ArticleBiomolecules2021
Quantitative Super-Resolution Imaging for the Analysis of GPCR Oligomerization.
Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 23 citations in OpenAlex.
- Quantitative nanoscale imaging shows peptide-MHC I complexes are monomeric and spatially regulated in human dendritic cells.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Stoichiometrically Defined Antibody-DNA Conjugates for Quantitative Super-Resolution Imaging.Nano letters · 2026Article
- Single-molecule localisation microscopy approaches reveal envelope glycoprotein clusters in single-enveloped viruses: a potential functional role?Biochemical Society transactions · 2025Review
- Disruption of constitutive CXCR4 oligomers impairs oncogenic properties in lymphoid neoplasms.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Single-molecule localization microscopy as a tool to quantify di/oligomerization of receptor tyrosine kinases and G protein-coupled receptors.Molecular pharmacology · 2025Review
- Quantitative Analysis of Protein-Protein Equilibrium Constants in Cellular Environments Using Single-Molecule Localization Microscopy.Nano letters · 2024Article
- Computational drug development for membrane protein targets.Nature biotechnology · 2024Review
- Understanding the Rhodopsin Worldview Through Atomic Force Microscopy (AFM): Structure, Stability, and Activity Studies.Chemical record (New York, N.Y.) · 2023Review
- Quantitative single molecule analysis of podoplanin clustering in fibroblastic reticular cells uncovers CD44 function.Open biology · 2023Article
- Article
- Single-molecule and super-resolved imaging deciphers membrane behavior of onco-immunogenic CCR5.iScience · 2022Article
- Single-molecule counting applied to the study of GPCR oligomerization.Biophysical journal · 2022Review
- Integration and Spatial Organization of Signaling by G Protein-Coupled Receptor Homo- and Heterodimers.Biomolecules · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
G-protein coupled receptors (GPCRs) are known to form homo- and hetero- oligomers which are considered critical to modulate their function. However, studying the existence and functional implication of these complexes is not straightforward as controversial results are obtained depending on the method of analysis employed. Here, we use a quantitative single molecule super-resolution imaging technique named qPAINT to quantify complex formation within an example GPCR. qPAINT, based upon DNA-PAINT, takes advantage of the binding kinetics between fluorescently labelled DNA imager strands to complementary DNA docking strands coupled to protein targeting antibodies to quantify the protein copy number in nanoscale dimensions. We demonstrate qPAINT analysis via a novel pipeline to study the oligomerization of the purinergic receptor Y2 (P2Y
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.