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Updated: Jun 9, 2025

Analysis of Hematopoietic Stem Progenitor Cell Metabolism
Published on: November 9, 2019
Understanding metabolic plasticity at single cell resolution
Christina C Abbate1, Jason Hu1, John G Albeck1
1Department of Molecular and Cellular Biology, University of California, Davis, U.S.A.
Cellular metabolism is not uniform, varying within tissues and cell types due to factors like cell cycle and circadian rhythms. Detecting this metabolic heterogeneity requires advanced methods such such as single-cell metabolomics.
Area of Science:
- Biochemistry
- Cell Biology
- Metabolomics
Background:
- Cellular metabolic function exhibits significant heterogeneity, extending beyond tissue-specific differences to variations within tissues and even individual cell types.
- Understanding the sources and detection of this metabolic variation is crucial for advancing cell biology and disease research.
Purpose of the Study:
- To explore the diverse origins of cellular metabolic heterogeneity, focusing on central carbon metabolism.
- To review and compare methodologies for detecting metabolic variation at the single-cell level.
- To highlight the utility of biosensors in conjunction with metabolic perturbations for revealing cellular metabolic differences.
Main Methods:
- Review of literature on cellular metabolism and heterogeneity.
- Discussion of single-cell metabolomics and RNA-sequencing techniques.
- Focus on biosensors for AMP-activated protein kinase (AMPK) and central carbon metabolites.
Main Results:
- Cellular metabolic function varies due to multiple intrinsic and extrinsic factors, including cell cycle, circadian rhythms, and metabolic cycles.
- Single-cell metabolomics and RNA-sequencing are powerful tools for detecting metabolic heterogeneity.
- Biosensors, particularly for AMPK and key metabolites, combined with perturbations, provide direct evidence of metabolic variance.
Conclusions:
- Cellular metabolic heterogeneity is a widespread phenomenon driven by various biological rhythms and cycles.
- Advanced single-cell analytical techniques are essential for characterizing metabolic differences.
- Targeted biosensor development and application offer critical insights into cellular metabolic dynamics.
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