Metabolomics in Regenerative Medicine

Metabolomics comprehensively characterizes small polar and lipid metabolites, yielding a snapshot of cellular processes and biochemical reactions that are dependent on the physiological (or pathological) state of cells, tissues, and organs. Therefore, metabolomics is a valuable tool for the understanding of stem cell fate, physiology, and mechanisms in the context of regenerative medicine and stem cell bioprocessing. Moreover, metabolomics can be applied to study the distinctions in the metabolic profile of different classes of stem cells, including the development stages i.e., proliferation, differentiation, etc. These applications can provide insights on disease mechanisms and novel biological pathways, thus, helping to unleash the full translational potential of stem cells.

Metabolomics brings us closer to the phenotype of an individual, providing a direct readout of metabolic changes that regulate stem cell function.

HMT’s metabolomics

HMT’s metabolome analysis employs CE-MS & LC-MS platforms. Our technologies are optimized to capture signaling metabolites, polyamines, energy metabolism in many types of samples, including blood, tissues, organoids and cultured cells.

Quantitation Quantitation
Over 100 polar metabolites, many of which are involved in cell regeneration are quantifiable with single- or multi-point calibration.
High resolution High resolution
Good separation of structural isomers, e.g. isobaric fatty acids, oxidative products.
hmt's metabolism_regenerative_medicine

Examples of samples that can be analyzed at HMT

Cultured cells

  • distinguish metabolite profiles of different classes of stem cells
  • understand the regulatory mechanisms that control differentiation, etc.
Culture medium, supernatant

  • optimize culture conditions
  • examine metabolic changes associated with cell proliferation & differentiation
Serum, plasma, biofluids

  • evaluate the detectability and fluctuations of metabolite markers
  • discover biomarkers associated with toxins and rejection of tissue grafts

  • monitor the quality of organoid differentiation & maturation
  • identify time-dependent metabolic changes in organoids
Tissues from target organs

  • assess current therapies, e.g. organogenesis during bone marrow transplantation
  • compare metabolic profiles pre- and post-differentiation

Recent publications on metabolomics in regenerative medicine with HMT

1. Tryptophan metabolism regulates proliferative capacity of human pluripotent stem cells.
Someya et al. iScience. 2021. 24(2):102090
2. Metabolomic profiles in adipocytes differentiated from adipose-derived stem cells following exercise training or high-fat diet.
Osawa et al. Int J Mol Sci. 2021. 22(2):966
3. Elucidation of the effects of a current X-SCID therapy on intestinal lymphoid organogenesis using an in vivo animal model.
Nochi et al. Cell Mol Gastroenterol Hepatol. 2020. 10(1):83-100
4. Changes in acetyl-CoA mediate Sik3-induced maturation of chondrocytes in endochondral bone formation.
Kosai et al. Biochem Biophys Res Commun. 2019. 516(4):1097-1102
5. Glycine decarboxylase regulates the maintenance and induction of pluripotency via metabolic control.
Kang et al. Metab Eng. 2019. 53:35-47
6. Evaluation of the effects of ascorbic acid on metabolism of human mesenchymal stem cells.
Fujisawa et al. Stem Cell Res Ther. 2018. 9(1):93
7. Regnase-1 controls colon epithelial regeneration via regulation of mTOR and purine metabolism.
Nagahama et al. Proc Natl Acad Sci U S A. 2018. 115(43):11036-11041
8. Reactivation of hyperglycemia-induced hypocretin (HCRT) gene silencing by N-acetyl-d-mannosamine in the orexin neurons derived from human iPS cells.
Hayakawa et al. Epigenetics. 2017. 12(9):764-778
9. Nutritional modulation of mouse and human liver bud growth through a branched-chain amino acid metabolism.
Koike et al. Development. 2017 Mar 15;144(6):1018-1024
10. Metabolomic profiling of Pompe disease-induced pluripotent stem cell-derived cardiomyocytes reveals that oxidative stress is associated with cardiac and skeletal muscle pathology.
Sato et al. Stem Cells Transl Med. 2017. 6(1):31-39
11. Image-based cell quality evaluation to detect irregularities under same culture process of human induced pluripotent stem cells.
Nagasaka et al. J Biosci Bioeng. 2017. 123(5):642-650
12. Metabolome profiling of partial and fully reprogrammed induced pluripotent stem cells.
Park et al. Stem Cells Dev. 2017. 26(10):734-742


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