Evidence map›Paper›PMID 25405550›Full record

ArticleAnalytical chemistry2014

Acoustofluidic chemical waveform generator and switch.

Daniel Ahmed, Hari S Muddana, Mengqian Lu, Jarrod B French, Adem Ozcelik, Ye Fang, Peter J Butler, Stephen J Benkovic, Andreas Manz, Tony Jun Huang

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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Acoustofluidic methods in cell analysis.Trends in analytical chemistry : TRAC · 2019
    Article
  8. Article
  9. Article
  10. Acoustic Actuation ofJournal of micromechanics and microengineering : structures, devices, and systems · 2018
    Article
  11. Article
  12. Article
  13. Mixing high-viscosity fluids via acoustically driven bubbles.Journal of micromechanics and microengineering : structures, devices, and systems · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

10 authors.

Daniel AhmedDepartment of Engineering Science and Mechanics, ‡Biomedical Engineering, §Department of Chemistry, The Pennsylvania State University , University Park, Pennsylvania 16802, United States.
Hari S Muddana
Mengqian Lu
Jarrod B French
Adem Ozcelik
Ye Fang
Peter J Butler
Stephen J Benkovic
Andreas Manz
Tony Jun Huang

Funding

On-Chip Optofluidic Laser Scanning Confocal Microscope for Early Cancer DetectionDP2OD007209 · OD · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG, TONY JUN · 2010 to 2010
$2.2M
Standing Surface Acoustic Wave Based Cell Sorters for Maintaining Cell IntegrityR01GM112048 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG, TONY JUN · 2014 to 2017
$1.1M
Validation of acoustic tweezers for single-cell analyses of purine metabolismR33EB019785 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG, TONY JUN · 2014 to 2016
$1.1M
NIBIB NIH HHS 1R33EB019785-01NIBIB NIH HHS R33 EB019785NIGMS NIH HHS 1 R01 GM112048-01A1NIGMS NIH HHS R01 GM112048NIH HHS DP2 OD007209
6 · The paper itself

Abstract

Eliciting a cellular response to a changing chemical microenvironment is central to many biological processes including gene expression, cell migration, differentiation, apoptosis, and intercellular signaling. The nature and scope of the response is highly dependent upon the spatiotemporal characteristics of the stimulus. To date, studies that investigate this phenomenon have been limited to digital (or step) chemical stimulation with little control over the temporal counterparts. Here, we demonstrate an acoustofluidic (i.e., fusion of acoustics and microfluidics) approach for generating programmable chemical waveforms that permits continuous modulation of the signal characteristics including the amplitude (i.e., sample concentration), shape, frequency, and duty cycle, with frequencies reaching up to 30 Hz. Furthermore, we show fast switching between multiple distinct stimuli, wherein the waveform of each stimulus is independently controlled. Using our device, we characterized the frequency-dependent activation and internalization of the β2-adrenergic receptor (β2-AR), a prototypic G-protein coupled receptor (GPCR), using epinephrine. The acoustofluidic-based programmable chemical waveform generation and switching method presented herein is expected to be a powerful tool for the investigation and characterization of the kinetics and other dynamic properties of many biological and biochemical processes.

Indexed as

AcousticsMicrofluidic Analytical TechniquesCells, CulturedHEK293 CellsHumans

Identifiers

PMID25405550
PMCPMC4255676

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.