ReviewAdvances in experimental medicine and biology2014
A mass spectrometry view of stable and transient protein interactions.
Review in Advances in experimental medicine and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 38 citations in OpenAlex.
- Proteomic Identification of Pig Xenoantigens for Clinical Xenotransplantation.bioRxiv : the preprint server for biology · 2026Article
- Exploring Protein Interactomes Using TurboID-Directed Proximity Labeling and Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Expanding the Reach of Membrane Protein-Ligand Interaction Studies Through the Integration of Mass Spectrometry and Membrane Mimetics.Proteomics · 2025Review
- Applications of the wheat germ cell-free protein synthesis system in plant biochemical studies.Plant biotechnology (Tokyo, Japan) · 2024Article
- Reduction of ZFX levels decreases histone H4 acetylation and increases Pol2 pausing at target promoters.Nucleic acids research · 2024Article
- IMPRINTS.CETSA and IMPRINTS.CETSA.app: an R package and a Shiny application for the analysis and interpretation of IMPRINTS-CETSA data.Briefings in bioinformatics · 2024Article
- Cell Cycle-Specific Protein Phosphatase 1 (PP1) Substrates Identification Using Genetically Modified Cell Lines.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Studying Protein-Ligand Interactions by Protein Denaturation and Quantitative Cross-Linking Mass Spectrometry.Analytical chemistry · 2023Article
- High-Sensitivity Proteome-Scale Searches for Crosslinked Peptides Using CRIMP 2.0.Analytical chemistry · 2023Article
- Riboflavin kinase and pyridoxine 5'-phosphate oxidase complex formation envisages transient interactions for FMN cofactor delivery.Frontiers in molecular biosciences · 2023Article
- Dynamics of huntingtin protein interactions in the striatum identifies candidate modifiers of Huntington disease.Cell systems · 2022Article
- Dynamic, but Not Necessarily Disordered, Human-Virus Interactions Mediated through SLiMs in Viral Proteins.Viruses · 2021Review
- Protein-DNA/RNA Interactions: An Overview of Investigation Methods in the -Omics Era.Journal of proteome research · 2021Review
- The chemical biology of coronavirus host-cell interactions.RSC chemical biology · 2021Review
- Thyroglobulin Interactome Profiling Defines Altered Proteostasis Topology Associated With Thyroid Dyshormonogenesis.Molecular & cellular proteomics : MCP · 2021Article
- RNA aptamer capture of macromolecular complexes for mass spectrometry analysis.Nucleic acids research · 2020Article
- Quantitative Interactome Proteomics Reveals a Molecular Basis for ATF6-Dependent Regulation of a Destabilized Amyloidogenic Protein.Cell chemical biology · 2019Article
- Optimized Cross-Linking Mass Spectrometry for in Situ Interaction Proteomics.Journal of proteome research · 2019Article
- Integrating molecular networks with genetic variant interpretation for precision medicine.Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Hepatitis C virus enters liver cells using the CD81 receptor complex proteins calpain-5 and CBLB.PLoS pathogens · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Through an impressive range of dynamic interactions, proteins succeed to carry out the majority of functions in a cell. These temporally and spatially regulated interactions provide the means through which one single protein can perform diverse functions and modulate different cellular pathways. Understanding the identity and nature of these interactions is therefore critical for defining protein functions and their contribution to health and disease processes. Here, we provide an overview of workflows that incorporate immunoaffinity purifications and quantitative mass spectrometry (frequently abbreviated as IP-MS or AP-MS) for characterizing protein-protein interactions. We discuss experimental aspects that should be considered when optimizing the isolation of a protein complex. As the presence of nonspecific associations is a concern in these experiments, we discuss the common sources of nonspecific interactions and present label-free and metabolic labeling mass spectrometry-based methods that can help determine the specificity of interactions. The effective regulation of cellular pathways and the rapid reaction to various environmental stresses rely on the formation of stable, transient, and fast-exchanging protein-protein interactions. While determining the exact nature of an interaction remains challenging, we review cross-linking and metabolic labeling approaches that can help address this important aspect of characterizing protein interactions and macromolecular assemblies.
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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.