ArticleNature communications2023
Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 40 citations in OpenAlex.
- Salvianolic Acid a Disrupts the HSP90α-AKT-PERK Ternary Complex to Alleviate Atherosclerosis by Activating Endoplasmic Reticulum Stress of Senescent Vascular Smooth Muscle Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Comprehensive metabolomic profiling of Egyptian Salvia species reveals promising leads for chemopreventive and anti-inflammatory drug development: In vitro and In silico study.Scientific reports · 2026Article
- Ligand-driven modulation of chaperone-cochaperone networks shapes proteostasis outcomes.Protein science : a publication of the Protein Society · 2026Article
- Targeting protein protein interactions and their modulators to enable new therapeutic strategies for human diseases.NPJ systems biology and applications · 2026Review
- Label-Free Target Discovery Strategy for Natural Active Products.Biomolecules · 2026Review
- Embracing diversity: Post-translational modifications, the chaperone code, and the emergence of new chaperone entities.Cell stress & chaperones · 2026Review
- BDDN: bayesian dynamic differential network analysis in cancer proteomics.BMC bioinformatics · 2026Article
- HSP70 governs permeability and mechanotransduction in primary human endothelial cells.FEBS open bio · 2026Article
- Discovery of the MELK-Nucleostemin Axis in Glioblastoma: Implications for p53 Regulation and Tumor Progression.Journal of microbiology and biotechnology · 2026Article
- MED-PPIS: Multi-order Moments External Graph Attention Network with Dual-Axis Attention for Protein-Protein Interaction Site Prediction.Interdisciplinary sciences, computational life sciences · 2025Article
- Mapping Dysfunctional Protein-Protein Interactions in Disease.Journal of visualized experiments : JoVE · 2025Article
- PTMs as molecular encoders: reprogramming chaperones into epichaperomes for network control in disease.Trends in biochemical sciences · 2025Review
- In vivo imaging of heat shock protein 90: Diagnostic tool and support for Hsp90-targeted therapy.Cell stress & chaperones · 2025Review
- Recent progress and future challenges in structure-based protein-protein interaction prediction.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- Hsp70: A Multifunctional Chaperone in Maintaining Proteostasis and Its Implications in Human Disease.Cells · 2025Review
- Systems-Level Interactome Mapping Reveals Actionable Protein Network Dysregulation Across the Alzheimer's Disease Spectrum.Research square · 2025Article
- Review
- A systems biology approach to unveil shared therapeutic targets and pathological pathways across major human cancers.Computational and structural biotechnology journal · 2025Article
- Characterizing protein-protein interactions with thermal proteome profiling.Current opinion in structural biology · 2024Review
- Introducing dysfunctional Protein-Protein Interactome (dfPPI) - A platform for systems-level protein-protein interaction (PPI) dysfunction investigation in disease.Current opinion in structural biology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors at 6 institutions in 3 countries.
Funding
Abstract
Systems-level assessments of protein-protein interaction (PPI) network dysfunctions are currently out-of-reach because approaches enabling proteome-wide identification, analysis, and modulation of context-specific PPI changes in native (unengineered) cells and tissues are lacking. Herein, we take advantage of chemical binders of maladaptive scaffolding structures termed epichaperomes and develop an epichaperome-based 'omics platform, epichaperomics, to identify PPI alterations in disease. We provide multiple lines of evidence, at both biochemical and functional levels, demonstrating the importance of these probes to identify and study PPI network dysfunctions and provide mechanistically and therapeutically relevant proteome-wide insights. As proof-of-principle, we derive systems-level insight into PPI dysfunctions of cancer cells which enabled the discovery of a context-dependent mechanism by which cancer cells enhance the fitness of mitotic protein networks. Importantly, our systems levels analyses support the use of epichaperome chemical binders as therapeutic strategies aimed at normalizing PPI networks.
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.