ReviewFrontiers in genetics2015
Human protein interaction networks across tissues and diseases.
Review in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed.
- Strategies for constructing context-specific protein-protein interaction networks.Briefings in bioinformatics · 2026Review
- NCES: A Cell-Specific Network-Augmented Essentiality Framework for Cancer Therapeutic Target Discovery.Computational and structural biotechnology journal · 2026Article
- A unified analysis of atlas single-cell data.Genome research · 2025Article
- Leveraging Network Target Theory for Efficient Prediction of Drug-Disease Interactions: A Transfer Learning Approach.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Network-based anomaly detection algorithm reveals proteins with major roles in human tissues.GigaScience · 2025Article
- Pharmacogenomics of clinical response to Natalizumab in multiple sclerosis: a genome-wide multi-centric association study.Journal of neurology · 2024Article
- Improvements in viral gene annotation using large language models and soft alignments.BMC bioinformatics · 2024Article
- Targeting stressor-induced dysfunctions in protein-protein interaction networks via epichaperomes.Trends in pharmacological sciences · 2023Review
- Computational modeling of human-nCoV protein-protein interaction network.Methods (San Diego, Calif.) · 2022Article
- Protein-Protein Binding Free Energy Predictions with the MM/PBSA Approach Complemented with the Gaussian-Based Method for Entropy Estimation.ACS omega · 2022Article
- Disease-specific interactome alterations via epichaperomics: the case for Alzheimer's disease.The FEBS journal · 2022Review
- Biological interacting units identified in human protein networks reveal tissue-functional diversification and its impact on disease.Computational and structural biotechnology journal · 2022Article
- Pharmacologically controlling protein-protein interactions through epichaperomes for therapeutic vulnerability in cancer.Communications biology · 2021Article
- A Human Pan-Cancer System Analysis of Procollagen-Lysine, 2-Oxoglutarate 5-Dioxygenase 3 (PLOD3).International journal of molecular sciences · 2021Article
- FINER: enhancing the prediction of tissue-specific functions of isoforms by refining isoform interaction networks.NAR genomics and bioinformatics · 2021Article
- PINA 3.0: mining cancer interactome.Nucleic acids research · 2021Article
- Detecting Rewiring Events in Protein-Protein Interaction Networks Based on Transcriptomic Data.Frontiers in bioinformatics · 2021Review
- Dynamics of a Protein Interaction Network Associated to the Aggregation of polyQ-Expanded Ataxin-1.Genes · 2020Article
- Cytokines mapping for tissue-specific expression, eQTLs and GWAS traits.Scientific reports · 2020Article
- Mechanisms of tissue and cell-type specificity in heritable traits and diseases.Nature reviews. Genetics · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein interaction networks are an important framework for studying protein function, cellular processes, and genotype-to-phenotype relationships. While our view of the human interaction network is constantly expanding, less is known about networks that form in biologically important contexts such as within distinct tissues or in disease conditions. Here we review efforts to characterize these networks and to harness them to gain insights into the molecular mechanisms underlying human disease.
Indexed as
Identifiers
What OpenQuestion holds
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.