ReviewJournal of structural biology2009
Supported bilayers at the vanguard of immune cell activation studies.
Review in Journal of structural biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed, 68 citations in OpenAlex.
- Platforms for studying cell-cell recognition by immune cells.Immunology and cell biology · 2025Review
- Solution structure and synaptic analyses reveal determinants of bispecific T cell engager potency.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Ligand-induced conformational changes in protein molecules detected by sum-frequency generation.Biophysical journal · 2024Article
- Article
- Extracellular vesicles and microvilli in the immune synapse.Frontiers in immunology · 2023Review
- Expression profiling of mRNA and functional network analyses of genes regulated by human papilloma virus E6 and E7 proteins in HaCaT cells.Frontiers in microbiology · 2022Article
- Supported Lipid Bilayers and the Study of Two-Dimensional Binding Kinetics.Frontiers in molecular biosciences · 2022Review
- Molecular-scale spatio-chemical control of the activating-inhibitory signal integration in NK cells.Science advances · 2021Article
- Role of Actin Cytoskeleton Reorganization in Polarized Secretory Traffic at the Immunological Synapse.Frontiers in cell and developmental biology · 2021Review
- Calcium Signaling in T Cells Is Induced by Binding to Nickel-Chelating Lipids in Supported Lipid Bilayers.Frontiers in physiology · 2020Article
- [The preparation of supported lipid bilayers and its functional study].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2019Article
- Advanced Materials and Devices for the Regulation and Study of NK Cells.International journal of molecular sciences · 2019Review
- Dual Role of CD4 in Peripheral T Lymphocytes.Frontiers in immunology · 2019Review
- Protein Kinase C δ Regulates the Depletion of Actin at the Immunological Synapse Required for Polarized Exosome Secretion by T Cells.Frontiers in immunology · 2019Article
- Imaging Polarized Secretory Traffic at the Immune Synapse in Living T Lymphocytes.Frontiers in immunology · 2018Review
- Formin-generated actomyosin arcs propel T cell receptor microcluster movement at the immune synapse.The Journal of cell biology · 2016Article
- Remarkably low affinity of CD4/peptide-major histocompatibility complex class II protein interactions.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Biodegradable, Tethered Lipid Bilayer-Microsphere Systems with Membrane-Integrated α-Helical Peptide Anchors.Langmuir : the ACS journal of surfaces and colloids · 2016Article
- An Endothelial Planar Cell Model for Imaging Immunological Synapse Dynamics.Journal of visualized experiments : JoVE · 2015Article
- Supported Lipid Bilayer Technology for the Study of Cellular Interfaces.Current protocols in cell biology · 2015Article
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
Abstract
Biological adhesion between cells is critical for development of multicellular organisms and for the function of the adaptive immune system of vertebrates. A gap in understanding of adhesion systems arises from the difficulty of collecting quantitative data on the molecular interactions underlying adhesion, which is typically studied by population statistics such as percent adhesion in the presence of empirically defined forces to separate less adherent cells. Supported lipid bilayers formed on glass surfaces offer a useful model system in which to explore some basic features of molecular interactions in adhesive contacts. We have exploited the lateral mobility of molecules in the supported planar bilayers and fluorescence microscopy to develop a system for measurement of two-dimensional affinities and kinetic rates in contact areas. Affinity measurements are based on a modified Scatchard analysis. Measurements of kinetic rates are based on fluorescence photobleaching after recovery at the level of the entire contact area. This has been coupled to a reaction-diffusion equation that allows calculation of on- and off-rates. We have found that mixtures of ligands in supported planar bilayers can effectively activate T lymphocytes and simultaneously allow monitoring of the immunological synapse. Recent studies in planar bilayers have provided additional insights into organization principles of cell-cell interfaces. Perennial problems in understanding cell-cell communication are yielding to quantitative measurements based on planar bilayers in areas of ligand driven receptor clustering and the role of the actin cytoskeleton in immune cell activation. A major goal for the field is determining quantitative rules involved in signaling complex formation.
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.