Evidence map›Paper›PMID 26619365›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2016

Simultaneous or Sequential Orthogonal Gradient Formation in a 3D Cell Culture Microfluidic Platform.

Sebastien G M Uzel, Ovid C Amadi, Taylor M Pearl, Richard T Lee, Peter T C So, Roger D Kamm

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2016. 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
4.9field-weighted citation impact, top 5% of its field
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, 95 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Sebastien G M UzelDepartment of Mechanical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA.
Ovid C AmadiHarvard-MIT Health Sciences and Technology, Cambridge, MA, 02139, USA.
Taylor M PearlDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA.
Richard T LeeDepartment of Stem Cell and Regenerative Biology, Harvard University and Brigham and Women's Hospital, Cambridge, MA, 02138, USA.
Peter T C SoDepartment of Mechanical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA.
Roger D KammDepartment of Mechanical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, 02139, USA.
Massachusetts Institute of Technology · USHarvard University · US

Funding

Modeling bi-directional signaling and cytoskeletal dynamics in 3D cell migrationsU01CA177799 · NCI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GERTLER, FRANK B, KAMM, ROGER D · 2013 to 2017
$3.0M
NCI NIH HHS U01 CA177799
6 · The paper itself

Abstract

Biochemical gradients are ubiquitous in biology. At the tissue level, they dictate differentiation patterning or cell migration. Recapitulating in vitro the complexity of such concentration profiles with great spatial and dynamic control is crucial in order to understand the underlying mechanisms of biological phenomena. Here, a microfluidic design capable of generating diffusion-driven, simultaneous or sequential, orthogonal linear concentration gradients in a 3D cell-embedded scaffold is described. Formation and stability of the orthogonal gradients are demonstrated by computational and fluorescent dextran-based characterizations. Then, system utility is explored in two biological systems. First, stem cells are subjected to orthogonal gradients of morphogens in order to mimic the localized differentiation of motor neurons in the neural tube. Similarly to in vivo, motor neurons preferentially differentiate in regions of high concentration of retinoic acid and smoothened agonist (acting as sonic hedgehog), in a concentration-dependent fashion. Then, a rotating gradient is applied to HT1080 cancer cells and the change in migration direction is investigated as the cells adapt to a new chemical environment. The response time of ≈4 h is reported. These two examples demonstrate the versatility of this new design that can also prove useful in many applications including tissue engineering and drug screening.

Indexed as

AnimalsCell Culture TechniquesCell DifferentiationCell LineChemotaxisCyclohexylaminesEquipment DesignHumansHydrogel, Polyethylene Glycol DimethacrylateMiceMicrofluidic Analytical TechniquesMotor NeuronsNeural TubeThiophenesTime FactorsTretinoinCyclohexylaminesHydrogel, Polyethylene Glycol DimethacrylateSAG compoundThiophenesTretinoincancer cell migrationdynamic chemotaxismicrofluidicsorthogonal gradientsstem cell differentiation

Identifiers

PMID26619365
PMCPMC4752442
OpenAlexW2181487307

What OpenQuestion holds

Textmetadata
LicenceTDM
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.