Literature DB >> 20155926

Monitoring real-time metabolism of living cells by fast two-dimensional NMR spectroscopy.

Andrea Motta1, Debora Paris, Dominique Melck.   

Abstract

Living cell metabolism is often monitored by 1D NMR spectroscopy, but the spectral resolution and the short cell lifetime are certainly limiting aspects. 2D spectroscopy does yield higher resolution but is time-consuming since acquisition of the second dimension requires several minutes. However, after only few minutes, oxygen starvation changes cell metabolism, and long acquisition times may yield spectra that do not represent the cell physiological state. Accordingly, metabolic studies of cells require fast NMR data acquisition. Here, we have applied band-selective optimized flip-angle short-transient (SOFAST)-HMQC techniques to (15)N-labeled cells, showing for the first time that it is possible to obtain 2D (1)H-(15)N correlation spectra of small metabolites directly in living cells, in a few seconds and with a high S/N ratio. SOFAST-HMQC spectra of (15)N-labeled Thalassiosira rotula diatoms cells can be acquired in 10-15 s, and, as an application, we have detected a progressive variation of the amino acid content when diatoms are exposed to UV-B radiation, with no need of long analytical procedures to quantify the metabolic changes. We believe that fast acquisition techniques can easily be extended to other cell systems, foreseeing a wide application in the emerging fields of metabolomics and metabonomics, being able to picture the "instantaneous" in-cell metabolism.

Entities:  

Mesh:

Year:  2010        PMID: 20155926     DOI: 10.1021/ac9026934

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  9 in total

1.  Dosage Effects of Salt and pH Stresses on Saccharomyces cerevisiae as Monitored via Metabolites by Using Two Dimensional NMR Spectroscopy.

Authors:  Young Kee Chae; Seol Hyun Kim; James E Ellinger; John L Markley
Journal:  Bull Korean Chem Soc       Date:  2013-12

Review 2.  Integrative biological analysis for neuropsychopharmacology.

Authors:  Mark R Emmett; Roger A Kroes; Joseph R Moskal; Charles A Conrad; Waldemar Priebe; Fernanda Laezza; Anke Meyer-Baese; Carol L Nilsson
Journal:  Neuropsychopharmacology       Date:  2013-06-26       Impact factor: 7.853

Review 3.  Emerging new strategies for successful metabolite identification in metabolomics.

Authors:  Kerem Bingol; Lei Bruschweiler-Li; Dawei Li; Bo Zhang; Mouzhe Xie; Rafael Brüschweiler
Journal:  Bioanalysis       Date:  2016-02-26       Impact factor: 2.681

4.  Tracing Metabolite Footsteps of Escherichia coli Along the Time Course of Recombinant Protein Expression by Two-Dimensional NMR Spectroscopy.

Authors:  Young Kee Chae; Seol Hyun Kim; James J Ellinger; John L Markley
Journal:  Bull Korean Chem Soc       Date:  2012-12-20

Review 5.  Profiling metabolites and peptides in single cells.

Authors:  Stanislav S Rubakhin; Elena V Romanova; Peter Nemes; Jonathan V Sweedler
Journal:  Nat Methods       Date:  2011-03-30       Impact factor: 28.547

6.  Generalized adaptive intelligent binning of multiway data.

Authors:  Bradley Worley; Robert Powers
Journal:  Chemometr Intell Lab Syst       Date:  2015-08       Impact factor: 3.491

Review 7.  Applications of Solution NMR in Drug Discovery.

Authors:  Li Shi; Naixia Zhang
Journal:  Molecules       Date:  2021-01-22       Impact factor: 4.411

Review 8.  Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies.

Authors:  Qiao Jin; Ronald Ching Wan Ma
Journal:  Cells       Date:  2021-10-21       Impact factor: 6.600

9.  NMR-Based Metabolomics.

Authors:  G A Nagana Gowda; Daniel Raftery
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.