Evidence map›Paper›PMID 34326483›Full record

ReviewThe Journal of antibiotics2021

Phenotypic screening system using three-dimensional (3D) culture models for natural product screening.

Hikaru Suenaga, Noritaka Kagaya, Manabu Kawada, Daisuke Tatsuda, Toshiro Sato, Kazuo Shin-Ya

Abstract readReview
PubMed Publisher
In one paragraph

Review in The Journal of antibiotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. [Progress on three-dimensional cell culture technology and their application].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Review
  4. Review
  5. 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.

Hikaru SuenagaNational Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan.ORCID http://orcid.org/0000-0003-2218-9273
Noritaka KagayaTechnology Research Association for Next Generation Natural Products Chemistry, Tokyo, Japan.
Manabu KawadaInstitute of Microbial Chemistry (BIKAKEN), Numazu, Microbial Chemistry Research Foundation, Shizuoka, Japan.ORCID http://orcid.org/0000-0001-9348-4240
Daisuke TatsudaInstitute of Microbial Chemistry (BIKAKEN), Microbial Chemistry Research Foundation, Tokyo, Japan.
Toshiro SatoDepartment of Organoid Medicine, Keio University School of Medicine, Tokyo, Japan.
Kazuo Shin-YaNational Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan. k-shinya@aist.go.jp.ORCID http://orcid.org/0000-0002-4702-0661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent progress in three-dimensional (3D) cell culture systems has attracted much attention in the fields of basic life science and drug development. Newly established methods include 3D co-culture, spheroid culture, and organoid culture; these methods enable more human tissue-like culture and have largely replaced traditional two-dimensional (2D) monolayer culture. By combining 3D culture methods with high-content imaging analysis, it is possible to obtain diverse and convincing data even during initial screening (which requires rapid and easy operating procedures). Until recently, 3D culture methods were considered expensive, time-consuming, complex, and unstable. However, by exploiting the self-assembling nature of cells and adding several technical improvements, we have developed several phenotypic screenings aimed at discovering anticancer compounds.

Indexed as

AnimalsBiological ProductsCell Culture TechniquesCell LineCoculture TechniquesHumansOrganoidsSpheroids, CellularBiological Products

Identifiers

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.