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Gelpí E. Reminiscences of a career in mass spectrometry in the US and in Spain. MASS SPECTROMETRY REVIEWS 2024; 43:915-935. [PMID: 39105467 DOI: 10.1002/mas.21803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 07/28/2022] [Accepted: 08/07/2022] [Indexed: 08/07/2024]
Affiliation(s)
- Emilio Gelpí
- Emeritus Professor, Spanish Research Council (CSIC), Madrid, Spain
- Past Director, Instituto de Investigaciones Biomédicas de Barcelona, Barcelona, Spain
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2
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Gelpí E. Reminiscences of a career in mass spectrometry in the US and in Spain. MASS SPECTROMETRY REVIEWS 2022:e21803. [PMID: 35960250 DOI: 10.1002/.21803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 07/28/2022] [Accepted: 08/07/2022] [Indexed: 06/15/2023]
Affiliation(s)
- Emilio Gelpí
- Emeritus Professor, Spanish Research Council (CSIC), Madrid, Spain
- Past Director, Instituto de Investigaciones Biomédicas de Barcelona, Barcelona, Spain
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3
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Borges R, Colby SM, Das S, Edison AS, Fiehn O, Kind T, Lee J, Merrill AT, Merz KM, Metz TO, Nunez JR, Tantillo DJ, Wang LP, Wang S, Renslow RS. Quantum Chemistry Calculations for Metabolomics. Chem Rev 2021; 121:5633-5670. [PMID: 33979149 PMCID: PMC8161423 DOI: 10.1021/acs.chemrev.0c00901] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Indexed: 02/07/2023]
Abstract
A primary goal of metabolomics studies is to fully characterize the small-molecule composition of complex biological and environmental samples. However, despite advances in analytical technologies over the past two decades, the majority of small molecules in complex samples are not readily identifiable due to the immense structural and chemical diversity present within the metabolome. Current gold-standard identification methods rely on reference libraries built using authentic chemical materials ("standards"), which are not available for most molecules. Computational quantum chemistry methods, which can be used to calculate chemical properties that are then measured by analytical platforms, offer an alternative route for building reference libraries, i.e., in silico libraries for "standards-free" identification. In this review, we cover the major roadblocks currently facing metabolomics and discuss applications where quantum chemistry calculations offer a solution. Several successful examples for nuclear magnetic resonance spectroscopy, ion mobility spectrometry, infrared spectroscopy, and mass spectrometry methods are reviewed. Finally, we consider current best practices, sources of error, and provide an outlook for quantum chemistry calculations in metabolomics studies. We expect this review will inspire researchers in the field of small-molecule identification to accelerate adoption of in silico methods for generation of reference libraries and to add quantum chemistry calculations as another tool at their disposal to characterize complex samples.
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Affiliation(s)
- Ricardo
M. Borges
- Walter
Mors Institute of Research on Natural Products, Federal University of Rio de Janeiro, Rio de Janeiro 21941-901, Brazil
| | - Sean M. Colby
- Biological
Science Division, Pacific Northwest National
Laboratory, Richland, Washington 99352, United States
| | - Susanta Das
- Department
of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States
| | - Arthur S. Edison
- Departments
of Genetics and Biochemistry and Molecular Biology, Complex Carbohydrate
Research Center and Institute of Bioinformatics, University of Georgia, Athens, Georgia 30602, United States
| | - Oliver Fiehn
- West
Coast Metabolomics Center for Compound Identification, UC Davis Genome
Center, University of California, Davis, California 95616, United States
| | - Tobias Kind
- West
Coast Metabolomics Center for Compound Identification, UC Davis Genome
Center, University of California, Davis, California 95616, United States
| | - Jesi Lee
- West
Coast Metabolomics Center for Compound Identification, UC Davis Genome
Center, University of California, Davis, California 95616, United States
- Department
of Chemistry, University of California, Davis, California 95616, United States
| | - Amy T. Merrill
- Department
of Chemistry, University of California, Davis, California 95616, United States
| | - Kenneth M. Merz
- Department
of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States
| | - Thomas O. Metz
- Biological
Science Division, Pacific Northwest National
Laboratory, Richland, Washington 99352, United States
| | - Jamie R. Nunez
- Biological
Science Division, Pacific Northwest National
Laboratory, Richland, Washington 99352, United States
| | - Dean J. Tantillo
- Department
of Chemistry, University of California, Davis, California 95616, United States
| | - Lee-Ping Wang
- Department
of Chemistry, University of California, Davis, California 95616, United States
| | - Shunyang Wang
- West
Coast Metabolomics Center for Compound Identification, UC Davis Genome
Center, University of California, Davis, California 95616, United States
- Department
of Chemistry, University of California, Davis, California 95616, United States
| | - Ryan S. Renslow
- Biological
Science Division, Pacific Northwest National
Laboratory, Richland, Washington 99352, United States
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4
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Almeida AM, Ali SA, Ceciliani F, Eckersall PD, Hernández-Castellano LE, Han R, Hodnik JJ, Jaswal S, Lippolis JD, McLaughlin M, Miller I, Mohanty AK, Mrljak V, Nally JE, Nanni P, Plowman JE, Poleti MD, Ribeiro DM, Rodrigues P, Roschitzki B, Schlapbach R, Starič J, Yang Y, Zachut M. Domestic animal proteomics in the 21st century: A global retrospective and viewpoint analysis. J Proteomics 2021; 241:104220. [PMID: 33838350 DOI: 10.1016/j.jprot.2021.104220] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/01/2021] [Accepted: 04/02/2021] [Indexed: 12/12/2022]
Abstract
Animal production and health are of significant economic importance, particularly regarding the world food supply. Animal and veterinary sciences have evolved immensely in the past six decades, particularly in genetics, nutrition, housing, management and health. To address major challenges such as those posed by climate change or metabolic disorders, it is of utmost importance to use state-of-the-art research tools. Proteomics and the other post-genomic tools (transcriptomics or metabolomics) are among them. Proteomics has experienced a considerable development over the last decades. This brought developments to different scientific fields. The use and adoption of proteomics tools in animal and veterinary sciences has some limitations (database availability or access to proteomics platforms and funding). As a result, proteomics' use by animal science researchers varies across the globe. In this viewpoint article, we focus on the developments of domestic animal proteomics over the last decade in different regions of the globe and how the researchers have coped with such challenges. In the second part of the article, we provide examples of funding, educational and laboratory establishment initiatives designed to foster the development of (animal-based) proteomics. International scientific collaboration is a definitive and key feature in the development and advancement of domestic animal proteomics. SIGNIFICANCE: Animal production and health are very important for food supply worldwide particularly as a source of proteinaceous foods. Animal and veterinary sciences have evolved immensely in the last decades. In order to address the major contemporary challenges facing animal and veterinary sciences, it is of utmost importance to use state-of-the-art research tools such as Proteomics and other Omics. Herein, we focus on the major developments in domestic animal proteomics worldwide during the last decade and how different regions of the world have used the technology in this specific research field. We address also major international efforts aiming to increase the research output in this area and highlight the importance of international cooperation to address specific problems inherent to domestic animal proteomics.
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Affiliation(s)
- André M Almeida
- LEAF, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal.
| | - Syed Azmal Ali
- Proteomics and Cell Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal 132001, Haryana, India
| | - Fabrizio Ceciliani
- Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 20133 Milano, Italy
| | - P David Eckersall
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G61 1QH, United Kingdom
| | - Lorenzo E Hernández-Castellano
- Department of Animal Science, AU-Foulum, Aarhus University, 8830 Tjele, Denmark; Animal Production and Biotechnology group, Institute of Animal Health and Food Safety, Universidad de Las Palmas de Gran Canaria, 35413 Arucas, Spain
| | - Rongwei Han
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Jaka J Hodnik
- Veterinary Faculty, Clinic for Reproduction and Large Animals - Section for Ruminants, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Shalini Jaswal
- Proteomics and Cell Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal 132001, Haryana, India
| | - John D Lippolis
- Ruminant Diseases and Immunology Research Unit, USDA, Agricultural Research Service, National Animal Disease Center, Ames, Iowa 50010, United States
| | - Mark McLaughlin
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G61 1QH, United Kingdom
| | - Ingrid Miller
- Institute of Medical Biochemistry, University of Veterinary Medicine, Veterinaerplatz 1, A-1210 Vienna, Austria
| | - Ashok Kumar Mohanty
- Proteomics and Cell Biology Lab, Animal Biotechnology Center, National Dairy Research Institute, Karnal 132001, Haryana, India
| | - Vladimir Mrljak
- ERA Chair FP7, Internal Diseases Clinic, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
| | - Jarlath E Nally
- Ruminant Diseases and Immunology Research Unit, USDA, Agricultural Research Service, National Animal Disease Center, Ames, Iowa 50010, United States
| | - Paolo Nanni
- Functional Genomics Center Zurich, Swiss Federal Institute of Technology ETH Zurich / University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland
| | | | - Mirele D Poleti
- FZEA - Faculty of Animal Science and Food Engineering, University of São Paulo, Avenida Duque de Caxias Norte - 225, 13635-900 Pirassununga, SP, Brazil
| | - David M Ribeiro
- LEAF, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal
| | - Pedro Rodrigues
- CCMAR - Centre of Marine Sciences of Algarve, University of Algarve, Campus de Gambelas, 8005-139 Faro, Portugal
| | - Bernd Roschitzki
- Functional Genomics Center Zurich, Swiss Federal Institute of Technology ETH Zurich / University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland
| | - Ralph Schlapbach
- Functional Genomics Center Zurich, Swiss Federal Institute of Technology ETH Zurich / University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland
| | - Jože Starič
- Veterinary Faculty, Clinic for Reproduction and Large Animals - Section for Ruminants, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Yongxin Yang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Maya Zachut
- Department of Ruminant Science, Institute of Animal Sciences, Agricultural Research Organization/Volcani Center, Rishon Lezion 7505101, Israel
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5
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Downard KM. Protein phylogenetics with mass spectrometry. A comparison of methods. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:1442-1454. [PMID: 33725067 DOI: 10.1039/d1ay00153a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Advances in protein mass spectrometry have provided the ability to identify and sequence proteins with unprecedented speed, sensitivity and accuracy. These benefits now offer advantages for studies of protein evolution and phylogeny avoiding the need to generate and align DNA sequences which can prove time consuming, costly and difficult in the case of large genomes and for highly diverse organisms. The methods of phylogenetic analysis using protein mass spectrometry can be classified into three categories: (1) de novo protein sequencing followed by multiple sequence alignment for classical phylogenetic reconstruction, (2) direct phylogenetic reconstruction using expressed protein mass profiles exploited in microbial biotyping applications, and (3) the construction of trees using proteolytic peptide mass map or fingerprint data. This review describes the three approaches together with the relevant tools and algorithms required to implement them. It also compares each of these alternative protein based methods alongside conventional gene sequence based phylogenetics.
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Affiliation(s)
- Kevin M Downard
- Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW 2031, Australia.
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6
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Olate VR, Nachtigall FM, Santos LS, Soto A, Araya M, Oyanedel S, Díaz V, Marchant V, Rios-Momberg M. Fast detection of Piscirickettsia salmonis in Salmo salar serum through MALDI-TOF-MS profiling. JOURNAL OF MASS SPECTROMETRY : JMS 2016; 51:200-206. [PMID: 26956387 DOI: 10.1002/jms.3734] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Revised: 11/03/2015] [Accepted: 11/06/2015] [Indexed: 06/05/2023]
Abstract
Piscirickettsia salmonis is a pathogenic bacteria known as the aetiological agent of the salmonid rickettsial syndrome and causes a high mortality in farmed salmonid fishes. Detection of P. salmonis in farmed fishes is based mainly on molecular biology and immunohistochemistry techniques. These techniques are in most of the cases expensive and time consuming. In the search of new alternatives to detect the presence of P. salmonis in salmonid fishes, this work proposed the use of MALDI-TOF-MS to compare serum protein profiles from Salmo salar fish, including experimentally infected and non-infected fishes using principal component analysis (PCA). Samples were obtained from a controlled bioassay where S. salar was challenged with P. salmonis in a cohabitation model and classified according to the presence or absence of the bacteria by real time PCR analysis. MALDI spectra of the fish serum samples showed differences in its serum protein composition. These differences were corroborated with PCA analysis. The results demonstrated that the use of both MALDI-TOF-MS and PCA represents a useful tool to discriminate the fish status through the analysis of salmonid serum samples.
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Affiliation(s)
- Verónica R Olate
- Instituto de Química de Recursos Naturales, Universidad de Talca, Talca, Chile
| | | | - Leonardo S Santos
- Instituto de Química de Recursos Naturales, Universidad de Talca, Talca, Chile
- División Nanobiotecnología, Fraunhofer Chile Research, Talca, Chile
| | - Alex Soto
- Instituto de Matemáticas y Física, Universidad de Talca, Talca, Chile
| | - Macarena Araya
- Laboratorio de Biotecnología en Acuicultura, Fraunhofer Chile, Bahía Quillaipe, Puerto Montt, Chile
| | | | - Verónica Díaz
- Fundación Chile, Bahía Quillaipe, Puerto Montt, Chile
| | - Vanessa Marchant
- Laboratorio de Biotecnología en Acuicultura, Fraunhofer Chile, Bahía Quillaipe, Puerto Montt, Chile
| | - Mauricio Rios-Momberg
- Laboratorio de Biotecnología en Acuicultura, Fraunhofer Chile, Bahía Quillaipe, Puerto Montt, Chile
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7
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Abstract
Mass spectrometry (MS) is an analytical technique that measures the mass-to-charge ratio of electrically charged gas-phase particles. All mass spectrometers combine ion formation, mass analysis, and ion detection. Although mass analyzers can be regarded as sophisticated devices that manipulate ions in space and time, the rich diversity of possible ways to combine ion separation, focusing, and detection in dynamic mass spectrometers accounts for the large number of instrument designs. A historical perspective of the progress in mass spectrometry that since 1965 until today have contributed to position this technique as an indispensable tool for biological research has been recently addressed by a privileged witness of this golden age of MS (Gelpí J. Mass Spectrom 43:419-435, 2008; Gelpí J. Mass Spectrom 44:1137-1161, 2008). The aim of this chapter is to highlight the view that the operational principles of mass spectrometry can be understood by a simple mathematical language, and that an understanding of the basic concepts of mass spectrometry is necessary to take the most out of this versatile technique.
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Affiliation(s)
- Juan J Calvete
- Instituto de Biomedicina de Valencia, CSIC, Valencia, Spain
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8
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Abstract
Proteins provide the verbs to biology, and proteomics provides the nouns for their analytical and discovery-driven studies. The term proteomics was coined in the 1990s and deals with the protein complement of the genome-the proteome. Following the classical proteomics era, the development of new mass spectrometric methods for peptide analysis permitted the identification of proteins in peptide mixtures obtained by proteolytic digestion of complex samples, e.g., shotgun proteomics. Since its introduction, shotgun proteomics became the standard technique for the analysis of protein hydrolyzates in a high-throughput way. In this chapter, we provide a survey in shotgun proteomics highlighting instruments and techniques used in modern second and third proteomics generation.
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Affiliation(s)
- Fabio Cesar Sousa Nogueira
- Proteomics Unit, Institute of Chemistry, Federal University of Rio de Janeiro (UFRJ), Av Athos da Silveira Ramos, 149 Bloco A - sala 542 Cidade Universitária, 21941-909, Rio de Janeiro, RJ, Brazil
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9
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Forstenlehner IC, Holzmann J, Scheffler K, Wieder W, Toll H, Huber CG. A direct-infusion- and HPLC-ESI-Orbitrap-MS approach for the characterization of intact PEGylated proteins. Anal Chem 2013; 86:826-34. [PMID: 24308604 DOI: 10.1021/ac403390y] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The characterization of proteins modified with poly(ethylene glycol) (PEG), such as recombinant human granulocyte-colony stimulating factor (PEGylated rhG-CSF or pegfilgrastim), by electrospray ionization-mass spectrometry (ESI-MS) constitutes a challenge due to the overlapping protein charge state pattern and PEG polydispersity. In order to minimize spectral overlaps, charge reduction by means of the addition of amine was applied. Method development for direct-infusion measurements, carried out on an ESI-time-of-flight (ESI-TOF) instrument, demonstrated the potential of triethylamine (TEA) for shifting the charge state pattern toward lower-charged species and of formic acid (FA) for causing higher charging. After successful method transfer to the LTQ Orbitrap XL instrument, isotopically resolved mass spectra could be acquired. With a median mass accuracy of 1.26 ppm, a number-average monoisotopic molecular mass of 40074.64 Da was determined for pegfilgrastim. The direct comparison of three Orbitrap mass spectrometers, namely the LTQ Orbitrap XL, the Exactive, and the Q Exactive, demonstrated that online interfacing to high performance liquid chromatography (HPLC) was only feasible with the Q Exactive, which offers adequate spectral quality on a time scale compatible with chromatographic separation (i.e., 0.2 min acquisition time per chromatographic peak). Finally, the applicability of both direct-infusion Orbitrap MS and HPLC interfaced to Orbitrap MS was demonstrated for the detection of methionine oxidation in pegfilgrastim. Singly, doubly, and triply oxidized species were readily resolved in the chromatogram, while their oxidation status was easily determined from the mass shifts observed in the deconvoluted mass spectra.
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Affiliation(s)
- Ines C Forstenlehner
- Department of Molecular Biology, Division of Chemistry and Bioanalytics, University of Salzburg , Hellbrunnerstrasse 34, 5020 Salzburg, Austria
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10
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Dunham WH, Mullin M, Gingras AC. Affinity-purification coupled to mass spectrometry: basic principles and strategies. Proteomics 2012; 12:1576-90. [PMID: 22611051 DOI: 10.1002/pmic.201100523] [Citation(s) in RCA: 234] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Identifying the interactions established by a protein of interest can be a critical step in understanding its function. This is especially true when an unknown protein of interest is demonstrated to physically interact with proteins of known function. While many techniques have been developed to characterize protein-protein interactions, one strategy that has gained considerable momentum over the past decade for identification and quantification of protein-protein interactions, is affinity-purification followed by mass spectrometry (AP-MS). Here, we briefly review the basic principles used in affinity-purification coupled to mass spectrometry, with an emphasis on tools (both biochemical and computational), which enable the discovery and reporting of high quality protein-protein interactions.
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Affiliation(s)
- Wade H Dunham
- Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
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11
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Abstract
Metabolomics aims at identification and quantitation of small molecules involved in metabolic reactions. LC-MS has enjoyed a growing popularity as the platform for metabolomic studies due to its high throughput, soft ionization, and good coverage of metabolites. The success of a LC-MS-based metabolomic study often depends on multiple experimental, analytical, and computational steps. This review presents a workflow of a typical LC-MS-based metabolomic analysis for identification and quantitation of metabolites indicative of biological/environmental perturbations. Challenges and current solutions in each step of the workflow are reviewed. The review intends to help investigators understand the challenges in metabolomic studies and to determine appropriate experimental, analytical, and computational methods to address these challenges.
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Affiliation(s)
- Bin Zhou
- Lombardi Comprehensive Cancer Center, Georgetown University, 4000 Reservoir Rd., NW, Washington, DC 20057, USA. Fax: 202-687-0227; Tel: 202-687-2283
| | - Jun Feng Xiao
- Lombardi Comprehensive Cancer Center, Georgetown University, 4000 Reservoir Rd., NW, Washington, DC 20057, USA. Fax: 202-687-0227; Tel: 202-687-2283
| | - Leepika Tuli
- Lombardi Comprehensive Cancer Center, Georgetown University, 4000 Reservoir Rd., NW, Washington, DC 20057, USA. Fax: 202-687-0227; Tel: 202-687-2283
| | - Habtom W. Ressom
- Lombardi Comprehensive Cancer Center, Georgetown University, 4000 Reservoir Rd., NW, Washington, DC 20057, USA. Fax: 202-687-0227; Tel: 202-687-2283
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12
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Kind T, Fiehn O. Advances in structure elucidation of small molecules using mass spectrometry. BIOANALYTICAL REVIEWS 2010; 2:23-60. [PMID: 21289855 PMCID: PMC3015162 DOI: 10.1007/s12566-010-0015-9] [Citation(s) in RCA: 303] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2010] [Accepted: 08/03/2010] [Indexed: 12/22/2022]
Abstract
The structural elucidation of small molecules using mass spectrometry plays an important role in modern life sciences and bioanalytical approaches. This review covers different soft and hard ionization techniques and figures of merit for modern mass spectrometers, such as mass resolving power, mass accuracy, isotopic abundance accuracy, accurate mass multiple-stage MS(n) capability, as well as hybrid mass spectrometric and orthogonal chromatographic approaches. The latter part discusses mass spectral data handling strategies, which includes background and noise subtraction, adduct formation and detection, charge state determination, accurate mass measurements, elemental composition determinations, and complex data-dependent setups with ion maps and ion trees. The importance of mass spectral library search algorithms for tandem mass spectra and multiple-stage MS(n) mass spectra as well as mass spectral tree libraries that combine multiple-stage mass spectra are outlined. The successive chapter discusses mass spectral fragmentation pathways, biotransformation reactions and drug metabolism studies, the mass spectral simulation and generation of in silico mass spectra, expert systems for mass spectral interpretation, and the use of computational chemistry to explain gas-phase phenomena. A single chapter discusses data handling for hyphenated approaches including mass spectral deconvolution for clean mass spectra, cheminformatics approaches and structure retention relationships, and retention index predictions for gas and liquid chromatography. The last section reviews the current state of electronic data sharing of mass spectra and discusses the importance of software development for the advancement of structure elucidation of small molecules. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12566-010-0015-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tobias Kind
- Genome Center–Metabolomics, University of California Davis, Davis, CA 95616 USA
| | - Oliver Fiehn
- Genome Center–Metabolomics, University of California Davis, Davis, CA 95616 USA
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