Evidence map›Paper›PMID 30778445›Full record

ArticleBiomaterials science2019

Spatiotemporal control and modeling of morphogen delivery to induce gradient patterning of stem cell differentiation using fluidic channels.

Brian O'Grady, Daniel A Balikov, Jason X Wang, Emma K Neal, Yu-Chuan Ou, Rizia Bardhan, Ethan S Lippmann, Leon M Bellan

Abstract read
In one paragraph

Article in Biomaterials science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Modeling development using hydrogels.Development (Cambridge, England) · 2023
    Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Advances in neural organoid systems and their application in neurotoxicity testing of environmental chemicals.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    Review
  8. Patterning Neuroepithelial Cell SheetACS biomaterials science & engineering · 2021
    Article
  9. Review
  10. Gradient Hydrogels.Advances in biochemical engineering/biotechnology · 2021
    Article
  11. Article
  12. BCNNM: A Framework forFrontiers in computational neuroscience · 2020
    Article
  13. 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

8 authors.

Brian O'GradyDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA. Leon.Bellan@Vanderbilt.edu.
Daniel A Balikov
Jason X Wang
Emma K Neal
Yu-Chuan Ou
Rizia Bardhan
Ethan S Lippmann
Leon M Bellan

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
3D Microvascular Networks in Hydrogels Fabricated with Sacrificial StructuresR00EB013630 · NIBIB · VANDERBILT UNIVERSITY · PI BELLAN, LEON MARCEL · 2013 to 2015
$709k
NIBIB NIH HHS R00 EB013630NICHD NIH HHS U54 HD083211NIGMS NIH HHS T32 GM007347
6 · The paper itself

Abstract

The process of cell differentiation in a developing embryo is influenced by numerous factors, including various biological molecules whose presentation varies dramatically over space and time. These morphogens regulate cell fate based on concentration profiles, thus creating discrete populations of cells and ultimately generating large, complex tissues and organs. Recently, several in vitro platforms have attempted to recapitulate the complex presentation of extrinsic signals found in nature. However, it has been a challenge to design versatile platforms that can dynamically control morphogen gradients over extended periods of time. To address some of these issues, we introduce a platform using channels patterned in hydrogels to deliver multiple morphogens to cells in a 3D scaffold, thus creating a spectrum of cell phenotypes based on the resultant morphogen gradients. The diffusion coefficient of a common small molecule morphogen, retinoic acid (RA), was measured within our hydrogel platform using Raman spectroscopy and its diffusion in our platform's geometry was modeled using finite element analysis. The predictive model of spatial gradients was validated in a cell-free hydrogel, and temporal control of morphogen gradients was then demonstrated using a reporter cell line that expresses green fluorescent protein in the presence of RA. Finally, the utility of this approach for regulating cell phenotype was demonstrated by generating opposing morphogen gradients to create a spectrum of mesenchymal stem cell differentiation states.

Indexed as

Microfluidic Analytical TechniquesModels, BiologicalMorphogenesisCell DifferentiationCells, CulturedHumansStem Cells

Identifiers

PMID30778445
PMCPMC6485939

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.