Spatial dynamic metabolomics identifies metabolic cell fate trajectories in human kidney differentiation

Gangqi Wang, Bram Heijs, Sarantos Kostidis, Rosalie G.J. Rietjens, Ahmed Mahfouz, Susana M. Chuva de Sousa Lopes, Cathelijne W. van den Berg, Bernard M. van den Berg, Ton J. Rabelink*, More Authors

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

22 Citations (Scopus)
42 Downloads (Pure)

Abstract

Accumulating evidence demonstrates important roles for metabolism in cell fate determination. However, it is a challenge to assess metabolism at a spatial resolution that acknowledges both heterogeneity and cellular dynamics in its tissue microenvironment. Using a multi-omics platform to study cell-type-specific dynamics in metabolism in complex tissues, we describe the metabolic trajectories during nephrogenesis in the developing human kidney. Exploiting in situ analysis of isotopic labeling, a shift from glycolysis toward fatty acid β-oxidation was observed during the differentiation from the renal vesicle toward the S-shaped body and the proximal tubules. In addition, we show that hiPSC-derived kidney organoids are characterized by a metabolic immature phenotype that fails to use mitochondrial long-chain fatty acids for energy metabolism. Furthermore, supplementation of butyrate enhances tubular epithelial differentiation and maturation in cultured kidney organoids. Our findings highlight the relevance of understanding metabolic trajectories to efficiently guide stem cell differentiation.

Original languageEnglish
Pages (from-to)1580-1593.e7
JournalCell Stem Cell
Volume29
Issue number11
DOIs
Publication statusPublished - 2022

Keywords

  • cell metabolism
  • fetal kidney development
  • hiPSC-derived kidney organoids
  • MALDI-MSI
  • multi-omics metabolomics
  • nephrogenesis
  • proximal tubule development
  • single cell
  • spatial dynamic metabolomics

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