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Jenne A, Soong R, Gruschke O, Bastawrous M, Monks P, Moloney C, Brougham DF, Busse F, Bermel W, Courtier-Murias D, Wu B, Simpson A. A holistic NMR framework to understand environmental impact: Examining the impacts of superparamagnetic iron oxide nanoparticles (SPIONs) in Daphnia magna via imaging, spectroscopy, and metabolomics. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2023; 61:728-739. [PMID: 36137948 DOI: 10.1002/mrc.5315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
Superparamagnetic iron oxide nanoparticles (SPIONs) are a contaminant of emerging interest, often used in the medical field as an imaging contrast agent, with additional uses in wastewater treatment and as food additives. Although the use of SPIONs is increasing, little research has been conducted on the toxic impacts to living organisms beyond traditional lethal concentration endpoints. Daphnia magna are model organisms for aquatic toxicity testing with a well understood metabolome and high sensitivity to SPIONs. Thus, as environmental concentrations continue to increase, it is becoming critical to understand their sub-lethal toxicity. Due to the paramagnetic nature of SPIONs, a range of potential nuclear magnetic resonance spectroscopy (NMR) experiments are possible, offering the potential to probe the physical location (via imaging), binding (via relaxation weighted spectroscopy), and the biochemical pathways impacted (via in vivo metabolomics). Results indicate binding to carbohydrates, likely chitin in the exoskeleton, along with a decrease in energy metabolites and specific biomarkers of oxidative stress. The holistic NMR framework used here helps provide a more comprehensive understanding of SPIONs impacts on D. magna and showcases NMR's versatility in providing physical, chemical, and biochemical insights.
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Affiliation(s)
- Amy Jenne
- Environmental NMR Center, University of Toronto Scarborough, Scarborough, Ontario, Canada
| | - Ronald Soong
- Environmental NMR Center, University of Toronto Scarborough, Scarborough, Ontario, Canada
| | | | - Monica Bastawrous
- Environmental NMR Center, University of Toronto Scarborough, Scarborough, Ontario, Canada
| | - Patricia Monks
- Department of Chemistry, RCSI University of Health Sciences, Dublin, Ireland
| | - Cara Moloney
- School of Medicine, BioDiscovery Institute-3, University of Nottingham, University Park, Nottingham, UK
| | | | | | | | - Denis Courtier-Murias
- Université Gustave Eiffel, GERS-LEE, Bouguenais, France
- Institut de Recherche en Sciences et Techniques de la Ville IRSTV, CNRS, Nantes, France
| | - Bing Wu
- Institute for Molecules and Materials, Radboud University, Nijmegen, The Netherlands
| | - Andre Simpson
- Environmental NMR Center, University of Toronto Scarborough, Scarborough, Ontario, Canada
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2
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Moxley-Paquette V, Lane D, Steiner K, Downey K, Costa PM, Lysak DH, Ronda K, Soong R, Zverev D, De Castro P, Frei T, Stuessi J, Al Adwan-Stojilkovic D, Graf S, Gloor S, Schmidig D, Kuemmerle R, Kuehn T, Busse F, Utz M, Lacerda A, Nashman B, Albert L, Anders J, Simpson AJ. Development of Low-Magnetic Susceptibility Microcoils via 5-Axis Machining for Analysis of Biological and Environmental Samples. Anal Chem 2023; 95:13932-13940. [PMID: 37676066 DOI: 10.1021/acs.analchem.3c02437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
In environmental research, it is critical to understand how toxins impact invertebrate eggs and egg banks, which, due to their tiny size, are very challenging to study by conventional nuclear magnetic resonance (NMR) spectroscopy. Microcoil technology has been extensively utilized to enhance the mass-sensitivity of NMR. In a previous study, 5-axis computer numerical control (CNC) micromilling (shown to be a viable alternative to traditional microcoil production methods) was used to create a prototype copper slotted-tube resonator (STR). Despite the excellent limit of detection (LOD) of the resonator, the quality of the line shape was very poor due to the magnetic susceptibility of the copper resonator itself. This is best solved using magnetic susceptibility-matched materials. In this study, approaches are investigated that improve the susceptibility while retaining the versatility of coil milling. One method involves machining STRs from various copper/aluminum alloys, while the other involves machining ones from an aluminum 2011 alloy and electroplating them with copper. In all cases, combining copper and aluminum to produce resonators resulted in improved line shape and SNR compared to pure copper resonators due to their reduced magnetic susceptibility. However, the copper-plated aluminum resonators showed optimal performance from the devices tested. The enhanced LOD of these STRs allowed for the first 1H-13C heteronuclear multiple quantum coherence (HMQC) of a single intact 13C-labeled Daphnia magna egg (∼4 μg total biomass). This is a key step toward future screening programs that aim to elucidate the toxic processes in aquatic eggs.
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Affiliation(s)
- Vincent Moxley-Paquette
- Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada
| | - Daniel Lane
- Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada
| | - Katrina Steiner
- Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada
| | - Katelyn Downey
- Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada
| | - Peter M Costa
- Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada
| | - Daniel H Lysak
- Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada
| | - Kiera Ronda
- Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada
| | - Ronald Soong
- Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada
| | - Dimitri Zverev
- NSCNC Manufacturing LTD, 1515 Broadway Street Unit 607, Port Coquitlam, British Columbia V3C 6M2, Canada
| | - Peter De Castro
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Thomas Frei
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Juerg Stuessi
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | | | - Stephan Graf
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Simon Gloor
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Daniel Schmidig
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Rainer Kuemmerle
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Till Kuehn
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Falko Busse
- Bruker Biospin GmbH, Silberstreifen 4, 76287 Rheinstetten, Germany
| | - Marcel Utz
- School of Chemistry, University of Southampton, Southampton SO17 1BJ, U.K
| | - Andressa Lacerda
- Synex Medical, 2 Bloor Street E, Suite 310, Toronto, Ontario M4W 1A8Canada
| | - Ben Nashman
- Synex Medical, 2 Bloor Street E, Suite 310, Toronto, Ontario M4W 1A8Canada
| | - Larry Albert
- ACI Alloys, Inc, 1458 Seareel Place, San Jose, California 95131, United States
| | - Jens Anders
- Institute of Smart Sensors,University of Stuttgart, Pfaffenwaldring 47, 70569 Stuttgart, Germany
| | - André J Simpson
- Environmental NMR Center, University of Toronto, 1265 Military Trail, Toronto, Ontario M1C 1A4, Canada
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3
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Metabolomics and modelling approaches for systems metabolic engineering. Metab Eng Commun 2022; 15:e00209. [PMID: 36281261 PMCID: PMC9587336 DOI: 10.1016/j.mec.2022.e00209] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 10/13/2022] [Accepted: 10/14/2022] [Indexed: 11/21/2022] Open
Abstract
Metabolic engineering involves the manipulation of microbes to produce desirable compounds through genetic engineering or synthetic biology approaches. Metabolomics involves the quantitation of intracellular and extracellular metabolites, where mass spectrometry and nuclear magnetic resonance based analytical instrumentation are often used. Here, the experimental designs, sample preparations, metabolite quenching and extraction are essential to the quantitative metabolomics workflow. The resultant metabolomics data can then be used with computational modelling approaches, such as kinetic and constraint-based modelling, to better understand underlying mechanisms and bottlenecks in the synthesis of desired compounds, thereby accelerating research through systems metabolic engineering. Constraint-based models, such as genome scale models, have been used successfully to enhance the yield of desired compounds from engineered microbes, however, unlike kinetic or dynamic models, constraint-based models do not incorporate regulatory effects. Nevertheless, the lack of time-series metabolomic data generation has hindered the usefulness of dynamic models till today. In this review, we show that improvements in automation, dynamic real-time analysis and high throughput workflows can drive the generation of more quality data for dynamic models through time-series metabolomics data generation. Spatial metabolomics also has the potential to be used as a complementary approach to conventional metabolomics, as it provides information on the localization of metabolites. However, more effort must be undertaken to identify metabolites from spatial metabolomics data derived through imaging mass spectrometry, where machine learning approaches could prove useful. On the other hand, single-cell metabolomics has also seen rapid growth, where understanding cell-cell heterogeneity can provide more insights into efficient metabolic engineering of microbes. Moving forward, with potential improvements in automation, dynamic real-time analysis, high throughput workflows, and spatial metabolomics, more data can be produced and studied using machine learning algorithms, in conjunction with dynamic models, to generate qualitative and quantitative predictions to advance metabolic engineering efforts.
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Theillet FX, Luchinat E. In-cell NMR: Why and how? PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2022; 132-133:1-112. [PMID: 36496255 DOI: 10.1016/j.pnmrs.2022.04.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 04/19/2022] [Accepted: 04/27/2022] [Indexed: 06/17/2023]
Abstract
NMR spectroscopy has been applied to cells and tissues analysis since its beginnings, as early as 1950. We have attempted to gather here in a didactic fashion the broad diversity of data and ideas that emerged from NMR investigations on living cells. Covering a large proportion of the periodic table, NMR spectroscopy permits scrutiny of a great variety of atomic nuclei in all living organisms non-invasively. It has thus provided quantitative information on cellular atoms and their chemical environment, dynamics, or interactions. We will show that NMR studies have generated valuable knowledge on a vast array of cellular molecules and events, from water, salts, metabolites, cell walls, proteins, nucleic acids, drugs and drug targets, to pH, redox equilibria and chemical reactions. The characterization of such a multitude of objects at the atomic scale has thus shaped our mental representation of cellular life at multiple levels, together with major techniques like mass-spectrometry or microscopies. NMR studies on cells has accompanied the developments of MRI and metabolomics, and various subfields have flourished, coined with appealing names: fluxomics, foodomics, MRI and MRS (i.e. imaging and localized spectroscopy of living tissues, respectively), whole-cell NMR, on-cell ligand-based NMR, systems NMR, cellular structural biology, in-cell NMR… All these have not grown separately, but rather by reinforcing each other like a braided trunk. Hence, we try here to provide an analytical account of a large ensemble of intricately linked approaches, whose integration has been and will be key to their success. We present extensive overviews, firstly on the various types of information provided by NMR in a cellular environment (the "why", oriented towards a broad readership), and secondly on the employed NMR techniques and setups (the "how", where we discuss the past, current and future methods). Each subsection is constructed as a historical anthology, showing how the intrinsic properties of NMR spectroscopy and its developments structured the accessible knowledge on cellular phenomena. Using this systematic approach, we sought i) to make this review accessible to the broadest audience and ii) to highlight some early techniques that may find renewed interest. Finally, we present a brief discussion on what may be potential and desirable developments in the context of integrative studies in biology.
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Affiliation(s)
- Francois-Xavier Theillet
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France.
| | - Enrico Luchinat
- Dipartimento di Scienze e Tecnologie Agro-Alimentari, Alma Mater Studiorum - Università di Bologna, Piazza Goidanich 60, 47521 Cesena, Italy; CERM - Magnetic Resonance Center, and Neurofarba Department, Università degli Studi di Firenze, 50019 Sesto Fiorentino, Italy
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5
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Moxley-Paquette V, Wu B, Lane D, Bastawrous M, Ning P, Soong R, De Castro P, Kovacevic I, Frei T, Stuessi J, Al Adwan-Stojilkovic D, Graf S, Vincent F, Schmidig D, Kuehn T, Kuemmerle R, Beck A, Fey M, Bermel W, Busse F, Gundy M, Boenisch H, Heumann H, Nashman B, Dutta Majumdar R, Lacerda A, Simpson AJ. Evaluation of double-tuned single-sided planar microcoils for the analysis of small 13 C enriched biological samples using 1 H- 13 C 2D heteronuclear correlation NMR spectroscopy. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2022; 60:386-397. [PMID: 34647646 DOI: 10.1002/mrc.5227] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 10/06/2021] [Accepted: 10/07/2021] [Indexed: 06/13/2023]
Abstract
Microcoils provide a cost-effective approach to improve detection limits for mass-limited samples. Single-sided planar microcoils are advantageous in comparison to volume coils, in that the sample can simply be placed on top. However, the considerable drawback is that the RF field that is produced by the coil decreases with distance from the coil surface, which potentially limits more complex multi-pulse NMR pulse sequences. Unfortunately, 1 H NMR alone is not very informative for intact biological samples due to line broadening caused by magnetic susceptibility distortions, and 1 H-13 C 2D NMR correlations are required to provide the additional spectral dispersion for metabolic assignments in vivo or in situ. To our knowledge, double-tuned single-sided microcoils have not been applied for the 2D 1 H-13 C analysis of intact 13 C enriched biological samples. Questions include the following: Can 1 H-13 C 2D NMR be performed on single-sided planar microcoils? If so, do they still hold sensitivity advantages over conventional 5 mm NMR technology for mass limited samples? Here, 2D 1 H-13 C HSQC, HMQC, and HETCOR variants were compared and then applied to 13 C enriched broccoli seeds and Daphnia magna (water fleas). Compared to 5 mm NMR probes, the microcoils showed a sixfold improvement in mass sensitivity (albeit only for a small localized region) and allowed for the identification of metabolites in a single intact D. magna for the first time. Single-sided planar microcoils show practical benefit for 1 H-13 C NMR of intact biological samples, if localized information within ~0.7 mm of the 1 mm I.D. planar microcoil surface is of specific interest.
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Affiliation(s)
| | - Bing Wu
- Environmental NMR Center, University of Toronto, Toronto, Ontario, Canada
| | - Daniel Lane
- Environmental NMR Center, University of Toronto, Toronto, Ontario, Canada
| | - Monica Bastawrous
- Environmental NMR Center, University of Toronto, Toronto, Ontario, Canada
| | - Paris Ning
- Environmental NMR Center, University of Toronto, Toronto, Ontario, Canada
| | - Ronald Soong
- Environmental NMR Center, University of Toronto, Toronto, Ontario, Canada
| | - Peter De Castro
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | - Ivan Kovacevic
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | - Thomas Frei
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | - Juerg Stuessi
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | | | - Stephan Graf
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | - Franck Vincent
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | - Daniel Schmidig
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | - Till Kuehn
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | - Rainer Kuemmerle
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | - Armin Beck
- Magnetic Resonance Spectroscopy Division, Bruker BioSpin AG, Fällanden, Switzerland
| | - Michael Fey
- Magnetic Resonance Spectroscopy Division, Bruker Corporation, Billerica, MA, USA
| | - Wolfgang Bermel
- Magnetic Resonance Spectroscopy Division, Bruker Biospin GmbH, Rheinstetten, Germany
| | - Falko Busse
- Magnetic Resonance Spectroscopy Division, Bruker Biospin GmbH, Rheinstetten, Germany
| | - Marcel Gundy
- Research and Development, Silantes GmbH, Munich, Germany
| | | | | | - Ben Nashman
- Research and Development, Synex Medical, Toronto, Ontario, Canada
| | | | - Andressa Lacerda
- Research and Development, Synex Medical, Toronto, Ontario, Canada
| | - André J Simpson
- Environmental NMR Center, University of Toronto, Toronto, Ontario, Canada
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6
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Anaraki MT, Lysak DH, Downey K, Kock FVC, You X, Majumdar RD, Barison A, Lião LM, Ferreira AG, Decker V, Goerling B, Spraul M, Godejohann M, Helm PA, Kleywegt S, Jobst K, Soong R, Simpson MJ, Simpson AJ. NMR spectroscopy of wastewater: A review, case study, and future potential. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2021; 126-127:121-180. [PMID: 34852923 DOI: 10.1016/j.pnmrs.2021.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 06/13/2023]
Abstract
NMR spectroscopy is arguably the most powerful tool for the study of molecular structures and interactions, and is increasingly being applied to environmental research, such as the study of wastewater. With over 97% of the planet's water being saltwater, and two thirds of freshwater being frozen in the ice caps and glaciers, there is a significant need to maintain and reuse the remaining 1%, which is a precious resource, critical to the sustainability of most life on Earth. Sanitation and reutilization of wastewater is an important method of water conservation, especially in arid regions, making the understanding of wastewater itself, and of its treatment processes, a highly relevant area of environmental research. Here, the benefits, challenges and subtleties of using NMR spectroscopy for the analysis of wastewater are considered. First, the techniques available to overcome the specific challenges arising from the nature of wastewater (which is a complex and dilute matrix), including an examination of sample preparation and NMR techniques (such as solvent suppression), in both the solid and solution states, are discussed. Then, the arsenal of available NMR techniques for both structure elucidation (e.g., heteronuclear, multidimensional NMR, homonuclear scalar coupling-based experiments) and the study of intermolecular interactions (e.g., diffusion, nuclear Overhauser and saturation transfer-based techniques) in wastewater are examined. Examples of wastewater NMR studies from the literature are reviewed and potential areas for future research are identified. Organized by nucleus, this review includes the common heteronuclei (13C, 15N, 19F, 31P, 29Si) as well as other environmentally relevant nuclei and metals such as 27Al, 51V, 207Pb and 113Cd, among others. Further, the potential of additional NMR methods such as comprehensive multiphase NMR, NMR microscopy and hyphenated techniques (for example, LC-SPE-NMR-MS) for advancing the current understanding of wastewater are discussed. In addition, a case study that combines natural abundance (i.e. non-concentrated), targeted and non-targeted NMR to characterize wastewater, along with in vivo based NMR to understand its toxicity, is included. The study demonstrates that, when applied comprehensively, NMR can provide unique insights into not just the structure, but also potential impacts, of wastewater and wastewater treatment processes. Finally, low-field NMR, which holds considerable future potential for on-site wastewater monitoring, is briefly discussed. In summary, NMR spectroscopy is one of the most versatile tools in modern science, with abilities to study all phases (gases, liquids, gels and solids), chemical structures, interactions, interfaces, toxicity and much more. The authors hope this review will inspire more scientists to embrace NMR, given its huge potential for both wastewater analysis in particular and environmental research in general.
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Affiliation(s)
- Maryam Tabatabaei Anaraki
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto M1C1A4, Canada
| | - Daniel H Lysak
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto M1C1A4, Canada
| | - Katelyn Downey
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto M1C1A4, Canada
| | - Flávio Vinicius Crizóstomo Kock
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto M1C1A4, Canada; Department of Chemistry, Federal University of São Carlos-SP (UFSCar), São Carlos, SP, Brazil
| | - Xiang You
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto M1C1A4, Canada
| | - Rudraksha D Majumdar
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto M1C1A4, Canada; Synex Medical, 2 Bloor Street E, Suite 310, Toronto, ON M4W 1A8, Canada
| | - Andersson Barison
- NMR Center, Federal University of Paraná, CP 19081, 81530-900 Curitiba, PR, Brazil
| | - Luciano Morais Lião
- NMR Center, Institute of Chemistry, Universidade Federal de Goiás, Goiânia 74690-900, Brazil
| | | | - Venita Decker
- Bruker Biospin GmbH, Silberstreifen 4, 76287 Rheinstetten, Germany
| | | | - Manfred Spraul
- Bruker Biospin GmbH, Silberstreifen 4, 76287 Rheinstetten, Germany
| | | | - Paul A Helm
- Environmental Monitoring & Reporting Branch, Ontario Ministry of the Environment, Toronto M9P 3V6, Canada
| | - Sonya Kleywegt
- Technical Assessment and Standards Development Branch, Ontario Ministry of the Environment, Conservation and Parks, Toronto, ON M4V 1M2, Canada
| | - Karl Jobst
- Memorial University of Newfoundland, St. John's, NL A1C 5S7, Canada
| | - Ronald Soong
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto M1C1A4, Canada
| | - Myrna J Simpson
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto M1C1A4, Canada
| | - Andre J Simpson
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto M1C1A4, Canada.
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7
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Wu Y, Judge MT, Arnold J, Bhandarkar SM, Edison AS. RTExtract: time-series NMR spectra quantification based on 3D surface ridge tracking. Bioinformatics 2021; 36:5068-5075. [PMID: 32653900 PMCID: PMC7755419 DOI: 10.1093/bioinformatics/btaa631] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/28/2020] [Accepted: 07/06/2020] [Indexed: 12/23/2022] Open
Abstract
MOTIVATION Time-series nuclear magnetic resonance (NMR) has advanced our knowledge about metabolic dynamics. Before analyzing compounds through modeling or statistical methods, chemical features need to be tracked and quantified. However, because of peak overlap and peak shifting, the available protocols are time consuming at best or even impossible for some regions in NMR spectra. RESULTS We introduce Ridge Tracking-based Extract (RTExtract), a computer vision-based algorithm, to quantify time-series NMR spectra. The NMR spectra of multiple time points were formulated as a 3D surface. Candidate points were first filtered using local curvature and optima, then connected into ridges by a greedy algorithm. Interactive steps were implemented to refine results. Among 173 simulated ridges, 115 can be tracked (RMSD < 0.001). For reproducing previous results, RTExtract took less than 2 h instead of ∼48 h, and two instead of seven parameters need tuning. Multiple regions with overlapping and changing chemical shifts are accurately tracked. AVAILABILITY AND IMPLEMENTATION Source code is freely available within Metabolomics toolbox GitHub repository (https://github.com/artedison/Edison_Lab_Shared_Metabolomics_UGA/tree/master/metabolomics_toolbox/code/ridge_tracking) and is implemented in MATLAB and R. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Yue Wu
- Institute of Bioinformatics
| | | | | | | | - Arthur S Edison
- Institute of Bioinformatics.,Department of Genetics.,Complex Carbohydrate Research Center.,Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, USA
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8
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Moxley-Paquette V, Lane D, Soong R, Ning P, Bastawrous M, Wu B, Pedram MZ, Haque Talukder MA, Ghafar-Zadeh E, Zverev D, Martin R, Macpherson B, Vargas M, Schmidig D, Graf S, Frei T, Al Adwan-Stojilkovic D, De Castro P, Busse F, Bermel W, Kuehn T, Kuemmerle R, Fey M, Decker F, Stronks H, Sullan RMA, Utz M, Simpson AJ. 5-Axis CNC Micromilling for Rapid, Cheap, and Background-Free NMR Microcoils. Anal Chem 2020; 92:15454-15462. [PMID: 33170641 DOI: 10.1021/acs.analchem.0c03126] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The superior mass sensitivity of microcoil technology in nuclear magnetic resonance (NMR) spectroscopy provides potential for the analysis of extremely small-mass-limited samples such as eggs, cells, and tiny organisms. For optimal performance and efficiency, the size of the microcoil should be tailored to the size of the mass-limited sample of interest, which can be costly as mass-limited samples come in many shapes and sizes. Therefore, rapid and economic microcoil production methods are needed. One method with great potential is 5-axis computer numerical control (CNC) micromilling, commonly used in the jewelry industry. Most CNC milling machines are designed to process larger objects and commonly have a precision of >25 μm (making the machining of common spiral microcoils, for example, impossible). Here, a 5-axis MiRA6 CNC milling machine, specifically designed for the jewelry industry, with a 0.3 μm precision was used to produce working planar microcoils, microstrips, and novel microsensor designs, with some tested on the NMR in less than 24 h after the start of the design process. Sample wells could be built into the microsensor and could be machined at the same time as the sensors themselves, in some cases leaving a sheet of Teflon as thin as 10 μm between the sample and the sensor. This provides the freedom to produce a wide array of designs and demonstrates 5-axis CNC micromilling as a versatile tool for the rapid prototyping of NMR microsensors. This approach allowed the experimental optimization of a prototype microstrip for the analysis of two intact adult Daphnia magna organisms. In addition, a 3D volume slotted-tube resonator was produced that allowed for 2D 1H-13C NMR of D. magna neonates and exhibited 1H sensitivity (nLODω600 = 1.49 nmol s1/2) close to that of double strip lines, which themselves offer the best compromise between concentration and mass sensitivity published to date.
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Affiliation(s)
- Vincent Moxley-Paquette
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada
| | - Daniel Lane
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada
| | - Ronald Soong
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada
| | - Paris Ning
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada
| | - Monica Bastawrous
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada
| | - Bing Wu
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada
| | - Maysam Zamani Pedram
- Lassonde School of Engineering, York University, 4700 Keele Street, North York, Ontario, M3J 1P3, Canada.,Faculty of Medicine, Department of Radiology, University of British Columbia, Vancouver, British Columbia, V6T 1Z3, Canada
| | - Md Aminul Haque Talukder
- Lassonde School of Engineering, York University, 4700 Keele Street, North York, Ontario, M3J 1P3, Canada
| | - Ebrahim Ghafar-Zadeh
- Lassonde School of Engineering, York University, 4700 Keele Street, North York, Ontario, M3J 1P3, Canada
| | - Dimitri Zverev
- NSCNC Manufacturing Ltd., 1515 Broadway Street Unit 607, Port Coquitlam, British Columbia, V3C 6M2, Canada
| | - Richard Martin
- IMicrosolder, 57 Marshall Street West, Meaford, Ontario, N4L 1E4, Canada
| | - Bob Macpherson
- Apogee Steel Fabrication Inc., 3600 Erindale Station Road, Mississauga, Ontario, L5C 2T1, Canada
| | - Mike Vargas
- Apogee Steel Fabrication Inc., 3600 Erindale Station Road, Mississauga, Ontario, L5C 2T1, Canada
| | - Daniel Schmidig
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Stephan Graf
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Thomas Frei
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | | | - Peter De Castro
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Falko Busse
- Bruker Biospin GmbH, Silberstreifen 4, 76287 Rheinstetten, Germany
| | - Wolfgang Bermel
- Bruker Biospin GmbH, Silberstreifen 4, 76287 Rheinstetten, Germany
| | - Till Kuehn
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Rainer Kuemmerle
- Bruker BioSpin AG, Industriestrasse 26, 8117 Fällanden, Switzerland
| | - Michael Fey
- Bruker Corporation, 15 Fortune Drive, Billerica, Massachusetts 01821-3991, United States
| | - Frank Decker
- Bruker Biospin GmbH, Silberstreifen 4, 76287 Rheinstetten, Germany
| | - Henry Stronks
- Bruker Canada Ltd., 2800 High Point Drive, Milton, Ontario L9T 6P4, Canada
| | - Ruby May A Sullan
- Department of Physical and Environmental Science, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada
| | - Marcel Utz
- School of Chemistry, University of Southampton, Southampton SO17 1BJ, U.K
| | - André J Simpson
- Environmental NMR Center, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada.,Department of Physical and Environmental Science, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada
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9
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Inverse or direct detect experiments and probes: Which are “best” for in-vivo NMR research of 13C enriched organisms? Anal Chim Acta 2020; 1138:168-180. [DOI: 10.1016/j.aca.2020.09.065] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 09/11/2020] [Accepted: 09/30/2020] [Indexed: 01/09/2023]
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10
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Ghosh Biswas R, Fortier-McGill B, Akhter M, Soong R, Ning P, Bastawrous M, Jenne A, Schmidig D, De Castro P, Graf S, Kuehn T, Busse F, Struppe J, Fey M, Heumann H, Boenisch H, Gundy M, Simpson MJ, Simpson AJ. Ex vivo Comprehensive Multiphase NMR of whole organisms: A complementary tool to in vivo NMR. Anal Chim Acta X 2020; 6:100051. [PMID: 33392494 PMCID: PMC7772632 DOI: 10.1016/j.acax.2020.100051] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/29/2020] [Accepted: 06/23/2020] [Indexed: 12/15/2022] Open
Abstract
Nuclear Magnetic Resonance (NMR) spectroscopy is a non-invasive analytical technique which allows for the study of intact samples. Comprehensive Multiphase NMR (CMP-NMR) combines techniques and hardware from solution state and solid state NMR to allow for the holistic analysis of all phases (i.e. solutions, gels and solids) in unaltered samples. This study is the first to apply CMP-NMR to deceased, intact organisms and uses 13C enriched Daphnia magna (water fleas) as an example. D. magna are commonly used model organisms for environmental toxicology studies. As primary consumers, they are responsible for the transfer of nutrients across trophic levels, and a decline in their population can potentially impact the entire freshwater aquatic ecosystem. Though in vivo research is the ultimate tool to understand an organism’s most biologically relevant state, studies are limited by conditions (i.e. oxygen requirements, limited experiment time and reduced spinning speed) required to keep the organisms alive, which can negatively impact the quality of the data collected. In comparison, ex vivo CMP-NMR is beneficial in that; organisms do not need oxygen (eliminating air holes in rotor caps and subsequent evaporation); samples can be spun faster, leading to improved spectral resolution; more biomass per sample can be analyzed; and experiments can be run for longer. In turn, higher quality ex vivo NMR, can provide more comprehensive NMR assignments, which in many cases could be transferred to better understand less resolved in vivo signals. This manuscript is divided into three sections: 1) multiphase spectral editing techniques, 2) detailed metabolic assignments of 2D NMR of 13C enriched D. magna and 3) multiphase biological changes over different life stages, ages and generations of D. magna. In summary, ex vivo CMP-NMR proves to be a very powerful approach to study whole organisms in a comprehensive manner and should provide very complementary information to in vivo based research. Comprehensive Multiphase NMR detects all phases (solid/liquid/gel) in whole samples. Deceased organisms are not subjected to the limitations of in vivo NMR studies. 2D ex vivo NMR offer increased spectral resolution, improving metabolite assignment. Holistic analysis shows biological changes in D. magna over different life stages. Ex vivo NMR can be a complementary tool for in vivo NMR metabolomic studies.
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Affiliation(s)
- Rajshree Ghosh Biswas
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Blythe Fortier-McGill
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Mohammad Akhter
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Ronald Soong
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Paris Ning
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Monica Bastawrous
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Amy Jenne
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - Daniel Schmidig
- Bruker Switzerland AG, Industriestrasse 26, 8117, Fällanden, Switzerland
| | - Peter De Castro
- Bruker Switzerland AG, Industriestrasse 26, 8117, Fällanden, Switzerland
| | - Stephan Graf
- Bruker Switzerland AG, Industriestrasse 26, 8117, Fällanden, Switzerland
| | - Till Kuehn
- Bruker Switzerland AG, Industriestrasse 26, 8117, Fällanden, Switzerland
| | - Falko Busse
- Bruker Biospin GmbH, Silberstreifen 4, 76287, Rheinstetten, Germany
| | - Jochem Struppe
- Bruker Corporation, 15 Fortune Drive, Billerica, MA, 01821-3991, USA
| | - Michael Fey
- Bruker Corporation, 15 Fortune Drive, Billerica, MA, 01821-3991, USA
| | - Hermann Heumann
- Silantes GmbH, Gollierstrasse 70c, D-80339, München, Germany
| | - Holger Boenisch
- Silantes GmbH, Gollierstrasse 70c, D-80339, München, Germany
| | - Marcel Gundy
- Silantes GmbH, Gollierstrasse 70c, D-80339, München, Germany
| | - Myrna J Simpson
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
| | - André J Simpson
- University of Toronto Scarborough, Department of Physical & Environmental Sciences, 1265, Military Trail, M1C 1A4, ON, Canada
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11
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Lane D, Bermel W, Ning P, Jeong TY, Martin R, Soong R, Wu B, Tabatabaei-Anaraki M, Heumann H, Gundy M, Boenisch H, Adamo A, Arhonditsis G, Simpson AJ. Targeting the Lowest Concentration of a Toxin That Induces a Detectable Metabolic Response in Living Organisms: Time-Resolved In Vivo 2D NMR during a Concentration Ramp. Anal Chem 2020; 92:9856-9865. [DOI: 10.1021/acs.analchem.0c01370] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Daniel Lane
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
- Department of Chemistry, University of Toronto, 80 St. George Street, Toronto, ON, Canada M5S 3H6
| | - Wolfgang Bermel
- Bruker BioSpin GmbH, Silberstreifen 4, 76287 Rheinstetten, Germany
| | - Paris Ning
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - Tae-Yong Jeong
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - Richard Martin
- IMicrosolder, 57 Marshall Street West, Meaford, Ontario, Canada N4L 1E4
| | - Ronald Soong
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - Bing Wu
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - Maryam Tabatabaei-Anaraki
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | | | | | | | - Antonio Adamo
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - George Arhonditsis
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - André J. Simpson
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
- Department of Chemistry, University of Toronto, 80 St. George Street, Toronto, ON, Canada M5S 3H6
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12
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Soong R, Liaghati Mobarhan Y, Tabatabaei M, Bastawrous M, Biswas RG, Simpson M, Simpson A. Flow-based in vivo NMR spectroscopy of small aquatic organisms. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2020; 58:411-426. [PMID: 32239577 DOI: 10.1002/mrc.4886] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 03/08/2019] [Accepted: 04/28/2019] [Indexed: 06/11/2023]
Abstract
NMR applied to living organisms is arguably the ultimate tool for understanding environmental stress responses and can provide desperately needed information on toxic mechanisms, synergistic effects, sublethal impacts, recovery, and biotransformation of xenobiotics. To perform in vivo NMR spectroscopy, a flow cell system is required to deliver oxygen and food to the organisms while maintaining optimal line shape for NMR spectroscopy. In this tutorial, two such flow cell systems and their constructions are discussed: (a) a single pump high-volume flow cell design is simple to build and ideal for organisms that do not require feeding (i.e., eggs) and (b) a more advanced low-volume double pump flow cell design that permits feeding, maintains optimal water height for water suppression, improves locking and shimming, and uses only a small recirculating volume, thus reducing the amount of xenobiotic required for testing. In addition, key experimental aspects including isotopic enrichment, water suppression, and 2D experiments for both 13 C enriched and natural abundance organisms are discussed.
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Affiliation(s)
- Ronald Soong
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Yalda Liaghati Mobarhan
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Maryam Tabatabaei
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Monica Bastawrous
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Rajshree Ghosh Biswas
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
- Department of Chemistry, University of Toronto, Toronto, Ontario, Canada
| | - Myrna Simpson
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
- Department of Chemistry, University of Toronto, Toronto, Ontario, Canada
| | - Andre Simpson
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
- Department of Chemistry, University of Toronto, Toronto, Ontario, Canada
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13
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Anaraki MT, Lysak DH, Soong R, Simpson MJ, Spraul M, Bermel W, Heumann H, Gundy M, Boenisch H, Simpson AJ. NMR assignment of the in vivo daphnia magna metabolome. Analyst 2020; 145:5787-5800. [DOI: 10.1039/d0an01280g] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Daphnia (freshwater fleas) are among the most widely used organisms in regulatory aquatic toxicology/ecology, while their recent listing as an NIH model organism is stimulating research for understanding human diseases and processes.
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Affiliation(s)
| | | | - Ronald Soong
- Department of Physical and Environmental Sciences
- University of Toronto Scarborough
- Toronto
- Canada
| | - Myrna J. Simpson
- Department of Physical and Environmental Sciences
- University of Toronto Scarborough
- Toronto
- Canada
- Department of Chemistry
| | | | | | | | | | | | - André J. Simpson
- Department of Physical and Environmental Sciences
- University of Toronto Scarborough
- Toronto
- Canada
- Department of Chemistry
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14
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Lane D, Soong R, Bermel W, Ning P, Dutta Majumdar R, Tabatabaei-Anaraki M, Heumann H, Gundy M, Bönisch H, Liaghati Mobarhan Y, Simpson MJ, Simpson AJ. Selective Amino Acid-Only in Vivo NMR: A Powerful Tool To Follow Stress Processes. ACS OMEGA 2019; 4:9017-9028. [PMID: 31459990 PMCID: PMC6648361 DOI: 10.1021/acsomega.9b00931] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 05/09/2019] [Indexed: 05/24/2023]
Abstract
In vivo NMR of small 13C-enriched aquatic organisms is developing as a powerful tool to detect and explain toxic stress at the biochemical level. Amino acids are a very important category of metabolites for stress detection as they are involved in the vast majority of stress response pathways. As such, they are a useful proxy for stress detection in general, which could then be a trigger for more in-depth analysis of the metabolome. 1H-13C heteronuclear single quantum coherence (HSQC) is commonly used to provide additional spectral dispersion in vivo and permit metabolite assignment. While some amino acids can be assigned from HSQC, spectral overlap makes monitoring them in vivo challenging. Here, an experiment typically used to study protein structures is adapted for the selective detection of amino acids inside living Daphnia magna (water fleas). All 20 common amino acids can be selectively detected in both extracts and in vivo. By monitoring bisphenol-A exposure, the in vivo amino acid-only approach identified larger fluxes in a greater number of amino acids when compared to published works using extracts from whole organism homogenates. This suggests that amino acid-only NMR of living organisms may be a very sensitive tool in the detection of stress in vivo and is highly complementary to more traditional metabolomics-based methods. The ability of selective NMR experiments to help researchers to "look inside" living organisms and only detect specific molecules of interest is quite profound and paves the way for the future development of additional targeted experiments for in vivo research and monitoring.
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Affiliation(s)
- Daniel Lane
- Environmental
NMR Centre, Department of Physical and Environmental Science, University of Toronto, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - Ronald Soong
- Environmental
NMR Centre, Department of Physical and Environmental Science, University of Toronto, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - Wolfgang Bermel
- Bruker
BioSpin GmbH, Silberstreifen 4, Rheinstetten, Germany
| | - Paris Ning
- Environmental
NMR Centre, Department of Physical and Environmental Science, University of Toronto, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - Rudraksha Dutta Majumdar
- Environmental
NMR Centre, Department of Physical and Environmental Science, University of Toronto, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
- Bruker
Canada Ltd, 2800 High
Point Drive, Milton, Ontario, Canada L9T 6P4
| | - Maryam Tabatabaei-Anaraki
- Environmental
NMR Centre, Department of Physical and Environmental Science, University of Toronto, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | | | | | | | - Yalda Liaghati Mobarhan
- Environmental
NMR Centre, Department of Physical and Environmental Science, University of Toronto, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - Myrna J. Simpson
- Environmental
NMR Centre, Department of Physical and Environmental Science, University of Toronto, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
| | - André J. Simpson
- Environmental
NMR Centre, Department of Physical and Environmental Science, University of Toronto, 1265 Military Trail, Toronto, ON, Canada M1C 1A4
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15
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Judge MT, Wu Y, Tayyari F, Hattori A, Glushka J, Ito T, Arnold J, Edison AS. Continuous in vivo Metabolism by NMR. Front Mol Biosci 2019; 6:26. [PMID: 31114791 PMCID: PMC6502900 DOI: 10.3389/fmolb.2019.00026] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 04/04/2019] [Indexed: 01/10/2023] Open
Abstract
Dense time-series metabolomics data are essential for unraveling the underlying dynamic properties of metabolism. Here we extend high-resolution-magic angle spinning (HR-MAS) to enable continuous in vivo monitoring of metabolism by NMR (CIVM-NMR) and provide analysis tools for these data. First, we reproduced a result in human chronic lymphoid leukemia cells by using isotope-edited CIVM-NMR to rapidly and unambiguously demonstrate unidirectional flux in branched-chain amino acid metabolism. We then collected untargeted CIVM-NMR datasets for Neurospora crassa, a classic multicellular model organism, and uncovered dynamics between central carbon metabolism, amino acid metabolism, energy storage molecules, and lipid and cell wall precursors. Virtually no sample preparation was required to yield a dynamic metabolic fingerprint over hours to days at ~4-min temporal resolution with little noise. CIVM-NMR is simple and readily adapted to different types of cells and microorganisms, offering an experimental complement to kinetic models of metabolism for diverse biological systems.
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Affiliation(s)
- Michael T. Judge
- Department of Genetics, University of Georgia, Athens, GA, United States
| | - Yue Wu
- Institute of Bioinformatics, University of Georgia, Athens, GA, United States
| | - Fariba Tayyari
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, United States
| | - Ayuna Hattori
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States
- Division of Hematological Malignancy, National Cancer Center Research Institute, Tokyo, Japan
| | - John Glushka
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, United States
| | - Takahiro Ito
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States
| | - Jonathan Arnold
- Department of Genetics, University of Georgia, Athens, GA, United States
- Institute of Bioinformatics, University of Georgia, Athens, GA, United States
| | - Arthur S. Edison
- Department of Genetics, University of Georgia, Athens, GA, United States
- Institute of Bioinformatics, University of Georgia, Athens, GA, United States
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, United States
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16
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Lane D, Skinner TE, Gershenzon NI, Bermel W, Soong R, Dutta Majumdar R, Liaghati Mobarhan Y, Schmidt S, Heumann H, Monette M, Simpson MJ, Simpson AJ. Assessing the potential of quantitative 2D HSQC NMR in 13C enriched living organisms. JOURNAL OF BIOMOLECULAR NMR 2019; 73:31-42. [PMID: 30600417 DOI: 10.1007/s10858-018-0221-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 12/17/2018] [Indexed: 05/22/2023]
Abstract
In vivo Nuclear Magnetic Resonance (NMR) spectroscopy has great potential to interpret the biochemical response of organisms to their environment, thus making it an essential tool in understanding toxic mechanisms. However, magnetic susceptibility distortions lead to 1D NMR spectra of living organisms with lines that are too broad to identify and quantify metabolites, necessitating the use of 2D 1H-13C Heteronuclear Single Quantum Coherence (HSQC) as a primary tool. While quantitative 2D HSQC is well established, to our knowledge it has yet to be applied in vivo. This study represents a simple pilot study that compares two of the most popular quantitative 2D HSQC approaches to determine if quantitative results can be directly obtained in vivo in isotopically enriched Daphnia magna (water flea). The results show the perfect-HSQC experiment performs very well in vivo, but the decoupling scheme used is critical for accurate quantitation. An improved decoupling approach derived using optimal control theory is presented here that improves the accuracy of metabolite concentrations that can be extracted in vivo down to micromolar concentrations. When combined with 2D Electronic Reference To access In vivo Concentrations (ERETIC) protocols, the protocol allows for the direct extraction of in vivo metabolite concentrations without the use of internal standards that can be detrimental to living organisms. Extracting absolute metabolic concentrations in vivo is an important first step and should, for example, be important for the parameterization as well as the validation of metabolic flux models in the future.
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Affiliation(s)
- Daniel Lane
- Environmental NMR Centre, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, M1C 1A4, Canada
| | - Thomas E Skinner
- Department of Physics, Wright State University, Dayton, OH, 45735, USA
| | - Naum I Gershenzon
- Department of Physics, Wright State University, Dayton, OH, 45735, USA
| | - Wolfgang Bermel
- Bruker BioSpin GmbH, Silberstreifen 4, Rheinstetten, Germany
| | - Ronald Soong
- Environmental NMR Centre, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, M1C 1A4, Canada
| | - Rudraksha Dutta Majumdar
- Environmental NMR Centre, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, M1C 1A4, Canada
- Bruker Ltd., 2800 Highpoint Drive, Milton, ON, L9T 6P4, Canada
| | - Yalda Liaghati Mobarhan
- Environmental NMR Centre, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, M1C 1A4, Canada
| | | | | | - Martine Monette
- Bruker Ltd., 2800 Highpoint Drive, Milton, ON, L9T 6P4, Canada
| | - Myrna J Simpson
- Environmental NMR Centre, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, M1C 1A4, Canada
| | - André J Simpson
- Environmental NMR Centre, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, M1C 1A4, Canada.
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17
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Tabatabaei Anaraki M, Bermel W, Dutta Majumdar R, Soong R, Simpson M, Monnette M, Simpson AJ. 1D "Spikelet" Projections from Heteronuclear 2D NMR Data-Permitting 1D Chemometrics While Preserving 2D Dispersion. Metabolites 2019; 9:metabo9010016. [PMID: 30654443 PMCID: PMC6358932 DOI: 10.3390/metabo9010016] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 01/08/2019] [Accepted: 01/09/2019] [Indexed: 12/19/2022] Open
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for the non-targeted metabolomics of intact biofluids and even living organisms. However, spectral overlap can limit the information that can be obtained from 1D 1H NMR. For example, magnetic susceptibility broadening in living organisms prevents any metabolic information being extracted from solution-state 1D 1H NMR. Conversely, the additional spectral dispersion afforded by 2D 1H-13C NMR allows a wide range of metabolites to be assigned in-vivo in 13C enriched organisms, as well as a greater depth of information for biofluids in general. As such, 2D 1H-13C NMR is becoming more and more popular for routine metabolic screening of very complex samples. Despite this, there are only a very limited number of statistical software packages that can handle 2D NMR datasets for chemometric analysis. In comparison, a wide range of commercial and free tools are available for analysis of 1D NMR datasets. Overtime, it is likely more software solutions will evolve that can handle 2D NMR directly. In the meantime, this application note offers a simple alternative solution that converts 2D 1H-13C Heteronuclear Single Quantum Correlation (HSQC) data into a 1D “spikelet” format that preserves not only the 2D spectral information, but also the 2D dispersion. The approach allows 2D NMR data to be converted into a standard 1D Bruker format that can be read by software packages that can only handle 1D NMR data. This application note uses data from Daphnia magna (water fleas) in-vivo to demonstrate how to generate and interpret the converted 1D spikelet data from 2D datasets, including the code to perform the conversion on Bruker spectrometers.
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Affiliation(s)
- Maryam Tabatabaei Anaraki
- Environmental NMR Center, Department of Physical and Environmental Sciences, University of Toronto Scarborough, Military Trial, Toronto, ON 1265, Canada.
| | - Wolfgang Bermel
- Bruker BioSpin GmbH, Silberstreifen 4, 76287 Rheinstetten, Germany.
| | | | - Ronald Soong
- Environmental NMR Center, Department of Physical and Environmental Sciences, University of Toronto Scarborough, Military Trial, Toronto, ON 1265, Canada.
| | - Myrna Simpson
- Environmental NMR Center, Department of Physical and Environmental Sciences, University of Toronto Scarborough, Military Trial, Toronto, ON 1265, Canada.
- Department of Chemistry, University of Toronto, 80 St. George Street, Toronto, ON M1C 1A4, Canada.
| | | | - André J Simpson
- Environmental NMR Center, Department of Physical and Environmental Sciences, University of Toronto Scarborough, Military Trial, Toronto, ON 1265, Canada.
- Department of Chemistry, University of Toronto, 80 St. George Street, Toronto, ON M1C 1A4, Canada.
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