» Articles » PMID: 31928927

Analysing Central Metabolism in Ultra-high Resolution: At the Crossroads of Carbon and Nitrogen

Overview
Journal Mol Metab
Specialty Cell Biology
Date 2020 Jan 14
PMID 31928927
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Cancer cell metabolism can be characterised by adaptive metabolic alterations, which support abnormal proliferative cell growth with high energetic demand. De novo nucleotide biosynthesis is essential for providing nucleotides for RNA and DNA synthesis, and drugs targeting this biosynthetic pathway have proven to be effective anticancer therapeutics. Nevertheless, cancers are often able to circumvent chemotherapeutic interventions and become therapy resistant. Our understanding of the changing metabolic profile of the cancer cell and the mode of action of therapeutics is dependent on technological advances in biochemical analysis.

Scope Of Review: This review begins with information about carbon- and nitrogen-donating pathways to build purine and pyrimidine moieties in the course of nucleotide biosynthesis. We discuss the application of stable isotope resolved metabolomics to investigate the dynamics of cancer cell metabolism and outline the benefits of high-resolution accurate mass spectrometry, which enables multiple tracer studies.

Conclusion: With the technological advances in mass spectrometry that allow for the analysis of the metabolome in high resolution, the application of stable isotope resolved metabolomics has become an important technique in the investigation of biological processes. The literature in the area of isotope labelling is dominated by C tracer studies. Metabolic pathways have to be considered as complex interconnected networks and should be investigated as such. Moving forward to simultaneous tracing of different stable isotopes will help elucidate the interplay between carbon and nitrogen flow and the dynamics of de novo nucleotide biosynthesis within the cell.

Citing Articles

A Comprehensive Evaluation of Nutritional Quality and Antioxidant Capacity of Different Chinese Eggplant Varieties Based on Multivariate Statistical Analysis.

Lyu J, Jin N, Ma X, Yin X, Jin L, Wang S Antioxidants (Basel). 2025; 14(1.

PMID: 39857344 PMC: 11761265. DOI: 10.3390/antiox14010010.


Roe deer uterine fluid metabolome reveals elevated glycolysis, fatty acid breakdown, and spermidine synthesis upon reactivation from diapause†.

Elsafadi S, Hankele A, Giesbertz P, Ulbrich S Biol Reprod. 2024; 112(1):70-85.

PMID: 39673258 PMC: 11736431. DOI: 10.1093/biolre/ioae161.


Effects of polysaccharide peptide ameliorating cyclophosphamide-induced immune dysfunctions based on metabolomics analysis.

Xie J, Lin D, Li J, Zhou T, Lin S, Lin Z Front Nutr. 2023; 10:1179749.

PMID: 37305093 PMC: 10248424. DOI: 10.3389/fnut.2023.1179749.


Identification of key pathways, genes and immune cell infiltration in hypoxia of high-altitude acclimatization meta-analysis and integrated bioinformatics analysis.

Li Q, Xu Z, Fang F, Shen Y, Lei H, Shen X Front Genet. 2023; 14:1055372.

PMID: 37035734 PMC: 10080023. DOI: 10.3389/fgene.2023.1055372.


Advancements in Pulsed Stable Isotope-Resolved Metabolomics.

Forbes M, Geisberger S, Pietzke M, Mastrobuoni G, Kempa S Handb Exp Pharmacol. 2022; 277:165-180.

PMID: 36355219 DOI: 10.1007/164_2022_621.


References
1.
Warburg O, Wind F, Negelein E . THE METABOLISM OF TUMORS IN THE BODY. J Gen Physiol. 2009; 8(6):519-30. PMC: 2140820. DOI: 10.1085/jgp.8.6.519. View

2.
WEINHOUSE S . Studies on the fate of isotopically labeled metabolites in the oxidative metabolism of tumors. Cancer Res. 1951; 11(8):585-91. View

3.
Reid M, Allen A, Liu S, Liberti M, Liu P, Liu X . Serine synthesis through PHGDH coordinates nucleotide levels by maintaining central carbon metabolism. Nat Commun. 2018; 9(1):5442. PMC: 6303315. DOI: 10.1038/s41467-018-07868-6. View

4.
Antoniewicz M, Kelleher J, Stephanopoulos G . Determination of confidence intervals of metabolic fluxes estimated from stable isotope measurements. Metab Eng. 2006; 8(4):324-37. DOI: 10.1016/j.ymben.2006.01.004. View

5.
Buescher J, Antoniewicz M, Boros L, Burgess S, Brunengraber H, Clish C . A roadmap for interpreting (13)C metabolite labeling patterns from cells. Curr Opin Biotechnol. 2015; 34:189-201. PMC: 4552607. DOI: 10.1016/j.copbio.2015.02.003. View