Literature DB >> 31365463

Should we consider subcellular compartmentalization of metabolites, and if so, how do we measure them?

Kathryn E Wellen1,2, Nathaniel W Snyder3.   

Abstract

PURPOSE OF REVIEW: To examine the consequences of metabolism compartmentalized at the subcellular level, provide prototypical examples of compartmentalized metabolism, and describe methods to examine compartmentalized metabolism. RECENT
FINDINGS: Progress in metabolomics and isotope tracing has underscored the importance of subcellular compartments of metabolism. The discovery of biological effects of metabolites as bioenergetic intermediates, anabolic building blocks, signaling mediators, and effectors in posttranslation modifications of proteins and nucleic acids have highlighted the role of compartmentalization in determining metabolic fate. Recent advances in both direct and indirect methods to quantify compartmentalized metabolism have improved upon historical approaches. Genetically encoded metabolite sensors, chemical probes, immunoaffinity purification, and compartment-resolved metabolic modeling have all been recently applied to study compartmentalization.
SUMMARY: Accurate measurement of metabolites in distinct subcellular compartments is important for understanding and pharmacologically targeting metabolic pathways in diverse disease contexts, including cancer, diabetes, heart failure, obesity, and regulation of the immune system. Direct and indirect approaches to quantify compartmentalized metabolism are advancing rapidly. Yet, major challenges remain in the generalizability, rigor, and interpretation of data from the available methods to quantify compartmentalized metabolism.

Entities:  

Year:  2019        PMID: 31365463      PMCID: PMC6824478          DOI: 10.1097/MCO.0000000000000580

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN: 1363-1950            Impact factor:   4.294


  33 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-12       Impact factor: 11.205

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Journal:  Cell Rep       Date:  2016-10-18       Impact factor: 9.423

5.  Nucleus-Translocated ACSS2 Promotes Gene Transcription for Lysosomal Biogenesis and Autophagy.

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Journal:  Mol Cell       Date:  2017-05-25       Impact factor: 17.970

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Review 7.  Metabolic interactions with cancer epigenetics.

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Review 8.  Krebs Cycle Reimagined: The Emerging Roles of Succinate and Itaconate as Signal Transducers.

Authors:  Michael P Murphy; Luke A J O'Neill
Journal:  Cell       Date:  2018-08-09       Impact factor: 41.582

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10.  Acetyl-CoA synthetase regulates histone acetylation and hippocampal memory.

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  13 in total

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Review 5.  Regulation of coenzyme A levels by degradation: the 'Ins and Outs'.

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Review 6.  CD8+ T cell metabolism in infection and cancer.

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Review 7.  Forces, fluxes, and fuels: tracking mitochondrial metabolism by integrating measurements of membrane potential, respiration, and metabolites.

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8.  Subcellular metabolic pathway kinetics are revealed by correcting for artifactual post harvest metabolism.

Authors:  Sophie Trefely; Joyce Liu; Katharina Huber; Mary T Doan; Helen Jiang; Jay Singh; Eliana von Krusenstiern; Anna Bostwick; Peining Xu; Juliane G Bogner-Strauss; Kathryn E Wellen; Nathaniel W Snyder
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10.  Quantification of lactoyl-CoA (lactyl-CoA) by liquid chromatography mass spectrometry in mammalian cells and tissues.

Authors:  Erika L Varner; Sophie Trefely; David Bartee; Eliana von Krusenstiern; Luke Izzo; Carmen Bekeova; Roddy S O'Connor; Erin L Seifert; Kathryn E Wellen; Jordan L Meier; Nathaniel W Snyder
Journal:  Open Biol       Date:  2020-09-23       Impact factor: 6.411

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