Evidence map›Paper›PMID 22842841›Full record

ArticleLab on a chip2012

Droplet microfluidics for amplification-free genetic detection of single cells.

Tushar D Rane, Helena C Zec, Chris Puleo, Abraham P Lee, Tza-Huei Wang

Abstract read
In one paragraph

Article in Lab on a chip, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Emerging Analytical Techniques for Rapid Pathogen Identification and Susceptibility Testing.Annual review of analytical chemistry (Palo Alto, Calif.) · 2019
    Review
  14. Article
  15. Article
  16. Droplet microfluidics for high-sensitivity and high-throughput detection and screening of disease biomarkers.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2018
    Review
  17. Fluorogenic PNA probes.Beilstein journal of organic chemistry · 2018
    Review
  18. Article
  19. Article
  20. 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

5 authors.

Tushar D RaneDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, USA.
Helena C Zec
Chris Puleo
Abraham P Lee
Tza-Huei Wang

Funding

ValidationU54CA151838 · NCI · JOHNS HOPKINS UNIVERSITY · PI POMPER, MARTIN G · 2010 to 2014
$11.9M
Multiplexed Detection of Cell Free DNA Biomarkers for CancerR01CA155305 · NCI · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2011 to 2015
$1.7M
NCI NIH HHS R01 CA155305NCI NIH HHS R01CA155305NCI NIH HHS U54 CA151838NCI NIH HHS U54CA151838
6 · The paper itself

Abstract

In this article we present a novel droplet microfluidic chip enabling amplification-free detection of single pathogenic cells. The device streamlines multiple functionalities to carry out sample digitization, cell lysis, probe-target hybridization for subsequent fluorescent detection. A peptide nucleic acid fluorescence resonance energy transfer probe (PNA beacon) is used to detect 16S rRNA present in pathogenic cells. Initially the sensitivity and quantification abilities of the platform are tested using a synthetic target mimicking the actual expression level of 16S rRNA in single cells. The capability of the device to perform "sample-to-answer" pathogen detection of single cells is demonstrated using E. coli as a model pathogen.

Indexed as

Escherichia coliFluorescence Resonance Energy TransferMicrofluidicsNucleic Acid HybridizationPeptide Nucleic AcidsRNA, Ribosomal, 16SPeptide Nucleic AcidsRNA, Ribosomal, 16S

Identifiers

PMID22842841
PMCPMC3696383

What OpenQuestion holds

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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.