ReviewMolecular systems biology2021
Mass spectrometry-based protein-protein interaction networks for the study of human diseases.
Review in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 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
113 citing papers in PubMed, 198 citations in OpenAlex.
- Unified down-stream analysis of crosslinking mass spectrometry results with pyXLMS.Nature communications · 2026Article
- Proteomic investigation of signaling dynamics: from static maps to network rewiring.Bioscience reports · 2026Review
- Proteomics-Driven Strategies for Proximity-Inducing Drug Discovery.Angewandte Chemie (International ed. in English) · 2026Review
- Advances in proteomics research related to semaglutide: evidence from humans and animals.Journal of endocrinological investigation · 2026Review
- Mapping the dynamic plant interactome: from in vitro assays to in vivo quantitative approaches.Plant methods · 2026Review
- Proteomic and glycosylation biomarkers in rheumatoid arthritis: advancing early diagnosis and precision therapy.Clinical proteomics · 2026Review
- Development of Antagonist Peptides of the Crk/CrkL SH2 Domains by Modifying the Peripheral Amino Acid Residues of the YXXP Motif.Biochemistry · 2026Article
- Determination of α-Synuclein Protein Interactions by μMap Photoproximity Labeling.Journal of the American Chemical Society · 2026Article
- Amyloid-β, Tau Protein, α-Synuclein, TDP-43, and FUS in Mixed Pathology: And Intrinsic Disorder to Rule Them All.International journal of molecular sciences · 2026Review
- Genetic landscape of cancer: mechanisms, key genes, and therapeutic implications.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Multiplexed measurements of protein-protein interactions and protein abundance across cellular conditions using Prod&PQ-seq.bioRxiv : the preprint server for biology · 2026Article
- Using Biological Networks to Guide Biomedical Prediction.Methods in molecular biology (Clifton, N.J.) · 2026Article
- HVIface: sequence-based deep learning for decoding human-virus protein-protein interfaces.Frontiers in bioinformatics · 2026Article
- Towards a phylogenetically informed approach to solving protein-protein interactions.Biochemical Society transactions · 2025Review
- Nucleolar MED19 regulates 2'-O-methylation of rRNA in supporting cancer cell growth.Nucleic acids research · 2025Article
- Review
- Bacterial Systematic Genetics and Integrated Multi-Omics: Beyond Static Genomics Toward Predictive Models.International journal of molecular sciences · 2025Review
- Progress and Prospects in FRET for the Investigation of Protein-Protein Interactions.Biosensors · 2025Review
- Determination of α-Synuclein Protein Interactions by μMap Photo-proximity Labeling.bioRxiv : the preprint server for biology · 2025Article
- diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling.Journal of proteome research · 2025Article
53 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
A better understanding of the molecular mechanisms underlying disease is key for expediting the development of novel therapeutic interventions. Disease mechanisms are often mediated by interactions between proteins. Insights into the physical rewiring of protein-protein interactions in response to mutations, pathological conditions, or pathogen infection can advance our understanding of disease etiology, progression, and pathogenesis and can lead to the identification of potential druggable targets. Advances in quantitative mass spectrometry (MS)-based approaches have allowed unbiased mapping of these disease-mediated changes in protein-protein interactions on a global scale. Here, we review MS techniques that have been instrumental for the identification of protein-protein interactions at a system-level, and we discuss the challenges associated with these methodologies as well as novel MS advancements that aim to address these challenges. An overview of examples from diverse disease contexts illustrates the potential of MS-based protein-protein interaction mapping approaches for revealing disease mechanisms, pinpointing new therapeutic targets, and eventually moving toward personalized applications.
Indexed as
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What Socratic 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 Socratic graph.