Evidence map›Paper›PMID 20661647›Full record

ArticleBiomedical microdevices2010

A low resistance microfluidic system for the creation of stable concentration gradients in a defined 3D microenvironment.

Ovid C Amadi, Matthew L Steinhauser, Yuichi Nishi, Seok Chung, Roger D Kamm, Andrew P McMahon, Richard T Lee

Abstract read
In one paragraph

Article in Biomedical microdevices, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
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  11. Article
  12. Microfluidic 3D models of cancer.Advanced drug delivery reviews · 2014
    Review
  13. Article
  14. Article
  15. Article
  16. 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

7 authors.

Ovid C AmadiHarvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Matthew L Steinhauser
Yuichi Nishi
Seok Chung
Roger D Kamm
Andrew P McMahon
Richard T Lee

Funding

Self-Assembling Peptides for Tissue EngineeringR01EB003805 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRODZINSKY, ALAN J. · 2005 to 2009
$6.5M
Aging and Myocardial Progenitor RecruitmentR01AG032977 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI LEE, RICHARD T · 2009 to 2013
$1.9M
Molecular, Cell and Tissue Biomechanics Training GrantT32EB006348 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KAMM, ROGER D · 2006 to 2010
$1.6M
Cardiac Progenitor Cell ChemotaxisF31HL095342 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI AMADI, OVID C. · 2009 to 2013
$168k
NHLBI NIH HHS F31 HL095342NHLBI NIH HHS F31HL095342NIA NIH HHS AG032977NIA NIH HHS R01 AG032977NIBIB NIH HHS EB003805NIBIB NIH HHS R01 EB003805NIBIB NIH HHS T32 EB006348NIBIB NIH HHS T32EB006348NINDS NIH HHS R37 NS054364
6 · The paper itself

Abstract

The advent of microfluidic technology allows control and interrogation of cell behavior by defining the local microenvironment with an assortment of biochemical and biophysical stimuli. Many approaches have been developed to create gradients of soluble factors, but the complexity of such systems or their inability to create defined and controllable chemical gradients has limited their widespread implementation. Here we describe a new microfluidic device which employs a parallel arrangement of wells and channels to create stable, linear concentration gradients in a gel region between a source and a sink well. Pressure gradients between the source and sink wells are dissipated through low resistance channels in parallel with the gel channel, thus minimizing the convection of solute in this region. We demonstrate the ability of the new device to quantitate chemotactic responses in a variety of cell types, yielding a complete profile of the migratory response and representing the total number of migrating cells and the distance each cell has migrated. Additionally we show the effect of concentration gradients of the morphogen Sonic hedgehog on the specification of differentiating neural progenitors in a 3-dimensional matrix.

Indexed as

Cell MovementAnimalsBasic Helix-Loop-Helix ProteinsBecaplerminCattleCell DifferentiationChemotaxisElectric CapacitanceElectric ImpedanceEmbryoid BodiesGene Expression RegulationHedgehog ProteinsHumansJurkat CellsMicrofluidic Analytical TechniquesMuscle, Smooth, VascularBasic Helix-Loop-Helix ProteinsBecaplerminHedgehog ProteinsPlatelet-Derived Growth FactorProto-Oncogene Proteins c-sis

Identifiers

PMID20661647
PMCPMC3119200

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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.