ArticlePloS one2013
Quantifying biomass changes of single CD8+ T cells during antigen specific cytotoxicity.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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.
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Who cites it
24 citing papers in PubMed, 40 citations in OpenAlex.
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- Rapid, label-free classification of tumor-reactive T cell killing with quantitative phase microscopy and machine learning.Scientific reports · 2021Article
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- Label-free hematology analysis using deep-ultraviolet microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Cell viscoelasticity is linked to fluctuations in cell biomass distributions.Scientific reports · 2020Article
- Identifying fates of cancer cells exposed to mitotic inhibitors by quantitative phase imaging.The Analyst · 2019Article
- Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning.Analytical chemistry · 2019Article
- Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics.Journal of visualized experiments : JoVE · 2018Article
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- Soft lithography fabrication of index-matched microfluidic devices for reducing artifacts in fluorescence and quantitative phase imaging.Microfluidics and nanofluidics · 2018Article
- Label-free characterization of white blood cells by measuring 3D refractive index maps.Biomedical optics express · 2015Article
- Hybrid random walk-linear discriminant analysis method for unwrapping quantitative phase microscopy images of biological samples.Journal of biomedical optics · 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
5 authors at 3 institutions in 1 country.
Funding
Abstract
Existing approaches that quantify cytotoxic T cell responses rely on bulk or surrogate measurements which impede the direct identification of single activated T cells of interest. Single cell microscopy or flow cytometry methodologies typically rely on fluorescent labeling, which limits applicability to primary cells such as human derived T lymphocytes. Here, we introduce a quantitative method to track single T lymphocyte mediated cytotoxic events within a mixed population of cells using live cell interferometry (LCI), a label-free microscopy technique that maintains cell viability. LCI quantifies the mass distribution within individual cells by measuring the phase shift caused by the interaction of light with intracellular biomass. Using LCI, we imaged cytotoxic T cells killing cognate target cells. In addition to a characteristic target cell mass decrease of 20-60% over 1-4 h following attack by a T cell, there was a significant 4-fold increase in T cell mass accumulation rate at the start of the cytotoxic event and a 2-3 fold increase in T cell mass relative to the mass of unresponsive T cells. Direct, label-free measurement of CD8+ T and target cell mass changes provides a kinetic, quantitative assessment of T cell activation and a relatively rapid approach to identify specific, activated patient-derived T cells for applications in cancer immunotherapy.
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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.