Evidence map›Paper›PMID 24831787›Full record

ReviewAssay and drug development technologies2014

Three-dimensional cell culture systems and their applications in drug discovery and cell-based biosensors.

Rasheena Edmondson, Jessica Jenkins Broglie, Audrey F Adcock, Liju Yang

Abstract readReview
In one paragraph

Review in Assay and drug development technologies, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,125 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,125citing papers in PubMed, 2 pooled it
–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

1,125 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Aporphine AlkaloidPharmaceuticals (Basel, Switzerland) · 2026
    Article
  15. New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review

1,065 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.

Rasheena EdmondsonBiomanufacturing Research Institute and Technology Enterprises (BRITE), and Department of Pharmaceutical Sciences, North Carolina Central University , Durham, North Carolina.
Jessica Jenkins Broglie
Audrey F Adcock
Liju Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) cell culture systems have gained increasing interest in drug discovery and tissue engineering due to their evident advantages in providing more physiologically relevant information and more predictive data for in vivo tests. In this review, we discuss the characteristics of 3D cell culture systems in comparison to the two-dimensional (2D) monolayer culture, focusing on cell growth conditions, cell proliferation, population, and gene and protein expression profiles. The innovations and development in 3D culture systems for drug discovery over the past 5 years are also reviewed in the article, emphasizing the cellular response to different classes of anticancer drugs, focusing particularly on similarities and differences between 3D and 2D models across the field. The progression and advancement in the application of 3D cell cultures in cell-based biosensors is another focal point of this review.

Indexed as

Biosensing TechniquesCell Culture TechniquesAnimalsCells, CulturedDrug DiscoveryHumans

Identifiers

PMID24831787
PMCPMC4026212

What OpenQuestion holds

Textmetadata
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.