Evidence map›Paper›PMID 25254360›Full record

ArticleAnalytical chemistry2014

A generalizable, tunable microfluidic platform for delivering fast temporally varying chemical signals to probe single-cell response dynamics.

Loice Chingozha, Mei Zhan, Cheng Zhu, Hang Lu

Abstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Single-cell resolution of intracellular T cell CaIntegrative biology : quantitative biosciences from nano to macro · 2017
    Article
  7. Review
  8. Review
  9. Microfluidics in systems biology-hype or truly useful?Current opinion in biotechnology · 2016
    Review
  10. Article
  11. Article
  12. Review
  13. 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

4 authors.

Loice ChingozhaSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
Mei Zhan
Cheng Zhu
Hang Lu

Funding

Visualizing Single Integrin Conformational Changes on Living CellsR01AI044902 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI ZHU, CHENG · 2000 to 2016
$5.8M
Mechanical Regulation of Selectin-Ligand Binding KineticsR01AI077343 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI MCEVER, RODGER PAUL, ZHU, CHENG · 2010 to 2014
$2.5M
Spatiotemporal control of reactive oxygen species in T cellsR01AI088023 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI KEMP, MELISSA LAMBETH · 2011 to 2014
$1.4M
NIAID NIH HHS R01 AI044902NIAID NIH HHS R01 AI077343NIAID NIH HHS R01 AI088023
6 · The paper itself

Abstract

Understanding how biological systems transduce dynamic, soluble chemical cues into physiological processes requires robust experimental tools for generating diverse temporal chemical patterns. The advent of microfluidics has seen the development of platforms for rapid fluid exchange allowing ease of changes in the cellular microenvironment and precise cell handling. Rapid exchange is important for exposing systems to temporally varying signals. However, direct coupling of macroscale fluid flow with microstructures is potentially problematic due to the high shear stresses that inevitably add confounding mechanical perturbation effects to the biological system of interest. Here, we have devised a method of translating fast and precise macroscale flows to microscale flows using a monolithically integrated perforated membrane. We integrated a high-density cell trap array for nonadherent cells that are challenging to handle under flow conditions with a soluble chemical signal generator module. The platform enables fast and repeatable switching of stimulus and buffer at low shear stresses for quantitative live, single-cell fluorescent studies. This modular design allows facile integration of any cell-handling chip design with any chemical delivery module. We demonstrate the utility of this device by characterizing heterogeneity of oscillatory response for cells exposed to alternating Ca(2+) waveforms at various periodicities. This platform enables the analysis of cell responses to chemical perturbations at a single-cell resolution that is necessary in understanding signal transduction pathways.

Indexed as

Single-Cell AnalysisLab-On-A-Chip DevicesMicrofluidics

Identifiers

PMID25254360
PMCPMC4204904

What OpenQuestion holds

Textmetadata
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.