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The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation via a Comparative Omics Approach

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 transcri...

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Autores principales: Wang, Qizheng, Xiong, Yucui, Zhang, Sheng, Sui, Yufei, Yu, Cunlai, Liu, Peng, Li, Heying, Guo, Wenjing, Gao, Yubo, Przepiorski, Aneta, Davidson, Alan J., Guo, Meijin, Zhang, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902935/
https://www.ncbi.nlm.nih.gov/pubmed/33643392
http://dx.doi.org/10.3389/fgene.2021.632810
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author Wang, Qizheng
Xiong, Yucui
Zhang, Sheng
Sui, Yufei
Yu, Cunlai
Liu, Peng
Li, Heying
Guo, Wenjing
Gao, Yubo
Przepiorski, Aneta
Davidson, Alan J.
Guo, Meijin
Zhang, Xiao
author_facet Wang, Qizheng
Xiong, Yucui
Zhang, Sheng
Sui, Yufei
Yu, Cunlai
Liu, Peng
Li, Heying
Guo, Wenjing
Gao, Yubo
Przepiorski, Aneta
Davidson, Alan J.
Guo, Meijin
Zhang, Xiao
author_sort Wang, Qizheng
collection PubMed
description 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.
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spelling pubmed-79029352021-02-25 The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation via a Comparative Omics Approach Wang, Qizheng Xiong, Yucui Zhang, Sheng Sui, Yufei Yu, Cunlai Liu, Peng Li, Heying Guo, Wenjing Gao, Yubo Przepiorski, Aneta Davidson, Alan J. Guo, Meijin Zhang, Xiao Front Genet Genetics 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. Frontiers Media S.A. 2021-02-10 /pmc/articles/PMC7902935/ /pubmed/33643392 http://dx.doi.org/10.3389/fgene.2021.632810 Text en Copyright © 2021 Wang, Xiong, Zhang, Sui, Yu, Liu, Li, Guo, Gao, Przepiorski, Davidson, Guo and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Wang, Qizheng
Xiong, Yucui
Zhang, Sheng
Sui, Yufei
Yu, Cunlai
Liu, Peng
Li, Heying
Guo, Wenjing
Gao, Yubo
Przepiorski, Aneta
Davidson, Alan J.
Guo, Meijin
Zhang, Xiao
The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation via a Comparative Omics Approach
title The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation via a Comparative Omics Approach
title_full The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation via a Comparative Omics Approach
title_fullStr The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation via a Comparative Omics Approach
title_full_unstemmed The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation via a Comparative Omics Approach
title_short The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid Differentiation via a Comparative Omics Approach
title_sort dynamics of metabolic characterization in ipsc-derived kidney organoid differentiation via a comparative omics approach
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902935/
https://www.ncbi.nlm.nih.gov/pubmed/33643392
http://dx.doi.org/10.3389/fgene.2021.632810
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