Evidence map›Paper›PMID 23161763›Full record

ArticleMacromolecular bioscience2012

In vitro 3D full-thickness skin-equivalent tissue model using silk and collagen biomaterials.

Evangelia Bellas, Miri Seiberg, Jonathan Garlick, David L Kaplan

Abstract read
In one paragraph

Article in Macromolecular bioscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Review
  2. Article
  3. Engineered Tissue Models to Decode Host-Microbiota Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Article
  5. Article
  6. 2D and 3D In Vitro Co-culture for Cancer and Bone Cell Interaction Studies.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Advances in tissue engineering and biofabrication forBioprinting (Amsterdam, Netherlands) · 2023
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

2 more citing papers are in PubMed but not listed here.

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

4 authors.

Evangelia BellasDepartment of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
Miri Seiberg
Jonathan Garlick
David L Kaplan

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
NIBIB NIH HHS P41 EB002520
6 · The paper itself

Abstract

Current approaches to skin equivalents often only include the epidermis and dermis. Here, a full-thickness skin equivalent is described including epidermis, dermis, and hypodermis, that could serve as an in vitro model for studying skin biology or as a platform for consumer product testing. The construct is easy to handle and is maintained for >14 d while expressing physiological morphologies of the epidermis and dermis, seen by keratin 10, collagens I and IV expression. The skin equivalent produces glycerol and leptin, markers of adipose metabolism. This work serves as a foundation for understanding a few necessary factors needed to develop a stable, functional model of full-thickness skin.

Indexed as

Tissue Culture TechniquesAdipose TissueAnimal Testing AlternativesCollagenDNA PrimersEnzyme-Linked Immunosorbent AssayFibroblastsGene Expression ProfilingHistological TechniquesHumansImmunohistochemistryKeratinocytesReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionSilkSkinCollagenDNA PrimersSilk

Identifiers

PMID23161763
PMCPMC3724336

What OpenQuestion holds

Textmetadata
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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.