ReviewBiomaterials2007
Fluorescent resonance energy transfer: A tool for probing molecular cell-biomaterial interactions in three dimensions.
Review in Biomaterials, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- At the Pointy End of Mechanobiology: AFM for Transient Biomechanical Analysis.Advanced healthcare materials · 2025Review
- Fluorescent Probes with Förster Resonance Energy Transfer Function for Monitoring the Gelation and Formation of Nanoparticles Based on Chitosan Copolymers.Journal of functional biomaterials · 2023Article
- Plasmonic Biosensing for Label-Free Detection of Two Hallmarks of Cancer Cells: Cell-Matrix Interaction and Cell Division.Biosensors · 2022Article
- Visualization of integrin molecules by fluorescence imaging and techniques.Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al · 2021Article
- Quantum Ensembles of Silicon Nanoparticles: Discrimination of Static and Dynamic Photoluminescence Quenching Processes.The journal of physical chemistry. C, Nanomaterials and interfaces · 2019Article
- Surface biology of collagen scaffold explains blocking of wound contraction and regeneration of skin and peripheral nerves.Biomedical materials (Bristol, England) · 2015Review
- Multivalent protein assembly using monovalent self-assembling building blocks.International journal of molecular sciences · 2013Article
- Designing degradable hydrogels for orthogonal control of cell microenvironments.Chemical Society reviews · 2013Review
- An optical method to quantify the density of ligands for cell adhesion receptors in three-dimensional matrices.Journal of the Royal Society, Interface · 2010Article
- Zwitterionic chitosan derivatives for pH-sensitive stealth coating.Biomacromolecules · 2010Article
- Harnessing traction-mediated manipulation of the cell/matrix interface to control stem-cell fate.Nature materials · 2010Article
- Gene delivery through the use of a hyaluronate-associated intracellularly degradable crosslinked polyethyleneimine.Biomaterials · 2009Article
- 3D imaging of tissue integration with porous biomaterials.Biomaterials · 2008Article
- Optical tweezers for single cells.Journal of the Royal Society, Interface · 2008Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The current paradigm in designing biomaterials is to optimize material chemical and physical parameters based on correlations between these parameters and downstream biological responses, whether in vitro or in vivo. Extensive developments in molecular design of biomaterials have facilitated identification of several biophysical and biochemical variables (e.g. adhesion peptide density, substrate elastic modulus) as being critical to cell response. However, these empirical observations do not indicate whether different parameters elicit cell responses by modulating redundant variables of the cell-material interface (e.g. number of cell-material bonds, cell-matrix mechanics). Recently, fluorescence resonance energy transfer (FRET) has been applied to quantitatively analyze parameters of the cell-material interface for both two- and three-dimensional adhesion substrates. Tools based on FRET have been utilized to quantify several parameters of the cell-material interface relevant to cell response, including molecular changes in matrix proteins induced by interactions both with surfaces and cells, the number of bonds between integrins and their adhesion ligands, and changes in the crosslink density of hydrogel synthetic extracellular matrix analogs. As such techniques allow both dynamic and 3-D analyses they will be useful to quantitatively relate downstream cellular responses (e.g. gene expression) to the composition of this interface. Such understanding will allow bioengineers to fully exploit the potential of biomaterials engineered on the molecular scale, by optimizing material chemical and physical properties to a measurable set of interfacial parameters known to elicit a predictable response in a specific cell population. This will facilitate the rational design of complex, multi-functional biomaterials used as model systems for studying diseases or for clinical applications.
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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.