ArticleBiomicrofluidics2017
Microfluidic platform for characterizing TCR-pMHC interactions.
Article in Biomicrofluidics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 15 citations in OpenAlex.
- Machine learning predictions of T cell antigen specificity from intracellular calcium dynamics.Science advances · 2024Article
- Microfluidic device combining hydrodynamic and dielectrophoretic trapping for the controlled contact between single micro-sized objects and application to adhesion assays.Lab on a chip · 2023Article
- Microfluidic T Cell Selection by Cellular Avidity.Advanced healthcare materials · 2022Article
- Engineered Microphysiological Systems for Testing Effectiveness of Cell-Based Cancer Immunotherapies.Cancers · 2022Review
- Massively parallel quantification of phenotypic heterogeneity in single-cell drug responses.Science advances · 2021Article
- The CAR T-Cell Mechanoimmunology at a Glance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Review
- Microfluidic device performing on flow study of serial cell-cell interactions of two cell populations.RSC advances · 2019Article
- NMR: an essential structural tool for integrative studies of T cell development, pMHC ligand recognition and TCR mechanobiology.Journal of biomolecular NMR · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
The physical characteristics of the T cell receptor (TCR)-peptide-major histocompatibility complex (pMHC) interaction are known to play a central role in determining T cell function in the initial stages of the adaptive immune response. State-of-the-art assays can probe the kinetics of this interaction with single-molecular-bond resolution, but this precision typically comes at the cost of low throughput, since the complexity of these measurements largely precludes "scaling up." Here, we explore the feasibility of detecting specific TCR-pMHC interactions by flowing T cells past immobilized pMHC and measuring the reduction in cell speed due to the mechanical force of the receptor-ligand interaction. To test this new fluidic measurement modality, we fabricated a microfluidic device in which pMHC-coated beads are immobilized in hydrodynamic traps along the length of a serpentine channel. As T cells flow past the immobilized beads, their change in speed is tracked via microscopy. We validated this approach using two model systems: primary CD8
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.