Evidence map›Paper›PMID 21809821›Full record

ArticleAnalytical chemistry2011

Imaging single-cell signaling dynamics with a deterministic high-density single-cell trap array.

Kwanghun Chung, Catherine A Rivet, Melissa L Kemp, Hang Lu

Abstract read
In one paragraph

Article in Analytical chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Facile Production of Large-Area Cell Arrays Using Surface-Assembled Microdroplets.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Microfluidic Based Optical Microscopes on Chip.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    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

4 authors.

Kwanghun ChungSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States.
Catherine A Rivet
Melissa L Kemp
Hang Lu

Funding

Quantitative microscopy-based rapid phenotyping and screeningR01GM088333 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2011 to 2018
$2.3M
Spatiotemporal control of reactive oxygen species in T cellsR01AI088023 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI KEMP, MELISSA LAMBETH · 2011 to 2014
$1.4M
Sources, transmission and effects of transcriptional noise in C. elegans agingR01AG035317 · NIA · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2009 to 2011
$837k
HIGH-THROUGHPUT HIGH-CONTENT PLATFORM FOR IMAGE-BASED SCREENSR21EB012803 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2010 to 2011
$399k
MICROFLUIDIC SYSTEM FOR HIGH-THROUGHPUT EVALUATION OF T CELL FUNCTIONALITY WITH HR21CA134299 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI KEMP, MELISSA LAMBETH, LU, HANG · 2008 to 2009
$361k
Dissecting neural circuits by microfluidic-enabled rapid microscopy & ablationR21NS058465 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2007 to 2008
$351k
NCI NIH HHS R21 CA134299NCI NIH HHS R21CA134299NIAID NIH HHS R01 AI088023NIA NIH HHS R01 AG035317NIBIB NIH HHS R21 EB012803NIGMS NIH HHS R01 GM088333NINDS NIH HHS R21 NS058465NINDS NIH HHS R21NS058465
6 · The paper itself

Abstract

Stochasticity in gene expression, protein or metabolite levels contributes to cell-cell variations, the analysis of which could lead to a better understanding of cellular processes and drug responses. Current technologies are limited in their throughput, resolution (in space, time, and tracking individual cells instead of population average) and the ability to control cellular environment. A few microfluidic tools have been developed to trap and image cells; however, in most designs available to date, there is a compromise among loading efficiency, speed, the ability to trap single cells, and density or number of trapped cells. To meet the needs of single-cell imaging studies, we developed a microfluidic platform for high-throughput capture and imaging of thousands of single cells. The optimized trapping mechanism enables 95% of the traps to be occupied with single cells, with a trap density of 860 traps/mm(2). The dense array allows up to 800 cells to be imaged simultaneously with a 4x objective and a typical camera setup. Capture occurs with low shear and 94% viability after 24 h. This platform is compatible with other upstream microfluidic components for complex cell stimulation patterns, and we show here the ability to measure heterogeneity in calcium oscillatory behavior in genetically identical cells and monitor kinetic cellular response to chemical stimuli.

Indexed as

CalciumDimethylpolysiloxanesHumansIonomycinJurkat CellsMicrofluidic Analytical TechniquesMicroscopy, ConfocalSignal TransductionbaysilonCalciumDimethylpolysiloxanesIonomycin

Identifiers

PMID21809821
PMCPMC3190639

What OpenQuestion holds

Textmetadata
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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.