Evidence map›Paper›PMID 38129682›Full record

ArticleScientific reports2023

Efficient and reproducible generation of human induced pluripotent stem cell-derived expandable liver organoids for disease modeling.

Seon Ju Mun, Yeon-Hwa Hong, Yongbo Shin, Jaeseo Lee, Hyun-Soo Cho, Dae-Soo Kim, Kyung-Sook Chung, Myung Jin Son

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
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

21 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  3. Biobanked Liver Organoids: A Roadmap for Precision Hepatology.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
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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

8 authors at 2 institutions in 1 country.

Seon Ju MunStem Cell Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea.
Yeon-Hwa Hong *Stem Cell Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea.
Yongbo Shin *Stem Cell Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea.
Jaeseo LeeStem Cell Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea.
Hyun-Soo ChoStem Cell Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea.
Dae-Soo KimDepartment of Bioinformatics, UST, 217 Gajungro, Yuseong-Gu, Daejeon, 34113, Republic of Korea.
Kyung-Sook ChungStem Cell Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea. kschung@kribb.re.kr.
Myung Jin SonStem Cell Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea. mjson@kribb.re.kr.
Korea Research Institute of Bioscience and Biotechnology · KRKorea University of Science and Technology · KR

Funding

Korea Research Institute of Bioscience and Biotechnology KGM4722331Korea Research Institute of Bioscience and Biotechnology KGM5362313Ministry of Food and Drug Safety 22213MFDS386Ministry of Trade, Industry and Energy 20009774National Research Foundation of Korea NRF- 2022R1A2B5B02001644
6 · The paper itself

Abstract

Genetic liver disease modeling is difficult because it is challenging to access patient tissue samples and to develop practical and relevant model systems. Previously, we developed novel proliferative and functional liver organoids from pluripotent stem cells; however, the protocol requires improvement for standardization and reproducible mass production. Here, we improved the method such that it is suitable for scalable expansion and relatively homogenous production, resulting in an efficient and reproducible process. Moreover, three medium components critical for long-term expansion were defined. Detailed transcriptome analysis revealed that fibroblast growth factor signaling, the essential pathway for hepatocyte proliferation during liver regeneration, was mainly enriched in proliferative liver organoids. Short hairpin RNA-mediated knockdown of FGFR4 impaired the generation and proliferation of organoids. Finally, glycogen storage disease type Ia (GSD1a) patient-specific liver organoids were efficiently and reproducibly generated using the new protocol. They well maintained disease-specific phenotypes such as higher lipid and glycogen accumulation in the liver organoids and lactate secretion into the medium consistent with the main pathologic characteristics of patients with GSD1a. Therefore, our newly established liver organoid platform can provide scalable and practical personalized disease models and help to find new therapies for incurable liver diseases including genetic liver diseases.

Indexed as

Induced Pluripotent Stem CellsLiver DiseasesCell DifferentiationGlycogen Storage Disease Type IHumansLiverOrganoids

Identifiers

PMID38129682
PMCPMC10739970
OpenAlexW4390079775

What Socratic 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 Socratic graph.