuRI is developed through collaboration between multiple research groups:

  • Vidal Lab (Dana-Farber Cancer Institute) - Project leadership and Y2H screening
  • Roth Lab (University of Toronto) - Computational analysis and validation
  • Tavernier Lab (Ghent University) - Alternative interaction detection methods
  • Bader Lab (University of Toronto) - Network analysis and bioinformatics

Data Standards and Quality

Experimental Standards

  • Standardized Y2H protocols across all participating laboratories
  • Systematic quality control measures
  • Independent validation using orthogonal assays
  • Comprehensive documentation of experimental conditions

Data Annotation

  • GENCODE-based gene and protein identifiers
  • UniProt cross-references
  • GO functional annotations
  • Disease associations and pathway mappings

Accessibility

  • Open access under Creative Commons licensing
  • Multiple download formats available
  • Web-based search and visualization tools

Technical Infrastructure

Data Processing

  • Automated quality control pipelines
  • Standardized data formats
  • Version control and data provenance tracking
  • Integration with major biological databases

Web Portal Features

  • Interactive search interface
  • Network visualization tools
  • Bulk data download capabilities
  • Cross-references to external resources

Future Directions

Ongoing developments include:

  • Expansion of screening coverage to achieve comprehensive proteome coverage
  • Integration with structural data for mechanistic insights
  • Temporal and conditional interactions under different cellular states
  • Cross-species comparative analysis for evolutionary insights
  • Machine learning applications for interaction prediction and validation

Significance

HuRI represents a paradigm shift in understanding human cellular networks, providing:

  • The most comprehensive experimentally validated human interactome
  • A reference standard for computational prediction methods
  • A foundation for systems-level understanding of human biology
  • Critical insights into disease mechanisms and therapeutic opportunities

The resource continues to drive discoveries across multiple biological disciplines and serves as an essential tool for the global research community working to understand human health and disease.

Is this information incorrect or incomplete? Request an update.

Created: August 05, 2025 | Last modified: June 02, 2026