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

Cell Stem Cell. 2022 Nov 3;29(11):1580-1593.e7. doi: 10.1016/j.stem.2022.10.008.

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.

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

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cell Differentiation
  • Energy Metabolism
  • Humans
  • Induced Pluripotent Stem Cells* / metabolism
  • Kidney / metabolism
  • Metabolomics