Evidence map›Paper›PMID 33643392›Full record

ArticleFrontiers in genetics2021

The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation

Qizheng Wang, Yucui Xiong, Sheng Zhang, Yufei Sui, Cunlai Yu, Peng Liu, Heying Li, Wenjing Guo, Yubo Gao, Aneta Przepiorski and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Using Brain Organoids to Explore Human Neurobiology.Cellular and molecular neurobiology · 2026
    Review
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  3. Article
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. SLC2A9 rs16890979 reduces uric acid absorption by kidney organoids.Frontiers in cell and developmental biology · 2023
    Article
  12. Article
  13. Article
  14. Physiology assays in human kidney organoids.American journal of physiology. Renal physiology · 2022
    Review
  15. Everything You Always Wanted to Know About Organoid-Based Models (and Never Dared to Ask).Cellular and molecular gastroenterology and hepatology · 2022
    Review
  16. Article
  17. 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

13 authors at 6 institutions in 2 countries.

Qizheng WangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
Yucui XiongCAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Sheng ZhangCAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Yufei SuiCAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Cunlai YuBioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.
Peng LiuCAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Heying LiCAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Wenjing GuoCAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Yubo GaoDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Aneta PrzepiorskiDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.
Alan J DavidsonDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.
Meijin GuoState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
Xiao ZhangCAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CNGuangzhou Regenerative Medicine and Health Guangdong Laboratory · CNEast China University of Science and Technology · CNGuangzhou Institutes of Biomedicine and Health · CNUniversity of Auckland · NZSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of differentiating human induced pluripotent stem cells (hiPSCs) in mini-tissue organoids provides an invaluable resource for regenerative medicine applications, particularly in the field of disease modeling. However, most studies using a kidney organoid model, focused solely on the transcriptomics and did not explore mechanisms of regulating kidney organoids related to metabolic effects and maturational phenotype. Here, we applied metabolomics coupled with transcriptomics to investigate the metabolic dynamics and function during kidney organoid differentiation. Not only did we validate the dominant metabolic alteration from glycolysis to oxidative phosphorylation in the iPSC differentiation process but we also showed that glycine, serine, and threonine metabolism had a regulatory role during kidney organoid formation and lineage maturation. Notably, serine had a role in regulating S-adenosylmethionine (SAM) to facilitate kidney organoid formation by altering DNA methylation. Our data revealed that analysis of metabolic characterization broadens our ability to understand phenotype regulation. The utilization of this comparative omics approach, in studying kidney organoid formation, can aid in deciphering unique knowledge about the biological and physiological processes involved in organoid-based disease modeling or drug screening.

Indexed as

induced pluripotent stem cellskidney organoidsmetabolomicsserine metabolismtranscriptomics

Identifiers

PMID33643392
PMCPMC7902935
OpenAlexW3128638560

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.