Evidence map›Paper›PMID 29879551›Full record

ArticleActa biomaterialia2018

Accelerated neural differentiation of mouse embryonic stem cells on aligned GYIGSR-functionalized nanofibers.

Elena A Silantyeva, Wafaa Nasir, Jacqueline Carpenter, Olivia Manahan, Matthew L Becker, Rebecca K Willits

Open access · greenAbstract read
In one paragraph

Article in Acta biomaterialia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Polymeric Fibers as Scaffolds for Spinal Cord Injury: A Systematic Review.Frontiers in bioengineering and biotechnology · 2021
    Review
  12. Maneuvering the Migration and Differentiation of Stem Cells with Electrospun Nanofibers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Review
  13. Article
  14. On the Interaction between 1D Materials and Living Cells.Journal of functional biomaterials · 2020
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Engineered materials for organoid systems.Nature reviews. Materials · 2019
    Article
  20. 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

6 authors at 1 institution in 1 country.

Elena A SilantyevaDepartment of Polymer Science, The University of Akron, Akron, OH 44325, United States.
Wafaa NasirBiomedical Engineering, The University of Akron, Akron, OH 44325, United States.
Jacqueline CarpenterBiomedical Engineering, The University of Akron, Akron, OH 44325, United States.
Olivia ManahanDepartment of Polymer Science, The University of Akron, Akron, OH 44325, United States.
Matthew L BeckerDepartment of Polymer Science, The University of Akron, Akron, OH 44325, United States; Biomedical Engineering, The University of Akron, Akron, OH 44325, United States. Electronic address: becker@uakron.edu.
Rebecca K WillitsBiomedical Engineering, The University of Akron, Akron, OH 44325, United States.
University of Akron · US

Funding

Toward Xeno-free Stem Cell Culture: Nanofiber-directed Differentiation of mESC to NeuronsR15GM113155 · NIGMS · UNIVERSITY OF AKRON · PI BECKER, MATTHEW L, WILLITS, REBECCA K · 2015 to 2015
$373k
NIGMS NIH HHS R15 GM113155
6 · The paper itself

Abstract

Substrates for embryonic stem cell culture are typified by poorly defined xenogenic, whole proteins or cellular components that are difficult and expensive to generate, characterize, and recapitulate. Herein, the generation of well-defined scaffolds of Gly-Tyr-Ile-Gly-Ser-Arg (GYIGSR) peptide-functionalized poly(ε-caprolactone) (PCL) aligned nanofibers are used to accelerate the neural lineage commitment and differentiation of D3 mouse embryonic stem cells (mESCs). Gene expression trends and immunocytochemistry analysis were similar to laminin-coated glass, and indicated an earlier differentiation progression than D3 mESCs on laminin. Further, GYIGSR-functionalized nanofiber substrates yielded an increased gene expression of Sox1, a neural progenitor cell marker, and Tubb3, Cdh2, Syp, neuronal cell markers, at early time points. In addition, guidance of neurites was found to parallel the fiber direction. We demonstrate the fabrication of a well-defined, xeno-free functional nanofiber scaffold and demonstrates its use as a surrogate for xenogenic and complex matrixes currently used for the neural differentiation of stem cells ex vivo. STATEMENT OF SIGNIFICANCE: In this paper, we report the use of GYIGSR-functionalized poly(ε-caprolactone) aligned nanofibers as a tool to accelerate the neural lineage commitment and differentiation of D3 mouse embryonic stem cells. The results indicate that functional nanofiber substrates promote faster differentiation than laminin coated substrates. The data suggest that aligned nanofibers and post-electrospinning surface modification with bioactive species can be combined to produce translationally relevant xeno-free substrates for stem cell therapy. Future development efforts are focused on additional bioactive species that are able to function as surrogates for other xenogenic factors found in differentiation media.

Indexed as

Cell DifferentiationAnimalsAntigens, DifferentiationCell LineGene Expression RegulationHumansMiceMouse Embryonic Stem CellsNanofibersNeuronsPeptidesTissue ScaffoldsAntigens, DifferentiationPeptidesDifferentiationEmbryonic stem cellNanofiberNeuralYIGSR

Identifiers

PMID29879551
PMCPMC6774047
OpenAlexW2805787491

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.