Evidence map›Paper›PMID 34301945›Full record

ArticleNature communications2021

Development of a quantitative prediction algorithm for target organ-specific similarity of human pluripotent stem cell-derived organoids and cells.

Mi-Ok Lee, Su-Gi Lee, Cho-Rok Jung, Ye Seul Son, Jae-Woon Ryu, Kwang Bo Jung, Jun-Ho Ahn, Jung-Hwa Oh, Hyang-Ae Lee, Jung Hwa Lim and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Tumor Organoid as a Drug Screening Platform for Cancer Research.Current stem cell research & therapy · 2024
    Review
  8. Review
  9. Article
  10. 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

19 authors.

Mi-Ok Lee *Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Su-Gi Lee *Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Cho-Rok Jung *Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Ye Seul Son *Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Jae-Woon RyuKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Kwang Bo JungKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Jun-Ho AhnKorea Institute of Toxicology (KIT), Daejeon, Republic of Korea.
Jung-Hwa OhKorea Institute of Toxicology (KIT), Daejeon, Republic of Korea.ORCID 0000-0003-4729-9153
Hyang-Ae LeeKorea Institute of Toxicology (KIT), Daejeon, Republic of Korea.ORCID 0000-0002-0036-4555
Jung Hwa LimKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Janghwan KimKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.ORCID 0000-0003-3227-958X
Insu JangKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Jinhyuk ChoiKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Jaeeun JungKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Kunhyang ParkKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Byungwook LeeKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Dae-Soo KimKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea. kds2465@kribb.re.kr.ORCID 0000-0002-4999-1613
Mi-Young SonKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea. myson@kribb.re.kr.ORCID 0000-0001-7590-8812
Hyun-Soo ChoKorea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea. chohs@kribb.re.kr.ORCID 0000-0002-8242-9390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pluripotent stem cell (hPSC)-derived organoids and cells have similar characteristics to human organs and tissues. Thus, in vitro human organoids and cells serve as a superior alternative to conventional cell lines and animal models in drug development and regenerative medicine. For a simple and reproducible analysis of the quality of organoids and cells to compensate for the shortcomings of existing experimental validation studies, a quantitative evaluation method should be developed. Here, using the GTEx database, we construct a quantitative calculation system to assess similarity to the human organs. To evaluate our system, we generate hPSC-derived organoids and cells, and detected organ similarity. To facilitate the access of our system by researchers, we develop a web-based user interface presenting similarity to the appropriate organs as percentages. Thus, this program could provide valuable information for the generation of high-quality organoids and cells and a strategy to guide proper lineage-oriented differentiation.

Indexed as

AlgorithmsCell Culture TechniquesCell DifferentiationCell LineGene Expression ProfilingHumansOrganoidsOrgan SpecificityPluripotent Stem CellsReverse Transcriptase Polymerase Chain ReactionRNA-SeqTranscriptome

Identifiers

PMID34301945
PMCPMC8302568

What OpenQuestion holds

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LicenceCC BY
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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.