1
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Qian Y, Chen Z, Wang J, Peng M, Zhang S, Yan X, Han X, Ou X, Sun J, Li S, Chen K. H/D Exchange Coupled with 2H-labeled Stable Isotope-Assisted Metabolomics Discover Transformation Products of Contaminants of Emerging Concern. Anal Chem 2023; 95:12541-12549. [PMID: 37574906 DOI: 10.1021/acs.analchem.3c02833] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Stable isotope-assisted metabolomics (SIAM) is a powerful tool for discovering transformation products (TPs) of contaminants. Nevertheless, the high cost or lack of isotope-labeled analytes limits its application. In-house H/D (hydrogen/deuterium) exchange reactions enable direct 2H labeling to target analytes with favorable reaction conditions, providing intuitive and easy-to-handle approaches for environmentally relevant laboratories to obtain cost-effective 2H-labeled contaminants of emerging concern (CECs). We first combined the use of in-house H/D exchange and 2H-SIAM to discover potential TPs of 6PPD (N-1,3-dimethylbutyl-N'-phenyl-p-phenylenediamine), providing a new strategy for finding TPs of CECs. 6PPD-d9 was obtained by in-house H/D exchange with favorable reaction conditions, and the impurities were carefully studied. Incomplete deuteride, for instance, 6PPD-d8 in this study, constitutes a major part of the impurities. Nevertheless, it has few adverse effects on the 2H-SIAM pipeline in discovering TPs of 6PPD. The 2H-SIAM pipeline annotated 9 TPs of 6PPD, and commercial standards further confirmed the annotated 6PPDQ (2-anilino-5-(4-methylpentan-2-ylamino)cyclohexa-2,5-diene-1,4-dione) and PPPD (N-phenyl-p-phenylenediamine). Additionally, a possible new formation mechanism for 6PPDQ was proposed, highlighting the performance of the strategy. In summary, this study highlighted a new strategy for discovering the TPs of CECs and broadening the application of SIAM in environmental studies.
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Affiliation(s)
- Yiguang Qian
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P. R. China
- School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China
| | - Ziyu Chen
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P. R. China
| | - Jiahui Wang
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P. R. China
| | - Man Peng
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P. R. China
| | - Shenghua Zhang
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P. R. China
| | - Xiaoyu Yan
- Department of Chemistry, Renmin University of China, Beijing 100872, P. R. China
| | - Xiaole Han
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P. R. China
| | - Xiaohui Ou
- Ecological and Environmental Monitoring Centre, Guangxi Zhuang Autonomous Region, Nanning 530028, P. R. China
| | - Jie Sun
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P. R. China
| | - Siyue Li
- School of Environmental Ecology and Biological Engineering, Wuhan Institute of Technology, Wuhan 430205, P. R. China
| | - Ke Chen
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P. R. China
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2
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Zhang R, Chen B, Zhang H, Tu L, Luan T. Stable isotope-based metabolic flux analysis: A robust tool for revealing toxicity pathways of emerging contaminants. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2022.116909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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3
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Chen K, Xiang Y, Yan X, Li Z, Qin R, Sun J. Global Tracking of Transformation Products of Environmental Contaminants by 2H-Labeled Stable Isotope-Assisted Metabolomics. Anal Chem 2022; 94:7255-7263. [PMID: 35510918 DOI: 10.1021/acs.analchem.2c00500] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Stable isotope-assisted metabolomics (SIAM) enables global tracking of isotopic labels in nontargeted metabolomics in living organisms. However, its application in tracking transformation products (TPs, as metabolites of contaminants) of environmental contaminants is still a challenge due to limits in methodology, unmatured algorithms, and the high cost of 13C-labeled contaminants. Therefore, we developed a 2H-SIAM pipeline coupled with a highly flexible algorithm 2H-SIAM(1.0) (https://github.com/kechen1984/2H-SIAM), facilitating tracking TPs of contaminants in the environmental matrix. A detailed discussion illustrates the theory, behavior, and prospect of 2H-SIAM. We demonstrate that the proposed 2H-SIAM pipeline has unique advantages over 13C-SIAM, for example, cost-effective 2H-labeled contaminants, easy synthesis of 2H-labeled emerging contaminants, and providing more structural information. A pyrene soil degradation study further confirmed its high performance. It efficiently discarded 99% of noise signals and extracted 52 features from the nontargeted high resolution mass spectrometry (HRMS) data. Among them, 13 features were annotated as TPs of pyrene with identification confidence from Level 2a to Level 5, and 5 TPs were reported for the first time. In conclusion, the proposed 2H-SIAM pipeline is powerful in tracking potential TPs of environmental contaminants with unique advantages.
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Affiliation(s)
- Ke Chen
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P.R. China
| | - Yuhui Xiang
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P.R. China
| | - Xiaoyu Yan
- Department of Chemistry, Renmin University of China, Beijing 100872, P.R. China
| | - Zhenghui Li
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, Hubei 430074, P.R. China
| | - Rui Qin
- College of Life Sciences, South-Central Minzu University, Wuhan 430068, P.R. China
| | - Jie Sun
- Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission, College of Resources and Environmental Science, South-Central Minzu University, Wuhan 430074, P.R. China
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4
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Sake CL, Metcalf AJ, Meagher M, Paola JD, Neeves KB, Boyle NR. Isotopically nonstationary 13C metabolic flux analysis in resting and activated human platelets. Metab Eng 2022; 69:313-322. [PMID: 34954086 PMCID: PMC8905147 DOI: 10.1016/j.ymben.2021.12.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 12/06/2021] [Accepted: 12/20/2021] [Indexed: 01/03/2023]
Abstract
Platelet metabolism is linked to platelet hyper- and hypoactivity in numerous human diseases. Developing a detailed understanding of the link between metabolic shifts and platelet activation state is integral to improving human health. Here, we show the first application of isotopically nonstationary 13C metabolic flux analysis to quantitatively measure carbon fluxes in both resting and thrombin activated platelets. Metabolic flux analysis results show that resting platelets primarily metabolize glucose to lactate via glycolysis, while acetate is oxidized to fuel the tricarboxylic acid cycle. Upon activation with thrombin, a potent platelet agonist, platelets increase their uptake of glucose 3-fold. This results in an absolute increase in flux throughout central metabolism, but when compared to resting platelets they redistribute carbon dramatically. Activated platelets decrease relative flux to the oxidative pentose phosphate pathway and TCA cycle from glucose and increase relative flux to lactate. These results provide the first report of reaction-level carbon fluxes in platelets and allow us to distinguish metabolic fluxes with much higher resolution than previous studies.
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Affiliation(s)
- Cara L. Sake
- Department of Chemical and Biological Engineering, Colorado School of Mines, Golden, CO, 80401 USA
| | - Alexander J. Metcalf
- Department of Chemical and Biological Engineering, Colorado School of Mines, Golden, CO, 80401 USA
| | - Michelle Meagher
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jorge Di Paola
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Keith B. Neeves
- Department of Bioengineering, University of Colorado, Aurora, CO, 80045 USA,Hemophilia and Thrombosis Center, University of Colorado, Aurora, CO, 80045 USA,Department of Pediatrics, Section of Hematology, Oncology, and Bone Marrow Transplant University of Colorado, Aurora, CO, 80045 USA
| | - Nanette R. Boyle
- Department of Chemical and Biological Engineering, Colorado School of Mines, Golden, CO, 80401 USA,Correspondence: , 423 Alderson Hall; 1613 Illinois St.; Golden, CO 80401
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Peng KY, Barlow CK, Kammoun H, Mellett NA, Weir JM, Murphy AJ, Febbraio MA, Meikle PJ. Stable Isotopic Tracer Phospholipidomics Reveals Contributions of Key Phospholipid Biosynthetic Pathways to Low Hepatocyte Phosphatidylcholine to Phosphatidylethanolamine Ratio Induced by Free Fatty Acids. Metabolites 2021; 11:metabo11030188. [PMID: 33809964 PMCID: PMC8004269 DOI: 10.3390/metabo11030188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/18/2021] [Accepted: 03/19/2021] [Indexed: 01/01/2023] Open
Abstract
There is a strong association between hepatocyte phospholipid homeostasis and non-alcoholic fatty liver disease (NAFLD). The phosphatidylcholine to phosphatidylethanolamine ratio (PC/PE) often draws special attention as genetic and dietary disruptions to this ratio can provoke steatohepatitis and other signs of NAFLD. Here we demonstrated that excessive free fatty acid (1:2 mixture of palmitic and oleic acid) alone was able to significantly lower the phosphatidylcholine to phosphatidylethanolamine ratio, along with substantial alterations to phospholipid composition in rat hepatocytes. This involved both a decrease in hepatocyte phosphatidylcholine (less prominent) and an increase in phosphatidylethanolamine, with the latter contributing more to the lowered ratio. Stable isotopic tracer phospholipidomic analysis revealed several previously unidentified changes that were triggered by excessive free fatty acid. Importantly, the enhanced cytidine diphosphate (CDP)-ethanolamine pathway activity appeared to be driven by the increased supply of preferred fatty acid substrates. By contrast, the phosphatidylethanolamine N-methyl transferase (PEMT) pathway was restricted by low endogenous methionine and consequently low S-adenosylmethionine, which resulted in a concomitant decrease in phosphatidylcholine and accumulation of phosphatidylethanolamine. Overall, our study identified several previously unreported links in the relationship between hepatocyte free fatty acid overload, phospholipid homeostasis, and the development of NAFLD.
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Affiliation(s)
- Kang-Yu Peng
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
- Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, VIC 3010, Australia
| | - Christopher K Barlow
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
- Proteomics and Metabolomics Facility and the Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Helene Kammoun
- Hematopoiesis & Leukocyte Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (H.K.); (A.J.M.)
| | - Natalie A Mellett
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
| | - Jacquelyn M Weir
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
| | - Andrew J Murphy
- Hematopoiesis & Leukocyte Biology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (H.K.); (A.J.M.)
| | - Mark A Febbraio
- Cellular & Molecular Metabolism Laboratory, Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, VIC 3052, Australia;
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia; (K.-Y.P.); (C.K.B.); (N.A.M.); (J.M.W.)
- Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, VIC 3010, Australia
- Correspondence: ; Tel.: +61-3-8532-1770
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6
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Magnesium magnetic isotope effects in microbiology. Arch Microbiol 2021; 203:1853-1861. [PMID: 33611633 DOI: 10.1007/s00203-021-02219-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 12/15/2020] [Accepted: 02/09/2021] [Indexed: 10/22/2022]
Abstract
Two main properties of atomic nuclei-mass and nuclear magnetic moments-are origin of many biological effects. Mass-dependent isotope effects have been studied for a long time. The effect of magnetic isotopes having a magnetic moment and spin was first shown in the early twenty-first century for the magnetic isotope magnesium 25Mg on enzymatic ATP synthesis. This stimulated the search for experimental evidence and theoretical justification of magnetic nuclei influence on biological processes. This review contains the results of scientific research on the magnesium magnetic isotope effects in microbiology. Microorganisms have been found to be sensitive to the presence of nuclear magnetic moment of magnesium isotope 25Mg compared with non-magnetic 24,26Mg isotopes.
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7
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Deuterium and its impact on living organisms. Folia Microbiol (Praha) 2019; 64:673-681. [DOI: 10.1007/s12223-019-00740-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 07/15/2019] [Indexed: 12/12/2022]
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8
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Fernández-García J, Fendt SM. Assessing the Impact of the Nutrient Microenvironment on the Metabolism of Effector CD8 + T Cells. Methods Mol Biol 2019; 1862:187-216. [PMID: 30315469 DOI: 10.1007/978-1-4939-8769-6_14] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Immune cell function is tightly regulated by cellular metabolism, which in turn is strongly linked to the nutrient availability in the microenvironment surrounding the cells. This link is critical for effector CD8+ T cells which, after activation, must migrate from nutrient-rich environments into nutrient-scarce regions such as the tumor microenvironment. Assessing how nutrient availability modulates the metabolism of effector CD8+ T cells is thus key for understanding how harsh environments may impair their proliferation and effector function. Here, we describe an approach to systematically study the impact of the nutrient microenvironment on the metabolism of effector CD8+ T cells, based on performing stable 13C isotope labeling measurements on in vitro-differentiated murine effector CD8+ T cells.
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Affiliation(s)
- Juan Fernández-García
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB Center for Cancer Biology, VIB, Leuven, Belgium.,Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, Leuven Cancer Institute (LKI), KU Leuven, Leuven, Belgium
| | - Sarah-Maria Fendt
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium.
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9
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Tian JS, Liu SB, He XY, Xiang H, Chen JL, Gao Y, Zhou YZ, Qin XM. Metabolomics studies on corticosterone-induced PC12 cells: A strategy for evaluating an in vitro depression model and revealing the metabolic regulation mechanism. Neurotoxicol Teratol 2018; 69:27-38. [PMID: 30076895 DOI: 10.1016/j.ntt.2018.07.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 07/22/2018] [Accepted: 07/23/2018] [Indexed: 12/21/2022]
Abstract
There are three types of differentiated (un-, poorly- and well-differentiated) PC12 cells, which have been widely used as a model system for depression studies after the administration of corticosterone (CORT). In order to investigate the underlying metabolic profiles of CORT-induced PC12 cells and evaluate the suitable differentiated types of PC12 cells for use in depressive studies, proton nuclear magnetic resonance (1H NMR) metabolomics coupled with network analysis approaches were employed. The results showed that CORT induced metabolic alterations in PC12 cells. There were 8 and 13 common differential metabolites in intracellular and extracellular extracts, respectively, of the three types of differentiated PC12 cells in response to CORT treatment, and the perturbed metabolic pathways were involved in amino acid metabolism, glutathione metabolism, pyruvate metabolism and inositol phosphate metabolism. Eighteen protein targets of depression were identified from the five different metabolic pathways from metabolomics and network analysis among the three types of CORT-induced differentiated PC12 cells, and these proteins were all found in the pathways that were perturbed by CORT treatment of poorly-differentiated PC12 cells. These results may indicate that the metabolism of CORT-induced PC12 cells is similar to the pathogenesis of depression, and poorly-differentiated PC12 cells are the most suitable cells for depressive research among the distinct types of differentiated PC12 cells. Thus, an effective predicative strategy to evaluate the in vitro disease models could be referenced.
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Affiliation(s)
- Jun-Sheng Tian
- Modern Research Center for Traditional Chinese Medicine of Shanxi University, Taiyuan 030006, PR China.
| | - Shao-Bo Liu
- Modern Research Center for Traditional Chinese Medicine of Shanxi University, Taiyuan 030006, PR China
| | - Xiao-Yan He
- Modern Research Center for Traditional Chinese Medicine of Shanxi University, Taiyuan 030006, PR China
| | - Huan Xiang
- Departments of Physical Education of Shanxi University, Taiyuan 030006, PR China
| | - Jian-Li Chen
- Modern Research Center for Traditional Chinese Medicine of Shanxi University, Taiyuan 030006, PR China
| | - Yao Gao
- Modern Research Center for Traditional Chinese Medicine of Shanxi University, Taiyuan 030006, PR China
| | - Yu-Zhi Zhou
- Modern Research Center for Traditional Chinese Medicine of Shanxi University, Taiyuan 030006, PR China
| | - Xue-Mei Qin
- Modern Research Center for Traditional Chinese Medicine of Shanxi University, Taiyuan 030006, PR China.
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10
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Di Salvo S, Braschi E, Casalini M, Marchionni S, Adani T, Ulivi M, Orlando A, Tommasini S, Avanzinelli R, Mazza PPA, Conticelli S, Francalanci L. High-Precision In Situ 87Sr/ 86Sr Analyses through Microsampling on Solid Samples: Applications to Earth and Life Sciences. JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY 2018; 2018:1292954. [PMID: 29850369 PMCID: PMC5937520 DOI: 10.1155/2018/1292954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 02/18/2018] [Indexed: 06/08/2023]
Abstract
An analytical protocol for high-precision, in situ microscale isotopic investigations is presented here, which combines the use of a high-performing mechanical microsampling device and high-precision TIMS measurements on micro-Sr samples, allowing for excellent results both in accuracy and precision. The present paper is a detailed methodological description of the whole analytical procedure from sampling to elemental purification and Sr-isotope measurements. The method offers the potential to attain isotope data at the microscale on a wide range of solid materials with the use of minimally invasive sampling. In addition, we present three significant case studies for geological and life sciences, as examples of the various applications of microscale 87Sr/86Sr isotope ratios, concerning (i) the pre-eruptive mechanisms triggering recent eruptions at Nisyros volcano (Greece), (ii) the dynamics involved with the initial magma ascent during Eyjafjallajökull volcano's (Iceland) 2010 eruption, which are usually related to the precursory signals of the eruption, and (iii) the environmental context of a MIS 3 cave bear, Ursus spelaeus. The studied cases show the robustness of the methods, which can be also be applied in other areas, such as cultural heritage, archaeology, petrology, and forensic sciences.
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Affiliation(s)
- Sara Di Salvo
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Eleonora Braschi
- C.N.R., Istituto Geoscienze e Georisorse, U.O. di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Martina Casalini
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Sara Marchionni
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Teresa Adani
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Maurizio Ulivi
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Andrea Orlando
- C.N.R., Istituto Geoscienze e Georisorse, U.O. di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Simone Tommasini
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Riccardo Avanzinelli
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
- C.N.R., Istituto Geoscienze e Georisorse, U.O. di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Paul P. A. Mazza
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Sandro Conticelli
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
- C.N.R., Istituto Geoscienze e Georisorse, U.O. di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
| | - Lorella Francalanci
- Dipartimento di Scienze della Terra, Università degli Studi di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
- C.N.R., Istituto Geoscienze e Georisorse, U.O. di Firenze, via Giorgio La Pira 4, 50121 Firenze, Italy
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11
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Golubeva LI, Shupletsov MS, Mashko SV. Metabolic Flux Analysis using 13C Isotopes: III. Significance for Systems Biology and Metabolic Engineering. APPL BIOCHEM MICRO+ 2018. [DOI: 10.1134/s0003683817090058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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12
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Sinnaeve D, Dinclaux M, Cahoreau E, Millard P, Portais JC, Létisse F, Lippens G. Improved Isotopic Profiling by Pure Shift Heteronuclear 2D J-Resolved NMR Spectroscopy. Anal Chem 2018; 90:4025-4031. [DOI: 10.1021/acs.analchem.7b05206] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Davy Sinnaeve
- NMR and Structure Analysis Unit, Department of Organic and Macromolecular Chemistry, Ghent University, Ghent, B-9000, Belgium
| | - Mickael Dinclaux
- LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, 31077, France
| | - Edern Cahoreau
- LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, 31077, France
| | - Pierre Millard
- LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, 31077, France
| | | | - Fabien Létisse
- LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, 31077, France
| | - Guy Lippens
- LISBP, Université de Toulouse, CNRS, INRA, INSA, Toulouse, 31077, France
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13
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Zachleder V, Vítová M, Hlavová M, Moudříková Š, Mojzeš P, Heumann H, Becher JR, Bišová K. Stable isotope compounds - production, detection, and application. Biotechnol Adv 2018; 36:784-797. [PMID: 29355599 DOI: 10.1016/j.biotechadv.2018.01.010] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Revised: 01/12/2018] [Accepted: 01/15/2018] [Indexed: 12/14/2022]
Abstract
Stable isotopes are used in wide fields of application from natural tracers in biology, geology and archeology through studies of metabolic fluxes to their application as tracers in quantitative proteomics and structural biology. We review the use of stable isotopes of biogenic elements (H, C, N, O, S, Mg, Se) with the emphasis on hydrogen and its heavy isotope deuterium. We will discuss the limitations of enriching various compounds in stable isotopes when produced in living organisms. Finally, we overview methods for measuring stable isotopes, focusing on methods for detection in single cells in situ and their exploitation in modern biotechnologies.
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Affiliation(s)
- Vilém Zachleder
- Institute of Microbiology, CAS, Centre Algatech, Laboratory of Cell Cycles of Algae, CZ-379 81 Třeboň, Czech Republic
| | - Milada Vítová
- Institute of Microbiology, CAS, Centre Algatech, Laboratory of Cell Cycles of Algae, CZ-379 81 Třeboň, Czech Republic
| | - Monika Hlavová
- Institute of Microbiology, CAS, Centre Algatech, Laboratory of Cell Cycles of Algae, CZ-379 81 Třeboň, Czech Republic
| | - Šárka Moudříková
- Institute of Physics, Faculty of Mathematics and Physics, Charles University, Ke Karlovu 5, CZ-121 16 Prague 2, Czech Republic
| | - Peter Mojzeš
- Institute of Physics, Faculty of Mathematics and Physics, Charles University, Ke Karlovu 5, CZ-121 16 Prague 2, Czech Republic
| | | | | | - Kateřina Bišová
- Institute of Microbiology, CAS, Centre Algatech, Laboratory of Cell Cycles of Algae, CZ-379 81 Třeboň, Czech Republic.
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14
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Atzrodt J, Derdau V, Kerr WJ, Reid M. Deuterium- und tritiummarkierte Verbindungen: Anwendungen in den modernen Biowissenschaften. Angew Chem Int Ed Engl 2018. [DOI: 10.1002/ange.201704146] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Jens Atzrodt
- Isotope Chemistry and Metabolite Synthesis, Integrated Drug Discovery, Medicinal Chemistry; Industriepark Höchst, G876 65926 Frankfurt Deutschland
| | - Volker Derdau
- Isotope Chemistry and Metabolite Synthesis, Integrated Drug Discovery, Medicinal Chemistry; Industriepark Höchst, G876 65926 Frankfurt Deutschland
| | - William J. Kerr
- Department of Pure and Applied Chemistry, WestCHEM; University of Strathclyde; 295 Cathedral Street Glasgow Scotland G1 1XL Großbritannien
| | - Marc Reid
- Department of Pure and Applied Chemistry, WestCHEM; University of Strathclyde; 295 Cathedral Street Glasgow Scotland G1 1XL Großbritannien
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15
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Atzrodt J, Derdau V, Kerr WJ, Reid M. Deuterium- and Tritium-Labelled Compounds: Applications in the Life Sciences. Angew Chem Int Ed Engl 2018; 57:1758-1784. [PMID: 28815899 DOI: 10.1002/anie.201704146] [Citation(s) in RCA: 407] [Impact Index Per Article: 67.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 07/27/2017] [Indexed: 12/19/2022]
Abstract
Hydrogen isotopes are unique tools for identifying and understanding biological and chemical processes. Hydrogen isotope labelling allows for the traceless and direct incorporation of an additional mass or radioactive tag into an organic molecule with almost no changes in its chemical structure, physical properties, or biological activity. Using deuterium-labelled isotopologues to study the unique mass-spectrometric patterns generated from mixtures of biologically relevant molecules drastically simplifies analysis. Such methods are now providing unprecedented levels of insight in a wide and continuously growing range of applications in the life sciences and beyond. Tritium (3 H), in particular, has seen an increase in utilization, especially in pharmaceutical drug discovery. The efforts and costs associated with the synthesis of labelled compounds are more than compensated for by the enhanced molecular sensitivity during analysis and the high reliability of the data obtained. In this Review, advances in the application of hydrogen isotopes in the life sciences are described.
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Affiliation(s)
- Jens Atzrodt
- Isotope Chemistry and Metabolite Synthesis, Integrated Drug Discovery, Medicinal Chemistry, Industriepark Höchst, G876, 65926, Frankfurt, Germany
| | - Volker Derdau
- Isotope Chemistry and Metabolite Synthesis, Integrated Drug Discovery, Medicinal Chemistry, Industriepark Höchst, G876, 65926, Frankfurt, Germany
| | - William J Kerr
- Department of Pure and Applied Chemistry, WestCHEM, University of Strathclyde, 295 Cathedral Street, Glasgow, Scotland, G1 1XL, UK
| | - Marc Reid
- Department of Pure and Applied Chemistry, WestCHEM, University of Strathclyde, 295 Cathedral Street, Glasgow, Scotland, G1 1XL, UK
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16
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Hayton S, Maker GL, Mullaney I, Trengove RD. Untargeted metabolomics of neuronal cell culture: A model system for the toxicity testing of insecticide chemical exposure. J Appl Toxicol 2017; 37:1481-1492. [DOI: 10.1002/jat.3498] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 05/03/2017] [Accepted: 05/18/2017] [Indexed: 12/31/2022]
Affiliation(s)
- Sarah Hayton
- Separation Sciences and Metabolomics Laboratories; Murdoch University; Perth WA Australia
- School of Veterinary and Life Sciences; Murdoch University; Perth WA Australia
| | - Garth L. Maker
- Separation Sciences and Metabolomics Laboratories; Murdoch University; Perth WA Australia
- School of Veterinary and Life Sciences; Murdoch University; Perth WA Australia
| | - Ian Mullaney
- School of Veterinary and Life Sciences; Murdoch University; Perth WA Australia
| | - Robert D. Trengove
- Separation Sciences and Metabolomics Laboratories; Murdoch University; Perth WA Australia
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17
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Garland J. Unravelling the complexity of signalling networks in cancer: A review of the increasing role for computational modelling. Crit Rev Oncol Hematol 2017; 117:73-113. [PMID: 28807238 DOI: 10.1016/j.critrevonc.2017.06.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Revised: 06/01/2017] [Accepted: 06/08/2017] [Indexed: 02/06/2023] Open
Abstract
Cancer induction is a highly complex process involving hundreds of different inducers but whose eventual outcome is the same. Clearly, it is essential to understand how signalling pathways and networks generated by these inducers interact to regulate cell behaviour and create the cancer phenotype. While enormous strides have been made in identifying key networking profiles, the amount of data generated far exceeds our ability to understand how it all "fits together". The number of potential interactions is astronomically large and requires novel approaches and extreme computation methods to dissect them out. However, such methodologies have high intrinsic mathematical and conceptual content which is difficult to follow. This review explains how computation modelling is progressively finding solutions and also revealing unexpected and unpredictable nano-scale molecular behaviours extremely relevant to how signalling and networking are coherently integrated. It is divided into linked sections illustrated by numerous figures from the literature describing different approaches and offering visual portrayals of networking and major conceptual advances in the field. First, the problem of signalling complexity and data collection is illustrated for only a small selection of known oncogenes. Next, new concepts from biophysics, molecular behaviours, kinetics, organisation at the nano level and predictive models are presented. These areas include: visual representations of networking, Energy Landscapes and energy transfer/dissemination (entropy); diffusion, percolation; molecular crowding; protein allostery; quinary structure and fractal distributions; energy management, metabolism and re-examination of the Warburg effect. The importance of unravelling complex network interactions is then illustrated for some widely-used drugs in cancer therapy whose interactions are very extensive. Finally, use of computational modelling to develop micro- and nano- functional models ("bottom-up" research) is highlighted. The review concludes that computational modelling is an essential part of cancer research and is vital to understanding network formation and molecular behaviours that are associated with it. Its role is increasingly essential because it is unravelling the huge complexity of cancer induction otherwise unattainable by any other approach.
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Affiliation(s)
- John Garland
- Manchester Interdisciplinary Biocentre, Manchester University, Manchester, UK.
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18
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Kapoore RV, Vaidyanathan S. Towards quantitative mass spectrometry-based metabolomics in microbial and mammalian systems. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2016; 374:rsta.2015.0363. [PMID: 27644979 PMCID: PMC5031630 DOI: 10.1098/rsta.2015.0363] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/27/2016] [Indexed: 05/03/2023]
Abstract
Metabolome analyses are a suite of analytical approaches that enable us to capture changes in the metabolome (small molecular weight components, typically less than 1500 Da) in biological systems. Mass spectrometry (MS) has been widely used for this purpose. The key challenge here is to be able to capture changes in a reproducible and reliant manner that is representative of the events that take place in vivo Typically, the analysis is carried out in vitro, by isolating the system and extracting the metabolome. MS-based approaches enable us to capture metabolomic changes with high sensitivity and resolution. When developing the technique for different biological systems, there are similarities in challenges and differences that are specific to the system under investigation. Here, we review some of the challenges in capturing quantitative changes in the metabolome with MS based approaches, primarily in microbial and mammalian systems.This article is part of the themed issue 'Quantitative mass spectrometry'.
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Affiliation(s)
- Rahul Vijay Kapoore
- Advanced Biomanufacturing Centre, ChELSI Institute, Department of Chemical and Biological Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
| | - Seetharaman Vaidyanathan
- Advanced Biomanufacturing Centre, ChELSI Institute, Department of Chemical and Biological Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
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19
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Guma M, Tiziani S, Firestein GS. Metabolomics in rheumatic diseases: desperately seeking biomarkers. Nat Rev Rheumatol 2016; 12:269-81. [PMID: 26935283 PMCID: PMC4963238 DOI: 10.1038/nrrheum.2016.1] [Citation(s) in RCA: 114] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Metabolomics enables the profiling of large numbers of small molecules in cells, tissues and biological fluids. These molecules, which include amino acids, carbohydrates, lipids, nucleotides and their metabolites, can be detected quantitatively. Metabolomic methods, often focused on the information-rich analytical techniques of NMR spectroscopy and mass spectrometry, have potential for early diagnosis, monitoring therapy and defining disease pathogenesis in many therapeutic areas, including rheumatic diseases. By performing global metabolite profiling, also known as untargeted metabolomics, new discoveries linking cellular pathways to biological mechanisms are being revealed and are shaping our understanding of cell biology, physiology and medicine. These pathways can potentially be targeted to diagnose and treat patients with immune-mediated diseases.
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Affiliation(s)
- Monica Guma
- Division of Rheumatology, Allergy and Immunology, University of California San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093-0656, USA
| | - Stefano Tiziani
- Department of Nutritional Sciences, University of Texas at Austin, 1400 Barbara Jordan Boulevard, Austin, Texas 78723, USA
| | - Gary S Firestein
- Division of Rheumatology, Allergy and Immunology, University of California San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093-0656, USA
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20
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Fan TWM, Lane AN. Applications of NMR spectroscopy to systems biochemistry. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2016; 92-93:18-53. [PMID: 26952191 PMCID: PMC4850081 DOI: 10.1016/j.pnmrs.2016.01.005] [Citation(s) in RCA: 123] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 01/26/2016] [Accepted: 01/28/2016] [Indexed: 05/05/2023]
Abstract
The past decades of advancements in NMR have made it a very powerful tool for metabolic research. Despite its limitations in sensitivity relative to mass spectrometric techniques, NMR has a number of unparalleled advantages for metabolic studies, most notably the rigor and versatility in structure elucidation, isotope-filtered selection of molecules, and analysis of positional isotopomer distributions in complex mixtures afforded by multinuclear and multidimensional experiments. In addition, NMR has the capacity for spatially selective in vivo imaging and dynamical analysis of metabolism in tissues of living organisms. In conjunction with the use of stable isotope tracers, NMR is a method of choice for exploring the dynamics and compartmentation of metabolic pathways and networks, for which our current understanding is grossly insufficient. In this review, we describe how various direct and isotope-edited 1D and 2D NMR methods can be employed to profile metabolites and their isotopomer distributions by stable isotope-resolved metabolomic (SIRM) analysis. We also highlight the importance of sample preparation methods including rapid cryoquenching, efficient extraction, and chemoselective derivatization to facilitate robust and reproducible NMR-based metabolomic analysis. We further illustrate how NMR has been applied in vitro, ex vivo, or in vivo in various stable isotope tracer-based metabolic studies, to gain systematic and novel metabolic insights in different biological systems, including human subjects. The pathway and network knowledge generated from NMR- and MS-based tracing of isotopically enriched substrates will be invaluable for directing functional analysis of other 'omics data to achieve understanding of regulation of biochemical systems, as demonstrated in a case study. Future developments in NMR technologies and reagents to enhance both detection sensitivity and resolution should further empower NMR in systems biochemical research.
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Affiliation(s)
- Teresa W-M Fan
- Department of Toxicology and Cancer Biology, University of Kentucky, 789 S. Limestone St., Lexington, KY 40536, United States.
| | - Andrew N Lane
- Department of Toxicology and Cancer Biology, University of Kentucky, 789 S. Limestone St., Lexington, KY 40536, United States.
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21
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Lewis AM, Abu-Absi NR, Borys MC, Li ZJ. The use of 'Omics technology to rationally improve industrial mammalian cell line performance. Biotechnol Bioeng 2015; 113:26-38. [PMID: 26059229 DOI: 10.1002/bit.25673] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 03/25/2015] [Accepted: 06/01/2015] [Indexed: 02/06/2023]
Abstract
Biologics represent an increasingly important class of therapeutics, with 7 of the 10 top selling drugs from 2013 being in this class. Furthermore, health authority approval of biologics in the immuno-oncology space is expected to transform treatment of patients with debilitating and deadly diseases. The growing importance of biologics in the healthcare field has also resulted in the recent approvals of several biosimilars. These recent developments, combined with pressure to provide treatments at lower costs to payers, are resulting in increasing need for the industry to quickly and efficiently develop high yielding, robust processes for the manufacture of biologics with the ability to control quality attributes within narrow distributions. Achieving this level of manufacturing efficiency and the ability to design processes capable of regulating growth, death and other cellular pathways through manipulation of media, feeding strategies, and other process parameters will undoubtedly be facilitated through systems biology tools generated in academic and public research communities. Here we discuss the intersection of systems biology, 'Omics technologies, and mammalian bioprocess sciences. Specifically, we address how these methods in conjunction with traditional monitoring techniques represent a unique opportunity to better characterize and understand host cell culture state, shift from an empirical to rational approach to process development and optimization of bioreactor cultivation processes. We summarize the following six key areas: (i) research applied to parental, non-recombinant cell lines; (ii) systems level datasets generated with recombinant cell lines; (iii) datasets linking phenotypic traits to relevant biomarkers; (iv) data depositories and bioinformatics tools; (v) in silico model development, and (vi) examples where these approaches have been used to rationally improve cellular processes. We critically assess relevant and state of the art research being conducted in academic, government and industrial laboratories. Furthermore, we apply our expertise in bioprocess to define a potential model for integration of these systems biology approaches into biologics development.
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Affiliation(s)
- Amanda M Lewis
- Biologics Development, Global Manufacturing and Supply, Bristol-Myers Squibb Company, 35 South Street, Hopkinton 01748, Massachusetts.
| | - Nicholas R Abu-Absi
- Biologics Development, Global Manufacturing and Supply, Bristol-Myers Squibb Company, 35 South Street, Hopkinton 01748, Massachusetts
| | - Michael C Borys
- Biologics Development, Global Manufacturing and Supply, Bristol-Myers Squibb Company, 35 South Street, Hopkinton 01748, Massachusetts
| | - Zheng Jian Li
- Biologics Development, Global Manufacturing and Supply, Bristol-Myers Squibb Company, 35 South Street, Hopkinton 01748, Massachusetts
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22
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Okahashi N, Kohno S, Kitajima S, Matsuda F, Takahashi C, Shimizu H. Metabolic characterization of cultured mammalian cells by mass balance analysis, tracer labeling experiments and computer-aided simulations. J Biosci Bioeng 2015; 120:725-31. [PMID: 25936961 DOI: 10.1016/j.jbiosc.2015.04.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Revised: 03/26/2015] [Accepted: 04/03/2015] [Indexed: 12/17/2022]
Abstract
Studying metabolic directions and flow rates in cultured mammalian cells can provide key information for understanding metabolic function in the fields of cancer research, drug discovery, stem cell biology, and antibody production. In this work, metabolic engineering methodologies including medium component analysis, (13)C-labeling experiments, and computer-aided simulation analysis were applied to characterize the metabolic phenotype of soft tissue sarcoma cells derived from p53-null mice. Cells were cultured in medium containing [1-(13)C] glutamine to assess the level of reductive glutamine metabolism via the reverse reaction of isocitrate dehydrogenase (IDH). The specific uptake and production rates of glucose, organic acids, and the 20 amino acids were determined by time-course analysis of cultured media. Gas chromatography-mass spectrometry analysis of the (13)C-labeling of citrate, succinate, fumarate, malate, and aspartate confirmed an isotopically steady state of the cultured cells. After removing the effect of naturally occurring isotopes, the direction of the IDH reaction was determined by computer-aided analysis. The results validated that metabolic engineering methodologies are applicable to soft tissue sarcoma cells derived from p53-null mice, and also demonstrated that reductive glutamine metabolism is active in p53-null soft tissue sarcoma cells under normoxia.
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Affiliation(s)
- Nobuyuki Okahashi
- Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan.
| | - Susumu Kohno
- Division of Oncology and Molecular Biology, Cancer Research Institute, Kanazawa University, Kakuma, Kanazawa, Ishikawa 920-1192, Japan.
| | - Shunsuke Kitajima
- Division of Oncology and Molecular Biology, Cancer Research Institute, Kanazawa University, Kakuma, Kanazawa, Ishikawa 920-1192, Japan.
| | - Fumio Matsuda
- Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan.
| | - Chiaki Takahashi
- Division of Oncology and Molecular Biology, Cancer Research Institute, Kanazawa University, Kakuma, Kanazawa, Ishikawa 920-1192, Japan.
| | - Hiroshi Shimizu
- Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan.
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23
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Ibáñez C, Simó C, Valdés A, Campone L, Piccinelli AL, García-Cañas V, Cifuentes A. Metabolomics of adherent mammalian cells by capillary electrophoresis-mass spectrometry: HT-29 cells as case study. J Pharm Biomed Anal 2015; 110:83-92. [PMID: 25818703 DOI: 10.1016/j.jpba.2015.03.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Revised: 02/27/2015] [Accepted: 03/03/2015] [Indexed: 01/05/2023]
Abstract
In this work, the optimization of an effective protocol for cell metabolomics is described with special emphasis in the sample preparation and subsequent analysis of intracellular metabolites from adherent mammalian cells by capillary electrophoresis-mass spectrometry. As case study, colon cancer HT-29 cells, a human cell model to investigate colon cancer, are employed. The feasibility of the whole method for cell metabolomics is demonstrated via a fast and sensitive profiling of the intracellular metabolites HT-29 cells by capillary electrophoresis-time-of-flight mass spectrometry (CE-TOF MS). The suitability of this methodology is further corroborated through the examination of the metabolic changes in the polyamines pathway produced in colon cancer HT-29 cells by difluoromethylornithine (DFMO), a known potent ornithine decarboxylase inhibitor. The selection of the optimum extraction conditions allowed a higher sample volume injection that led to an increase in CE-TOF MS sensitivity. Following a non-targeted metabolomics approach, 10 metabolites (namely, putrescine, ornithine, gamma-aminobutyric acid (GABA), oxidized and reduced glutathione, 5'-deoxy-5'-(methylthio)adenosine, N-acetylputrescine, cysteinyl-glycine, spermidine and an unknown compound) were found to be significantly altered by DFMO (p<0.05) in HT-29 cells. In addition to the effect of DFMO on polyamine metabolism, minor modifications of other metabolic pathways (e.g., related to intracellular thiol redox state) were observed.
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Affiliation(s)
- Clara Ibáñez
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), CSIC, Nicolas Cabrera 9, Cantoblanco Campus, 28049 Madrid, Spain.
| | - Carolina Simó
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), CSIC, Nicolas Cabrera 9, Cantoblanco Campus, 28049 Madrid, Spain.
| | - Alberto Valdés
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), CSIC, Nicolas Cabrera 9, Cantoblanco Campus, 28049 Madrid, Spain.
| | - Luca Campone
- Dipartimento di Farmacia, University of Salerno, Via Giovanni Paolo II 132, 84084, Fisciano (SA), Italy.
| | - Anna Lisa Piccinelli
- Dipartimento di Farmacia, University of Salerno, Via Giovanni Paolo II 132, 84084, Fisciano (SA), Italy.
| | - Virginia García-Cañas
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), CSIC, Nicolas Cabrera 9, Cantoblanco Campus, 28049 Madrid, Spain.
| | - Alejandro Cifuentes
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), CSIC, Nicolas Cabrera 9, Cantoblanco Campus, 28049 Madrid, Spain.
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24
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Antoniewicz MR. Methods and advances in metabolic flux analysis: a mini-review. J Ind Microbiol Biotechnol 2015; 42:317-25. [PMID: 25613286 DOI: 10.1007/s10295-015-1585-x] [Citation(s) in RCA: 145] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 01/09/2015] [Indexed: 01/12/2023]
Abstract
Metabolic flux analysis (MFA) is one of the pillars of metabolic engineering. Over the past three decades, it has been widely used to quantify intracellular metabolic fluxes in both native (wild type) and engineered biological systems. Through MFA, changes in metabolic pathway fluxes are quantified that result from genetic and/or environmental interventions. This information, in turn, provides insights into the regulation of metabolic pathways and may suggest new targets for further metabolic engineering of the strains. In this mini-review, we discuss and classify the various methods of MFA that have been developed, which include stoichiometric MFA, (13)C metabolic flux analysis, isotopic non-stationary (13)C metabolic flux analysis, dynamic metabolic flux analysis, and (13)C dynamic metabolic flux analysis. For each method, we discuss key advantages and limitations and conclude by highlighting important recent advances in flux analysis approaches.
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Affiliation(s)
- Maciek R Antoniewicz
- Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, 150 Academy St, Newark, DE, 19716, USA,
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25
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Vaz FM, Pras-Raves M, Bootsma AH, van Kampen AHC. Principles and practice of lipidomics. J Inherit Metab Dis 2015; 38:41-52. [PMID: 25409862 DOI: 10.1007/s10545-014-9792-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Revised: 10/24/2014] [Accepted: 11/03/2014] [Indexed: 01/16/2023]
Abstract
The technical advances in mass spectrometry, particularly the development of (ultra)-high-resolution/mass accuracy measurement capabilities in combination with refinement of soft ionization techniques, have increased the application and success of lipidomics to answer biological questions in relation to lipid metabolism. Together with other omics technologies, lipidomics has become an important tool to practice systems biology as lipids comprise a very significant part of the metabolome and play pleiotropic roles in cellular functions. As an increasing number of disorders are linked to lipid metabolism, lipidomics is used to search for biomarkers, understand disease mechanism and follow the efficacy of therapeutic options. This review provides a first introduction to the major methodological strategies currently used for mass spectrometry-based lipidomics and associated data pre-processing and analysis.
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Affiliation(s)
- Frédéric M Vaz
- Laboratory Genetic Metabolic Disease (F0-224), Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Academic Medical Center (AMC), Amsterdam, 1105 AZ, The Netherlands,
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26
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Niedenführ S, Wiechert W, Nöh K. How to measure metabolic fluxes: a taxonomic guide for (13)C fluxomics. Curr Opin Biotechnol 2014; 34:82-90. [PMID: 25531408 DOI: 10.1016/j.copbio.2014.12.003] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Revised: 11/28/2014] [Accepted: 12/01/2014] [Indexed: 12/24/2022]
Abstract
Metabolic reaction rates (fluxes) contribute fundamentally to our understanding of metabolic phenotypes and mechanisms of cellular regulation. Stable isotope-based fluxomics integrates experimental data with biochemical networks and mathematical modeling to 'measure' the in vivo fluxes within an organism that are not directly observable. In recent years, (13)C fluxomics has evolved into a technology with great experimental, analytical, and mathematical diversity. This review aims at establishing a unified taxonomy by means of which the various fluxomics methods can be compared to each other. By linking the developed modeling approaches to recent studies, their challenges and opportunities are put into perspective. The proposed classification serves as a guide for scientific 'travelers' who are striving to resolve research questions with the currently available (13)C fluxomics toolset.
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Affiliation(s)
| | - Wolfgang Wiechert
- IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
| | - Katharina Nöh
- IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
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27
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Cakır T, Khatibipour MJ. Metabolic network discovery by top-down and bottom-up approaches and paths for reconciliation. Front Bioeng Biotechnol 2014; 2:62. [PMID: 25520953 PMCID: PMC4253960 DOI: 10.3389/fbioe.2014.00062] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2014] [Accepted: 11/14/2014] [Indexed: 11/13/2022] Open
Abstract
The primary focus in the network-centric analysis of cellular metabolism by systems biology approaches is to identify the active metabolic network for the condition of interest. Two major approaches are available for the discovery of the condition-specific metabolic networks. One approach starts from genome-scale metabolic networks, which cover all possible reactions known to occur in the related organism in a condition-independent manner, and applies methods such as the optimization-based Flux-Balance Analysis to elucidate the active network. The other approach starts from the condition-specific metabolome data, and processes the data with statistical or optimization-based methods to extract information content of the data such that the active network is inferred. These approaches, termed bottom-up and top-down, respectively, are currently employed independently. However, considering that both approaches have the same goal, they can both benefit from each other paving the way for the novel integrative analysis methods of metabolome data- and flux-analysis approaches in the post-genomic era. This study reviews the strengths of constraint-based analysis and network inference methods reported in the metabolic systems biology field; then elaborates on the potential paths to reconcile the two approaches to shed better light on how the metabolism functions.
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Affiliation(s)
- Tunahan Cakır
- Computational Systems Biology Group, Department of Bioengineering, Gebze Technical University (formerly known as Gebze Institute of Technology) , Gebze , Turkey
| | - Mohammad Jafar Khatibipour
- Computational Systems Biology Group, Department of Bioengineering, Gebze Technical University (formerly known as Gebze Institute of Technology) , Gebze , Turkey ; Department of Chemical Engineering, Gebze Technical University (formerly known as Gebze Institute of Technology) , Gebze , Turkey
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28
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Enhancement of production of protein biopharmaceuticals by mammalian cell cultures: the metabolomics perspective. Curr Opin Biotechnol 2014; 30:73-9. [DOI: 10.1016/j.copbio.2014.06.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 05/26/2014] [Accepted: 06/08/2014] [Indexed: 01/01/2023]
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29
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Heux S, Poinot J, Massou S, Sokol S, Portais JC. A novel platform for automated high-throughput fluxome profiling of metabolic variants. Metab Eng 2014; 25:8-19. [PMID: 24930895 DOI: 10.1016/j.ymben.2014.06.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2014] [Revised: 04/07/2014] [Accepted: 06/04/2014] [Indexed: 11/15/2022]
Abstract
Advances in metabolic engineering are enabling the creation of a large number of cell factories. However, high-throughput platforms do not yet exist for rapidly analyzing the metabolic network of the engineered cells. To fill the gap, we developed an integrated solution for fluxome profiling of large sets of biological systems and conditions. This platform combines a robotic system for (13)C-labelling experiments and sampling of labelled material with NMR-based isotopic fingerprinting and automated data interpretation. As a proof-of-concept, this workflow was applied to discriminate between Escherichia coli mutants with gradual expression of the glucose-6-phosphate dehydrogenase. Metabolic variants were clearly discriminated while pathways that support metabolic flexibility towards modulation of a single enzyme were elucidating. By directly connecting the data flow between cell cultivation and flux quantification, considerable advances in throughput, robustness, release of resources and screening capacity were achieved. This will undoubtedly facilitate the development of efficient cell factories.
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Affiliation(s)
- Stéphanie Heux
- Université de Toulouse; INSA, UPS, INP; LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France; INRA, UMR792, Ingénierie des Systèmes Biologiques et des Procédés, F-31400 Toulouse, France; CNRS, UMR5504, F-31400 Toulouse, France.
| | - Juliette Poinot
- Université de Toulouse; INSA, UPS, INP; LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France; INRA, UMR792, Ingénierie des Systèmes Biologiques et des Procédés, F-31400 Toulouse, France; CNRS, UMR5504, F-31400 Toulouse, France
| | - Stéphane Massou
- Université de Toulouse; INSA, UPS, INP; LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France; INRA, UMR792, Ingénierie des Systèmes Biologiques et des Procédés, F-31400 Toulouse, France; CNRS, UMR5504, F-31400 Toulouse, France
| | - Serguei Sokol
- Université de Toulouse; INSA, UPS, INP; LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France; INRA, UMR792, Ingénierie des Systèmes Biologiques et des Procédés, F-31400 Toulouse, France; CNRS, UMR5504, F-31400 Toulouse, France
| | - Jean-Charles Portais
- Université de Toulouse; INSA, UPS, INP; LISBP, 135 Avenue de Rangueil, F-31077 Toulouse, France; INRA, UMR792, Ingénierie des Systèmes Biologiques et des Procédés, F-31400 Toulouse, France; CNRS, UMR5504, F-31400 Toulouse, France
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30
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Kell DB, Goodacre R. Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery. Drug Discov Today 2014; 19:171-82. [PMID: 23892182 PMCID: PMC3989035 DOI: 10.1016/j.drudis.2013.07.014] [Citation(s) in RCA: 118] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Revised: 07/03/2013] [Accepted: 07/16/2013] [Indexed: 02/06/2023]
Abstract
Metabolism represents the 'sharp end' of systems biology, because changes in metabolite concentrations are necessarily amplified relative to changes in the transcriptome, proteome and enzyme activities, which can be modulated by drugs. To understand such behaviour, we therefore need (and increasingly have) reliable consensus (community) models of the human metabolic network that include the important transporters. Small molecule 'drug' transporters are in fact metabolite transporters, because drugs bear structural similarities to metabolites known from the network reconstructions and from measurements of the metabolome. Recon2 represents the present state-of-the-art human metabolic network reconstruction; it can predict inter alia: (i) the effects of inborn errors of metabolism; (ii) which metabolites are exometabolites, and (iii) how metabolism varies between tissues and cellular compartments. However, even these qualitative network models are not yet complete. As our understanding improves so do we recognise more clearly the need for a systems (poly)pharmacology.
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Affiliation(s)
- Douglas B Kell
- School of Chemistry and Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK.
| | - Royston Goodacre
- School of Chemistry and Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
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31
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Zhou R, Guo K, Li L. 5-Diethylamino-naphthalene-1-sulfonyl Chloride (DensCl): A Novel Triplex Isotope Labeling Reagent for Quantitative Metabolome Analysis by Liquid Chromatography Mass Spectrometry. Anal Chem 2013; 85:11532-9. [DOI: 10.1021/ac403000n] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Ruokun Zhou
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Kevin Guo
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Liang Li
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
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32
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Weber RJM, Selander E, Sommer U, Viant MR. A stable-isotope mass spectrometry-based metabolic footprinting approach to analyze exudates from phytoplankton. Mar Drugs 2013; 11:4158-75. [PMID: 24172212 PMCID: PMC3853721 DOI: 10.3390/md11114158] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2013] [Revised: 09/13/2013] [Accepted: 10/01/2013] [Indexed: 11/16/2022] Open
Abstract
Phytoplankton exudates play an important role in pelagic ecology and biogeochemical cycles of elements. Exuded compounds fuel the microbial food web and often encompass bioactive secondary metabolites like sex pheromones, allelochemicals, antibiotics, or feeding attractants that mediate biological interactions. Despite this importance, little is known about the bioactive compounds present in phytoplankton exudates. We report a stable-isotope metabolic footprinting method to characterise exudates from aquatic autotrophs. Exudates from (13)C-enriched alga were concentrated by solid phase extraction and analysed by high-resolution Fourier transform ion cyclotron resonance mass spectrometry. We used the harmful algal bloom forming dinoflagellate Alexandrium tamarense to prove the method. An algorithm was developed to automatically pinpoint just those metabolites with highly (13)C-enriched isotope signatures, allowing us to discover algal exudates from the complex seawater background. The stable-isotope pattern (SIP) of the detected metabolites then allowed for more accurate assignment to an empirical formula, a critical first step in their identification. This automated workflow provides an effective way to explore the chemical nature of the solutes exuded from phytoplankton cells and will facilitate the discovery of novel dissolved bioactive compounds.
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Affiliation(s)
- Ralf J. M. Weber
- School of Biosciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; E-Mail:
| | - Erik Selander
- Centre for Ocean Life, National Institute of Aquatic Resources, Technical University of Denmark, Kavalergården 6, 2920 Charlottenlund, Denmark; E-Mail:
| | - Ulf Sommer
- NERC Biomolecular Analysis Facility-Metabolomics Node (NBAF-B), University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; E-Mail:
| | - Mark R. Viant
- School of Biosciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; E-Mail:
- NERC Biomolecular Analysis Facility-Metabolomics Node (NBAF-B), University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; E-Mail:
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +44-121-41-42219; Fax: +44-121-41-45925
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33
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Klein S, Mueller D, Schevchenko V, Noor F. Long-term maintenance of HepaRG cells in serum-free conditions and application in a repeated dose study. J Appl Toxicol 2013; 34:1078-86. [DOI: 10.1002/jat.2929] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Revised: 07/28/2013] [Accepted: 08/08/2013] [Indexed: 11/10/2022]
Affiliation(s)
- Sebastian Klein
- Biochemical Engineering; Saarland University; 66123 Saarbruecken Germany
| | - Daniel Mueller
- Biochemical Engineering; Saarland University; 66123 Saarbruecken Germany
| | | | - Fozia Noor
- Biochemical Engineering; Saarland University; 66123 Saarbruecken Germany
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34
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Sims JK, Manteiga S, Lee K. Towards high resolution analysis of metabolic flux in cells and tissues. Curr Opin Biotechnol 2013; 24:933-9. [PMID: 23906926 DOI: 10.1016/j.copbio.2013.07.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Accepted: 07/05/2013] [Indexed: 12/22/2022]
Abstract
Metabolism extracts chemical energy from nutrients, uses this energy to form building blocks for biosynthesis, and interconverts between various small molecules that coordinate the activities of cellular pathways. The metabolic state of a cell is increasingly recognized to determine the phenotype of not only metabolically active cell types such as liver, muscle, and adipose, but also other specialized cell types such as neurons and immune cells. This review focuses on methods to quantify intracellular reaction flux as a measure of cellular metabolic activity, with emphasis on studies involving cells of mammalian tissue. Two key areas are highlighted for future development, single cell metabolomics and noninvasive imaging, which could enable spatiotemporally resolved analysis and thereby overcome issues of heterogeneity, a distinctive feature of tissue metabolism.
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Affiliation(s)
- James K Sims
- Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155, United States
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35
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Panetta JC, Paugh SW, Evans WE. Mathematical modeling of folate metabolism. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE 2013; 5:603-13. [PMID: 23703958 DOI: 10.1002/wsbm.1227] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2013] [Revised: 04/16/2013] [Accepted: 04/18/2013] [Indexed: 01/03/2023]
Abstract
Folate metabolism is a complex biological process that is influenced by many variables including transporters, cofactors, and enzymes. Mathematical models provide a useful tool to evaluate this complex system and to elucidate hypotheses that would be otherwise untenable to test in vitro or in vivo. Forty years of model development and refinement along with enhancements in technology have led to systematic improvement in our biological understanding of these models. However, increased complexity does not always lead to increased understanding, and a balanced approach to modeling the system is often advantageous. This approach should address questions about sensitivity of the model to variation and incorporate genomic data. The folate model is a useful platform for investigating the effects of antifolates on the folate pathway. The utility of the model is demonstrated through interrogation of drug resistance, drug-drug interactions, drug selectivity, and drug doses and schedules. Mathematics can be used to create models with the ability to design and improve rationale therapeutic interventions.
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Affiliation(s)
- John C Panetta
- Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
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