ReviewTrends in pharmacological sciences2018
Spatial Intensity Distribution Analysis: Studies of G Protein-Coupled Receptor Oligomerisation.
Review in Trends in pharmacological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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
16 citing papers in PubMed.
- TR-FRET between engineered nanobodies reveals the existence of endogenous CXCR4 oligomers.Communications biology · 2025Article
- Intensity-Based Estimation of Monomeric Brightness for Fluorescent Proteins.International journal of molecular sciences · 2025Article
- Article
- The MProceedings of the National Academy of Sciences of the United States of America · 2022Article
- Rhodopsins: An Excitingly Versatile Protein Species for Research, Development and Creative Engineering.Frontiers in chemistry · 2022Review
- Fluorescence intensity fluctuation analysis of receptor oligomerization in membrane domains.Biophysical journal · 2021Article
- Luminescence- and Fluorescence-Based Complementation Assays to Screen for GPCR Oligomerization: Current State of the Art.International journal of molecular sciences · 2019Review
- A general method to quantify ligand-driven oligomerization from fluorescence-based images.Nature methods · 2019Article
- GPCR homo-oligomerization.Current opinion in cell biology · 2019Review
- Can Allosteric Receptor-Protein Interactions in Receptor Complexes Be a Molecular Mechanism Involved in Cancer Immune Therapy?Frontiers in endocrinology · 2019Article
- Probing the Druggablility on the Interface of the Protein-Protein Interaction and Its Allosteric Regulation Mechanism on the Drug Screening for the CXCR4 Homodimer.Frontiers in pharmacology · 2019Article
- Immune signalling by supramolecular assemblies.Immunology · 2018Review
- Mechanisms of signalling and biased agonism in G protein-coupled receptors.Nature reviews. Molecular cell biology · 2018Review
- G protein-coupled receptors in arthropod vectors: omics and pharmacological approaches to elucidate ligand-receptor interactions and novel organismal functions.Current opinion in insect science · 2018Review
- Muscarinic receptor oligomerization.Neuropharmacology · 2018Review
- Chemokine receptor CXCR4 oligomerization is disrupted selectively by the antagonist ligand IT1t.The Journal of biological chemistryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Spatial intensity distribution analysis (SpIDA) is a recently developed approach for determining quaternary structure information on fluorophore-labelled proteins of interest in situ. It can be applied to live or fixed cells and native tissue. Using confocal images, SpIDA generates fluorescence intensity histograms that are analysed by super-Poissonian distribution functions to obtain density and quantal brightness values of the fluorophore-labelled protein of interest. This allows both expression level and oligomerisation state of the protein to be determined. We describe the application of SpIDA to investigate the oligomeric state of G protein-coupled receptors (GPCRs) at steady state and following cellular challenge, and consider how SpIDA may be used to explore GPCR quaternary organisation in pathophysiology and to stratify medicines.
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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.