Evidence map›Paper›PMID 18813394›Full record

ArticleLab on a chip2008

Microfluidic platform for real-time signaling analysis of multiple single T cells in parallel.

Shannon Faley, Kevin Seale, Jacob Hughey, David K Schaffer, Scott VanCompernolle, Brett McKinney, Franz Baudenbacher, Derya Unutmaz, John P Wikswo

Abstract read
In one paragraph

Article in Lab on a chip, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Modeling Immunity In Vitro: Slices, Chips, and Engineered Tissues.Annual review of biomedical engineering · 2021
    Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Modeling immunity in microphysiological systems.Experimental biology and medicine (Maywood, N.J.) · 2023
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Sourcing cells forFrontiers in medical technology · 2022
    Review
  15. Article
  16. Article
  17. Microfluidics-Based Single-Cell Research for Intercellular Interaction.Frontiers in cell and developmental biology · 2021
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shannon FaleyVanderbilt Institute for Integrative Biosystems Research and Education (VIIBRE), Department of Biomedical Engineering, School of Medicine, Vanderbilt University, Nashville, TN 37235, USA.
Kevin Seale
Jacob Hughey
David K Schaffer
Scott VanCompernolle
Brett McKinney
Franz Baudenbacher
Derya Unutmaz
John P Wikswo

Funding

Metabolic Discrimination of Unknown Bacterial PathogensU01AI061223 · NIAID · VANDERBILT UNIVERSITY · PI WIKSWO, JOHN PETER · 2005 to 2009
$5.2M
NIAID NIH HHS U01 AI061223
6 · The paper itself

Abstract

Deciphering the signaling pathways that govern stimulation of naïve CD4+ T helper cells by antigen-presenting cells via formation of the immunological synapse is key to a fundamental understanding of the progression of successful adaptive immune response. The study of T cell-APC interactions in vitro is challenging, however, due to the difficulty of tracking individual, non-adherent cell pairs over time. Studying single cell dynamics over time reveals rare, but critical, signaling events that might be averaged out in bulk experiments, but these less common events are undoubtedly important for an integrated understanding of a cellular response to its microenvironment. We describe a novel application of microfluidic technology that overcomes many limitations of conventional cell culture and enables the study of hundreds of passively sequestered hematopoietic cells for extended periods of time. This microfluidic cell trap device consists of 440 18 micromx18 micromx10 microm PDMS, bucket-like structures opposing the direction of flow which serve as corrals for cells as they pass through the cell trap region. Cell viability analysis revealed that more than 70% of naïve CD4+ T cells (TN), held in place using only hydrodynamic forces, subsequently remain viable for 24 hours. Cytosolic calcium transients were successfully induced in TN cells following introduction of chemical, antibody, or cellular forms of stimulation. Statistical analysis of TN cells from a single stimulation experiment reveals the power of this platform to distinguish different calcium response patterns, an ability that might be utilized to characterize T cell signaling states in a given population. Finally, we investigate in real time contact- and non-contact-based interactions between primary T cells and dendritic cells, two main participants in the formation of the immunological synapse. Utilizing the microfluidic traps in a daisy-chain configuration allowed us to observe calcium transients in TN cells exposed only to media conditioned by secretions of lipopolysaccharide-matured dendritic cells, an event which is easily missed in conventional cell culture where large media-to-cell ratios dilute cellular products. Further investigation into this intercellular signaling event indicated that LPS-matured dendritic cells, in the absence of antigenic stimulation, secrete chemical signals that induce calcium transients in T(N) cells. While the stimulating factor(s) produced by the mature dendritic cells remains to be identified, this report illustrates the utility of these microfluidic cell traps for analyzing arrays of individual suspension cells over time and probing both contact-based and intercellular signaling events between one or more cell populations.

Indexed as

Signal TransductionCD4-Positive T-LymphocytesCluster AnalysisMicrofluidics

Identifiers

PMID18813394
PMCPMC4160168

What OpenQuestion holds

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Registered trials

None linked

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.