ReviewAnnals of biomedical engineering2020
The Convergence of Cell-Based Surface Plasmon Resonance and Biomaterials: The Future of Quantifying Bio-molecular Interactions-A Review.
Review in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Aminated fullerene-based nanoplatform enables synergistic VEGFR2-targeted anti-angiogenesis and tumor immunotherapy.Bioactive materials · 2026Article
- SPR Sensing: From Biomolecular Interactions to Cell-Based Analysis.Biosensors · 2026Review
- Non-enzymatic dual-mode plasmonic framework for robust bioanalyte detection.Scientific reports · 2026Article
- Natural Products Beyond Inhibition: A Mechanistic Framework Spanning Pockets, Interfaces, and Kinetic Barriers.Molecules (Basel, Switzerland) · 2026Review
- Real-Time Binding Kinetics of Small Molecules to CA IX in Live Suspension Cells Using SPR Microscopy.ACS medicinal chemistry letters · 2026Article
- Updates to Guidance on Using Biacore for Protein-Protein Interactions Analysis.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Target Engagement Assays in Early Drug Discovery.Journal of medicinal chemistry · 2025Review
- Trends in surface plasmon resonance biosensing: materials, methods, and machine learning.Analytical and bioanalytical chemistry · 2024Review
- Ginger nanoparticles mediated induction of Foxa2 prevents high-fat diet-induced insulin resistance.Theranostics · 2022Article
- Label-free methods for opticalPhysical chemistry chemical physics : PCCP · 2021Review
- Systems Biology Will Direct Vascular-Targeted Therapy for Obesity.Frontiers in physiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Cell biology is driven by complex networks of biomolecular interactions. Characterizing the kinetic and thermodynamic properties of these interactions is crucial to understanding their role in different physiological processes. Surface plasmon resonance (SPR)-based approaches have become a key tool in quantifying biomolecular interactions, however conventional approaches require isolating the interacting components from the cellular system. Cell-based SPR approaches have recently emerged, promising to enable precise measurements of biomolecular interactions within their normal biological context. Two major approaches have been developed, offering their own advantages and limitations. These approaches currently lack a systematic exploration of 'best practices' like those existing for traditional SPR experiments. Toward this end, we describe the two major approaches, and identify the experimental parameters that require exploration, and discuss the experimental considerations constraining the optimization of each. In particular, we discuss the requirements of future biomaterial development needed to advance the cell-based SPR technique.
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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.