Evidence map›Paper›PMID 19514700›Full record

ArticleAnalytical chemistry2009

Microfluidic single-cell array cytometry for the analysis of tumor apoptosis.

Donald Wlodkowic, Shannon Faley, Michele Zagnoni, John P Wikswo, Jonathan M Cooper

Abstract read
In one paragraph

Article in Analytical chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
  2. Review
  3. Genetic and phenotypic profiling of single living circulating tumor cells from patients with microfluidics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Aqueous Processed Biopolymer Interfaces for Single-Cell Microarrays.ACS biomaterials science & engineering · 2020
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Current Trends of Microfluidic Single-Cell Technologies.International journal of molecular sciences · 2018
    Review
  18. Article
  19. Review
  20. Article

3 more citing papers are in PubMed but not listed here.

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

5 authors.

Donald WlodkowicThe Bioelectronics Research Centre, Department of Electronics and Electrical Engineering, University of Glasgow, G12 8LT, United Kingdom.
Shannon Faley
Michele Zagnoni
John P Wikswo
Jonathan M Cooper

Funding

Metabolic Discrimination of Unknown Bacterial PathogensU01AI061223 · NIAID · VANDERBILT UNIVERSITY · PI WIKSWO, JOHN PETER · 2005 to 2009
$5.2M
Biotechnology and Biological Sciences Research Council BB/C511572/1Biotechnology and Biological Sciences Research Council BB/F005024/1NIAID NIH HHS U01 AI061223NIAID NIH HHS U01AI061223
6 · The paper itself

Abstract

Limitations imposed by conventional analytical technologies for cell biology, such as flow cytometry or microplate imaging, are often prohibitive for the kinetic analysis of single-cell responses to therapeutic compounds. In this paper, we describe the application of a microfluidic array to the real-time screening of anticancer drugs against arrays of single cells. The microfluidic platform comprises an array of micromechanical traps, designed to passively corral individual nonadherent cells. This platform, fabricated in the biologically compatible elastomer poly(dimethylsiloxane), PDMS, enables hydrodynamic trapping of cells in low shear stress zones, enabling time-lapse studies of nonadherent hematopoietic cells. Results indicate that these live-cell, microfluidic microarrays can be readily applied to kinetic analysis of investigational anticancer agents in hematopoietic cancer cells, providing new opportunities for automated microarray cytometry and higher-throughput screening. We also demonstrate the ability to quantify on-chip the anticancer drug induced apoptosis. Specifically, we show that with small numbers of trapped cells (approximately 300) under careful serial observation we can achieve results with only slightly greater statistical spread than can be obtained with single-pass flow cytometer measurements of 15,000-30,000 cells.

Indexed as

ApoptosisAntineoplastic AgentsCell Line, TumorFlow CytometryHL-60 CellsHumansMicrofluidicsNeoplasmsOrganic ChemicalsStaining and LabelingTissue Array AnalysisAntineoplastic AgentsOrganic ChemicalsSYTOX Green

Identifiers

PMID19514700
PMCPMC3816605

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.