Literature DB >> 33643392

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

Qizheng Wang1, Yucui Xiong2,3, Sheng Zhang2,3, Yufei Sui2, Cunlai Yu3, Peng Liu2, Heying Li2, Wenjing Guo2, Yubo Gao4, Aneta Przepiorski5, Alan J Davidson5, Meijin Guo1, Xiao Zhang2,3.   

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.
Copyright © 2021 Wang, Xiong, Zhang, Sui, Yu, Liu, Li, Guo, Gao, Przepiorski, Davidson, Guo and Zhang.

Entities:  

Keywords:  induced pluripotent stem cells; kidney organoids; metabolomics; serine metabolism; transcriptomics

Year:  2021        PMID: 33643392      PMCID: PMC7902935          DOI: 10.3389/fgene.2021.632810

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


  52 in total

1.  Identification of adult nephron progenitors capable of kidney regeneration in zebrafish.

Authors:  Cuong Q Diep; Dongdong Ma; Rahul C Deo; Teresa M Holm; Richard W Naylor; Natasha Arora; Rebecca A Wingert; Frank Bollig; Gordana Djordjevic; Benjamin Lichman; Hao Zhu; Takanori Ikenaga; Fumihito Ono; Christoph Englert; Chad A Cowan; Neil A Hukriede; Robert I Handin; Alan J Davidson
Journal:  Nature       Date:  2011-01-26       Impact factor: 49.962

Review 2.  Mitochondrial regulation in pluripotent stem cells.

Authors:  Xiuling Xu; Shunlei Duan; Fei Yi; Alejandro Ocampo; Guang-Hui Liu; Juan Carlos Izpisua Belmonte
Journal:  Cell Metab       Date:  2013-07-11       Impact factor: 27.287

3.  Induced Pluripotent Stem Cell Differentiation Enables Functional Validation of GWAS Variants in Metabolic Disease.

Authors:  Curtis R Warren; John F O'Sullivan; Max Friesen; Caroline E Becker; Xiaoling Zhang; Poching Liu; Yoshiyuki Wakabayashi; Jordan E Morningstar; Xu Shi; Jihoon Choi; Fang Xia; Derek T Peters; Mary H C Florido; Alexander M Tsankov; Eilene Duberow; Lauren Comisar; Jennifer Shay; Xin Jiang; Alexander Meissner; Kiran Musunuru; Sekar Kathiresan; Laurence Daheron; Jun Zhu; Robert E Gerszten; Rahul C Deo; Ramachandran S Vasan; Christopher J O'Donnell; Chad A Cowan
Journal:  Cell Stem Cell       Date:  2017-04-06       Impact factor: 24.633

Review 4.  Lancet Commission: Stem cells and regenerative medicine.

Authors:  Giulio Cossu; Martin Birchall; Tracey Brown; Paolo De Coppi; Emily Culme-Seymour; Sahra Gibbon; Julian Hitchcock; Chris Mason; Jonathan Montgomery; Steve Morris; Francesco Muntoni; David Napier; Nazanin Owji; Aarathi Prasad; Jeff Round; Prince Saprai; Jack Stilgoe; Adrian Thrasher; James Wilson
Journal:  Lancet       Date:  2017-10-04       Impact factor: 79.321

5.  Human Urinal Cell Reprogramming: Synthetic 3D Peptide Hydrogels Enhance Induced Pluripotent Stem Cell Population Homogeneity.

Authors:  Wei Sun; Sheng Zhang; Tiancheng Zhou; Yongli Shan; Fenglin Gao; Ying Zhang; Di Zhang; Yucui Xiong; Yuanbang Mai; Ke Fan; Alan J Davidson; Guangjin Pan; Xiao Zhang
Journal:  ACS Biomater Sci Eng       Date:  2020-10-20

6.  Generation of Human PSC-Derived Kidney Organoids with Patterned Nephron Segments and a De Novo Vascular Network.

Authors:  Jian Hui Low; Pin Li; Elaine Guo Yan Chew; Bingrui Zhou; Keiichiro Suzuki; Tian Zhang; Michelle Mulan Lian; Meng Liu; Emi Aizawa; Concepcion Rodriguez Esteban; Kylie Su Mei Yong; Qingfeng Chen; Josep M Campistol; Mingliang Fang; Chiea Chuen Khor; Jia Nee Foo; Juan Carlos Izpisua Belmonte; Yun Xia
Journal:  Cell Stem Cell       Date:  2019-07-11       Impact factor: 24.633

7.  A Machine Learning Assisted, Label-free, Non-invasive Approach for Somatic Reprogramming in Induced Pluripotent Stem Cell Colony Formation Detection and Prediction.

Authors:  Ke Fan; Sheng Zhang; Ying Zhang; Jun Lu; Mike Holcombe; Xiao Zhang
Journal:  Sci Rep       Date:  2017-10-18       Impact factor: 4.379

8.  iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data.

Authors:  Steven Xijin Ge; Eun Wo Son; Runan Yao
Journal:  BMC Bioinformatics       Date:  2018-12-19       Impact factor: 3.169

9.  Generating a non-integrating human induced pluripotent stem cell bank from urine-derived cells.

Authors:  Yanting Xue; Xiujuan Cai; Linli Wang; Baojian Liao; Hui Zhang; Yongli Shan; Qianyu Chen; Tiancheng Zhou; Xirui Li; Jundi Hou; Shubin Chen; Rongping Luo; Dajiang Qin; Duanqing Pei; Guangjin Pan
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

10.  Nephron organoids derived from human pluripotent stem cells model kidney development and injury.

Authors:  Ryuji Morizane; Albert Q Lam; Benjamin S Freedman; Seiji Kishi; M Todd Valerius; Joseph V Bonventre
Journal:  Nat Biotechnol       Date:  2015-11       Impact factor: 54.908

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  2 in total

1.  High-throughput "read-on-ski" automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids.

Authors:  Qizheng Wang; Jun Lu; Ke Fan; Yiwei Xu; Yucui Xiong; Zhiyong Sun; Man Zhai; Zhizhong Zhang; Sheng Zhang; Yan Song; Jianzhong Luo; Mingliang You; Meijin Guo; Xiao Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2022-07-15       Impact factor: 5.552

Review 2.  Physiology assays in human kidney organoids.

Authors:  Benjamin S Freedman
Journal:  Am J Physiol Renal Physiol       Date:  2022-04-04
  2 in total

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