ReviewJournal of biosciences2018
Fluorescence-based approaches for monitoring membrane receptor oligomerization.
Review in Journal of biosciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- VEGFR2 dimerization kinetics on the cell surface determined by microscopy and mathematical modeling.Biophysical journal · 2026Article
- Graph neural network modeling of receptor interaction kinetics from single-molecule imaging data.bioRxiv : the preprint server for biology · 2026Article
- Single-molecule imaging of glycan-lectin interactions on cells with Glyco-PAINT.Nature chemical biology · 2021Article
- Knock-in tagging in zebrafish facilitated by insertion into non-coding regions.Development (Cambridge, England) · 2021Article
- Fluorescence-based techniques for the detection of the oligomeric status of proteins: implication in amyloidogenic diseases.European biophysics journal : EBJ · 2021Review
- Site-Directed Fluorescence Approaches for Dynamic Structural Biology of Membrane Peptides and Proteins.Frontiers in molecular biosciences · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Membrane protein structures are highly under-represented relative to water-soluble protein structures in the protein databank. This is especially the case because membrane proteins represent more than 30% of proteins encoded in the human genome yet contribute to less than 10% of currently known structures (Torres et al. in Trends Biol Sci 28:137-144, 2003). Obtaining high-resolution structures of membrane proteins by traditional methods such as NMR and x-ray crystallography is challenging, because membrane proteins are difficult to solubilise, purify and crystallize. Consequently, development of methods to examine protein structure in situ is highly desirable. Fluorescence is highly sensitive to protein structure and dynamics (Lakowicz in Principles of fluorescence spectroscopy, Springer, New York, 2007). This is mainly because of the time a fluorescence probe molecule spends in the excited state. Judicious choice and placement of fluorescent molecule(s) within a protein(s) enables the experimentalist to obtain information at a specific site(s) in the protein (complex) of interest. Moreover, the inherent multi-dimensional nature of fluorescence signals across wavelength, orientation, space and time enables the design of experiments that give direct information on protein structure and dynamics in a biological setting. The purpose of this review is to introduce the reader to approaches to determine oligomeric state or quaternary structure at the cell membrane surface with the ultimate goal of linking the oligomeric state to the biological function. In the first section, we present a brief overview of available methods for determining oligomeric state and compare their advantages and disadvantages. In the second section, we highlight some of the methods developed in our laboratory to address contemporary questions in membrane protein oligomerization. In the third section, we outline our approach to determine the link between protein oligomerization and biological activity.
Indexed as
Identifiers
30002266W2803434204What 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.