Literature DB >> 36008629

Advances in measuring cancer cell metabolism with subcellular resolution.

Victor Ruiz-Rodado1, Adrian Lita1, Mioara Larion2.   

Abstract

Characterizing metabolism in cancer is crucial for understanding tumor biology and for developing potential therapies. Although most metabolic investigations analyze averaged metabolite levels from all cell compartments, subcellular metabolomics can provide more detailed insight into the biochemical processes associated with the disease. Methodological limitations have historically prevented the wider application of subcellular metabolomics in cancer research. Recently, however, ways to distinguish and identify metabolic pathways within organelles have been developed, including state-of-the-art methods to monitor metabolism in situ (such as mass spectrometry-based imaging, Raman spectroscopy and fluorescence microscopy), to isolate key organelles via new approaches and to use tailored isotope-tracing strategies. Herein, we examine the advantages and limitations of these developments and look to the future of this field of research.
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

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Year:  2022        PMID: 36008629     DOI: 10.1038/s41592-022-01572-6

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   47.990


  122 in total

Review 1.  Sugar-free approaches to cancer cell killing.

Authors:  N El Mjiyad; A Caro-Maldonado; S Ramírez-Peinado; C Muñoz-Pinedo
Journal:  Oncogene       Date:  2010-10-25       Impact factor: 9.867

Review 2.  Golgi membrane dynamics and lipid metabolism.

Authors:  Vytas A Bankaitis; Rafael Garcia-Mata; Carl J Mousley
Journal:  Curr Biol       Date:  2012-05-22       Impact factor: 10.834

3.  Subcellular fractionation.

Authors:  Mariana Eça Guimarães de Araújo; Lukas Alfons Huber
Journal:  Methods Mol Biol       Date:  2007

4.  ER stress triggers apoptosis by activating BH3-only protein Bim.

Authors:  Hamsa Puthalakath; Lorraine A O'Reilly; Priscilla Gunn; Lily Lee; Priscilla N Kelly; Nicholas D Huntington; Peter D Hughes; Ewa M Michalak; Jennifer McKimm-Breschkin; Noburo Motoyama; Tomomi Gotoh; Shizuo Akira; Philippe Bouillet; Andreas Strasser
Journal:  Cell       Date:  2007-06-29       Impact factor: 41.582

5.  Amiloride inhibits macropinocytosis by lowering submembranous pH and preventing Rac1 and Cdc42 signaling.

Authors:  Mirkka Koivusalo; Christopher Welch; Hisayoshi Hayashi; Cameron C Scott; Moshe Kim; Todd Alexander; Nicolas Touret; Klaus M Hahn; Sergio Grinstein
Journal:  J Cell Biol       Date:  2010-02-15       Impact factor: 10.539

Review 6.  Targeting the lysosome in cancer.

Authors:  Shengfu Piao; Ravi K Amaravadi
Journal:  Ann N Y Acad Sci       Date:  2015-11-24       Impact factor: 5.691

Review 7.  The Emerging Hallmarks of Cancer Metabolism.

Authors:  Natalya N Pavlova; Craig B Thompson
Journal:  Cell Metab       Date:  2016-01-12       Impact factor: 27.287

8.  Brain glycogen-new perspectives on its metabolic function and regulation at the subcellular level.

Authors:  Linea F Obel; Margit S Müller; Anne B Walls; Helle M Sickmann; Lasse K Bak; Helle S Waagepetersen; Arne Schousboe
Journal:  Front Neuroenergetics       Date:  2012-03-02

Review 9.  Targeting the hallmarks of cancer with therapy-induced endoplasmic reticulum (ER) stress.

Authors:  Abhishek D Garg; Hannelore Maes; Alexander R van Vliet; Patrizia Agostinis
Journal:  Mol Cell Oncol       Date:  2014-12-01

10.  Transcriptional control of autophagy-lysosome function drives pancreatic cancer metabolism.

Authors:  Rushika M Perera; Svetlana Stoykova; Brandon N Nicolay; Kenneth N Ross; Julien Fitamant; Myriam Boukhali; Justine Lengrand; Vikram Deshpande; Martin K Selig; Cristina R Ferrone; Jeff Settleman; Gregory Stephanopoulos; Nicholas J Dyson; Roberto Zoncu; Sridhar Ramaswamy; Wilhelm Haas; Nabeel Bardeesy
Journal:  Nature       Date:  2015-07-13       Impact factor: 49.962

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