| Literature DB >> 33066142 |
Suresh Veeramani1,2, George J Weiner1,2.
Abstract
Molecular complexes, such as ligand-receptor complexes, are vital for both health and disease and can be shed into the circulation in soluble form. Relatively little is known about the biology of soluble ligand-receptor complexes. The functional importance of such complexes and their potential use as clinical biomarkers in diagnosis and therapy remains underappreciated. Most traditional technologies used to study ligand-receptor complexes measure the individual levels of soluble ligands or receptors rather than the complexes themselves. The fraction of receptors occupied by ligand, and the potential clinical relevance of such information, has been largely overlooked. Here, we review the biological significance of soluble ligand-receptor complexes with a specific focus on their potential as biomarkers of cancer and other inflammatory diseases. In addition, we discuss a novel RNA aptamer-based technology, designated ligand-receptor complex-binding aptamers (LIRECAP), that can provide precise measurement of the fraction of a soluble receptor occupied by its ligand. The potential applicability of the LIRECAP technology as a biomarker discovery platform is also described.Entities:
Keywords: LIRECAP; RNA aptamers; biomarkers; cancer; ligand–receptor complexes
Year: 2020 PMID: 33066142 PMCID: PMC7601969 DOI: 10.3390/cancers12102956
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Current technologies and their applications in ligand–receptor studies.
| Primary Application | Technique(s) | Limitations | Citations |
|---|---|---|---|
| Quantify receptors or ligands | RIA and ELISAs using labeled antibodies | Usually used to measure individual receptors or ligands; ELISA-based assays that combine both anti-receptor and anti-ligand antibodies to detect complexes are designed to quantify complexes and not assess fractional occupancy of a receptor by a ligand | [ |
| Determine the ligand–receptor interaction kinetics | Labeled ligands (e.g., radioactively labeled), Surface Plasmon Resonance (SPR) and Fluorescence Resonance Energy Transfer (FRET) | Limited use in clinical diagnosis due to challenges in handling large number of samples simultaneously | [ |
| Identify interacting molecules | Co-immunoprecipitation; mass spectrometry | Data is qualitative to semi-quantitative; high-throughput assay is not feasible | [ |
| Determine co-localization in the cellular environment | Confocal microscopy | Data is qualitative | [ |
| Measure biological function | Assessment of signal transduction (e.g., arrays, such as ZeptoMARK), cell proliferation or differentiation induced as a result of ligand–receptor binding | Provides indirect analysis of ligand–receptor interaction | [ |
Figure 1Mechanisms of action by soluble receptors and ligand–receptor complexes. Schematic representation of the mechanisms by which soluble receptors and ligand–receptor complexes influence membrane-bound receptor components and regulate signal transduction and cellular activity.
Figure 2Key steps in the ligand–receptor complex-binding aptamers (LIRECAP) technology for measuring the fractional occupancy of soluble receptors. LIRECAP technology is based on the aptamer pairs that preferentially bind to either the unoccupied receptor or the ligand–receptor complex. When added in equimolar concentration to a given sample, the ratio of binding linearly correlates with the fraction of receptor occupied by the ligand in that sample. Using a standard curve made with samples of known fractional occupancy values, it is possible to calculate the fractional occupancy of the receptor in an unknown sample, such as clinical biospecimens.
Figure 3Fractional IL2 occupancy of soluble IL2Ra in healthy individuals and lymphoma patients, as analyzed by LIRECAP assay. Fractional occupancy of soluble IL2Ra by IL2 was measured using the LIRECAP assay using serum from healthy subjects and patients with Follicular lymphoma (FL) or Diffuse large B cell lymphoma (DLBCL). Data was compared using one-way ANOVA (Tukey’s test).