Evidence map›Paper›PMID 23544131›Full record

ArticlePloS one2013

Single-cell measurements of IgE-mediated FcεRI signaling using an integrated microfluidic platform.

Yanli Liu, Dipak Barua, Peng Liu, Bridget S Wilson, Janet M Oliver, William S Hlavacek, Anup K Singh

Open access · goldAbstract read
In one paragraph

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. A novel eremophilane lactone inhibits FcεRI-dependent release of pro-inflammatory mediators: structure-dependent bioactivity.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2016
    Article
  7. Review
  8. Review
  9. Review
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

7 authors at 3 institutions in 1 country.

Yanli LiuBiotechnology and Bioengineering Department, Sandia National Laboratories, Livermore, California, United States of America.
Dipak Barua
Peng Liu
Bridget S Wilson
Janet M Oliver
William S Hlavacek
Anup K Singh
Sandia National Laboratories California · USLos Alamos National Laboratory · USNew Mexico Cancer Center · US

Funding

UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2009 to 2018
$26.1M
NIGMS NIH HHS P50 GM085273NIGMS NIH HHS P50GM085273
6 · The paper itself

Abstract

Heterogeneity in responses of cells to a stimulus, such as a pathogen or allergen, can potentially play an important role in deciding the fate of the responding cell population and the overall systemic response. Measuring heterogeneous responses requires tools capable of interrogating individual cells. Cell signaling studies commonly do not have single-cell resolution because of the limitations of techniques used such as Westerns, ELISAs, mass spectrometry, and DNA microarrays. Microfluidics devices are increasingly being used to overcome these limitations. Here, we report on a microfluidic platform for cell signaling analysis that combines two orthogonal single-cell measurement technologies: on-chip flow cytometry and optical imaging. The device seamlessly integrates cell culture, stimulation, and preparation with downstream measurements permitting hands-free, automated analysis to minimize experimental variability. The platform was used to interrogate IgE receptor (FcεRI) signaling, which is responsible for triggering allergic reactions, in RBL-2H3 cells. Following on-chip crosslinking of IgE-FcεRI complexes by multivalent antigen, we monitored signaling events including protein phosphorylation, calcium mobilization and the release of inflammatory mediators. The results demonstrate the ability of our platform to produce quantitative measurements on a cell-by-cell basis from just a few hundred cells. Model-based analysis of the Syk phosphorylation data suggests that heterogeneity in Syk phosphorylation can be attributed to protein copy number variations, with the level of Syk phosphorylation being particularly sensitive to the copy number of Lyn.

Indexed as

Signal TransductionAnimalsbeta-N-AcetylhexosaminidasesCalciumCell DegranulationHumansImmunoglobulin EIntracellular Signaling Peptides and ProteinsMicrofluidicsModels, ImmunologicalPhosphorylationProtein-Tyrosine KinasesRatsReceptors, IgESingle-Cell AnalysisSyk Kinasebeta-N-AcetylhexosaminidasesCalciumImmunoglobulin EIntracellular Signaling Peptides and ProteinsProtein-Tyrosine KinasesReceptors, IgESyk KinaseSYK protein, humanSyk protein, ratTumor Necrosis Factor-alpha

Identifiers

PMID23544131
PMCPMC3609784
OpenAlexW1995299246

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.