Evidence map›Paper›PMID 30214484›Full record

ReviewJournal of biological engineering2018

Engineering and monitoring cellular barrier models.

Jose Yeste, Xavi Illa, Mar Alvarez, Rosa Villa

Abstract readReview
In one paragraph

Review in Journal of biological engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Study Models forMicroorganisms · 2025
    Review
  12. Microfluidic Platform for Real-Time Impedance Profiling of Transwell-Based Barrier Models.Proceedings of IEEE Sensors. IEEE International Conference on Sensors · 2024
    Article
  13. Article
  14. Article
  15. HumanTissue barriers · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. A comprehensiveFrontiers in pharmacology · 2024
    Review
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.

Jose YesteInstitut de Microelectrònica de Barcelona, IMB-CNM (CSIC), 08193, Bellaterra, Barcelona, Spain.ORCID 0000-0001-7540-7305
Xavi Illa2CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Barcelona, Spain.
Mar AlvarezInstitut de Microelectrònica de Barcelona, IMB-CNM (CSIC), 08193, Bellaterra, Barcelona, Spain.
Rosa VillaInstitut de Microelectrònica de Barcelona, IMB-CNM (CSIC), 08193, Bellaterra, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelia and endothelia delineate tissue compartments and control their environments by regulating the passage of ions and solutes. This barrier function is essential for the development and maintenance of multicellular organisms, and its dysfunction is associated with numerous human diseases. Recent advances in biomaterials and microfabrication technologies have evolved in vitro approaches for modelling biological barriers. Current microphysiological systems have become more efficient and reliable in mimicking the cell microenvironment. Additionally, methods for the quantification of barrier permeability have long provided significant insight into their underlying mechanisms. In this review, we outline the current techniques to quantify the barrier function of engineered tissues, and we also give an overview of recent microphysiological systems of biological barriers that emulate the microenvironment and microarchitecture of native tissues.

Indexed as

Biological barriersCell barrier functionMicrophysiological systemsTransepithelial electrical properties

Identifiers

PMID30214484
PMCPMC6134550

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.