201
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Mattei B, Sabatini S, Schininà ME. Proteomics in deciphering the auxin commitment in the Arabidopsis thaliana root growth. J Proteome Res 2013; 12:4685-701. [PMID: 24032454 DOI: 10.1021/pr400697s] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
The development of plant root systems is characterized by a high plasticity, made possible by the continual propagation of new meristems. Root architecture is fundamental for overall plant growth, abiotic stress resistance, nutrient uptake, and response to environmental changes. Understanding the function of genes and proteins that control root architecture and stress resistance will contribute to the development of more sustainable systems of intensified crop production. To meet these challenges, proteomics provide the genome-wide scale characterization of protein expression pattern, subcellular localization, post-translational modifications, activity regulation, and molecular interactions. In this review, we describe a variety of proteomic strategies that have been applied to study the proteome of the whole organ and of specific cell types during root development. Each has advantages and limitations, but collectively they are providing important insights into the mechanisms by which auxin structures and patterns the root system and into the interplay between signaling networks, auxin transport and growth. The acquisition of proteomic, transcriptomic, and metabolomic data sets of the root apex on the cell scale has revealed the high spatial complexity of regulatory networks and fosters the use of new powerful proteomic tools for a full understanding of the control of root developmental processes and environmental responses.
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Affiliation(s)
- Benedetta Mattei
- Department Biology and Biotechnology, Sapienza University of Rome , Via dei Sardi 70, 00185 Rome, Italy
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202
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Klepárník K, Foret F. Recent advances in the development of single cell analysis--a review. Anal Chim Acta 2013; 800:12-21. [PMID: 24120162 DOI: 10.1016/j.aca.2013.09.004] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2013] [Revised: 08/23/2013] [Accepted: 09/05/2013] [Indexed: 01/12/2023]
Abstract
Development of techniques for the analysis of the content of individual cells represents an important direction in modern bioanalytical chemistry. While the analysis of chromosomes, organelles, or location of selected proteins has been traditionally the domain of microscopic techniques, the advances in miniaturized analytical systems bring new possibilities for separations and detections of molecules inside the individual cells including smaller molecules such as hormones or metabolites. It should be stressed that the field of single cell analysis is very broad, covering advanced optical, electrochemical and mass spectrometry instrumentation, sensor technology and separation techniques. The number of papers published on single cell analysis has reached several hundred in recent years. Thus a complete literature coverage is beyond the limits of a journal article. The following text provides a critical overview of some of the latest developments with the main focus on mass spectrometry, microseparation methods, electrophoresis in capillaries and microfluidic devices and respective detection techniques for performing single cell analyses.
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Affiliation(s)
- Karel Klepárník
- Institute of Analytical Chemistry, Academy of Sciences of the Czech Republic, Brno, Czech Republic.
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203
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Passarelli MK, Ewing AG. Single-cell imaging mass spectrometry. Curr Opin Chem Biol 2013; 17:854-9. [PMID: 23948695 DOI: 10.1016/j.cbpa.2013.07.017] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2013] [Revised: 07/03/2013] [Accepted: 07/03/2013] [Indexed: 10/26/2022]
Abstract
Single-cell imaging mass spectrometry (IMS) is a powerful technique used to map the distributions of endogenous biomolecules with subcellular resolution. Currently, secondary ion mass spectrometry is the predominant technique for single-cell IMS, thanks to its submicron lateral resolution and surface sensitivity. However, recent methodological and technological developments aimed at improving the spatial resolution of matrix assisted laser desorption ionization (MALDI) have made this technique a potential platform of single-cell IMS. MALDI opens the field of single-cell IMS to new possibilities, including single cell proteomic imaging and atmospheric pressure analyses; however, sensitivity is a challenge. In this report, we estimate the availability of proteins and lipids in a single cell and discuss strategies employed to improve sensitivity at the single-cell level.
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204
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Lietz CB, Gemperline E, Li L. Qualitative and quantitative mass spectrometry imaging of drugs and metabolites. Adv Drug Deliv Rev 2013; 65:1074-85. [PMID: 23603211 DOI: 10.1016/j.addr.2013.04.009] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2012] [Revised: 03/27/2013] [Accepted: 04/09/2013] [Indexed: 12/26/2022]
Abstract
Mass spectrometric imaging (MSI) has rapidly increased its presence in the pharmaceutical sciences. While quantitative whole-body autoradiography and microautoradiography are the traditional techniques for molecular imaging of drug delivery and metabolism, MSI provides advantageous specificity that can distinguish the parent drug from metabolites and modified endogenous molecules. This review begins with the fundamentals of MSI sample preparation/ionization, and then moves on to both qualitative and quantitative applications with special emphasis on drug discovery and delivery. Cutting-edge investigations on sub-cellular imaging and endogenous signaling peptides are also highlighted, followed by perspectives on emerging technology and the path for MSI to become a routine analysis technique.
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205
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Weaver EM, Hummon AB. Imaging mass spectrometry: from tissue sections to cell cultures. Adv Drug Deliv Rev 2013; 65:1039-55. [PMID: 23571020 DOI: 10.1016/j.addr.2013.03.006] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Revised: 03/18/2013] [Accepted: 03/18/2013] [Indexed: 12/31/2022]
Abstract
Imaging mass spectrometry (IMS) has been a useful tool for investigating protein, peptide, drug and metabolite distributions in human and animal tissue samples for almost 15years. The major advantages of this method include a broad mass range, the ability to detect multiple analytes in a single experiment without the use of labels and the preservation of biologically relevant spatial information. Currently the majority of IMS experiments are based on imaging animal tissue sections or small tumor biopsies. An alternative method currently being developed is the application of IMS to three-dimensional cell and tissue culture systems. With new advances in tissue culture and engineering, these model systems are able to provide increasingly accurate, high-throughput and cost-effective models that recapitulate important characteristics of cell and tissue growth in vivo. This review will describe the most recent advances in IMS technology and the bright future of applying IMS to the field of three-dimensional cell and tissue culture.
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206
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de Rijke E, Hooijerink D, Sterk SS, Nielen MW. Confirmation and 3D profiling of anabolic steroid esters in injection sites using imaging desorption electrospray ionisation (DESI) mass spectrometry. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2013; 30:1012-9. [DOI: 10.1080/19440049.2013.794307] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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207
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Kumano S, Sugiyama M, Yamada M, Nishimura K, Hasegawa H, Morokuma H, Inoue H, Hashimoto Y. Development of a Portable Mass Spectrometer Characterized by Discontinuous Sample Gas Introduction, a Low-Pressure Dielectric Barrier Discharge Ionization Source, and a Vacuumed Headspace Technique. Anal Chem 2013; 85:5033-9. [DOI: 10.1021/ac4002904] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Affiliation(s)
- Shun Kumano
- Hitachi, Ltd., Central Research Laboratory, Kokubunji, Japan
| | | | | | | | - Hideki Hasegawa
- Hitachi, Ltd., Central Research Laboratory, Kokubunji, Japan
| | | | - Hiroyuki Inoue
- National Research Institute of Police Science, Kashiwa, Japan
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208
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Perry RH, Bellovin DI, Shroff EH, Ismail AI, Zabuawala T, Felsher DW, Zare RN. Characterization of MYC-induced tumorigenesis by in situ lipid profiling. Anal Chem 2013; 85:4259-62. [PMID: 23560736 PMCID: PMC3773496 DOI: 10.1021/ac400479j] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
We apply desorption electrospray ionization mass spectrometry imaging (DESI-MSI) to provide an in situ lipidomic profile of genetically modified tissues from a conditional transgenic mouse model of MYC-induced hepatocellular carcinoma (HCC). This unique, label-free approach of combining DESI-MSI with the ability to turn specific genes on and off has led to the discovery of highly specific lipid molecules associated with MYC-induced tumor onset. We are able to distinguish normal from MYC-induced malignant cells. Our approach provides a strategy to define a precise molecular picture at a resolution of about 200 μm that may be useful in identifying lipid molecules that define how the MYC oncogene initiates and maintains tumorigenesis.
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Affiliation(s)
- Richard H. Perry
- Department of Chemistry, Stanford University, Stanford, CA 94305-5080, USA
| | - David I. Bellovin
- Division of Oncology, Departments of Medicine and Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Emelyn H. Shroff
- Division of Oncology, Departments of Medicine and Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ali I. Ismail
- Department of Chemistry, Stanford University, Stanford, CA 94305-5080, USA
| | - Tahera Zabuawala
- Division of Oncology, Departments of Medicine and Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Dean W. Felsher
- Division of Oncology, Departments of Medicine and Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Richard N. Zare
- Department of Chemistry, Stanford University, Stanford, CA 94305-5080, USA
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209
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Palmer AD, Bunch J, Styles IB. Randomized Approximation Methods for the Efficient Compression and Analysis of Hyperspectral Data. Anal Chem 2013; 85:5078-86. [DOI: 10.1021/ac400184g] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Andrew D. Palmer
- PSIBS Doctoral Training Centre, ‡School of Chemistry, and §School of Computer Science, University of Birmingham, Edgbaston, United Kingdom
| | - Josephine Bunch
- PSIBS Doctoral Training Centre, ‡School of Chemistry, and §School of Computer Science, University of Birmingham, Edgbaston, United Kingdom
| | - Iain B. Styles
- PSIBS Doctoral Training Centre, ‡School of Chemistry, and §School of Computer Science, University of Birmingham, Edgbaston, United Kingdom
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210
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Cillero-Pastor B, Eijkel GB, Kiss A, Blanco FJ, Heeren RMA. Matrix-assisted laser desorption ionization-imaging mass spectrometry: a new methodology to study human osteoarthritic cartilage. ACTA ACUST UNITED AC 2013; 65:710-20. [PMID: 23280504 DOI: 10.1002/art.37799] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2012] [Accepted: 11/08/2012] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Information about the distribution of proteins and the modulation that they undergo in the different phases of rheumatic pathologies is essential to understanding the development of these diseases. We undertook this study to demonstrate the utility of mass spectrometry (MS)-based molecular imaging for studying the spatial distribution of different components in human articular cartilage sections. METHODS We compared the distribution of peptides and proteins in human control and osteoarthritic (OA) cartilage. Human control and OA cartilage slices were cut and deposited on conductive slides. After tryptic digestion, we performed matrix-assisted laser desorption ionization-imaging MS (MALDI-IMS) experiments in a MALDI-quadrupole time-of-flight mass spectrometer. Protein identification was undertaken with a combination of multivariate statistical methods and Mascot protein database queries. Hematoxylin and eosin staining and immunohistochemistry were performed to validate the results. RESULTS We created maps of peptide distributions at 150-μm raster size from control and OA human cartilage. Proteins such as biglycan, prolargin, decorin, and aggrecan core protein were identified and localized. Specific protein markers for cartilage oligomeric matrix protein and fibronectin were found exclusively in OA cartilage samples. Their distribution displayed a stronger intensity in the deep area than in the superficial area. New tentative OA markers were found in the deep area of the OA cartilage. CONCLUSION MALDI-IMS identifies and localizes disease-specific peptides and proteins in cartilage. All the OA-related peptides and proteins detected display a stronger intensity in the deep cartilage. MS-based molecular imaging is demonstrated to be an innovative method for studying OA pathology.
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211
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Surface analysis of lipids by mass spectrometry: more than just imaging. Prog Lipid Res 2013; 52:329-53. [PMID: 23623802 DOI: 10.1016/j.plipres.2013.04.005] [Citation(s) in RCA: 82] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2012] [Revised: 03/19/2013] [Accepted: 04/12/2013] [Indexed: 11/22/2022]
Abstract
Mass spectrometry is now an indispensable tool for lipid analysis and is arguably the driving force in the renaissance of lipid research. In its various forms, mass spectrometry is uniquely capable of resolving the extensive compositional and structural diversity of lipids in biological systems. Furthermore, it provides the ability to accurately quantify molecular-level changes in lipid populations associated with changes in metabolism and environment; bringing lipid science to the "omics" age. The recent explosion of mass spectrometry-based surface analysis techniques is fuelling further expansion of the lipidomics field. This is evidenced by the numerous papers published on the subject of mass spectrometric imaging of lipids in recent years. While imaging mass spectrometry provides new and exciting possibilities, it is but one of the many opportunities direct surface analysis offers the lipid researcher. In this review we describe the current state-of-the-art in the direct surface analysis of lipids with a focus on tissue sections, intact cells and thin-layer chromatography substrates. The suitability of these different approaches towards analysis of the major lipid classes along with their current and potential applications in the field of lipid analysis are evaluated.
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212
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Analysis of the formalin-fixed paraffin-embedded tissue proteome: pitfalls, challenges, and future prospectives. Amino Acids 2013; 45:205-18. [PMID: 23592010 DOI: 10.1007/s00726-013-1494-0] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2013] [Accepted: 04/02/2013] [Indexed: 10/26/2022]
Abstract
Formalin-fixed paraffin-embedded (FFPE) tissues are a real treasure for retrospective analysis considering the amount of samples present in hospital archives, combined with pathological, clinical, and outcome information available for every sample. Although unlocking the proteome of these tissues is still a challenge, new approaches are being developed. In this review, we summarize the different mass spectrometry platforms that are used in human clinical studies to unravel the FFPE proteome. The different ways of extracting crosslinked proteins and the analytical strategies are pointed out. Also, the pitfalls and challenges concerning the quality of FFPE proteomic approaches are depicted. We also evaluated the potential of these analytical methods for future clinical FFPE proteomics applications.
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213
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Norris JL, Caprioli RM. Analysis of tissue specimens by matrix-assisted laser desorption/ionization imaging mass spectrometry in biological and clinical research. Chem Rev 2013; 113:2309-42. [PMID: 23394164 PMCID: PMC3624074 DOI: 10.1021/cr3004295] [Citation(s) in RCA: 509] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Jeremy L. Norris
- National Research Resource for Imaging Mass Spectrometry, Mass Spectrometry Research Center, and Department of Biochemistry, Vanderbilt University School of Medicine, 9160 Medical Research Building III, 465 21st Avenue South, Nashville, TN 37232-8575
| | - Richard M. Caprioli
- National Research Resource for Imaging Mass Spectrometry, Mass Spectrometry Research Center, and Department of Biochemistry, Vanderbilt University School of Medicine, 9160 Medical Research Building III, 465 21st Avenue South, Nashville, TN 37232-8575
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214
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Zhang Z, Jiang S, Li L. Semi-automated liquid chromatography-mass spectrometric imaging platform for enhanced detection and improved data analysis of complex peptides. J Chromatogr A 2013; 1293:44-50. [PMID: 23623366 DOI: 10.1016/j.chroma.2013.03.042] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2012] [Revised: 03/16/2013] [Accepted: 03/18/2013] [Indexed: 11/18/2022]
Abstract
A semi-automated analytical platform featuring the coupling of monolithic reversed-phase liquid chromatography (RPLC) to matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI MSI) has been developed and evaluated. This is the first time that LC separation is readily coupled to MS imaging detection for the analysis of complex peptide mixtures both qualitatively and quantitatively. Methacrylate-based monolithic column with C12 functional groups is fabricated for fast RPLC separation. The LC flow and matrix flow are collected on a commercially available MALDI plate which is mechanically controlled and analyzed with MALDI MSI subsequently. Both tryptic peptides digested from bovine serum albumin (BSA) and endogenous neuropeptides extracted from the blue crab Callinectes sapidus are analyzed with this novel LC-MSI platform. Compared with regular offline LC fractionation coupled with MALDI MS detection, LC-MSI exhibits significantly increased MS signal intensity due to retaining of temporal resolution from separation dimension via continuous sampling, which results in increased number of peptides detected and accurate quantitation. In addition, imaging signals enable improved data analysis based on either mass-to-charge ratio or retention time, which is extremely beneficial for the analysis of complex analytes. These findings have demonstrated the potential of employing LC-MSI platform for enhanced proteomics and peptidomics studies.
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Affiliation(s)
- Zichuan Zhang
- School of Pharmacy, University of Wisconsin, 777 Highland Avenue, Madison, WI 53705, USA
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215
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Repeat MALDI MS imaging of a single tissue section using multiple matrices and tissue washes. Anal Bioanal Chem 2013; 405:4719-28. [DOI: 10.1007/s00216-013-6899-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2013] [Revised: 02/28/2013] [Accepted: 03/05/2013] [Indexed: 01/03/2023]
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216
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Janfelt C, Wellner N, Hansen HS, Hansen SH. Displaced dual-mode imaging with desorption electrospray ionization for simultaneous mass spectrometry imaging in both polarities and with several scan modes. JOURNAL OF MASS SPECTROMETRY : JMS 2013; 48:361-366. [PMID: 23494793 DOI: 10.1002/jms.3166] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2012] [Revised: 01/08/2013] [Accepted: 01/09/2013] [Indexed: 06/01/2023]
Abstract
Displaced dual-mode imaging (DDI) is introduced as a method for simultaneous imaging in positive and negative-ion mode on the same sample with desorption electrospray ionization imaging, as well as a method for simultaneous imaging in full-scan and tandem mass spectrometry (MS/MS) mode. DDI is performed by using a smaller row distance in the y-direction than the desired image resolution and recording for example every second row in positive-ion mode and the other half of the rows in negative-ion mode, thus resulting in two separate images. This causes some degree of oversampling, which is thus utilized to obtain complementary mass spectrometric of the sample. Imaging with both polarities is exemplified on an imprint of a Hypericum perforatum leaf containing secondary metabolites which ionize in both polarites and a mouse kidney containing phospholipids which ionize in positive or negative mode only. Simultaneous full-scan and MS/MS imaging was demonstrated on the same mouse kidney, as the mouse had been given a relatively low dose of the antidepressive drug amitriptyline. While the full-scan data allowed imaging of the endogenous phospholipids, the drug and its metabolites were only visible in the MS/MS images. The latter approach is useful, for example in whole-body imaging experiments where the full-scan data gives an overview of the tissue, and the MS/MS mode provides the sensitivity to image trace amounts of drugs and metabolites.
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Affiliation(s)
- Christian Janfelt
- Department of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark.
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217
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Passarelli MK, Ewing AG, Winograd N. Single-cell lipidomics: characterizing and imaging lipids on the surface of individual Aplysia californica neurons with cluster secondary ion mass spectrometry. Anal Chem 2013; 85:2231-8. [PMID: 23323749 PMCID: PMC3867296 DOI: 10.1021/ac303038j] [Citation(s) in RCA: 91] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Neurons isolated from Aplysia californica , an organism with a well-defined neural network, were imaged with secondary ion mass spectrometry, C(60)-SIMS. A major lipid component of the neuronal membrane was identified as 1-hexadecyl-2-octadecenoyl-sn-glycero-3-phosphocholine [PC(16:0e/18:1)] using tandem mass spectrometry (MS/MS). The assignment was made directly off the sample surface using a C(60)-QSTAR instrument, a prototype instrument that combines an ion source with a commercial electrospray ionization/matrix-assisted laser desorption ionization (ESI/MALDI) mass spectrometer. Normal phase liquid chromatography mass spectrometry (NP-LC-MS) was used to confirm the assignment. Cholesterol and vitamin E were also identified with in situ tandem MS analyses that were compared to reference spectra obtained from purified compounds. In order to improve sensitivity on the single-cell level, the tandem MS spectrum of vitamin E reference material was used to extract and compile all the vitamin E related peaks from the cell image. The mass spectrometry images reveal heterogeneous distributions of intact lipid species, PC(16:0e/18:1), vitamin E, and cholesterol on the surface of a single neuron. The ability to detect these molecules and determine their relative distribution on the single-cell level shows that the C(60)-QSTAR is a potential platform for studying important biochemical processes, such as neuron degeneration.
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Affiliation(s)
- Melissa K. Passarelli
- Department of Chemistry, University Park, PA 16802, USA
- Department of Chemistry and Molecular Biology, The University of Gothenburg, SE-41296 Göteborg, Sweden
| | - Andrew G. Ewing
- Department of Chemistry and Molecular Biology, The University of Gothenburg, SE-41296 Göteborg, Sweden
- Department of Chemical and Biological Engineering, Chalmers University of Technology, S-41296 Göteborg, Sweden
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218
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Lopes AA, Pina ES, Silva DB, Pereira AMS, da Silva MFDGF, Da Costa FB, Lopes NP, Pupo MT. A biosynthetic pathway of sesquiterpene lactones in Smallanthus sonchifolius and their localization in leaf tissues by MALDI imaging. Chem Commun (Camb) 2013; 49:9989-91. [DOI: 10.1039/c3cc46213g] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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219
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Vaikkinen A, Shrestha B, Nazarian J, Kostiainen R, Vertes A, Kauppila TJ. Simultaneous Detection of Nonpolar and Polar Compounds by Heat-Assisted Laser Ablation Electrospray Ionization Mass Spectrometry. Anal Chem 2012. [DOI: 10.1021/ac302432h] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Anu Vaikkinen
- Division of Pharmaceutical Chemistry,
Faculty of Pharmacy, P.O. Box 56, 00014, University of Helsinki, Finland
- Department of Chemistry, W.
M. Keck Institute for Proteomics Technology and Applications, George Washington University, Washington, D.C. 20052,
United States
| | - Bindesh Shrestha
- Department of Chemistry, W.
M. Keck Institute for Proteomics Technology and Applications, George Washington University, Washington, D.C. 20052,
United States
| | - Javad Nazarian
- Research Center
for Genetic Medicine,
Children’s National Medical Center, Washington, D.C. 20010,
United States
- Department
of Integrative Systems
Biology, School of Medicine and Health Sciences, George Washington University, Washington, D.C. 20037, United
States
| | - Risto Kostiainen
- Division of Pharmaceutical Chemistry,
Faculty of Pharmacy, P.O. Box 56, 00014, University of Helsinki, Finland
| | - Akos Vertes
- Department of Chemistry, W.
M. Keck Institute for Proteomics Technology and Applications, George Washington University, Washington, D.C. 20052,
United States
| | - Tiina J. Kauppila
- Division of Pharmaceutical Chemistry,
Faculty of Pharmacy, P.O. Box 56, 00014, University of Helsinki, Finland
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220
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Zhang Z, Jia C, Li L. Neuropeptide analysis with liquid chromatography-capillary electrophoresis-mass spectrometric imaging. J Sep Sci 2012; 35:1779-84. [PMID: 22807360 DOI: 10.1002/jssc.201200051] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Herein we report the first attempt of coupling multidimensional separations to matrix-assisted laser desorption/ionization (MALDI) mass spectrometric imaging detection. Complex neuropeptide mixtures extracted from crustaceans were first fractionated by reversed-phase liquid chromatography (RPLC), and then subjected to a capillary electrophoresis-mass spectrometric imaging platform. With a specific focus on orcokinin family neuropeptides, we demonstrated that these trace-level analytes from complex neural tissue samples can be fully separated from chemical noise and interfering components and visualized as mass spectrometric imaging signals. A total of 19 putative orcokinins were detected, with highly efficient separations within the family being achieved for the first time. The results indicate that two-dimensional separation coupling to mass spectrometric imaging can serve as a novel and powerful tool in proteomics and peptidomics studies.
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Affiliation(s)
- Zichuan Zhang
- School of Pharmacy, University of Wisconsin, Madison, Wisconsin 53705, USA
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221
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Alexandrov T. MALDI imaging mass spectrometry: statistical data analysis and current computational challenges. BMC Bioinformatics 2012; 13 Suppl 16:S11. [PMID: 23176142 PMCID: PMC3489526 DOI: 10.1186/1471-2105-13-s16-s11] [Citation(s) in RCA: 143] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) imaging mass spectrometry, also called MALDI-imaging, is a label-free bioanalytical technique used for spatially-resolved chemical analysis of a sample. Usually, MALDI-imaging is exploited for analysis of a specially prepared tissue section thaw mounted onto glass slide. A tremendous development of the MALDI-imaging technique has been observed during the last decade. Currently, it is one of the most promising innovative measurement techniques in biochemistry and a powerful and versatile tool for spatially-resolved chemical analysis of diverse sample types ranging from biological and plant tissues to bio and polymer thin films. In this paper, we outline computational methods for analyzing MALDI-imaging data with the emphasis on multivariate statistical methods, discuss their pros and cons, and give recommendations on their application. The methods of unsupervised data mining as well as supervised classification methods for biomarker discovery are elucidated. We also present a high-throughput computational pipeline for interpretation of MALDI-imaging data using spatial segmentation. Finally, we discuss current challenges associated with the statistical analysis of MALDI-imaging data.
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Affiliation(s)
- Theodore Alexandrov
- Center for Industrial Mathematics, University of Bremen, Bibliothekstr, 1, 28359 Bremen, Germany.
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222
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Cillero-Pastor B, Eijkel G, Kiss A, Blanco FJ, Heeren RMA. Time-of-flight secondary ion mass spectrometry-based molecular distribution distinguishing healthy and osteoarthritic human cartilage. Anal Chem 2012; 84:8909-16. [PMID: 22950553 DOI: 10.1021/ac301853q] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Osteoarthritis (OA) is a pathology that ultimately causes joint destruction. The cartilage is one of the principal affected tissues. Alterations in the lipid mediators and an imbalance in the metabolism of cells that form the cartilage (chondrocytes) have been described as contributors to the OA development. In this study, we have studied the distribution of lipids and chemical elements in healthy and OA human cartilage. Time of flight-secondary ion mass spectrometry (TOF-SIMS) allows us to study the spatial distribution of molecules at a high resolution on a tissue section. TOF-SIMS revealed a specific peak profile that distinguishes healthy from OA cartilages. The spatial distribution of cholesterol-related peaks exhibited a remarkable difference between healthy and OA cartilages. A distinctive colocalization of cholesterol and other lipids in the superficial area of the cartilage was found. A higher intensity of oleic acid and other fatty acids in the OA cartilages exhibited a similar localization. On the other hand, CN(-) was observed with a higher intensity in the healthy samples. Finally, we observed an accumulation of calcium and phosphate ions exclusively in areas surrounding the chondrocyte in OA tissues. To our knowledge, this is the first time that TOF-SIMS revealed combined changes in the molecular distribution in the OA human cartilage.
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Affiliation(s)
- Berta Cillero-Pastor
- Biomolecular Imaging Mass Spectrometry (BIMS), FOM Institute AMOLF, Amsterdam, The Netherlands
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223
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Recent developments in liquid chromatography–mass spectrometry and related techniques. J Chromatogr A 2012; 1259:3-15. [DOI: 10.1016/j.chroma.2012.08.072] [Citation(s) in RCA: 228] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2012] [Revised: 08/22/2012] [Accepted: 08/23/2012] [Indexed: 11/22/2022]
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224
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Jungmann JH, Smith DF, MacAleese L, Klinkert I, Visser J, Heeren RMA. Biological tissue imaging with a position and time sensitive pixelated detector. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2012; 23:1679-88. [PMID: 22836864 DOI: 10.1007/s13361-012-0444-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2012] [Revised: 07/02/2012] [Accepted: 07/02/2012] [Indexed: 05/18/2023]
Abstract
We demonstrate the capabilities of a highly parallel, active pixel detector for large-area, mass spectrometric imaging of biological tissue sections. A bare Timepix assembly (512 × 512 pixels) is combined with chevron microchannel plates on an ion microscope matrix-assisted laser desorption time-of-flight mass spectrometer (MALDI TOF-MS). The detector assembly registers position- and time-resolved images of multiple m/z species in every measurement frame. We prove the applicability of the detection system to biomolecular mass spectrometry imaging on biologically relevant samples by mass-resolved images from Timepix measurements of a peptide-grid benchmark sample and mouse testis tissue slices. Mass-spectral and localization information of analytes at physiologic concentrations are measured in MALDI-TOF-MS imaging experiments. We show a high spatial resolution (pixel size down to 740 × 740 nm(2) on the sample surface) and a spatial resolving power of 6 μm with a microscope mode laser field of view of 100-335 μm. Automated, large-area imaging is demonstrated and the Timepix' potential for fast, large-area image acquisition is highlighted.
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225
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Le CH, Han J, Borchers CH. Dithranol as a MALDI Matrix for Tissue Imaging of Lipids by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry. Anal Chem 2012; 84:8391-8. [DOI: 10.1021/ac301901s] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Cuong H. Le
- University of Victoria-Genome
BC Proteomics Centre, University of Victoria, Vancouver Island Technology Park, 3101−4464 Markham Street,
Victoria, British Columbia V8Z 7X8, Canada
- Department of Biochemistry and
Microbiology, University of Victoria, 3800
Finnerty Road, Victoria, British Columbia V8P 5C2, Canada
| | - Jun Han
- University of Victoria-Genome
BC Proteomics Centre, University of Victoria, Vancouver Island Technology Park, 3101−4464 Markham Street,
Victoria, British Columbia V8Z 7X8, Canada
| | - Christoph H. Borchers
- University of Victoria-Genome
BC Proteomics Centre, University of Victoria, Vancouver Island Technology Park, 3101−4464 Markham Street,
Victoria, British Columbia V8Z 7X8, Canada
- Department of Biochemistry and
Microbiology, University of Victoria, 3800
Finnerty Road, Victoria, British Columbia V8P 5C2, Canada
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226
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Zhang Z, Ye H, Wang J, Hui L, Li L. Pressure-assisted capillary electrophoresis coupling with matrix-assisted laser desorption/ionization-mass spectrometric imaging for quantitative analysis of complex peptide mixtures. Anal Chem 2012; 84:7684-91. [PMID: 22891936 DOI: 10.1021/ac300628s] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Herein, we report a pressure-assisted capillary electrophoresis-mass spectrometric imaging (PACE-MSI) platform for peptide analysis. This new platform has addressed the sample diffusion and peak splitting problems that appeared in our previous groove design, and it enables homogeneous deposition of the CE trace for high-throughput MALDI imaging. In the coupling of CE to MSI, individual peaks (m/z) can be visualized as discrete colored image regions and extracted from the MS imaging data, thus eliminating issues with peak overlapping and reducing reliance on an ultrahigh mass resolution mass spectrometer. Through a PACE separation, 46 tryptic peptides from bovine serum albumin and 150 putative neuropeptides from the pericardial organs of a model organism blue crab Callinectes sapidus were detected from the MALDI MS imaging traces, enabling a 4- to 6-fold increase of peptide coverage as compared with direct MALDI MS analysis. For the first time, quantitation with high accuracy was obtained using PACE-MSI for both digested tryptic peptides and endogenous neuropeptides from complex biological samples in combination with isotopic formaldehyde labeling. Although MSI is typically employed in tissue imaging, we show in this report that it offers a unique tool for quantitative analysis of complex trace-level analytes with CE separation. These results demonstrate a great potential of the PACE-MSI platform for enhanced quantitative proteomics and neuropeptidomics.
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Affiliation(s)
- Zichuan Zhang
- School of Pharmacy, University of Wisconsin, Madison, 53705, United States
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227
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Sample preparation for mass spectrometry imaging: Small mistakes can lead to big consequences. J Proteomics 2012; 75:4893-4911. [DOI: 10.1016/j.jprot.2012.04.012] [Citation(s) in RCA: 204] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2012] [Revised: 04/11/2012] [Accepted: 04/12/2012] [Indexed: 12/13/2022]
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228
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Tata A, Fernandes AMAP, Santos VG, Alberici RM, Araldi D, Parada CA, Braguini W, Veronez L, Silva Bisson G, Reis FHZ, Alberici LC, Eberlin MN. Nanoassisted Laser Desorption-Ionization-MS Imaging of Tumors. Anal Chem 2012; 84:6341-5. [DOI: 10.1021/ac301202q] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Alessandra Tata
- ThoMSon Mass Spectrometry Laboratory,
Institute of Chemistry, University of Campinas−UNICAMP, Campinas, SP, Brazil
| | - Anna Maria A. P. Fernandes
- ThoMSon Mass Spectrometry Laboratory,
Institute of Chemistry, University of Campinas−UNICAMP, Campinas, SP, Brazil
| | - Vanessa G. Santos
- ThoMSon Mass Spectrometry Laboratory,
Institute of Chemistry, University of Campinas−UNICAMP, Campinas, SP, Brazil
| | - Rosana M. Alberici
- ThoMSon Mass Spectrometry Laboratory,
Institute of Chemistry, University of Campinas−UNICAMP, Campinas, SP, Brazil
| | - Dioneia Araldi
- Department of Physiology and
Biophysics, Institute of Biology, University of Campinas−UNICAMP, Campinas, SP, Brazil
| | - Carlos A. Parada
- Department of Physiology and
Biophysics, Institute of Biology, University of Campinas−UNICAMP, Campinas, SP, Brazil
| | - Wellington Braguini
- Department
of Maternal and Child
Nursing and Public Health, School of Nursing of Ribeirão Preto, SP, Brazil
| | - Luciana Veronez
- Department
of Maternal and Child
Nursing and Public Health, School of Nursing of Ribeirão Preto, SP, Brazil
| | - Gabriela Silva Bisson
- Department
of Maternal and Child
Nursing and Public Health, School of Nursing of Ribeirão Preto, SP, Brazil
| | - Felippe H. Z. Reis
- Department of Physics and Chemistry,
Faculty of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto,
SP, Brazil
| | - Luciane C. Alberici
- Department of Physics and Chemistry,
Faculty of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto,
SP, Brazil
| | - Marcos N. Eberlin
- ThoMSon Mass Spectrometry Laboratory,
Institute of Chemistry, University of Campinas−UNICAMP, Campinas, SP, Brazil
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229
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Conductive carbon tape used for support and mounting of both whole animal and fragile heat-treated tissue sections for MALDI MS imaging and quantitation. J Proteomics 2012; 75:4912-4920. [PMID: 22796569 DOI: 10.1016/j.jprot.2012.07.006] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2012] [Revised: 06/22/2012] [Accepted: 07/04/2012] [Indexed: 11/21/2022]
Abstract
Analysis of whole animal tissue sections by MALDI MS imaging (MSI) requires effective sample collection and transfer methods to allow the highest quality of in situ analysis of small or hard to dissect tissues. We report on the use of double-sided adhesive conductive carbon tape during whole adult rat tissue sectioning of carboxymethyl cellulose (CMC) embedded animals, with samples mounted onto large format conductive glass and conductive plastic MALDI targets, enabling MSI analysis to be performed on both TOF and FT-ICR MALDI mass spectrometers. We show that mounting does not unduly affect small molecule MSI detection by analyzing tiotropium abundance and distribution in rat lung tissues, with direct on-tissue quantitation achieved. Significantly, we use the adhesive tape to provide support to embedded delicate heat-stabilized tissues, enabling sectioning and mounting to be performed that maintained tissue integrity on samples that had previously been impossible to adequately prepare section for MSI analysis. The mapping of larger peptidomic molecules was not hindered by tape mounting samples and we demonstrate this by mapping the distribution of PEP-19 in both native and heat-stabilized rat brains. Furthermore, we show that without heat stabilization PEP-19 degradation fragments can detected and identified directly by MALDI MSI analysis.
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230
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Rao W, Scurr DJ, Burston J, Alexander MR, Barrett DA. Use of imaging multivariate analysis to improve biochemical and anatomical discrimination in desorption electrospray ionisation mass spectrometry imaging. Analyst 2012; 137:3946-53. [PMID: 22779078 DOI: 10.1039/c2an35430f] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Desorption electrospray ionisation (DESI) mass spectrometry images usually contain a large amount of information that can be difficult to interpret in an objective manner. We explore the use of imaging multivariate analysis (MVA) on DESI images of protein spots and rat brain sections to automatically assign peaks and improve discrimination of spatially important features. DESI parameters were optimised on an ion trap mass spectrometer for (a) consistent imaging of dried single and mixture spots of insulin, myoglobin and BSA from a Permanox slide, and (b) to produce a MS image of rat brain coronal section at 100 μm resolution. Multivariate curve resolution (MCR), an imaging MVA technique was applied to these images after appropriate data binning. MCR analysis on DESI images of protein mixture spots allowed the multiply charged peaks of a number of proteins to be distinctly separated. Application of MCR to a DESI image of a rat brain coronal section deconvoluted the image into components that showed biologically important features. Further application of MCR to a subsection of the image produced a component that clearly separated out the substantia nigra region, which allowed us to produce a biochemical anatomy for this area of the brain. We have demonstrated the ability of imaging MVA to automatically and objectively analyse DESI images of standardised and complex biological samples, and have shown its capacity for detailed spatial profiling of biomolecules in specific morphological regions. We propose the routine use of this technique for future DESI imaging experiments.
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Affiliation(s)
- Wei Rao
- Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK
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231
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Sparvero L, Amoscato A, Dixon C, Long J, Kochanek P, Pitt B, Bayir H, Kagan V. Mapping of phospholipids by MALDI imaging (MALDI-MSI): realities and expectations. Chem Phys Lipids 2012; 165:545-62. [PMID: 22692104 PMCID: PMC3642772 DOI: 10.1016/j.chemphyslip.2012.06.001] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2012] [Revised: 05/30/2012] [Accepted: 06/01/2012] [Indexed: 02/07/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) has emerged as a novel powerful MS methodology that has the ability to generate both molecular and spatial information within a tissue section. Application of this technology as a new type of biochemical lipid microscopy may lead to new discoveries of the lipid metabolism and biomarkers associated with area-specific alterations or damage under stress/disease conditions such as traumatic brain injury or acute lung injury, among others. However there are limitations in the range of what it can detect as compared with liquid chromatography-MS (LC-MS) of a lipid extract from a tissue section. The goal of the current work was to critically consider remarkable new opportunities along with the limitations and approaches for further improvements of MALDI-MSI. Based on our experimental data and assessments, improvements of the spectral and spatial resolution, sensitivity and specificity towards low abundance species of lipids are proposed. This is followed by a review of the current literature, including methodologies that other laboratories have used to overcome these challenges.
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Affiliation(s)
- L.J. Sparvero
- Center for Free Radical and Antioxidant Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - A.A. Amoscato
- Center for Free Radical and Antioxidant Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - C.E. Dixon
- Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Neurosurgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - J.B. Long
- Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD 21910, USA
| | - P.M. Kochanek
- Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - B.R. Pitt
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - H. Bayir
- Center for Free Radical and Antioxidant Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - V.E. Kagan
- Center for Free Radical and Antioxidant Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
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232
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Zhang H, Wang SQ, Liu Y, Luo LP, Liu P, Qi LW, Li P. Trace analysis in complex mixtures using a high-component filtering strategy with liquid chromatography-mass spectrometry. J Pharm Biomed Anal 2012; 70:169-77. [PMID: 22795311 DOI: 10.1016/j.jpba.2012.06.025] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Revised: 06/15/2012] [Accepted: 06/18/2012] [Indexed: 11/16/2022]
Abstract
Trace constituents are widely present in complex mixtures, and trace analysis is challenging because of the unpredictable matrix. In this work, a high-component filtering strategy was developed for improved analysis of trace constituents in complex sample by liquid chromatography-mass spectrometry (LC-MS). Using a specifically designed chromatographic apparatus, the high-abundant fractions were filtered prior to LC-MS analysis. The samples complexity was reduced and the sample-loading amount for the rest low-level fractions can be considerably increased. The application of this approach was illustrated with an analytically challenging sample, a traditional Chinese herbal medicine named Compound Danshen Sample. We observed that the loss rate for 12 analytes during the filtering procedure ranged from 6.54 to 26.11%, but showed a stable repeatability with RSD<3.79%. The proposed filtering method with quadrupole time-of-flight mass spectrometritry (Q-TOF/MS) enhanced the detection capacity, offering a comprehensive characterization of 133 compounds in Compound Danshen Samples. The quantification sensitivity was also improved in trace analysis, allowing six low compounds that cannot be quantified by the traditional methods to be tested by the filtering method. It can be predicted that the qualitative and quantitative trace analysis will be greatly improved when the loading samples is increased resulting from the filtration of high-level targets. The proposed strategy is promising to monitor trace constituents in diverse complex mixtures in the analytical field of pharmaceutics, metabonomics and environments.
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Affiliation(s)
- Hui Zhang
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing 210009, China
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233
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MALDI imaging mass spectrometry: bridging biology and chemistry in drug development. Bioanalysis 2012; 3:2427-41. [PMID: 22074284 DOI: 10.4155/bio.11.232] [Citation(s) in RCA: 188] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Our understanding of drug tissue distribution impacts a number of areas in drug development, including: pharmacology, pharmacokinetics, safety, drug-drug interactions, transport and metabolism. Despite their extensive use, autoradiography and tissue homogenate LC-MS analysis have limitations in providing a comprehensive assessment of tissue distributions. In the case of autoradiography, it is the inability to distinguish between parent drug and drug metabolites. In LC-MS analysis of tissue homogenate, all tissue localization information is lost. The emerging technique of MALDI imaging mass spectrometry has the capability to distinguish between parent and metabolites while maintaining spatial distribution in tissues. In this article, we will review the MALDI imaging MS methodology as applied to drug development and provide examples highlighting the impact of this important technique in drug development.
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234
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Imaging mass spectrometry of thin tissue sections: a decade of collective efforts. J Proteomics 2012; 75:4883-4892. [PMID: 22525544 DOI: 10.1016/j.jprot.2012.04.005] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2012] [Revised: 04/02/2012] [Accepted: 04/05/2012] [Indexed: 12/21/2022]
Abstract
Imaging mass spectrometry (MS) allows to monitor the spatial distribution and abundance of endogenous and administered compounds present within tissue specimens. Several different but complementary imaging MS technologies have been developed allowing the analysis of a wide variety of compounds including inorganic elementals, metabolites, lipids, peptides, proteins and xenobiotics with spatial resolutions from micrometer to nanometer scales. In the past decade, an enormous collective body of work has been done to develop and improve the imaging MS technology. This article gives a historical perspective, an overview of the principle and status of the technology and lists the main fields of applications. It also enumerates some of the critical challenges we need to collectively address for imaging MS to be considered a mainstream analytical method.
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235
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Pirro V, Eberlin LS, Oliveri P, Cooks RG. Interactive hyperspectral approach for exploring and interpreting DESI-MS images of cancerous and normal tissue sections. Analyst 2012; 137:2374-80. [PMID: 22493773 DOI: 10.1039/c2an35122f] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Desorption electrospray ionization (DESI) is an ambient mass spectrometry (MS) technique that can be operated in an imaging mode. It is known to provide valuable information on disease state and grade based on lipid profiles in tissue sections. Comprehensive exploration of the spatial and chemical information contained in 2D MS images requires further development of methods for data treatment and interpretation in conjunction with multivariate analysis. In this study, we employ an interactive approach based on principal component analysis (PCA) to interpret the chemical and spatial information obtained from MS imaging of human bladder, kidney, germ cell and prostate cancer and adjacent normal tissues. This multivariate strategy facilitated distinction between tumor and normal tissue by correlating the lipid information with pathological evaluation of the same samples. Some common lipid ions, such as those of m/z 885.5 and m/z 788.5, nominally PI(18 : 0/20 : 4) and PS(18 : 0/18 : 1), as well as ions of free fatty acids and their dimers, appeared to be highly characterizing for different types of human cancers, while other ions, such as those of m/z 465.5 (cholesterol sulfate) for prostate cancer tissue and m/z 795.5 (seminolipid 16 : 0/16 : 0) for germ tissue, appeared to be extremely selective for the type of tissue analyzed. These data confirm that lipid profiles can reflect not only the disease/health state of tissue but also are characteristic of tissue type. The manual interactive strategy presented here is particularly useful to visualize the information contained in hyperspectral MS images by automatically connecting regions of PCA score space to pixels of the 2D physical object. The procedures developed in this study consider all the spectral variables and their inter-correlations, and guide subsequent investigations of the mass spectra and single ion images to allow one to maximize characterization between different regions of any DESI-MS image.
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Affiliation(s)
- Valentina Pirro
- Department of Chemistry, University of Turin, Turin 10125, Italy
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236
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Lindsey JS, Thamyongkit P, Taniguchi M, Bocian DF. Encoding isotopic watermarks in molecular electronic materials as an anti-counterfeiting strategy: Application to porphyrins for information storage. J PORPHYR PHTHALOCYA 2012. [DOI: 10.1142/s1088424611003458] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
An approach for information storage employs tetrapyrrole macrocycles as charge-storage elements attached to a (semi)conductor in hybrid chips. Anti-counterfeiting measures must cohere with the tiny amounts of such electroactive material and strict constraints on composition in chips; accordingly, the incorporation of typical anti-counterfeiting taggants or microcarriers is precluded. The provenance of the tetrapyrroles can be established through the use of isotopic substitution integral to the macrocycle. The isotopic substitution can be achieved by rational site-specific incorporation or by combinatorial procedures. The formation of a mixture of such macrocycles with various isotopic composition (isotopically unmodified, isotopologues, isotopomers) provides the molecular equivalent of an indelible printed watermark. Resonance Raman spectroscopic examination can reveal the watermark, but not the underlying molecular and isotopic composition; imaging mass spectrometry can reveal the presence of isotopologues but cannot discriminate among isotopomers. Hence, deciphering the code that encrypts the watermark in an attempt at forgery is expected to be prohibitive. A brief overview is provided of strategies for incorporating isotopes in meso-substituted tetrapyrrole macrocycles.
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Affiliation(s)
- Jonathan S. Lindsey
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695-8204, USA
| | - Patchanita Thamyongkit
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695-8204, USA
| | - Masahiko Taniguchi
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695-8204, USA
| | - David F. Bocian
- Department of Chemistry, University of California, Riverside, California 92521-0403, USA
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237
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Oikawa A, Saito K. Metabolite analyses of single cells. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2012; 70:30-8. [PMID: 22449041 DOI: 10.1111/j.1365-313x.2012.04967.x] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Single-cell analysis is a promising method for understanding not only cellular physiology but also biological mechanisms of multicellular organisms. Although neighboring cells in multicellular organisms originate from the same genomic information, different circumstances around cells or epigenetic differences have different influences on each cell, leading to differing expression of genes, and thus differing levels and dynamics of metabolites, in single cells. However, single-cell analysis is a tough challenge, even with recent technologies, because of the small size of single cells. Unlike genes, metabolites cannot be amplified, and therefore metabolite analysis is another issue. To analyze such a tiny quantity of metabolites in a single cell, various techniques have been tried and developed. Especially in mass spectrometry, marked improvements in both detection sensitivity and ionization techniques have opened up the challenge for the analysis of metabolites in single cells. In this review, we discuss the method for metabolite detection at the level of single cells and recent advancements in technology.
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Affiliation(s)
- Akira Oikawa
- RIKEN Plant Science Center (Tsuruoka), Tsuruoka, Japan
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238
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Lee YJ, Perdian DC, Song Z, Yeung ES, Nikolau BJ. Use of mass spectrometry for imaging metabolites in plants. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2012; 70:81-95. [PMID: 22449044 DOI: 10.1111/j.1365-313x.2012.04899.x] [Citation(s) in RCA: 99] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
We discuss and illustrate recent advances that have been made to image the distribution of metabolites among cells and tissues of plants using different mass spectrometry technologies. These technologies include matrix-assisted laser desorption ionization, desorption electrospray ionization, and secondary ion mass spectrometry. These are relatively new technological applications of mass spectrometry and they are providing highly spatially resolved data concerning the cellular distribution of metabolites. We discuss the advantages and limitations of each of these mass spectrometric methods, and provide a description of the technical barriers that are currently limiting the technology to the level of single-cell resolution. However, we anticipate that advances in the next few years will increase the resolving power of the technology to provide unprecedented data on the distribution of metabolites at the subcellular level, which will increase our ability to decipher new knowledge concerning the spatial organization of metabolic processes in plants.
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Affiliation(s)
- Young Jin Lee
- Department of Chemistry, Iowa State University, Ames, IA 50011, USA
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239
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Kozhinov AN, Tsybin YO. Filter diagonalization method-based mass spectrometry for molecular and macromolecular structure analysis. Anal Chem 2012; 84:2850-6. [PMID: 22376180 DOI: 10.1021/ac203391z] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Molecular and macromolecular structure analysis by high resolution and accurate mass spectrometry (MS) is indispensable for a number of fundamental and applied research areas, including health and energy domains. Comprehensive structure analysis of molecules and macromolecules present in the extremely complex samples and performed under time-constrained experimental conditions demands a substantial increase in the acquisition speed of high resolution MS data. We demonstrate here that signal processing based on the filter diagonalization method (FDM) provides the required resolution for shorter experimental transient signals in ion cyclotron resonance (ICR) MS compared to the Fourier transform (FT) processing. We thus present the development of a FDM-based MS (FDM MS) and demonstrate its implementation in ICR MS. The considered FDM MS applications are in bottom-up and top-down proteomics, metabolomics, and petroleomics.
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Affiliation(s)
- Anton N Kozhinov
- Biomolecular Mass Spectrometry Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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240
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Peukert M, Matros A, Lattanzio G, Kaspar S, Abadía J, Mock HP. Spatially resolved analysis of small molecules by matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI). THE NEW PHYTOLOGIST 2012; 193:806-815. [PMID: 22126099 DOI: 10.1111/j.1469-8137.2011.03970.x] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
• Matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) of tissues provides the means to analyse the spatial distributions of small molecules and proteins within tissues. This imaging technique is commonplace in medicinal and pharmaceutical research, but its application in plant science is very recent. Broader introduction requires specific adaptations for plant tissues. Sample preparation is of paramount importance in order to obtain high-quality spectra providing sufficient spatial resolution for compounds. Optimization is required for sectioning, choice of matrix and means of matrix deposition. • Here, we present our current protocols for the detection of small molecules in cryodissected immature barley (Hordeum vulgare) grains and tobacco (Nicotiana tabacum) roots. • Examples of MALDI-MSI measurements are provided, and the level of reproducibility across biological replicates is addressed. Furthermore, our approaches for the validation of distribution patterns and for the identification of molecules are described. • Finally, we discuss how MALDI-MSI can contribute to applied plant research.
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Affiliation(s)
- Manuela Peukert
- Applied Biochemistry Group, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, D-06466 Gatersleben, Germany
| | - Andrea Matros
- Applied Biochemistry Group, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, D-06466 Gatersleben, Germany
| | - Giuseppe Lattanzio
- Department of Plant Nutrition, Estación Experimental de Aula Dei (CSIC), Av. Montañana 1005, Campus de Aula Dei, E-50059 Zaragoza, Spain
| | - Stephanie Kaspar
- Applied Biochemistry Group, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, D-06466 Gatersleben, Germany
| | - Javier Abadía
- Department of Plant Nutrition, Estación Experimental de Aula Dei (CSIC), Av. Montañana 1005, Campus de Aula Dei, E-50059 Zaragoza, Spain
| | - Hans-Peter Mock
- Applied Biochemistry Group, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, D-06466 Gatersleben, Germany
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241
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Vaikkinen A, Shrestha B, Kauppila TJ, Vertes A, Kostiainen R. Infrared Laser Ablation Atmospheric Pressure Photoionization Mass Spectrometry. Anal Chem 2012; 84:1630-6. [DOI: 10.1021/ac202905y] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Anu Vaikkinen
- Division of Pharmaceutical Chemistry,
Faculty of Pharmacy, P.O. Box 56, 00014 University of Helsinki, Finland
- Department of Chemistry, W. M. Keck Institute for Proteomics Technology
and Applications, George Washington University, Washington, DC 20052, United States
| | - Bindesh Shrestha
- Department of Chemistry, W. M. Keck Institute for Proteomics Technology
and Applications, George Washington University, Washington, DC 20052, United States
| | - Tiina J. Kauppila
- Division of Pharmaceutical Chemistry,
Faculty of Pharmacy, P.O. Box 56, 00014 University of Helsinki, Finland
| | - Akos Vertes
- Department of Chemistry, W. M. Keck Institute for Proteomics Technology
and Applications, George Washington University, Washington, DC 20052, United States
| | - Risto Kostiainen
- Division of Pharmaceutical Chemistry,
Faculty of Pharmacy, P.O. Box 56, 00014 University of Helsinki, Finland
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242
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Chen WT, Tomalová I, Preisler J, Chang HT. Analysis of Biomolecules through Surface-Assisted Laser, Desorption/Ionization Mass Spectrometry Employing Nanomaterials. J CHIN CHEM SOC-TAIP 2011. [DOI: 10.1002/jccs.201190120] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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243
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Goodwin RJA, Mackay CL, Nilsson A, Harrison DJ, Farde L, Andren PE, Iverson SL. Qualitative and quantitative MALDI imaging of the positron emission tomography ligands raclopride (a D2 dopamine antagonist) and SCH 23390 (a D1 dopamine antagonist) in rat brain tissue sections using a solvent-free dry matrix application method. Anal Chem 2011; 83:9694-701. [PMID: 22077717 DOI: 10.1021/ac202630t] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The distributions of positron emission tomography (PET) ligands in rat brain tissue sections were analyzed by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI). The detection of the PET ligands was possible following the use of a solvent-free dry MALDI matrix application method employing finely ground dry α-cyano-4-hydroxycinnamic acid (CHCA). The D2 dopamine receptor antagonist 3,5-dichloro-N-{[(2S)-1-ethylpyrrolidin-2-yl]methyl}-2-hydroxy-6-methoxybenzamide (raclopride) and the D1 dopamine receptor antagonist 7-chloro-3-methyl-1-phenyl-1,2,4,5-tetrahydro-3-benzazepin-8-ol (SCH 23390) were both detected at decreasing abundance at increasing period postdosing. Confirmation of the compound identifications and distributions was achieved by a combination of mass-to-charge ratio accurate mass, isotope distribution, and MS/MS fragmentation imaging directly from tissue sections (performed using MALDI TOF/TOF, MALDI q-TOF, and 12T MALDI-FT-ICR mass spectrometers). Quantitative data was obtained by comparing signal abundances from tissues to those obtained from quantitation control spots of the target compound applied to adjacent vehicle control tissue sections (analyzed during the same experiment). Following a single intravenous dose of raclopride (7.5 mg/kg), an average tissue concentration of approximately 60 nM was detected compared to 15 nM when the drug was dosed at 2 mg/kg, indicating a linear response between dose and detected abundance. SCH 23390 was established to have an average tissue concentration of approximately 15 μM following a single intravenous dose at 5 mg/kg. Both target compounds were also detected in kidney tissue sections when employing the same MSI methodology. This study illustrates that a MSI may well be readily applied to PET ligand research development when using a solvent-free dry matrix coating.
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244
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Fernandez-Lima FA, Post J, DeBord JD, Eller MJ, Verkhoturov SV, Della-Negra S, Woods AS, Schweikert EA. Analysis of native biological surfaces using a 100 kV massive gold cluster source. Anal Chem 2011; 83:8448-53. [PMID: 21967684 PMCID: PMC3236644 DOI: 10.1021/ac201481r] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
In the present work, the advantages of a new, 100 kV platform equipped with a massive gold cluster source for the analysis of native biological surfaces are shown. Inspection of the molecular ion emission as a function of projectile size demonstrates a secondary ion yield increase of ~100× for 520 keV Au(400)(4+) as compared to 130 keV Au(3)(1+) and 43 keV C(60). In particular, yields of tens of percent of molecular ions per projectile impact for the most abundant components can be observed with the 520 keV Au(400)(4+) probe. A comparison between 520 keV Au(400)(4+) time-of-flight-secondary ion mass spectrometry (TOF-SIMS) and matrix assisted laser desorption ionization-mass spectrometry (MALDI-MS) data showed a similar pattern and similar relative intensities of lipid components across a rat brain sagittal section. The abundant secondary ion yield of analyte-specific ions makes 520 keV Au(400)(4+) projectiles an attractive probe for submicrometer molecular mapping of native surfaces.
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Affiliation(s)
| | - Jeremy Post
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, MD 21224
| | - John D. DeBord
- Department of Chemistry, Texas A&M University, College Station, Texas 77843-3255
| | - Michael J. Eller
- Department of Chemistry, Texas A&M University, College Station, Texas 77843-3255
| | | | | | - Amina S. Woods
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, MD 21224
| | - Emile A. Schweikert
- Department of Chemistry, Texas A&M University, College Station, Texas 77843-3255
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245
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Passarelli MK, Winograd N. Lipid imaging with time-of-flight secondary ion mass spectrometry (ToF-SIMS). BIOCHIMICA ET BIOPHYSICA ACTA 2011; 1811:976-90. [PMID: 21664291 PMCID: PMC3199347 DOI: 10.1016/j.bbalip.2011.05.007] [Citation(s) in RCA: 210] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2011] [Revised: 05/13/2011] [Accepted: 05/18/2011] [Indexed: 02/07/2023]
Abstract
Fundamental advances in secondary ion mass spectrometry (SIMS) now allow for the examination and characterization of lipids directly from biological materials. The successful application of SIMS-based imaging in the investigation of lipids directly from tissue and cells are demonstrated. Common complications and technical pitfalls are discussed. In this review, we examine the use of cluster ion sources and cryogenically compatible sample handling for improved ion yields and to expand the application potential of SIMS. Methodological improvements, including pre-treating the sample to improve ion yields and protocol development for 3-dimensional analyses (i.e. molecular depth profiling), are also included in this discussion. New high performance SIMS instruments showcasing the most advanced instrumental developments, including tandem MS capabilities and continuous ion beam compatibility, are described and the future direction for SIMS in lipid imaging is evaluated.
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Affiliation(s)
- Melissa K Passarelli
- Department of Chemistry, Pennsylvania State University, 104 Chemistry Building, University Park
| | - Nicholas Winograd
- Department of Chemistry, Pennsylvania State University, 104 Chemistry Building, University Park
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246
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Alexandrov T, Kobarg JH. Efficient spatial segmentation of large imaging mass spectrometry datasets with spatially aware clustering. Bioinformatics 2011; 27:i230-8. [PMID: 21685075 PMCID: PMC3117346 DOI: 10.1093/bioinformatics/btr246] [Citation(s) in RCA: 95] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Motivation: Imaging mass spectrometry (IMS) is one of the few measurement technology s of biochemistry which, given a thin sample, is able to reveal its spatial chemical composition in the full molecular range. IMS produces a hyperspectral image, where for each pixel a high-dimensional mass spectrum is measured. Currently, the technology is mature enough and one of the major problems preventing its spreading is the under-development of computational methods for mining huge IMS datasets. This article proposes a novel approach for spatial segmentation of an IMS dataset, which is constructed considering the important issue of pixel-to-pixel variability. Methods: We segment pixels by clustering their mass spectra. Importantly, we incorporate spatial relations between pixels into clustering, so that pixels are clustered together with their neighbors. We propose two methods. One is non-adaptive, where pixel neighborhoods are selected in the same manner for all pixels. The second one respects the structure observable in the data. For a pixel, its neighborhood is defined taking into account similarity of its spectrum to the spectra of adjacent pixels. Both methods have the linear complexity and require linear memory space (in the number of spectra). Results: The proposed segmentation methods are evaluated on two IMS datasets: a rat brain section and a section of a neuroendocrine tumor. They discover anatomical structure, discriminate the tumor region and highlight functionally similar regions. Moreover, our methods provide segmentation maps of similar or better quality if compared to the other state-of-the-art methods, but outperform them in runtime and/or required memory. Contact:theodore@math.uni-bremen.de
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Affiliation(s)
- Theodore Alexandrov
- Center for Industrial Mathematics, University of Bremen, 28359 Bremen, Germany.
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247
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Svara FN, Kiss A, Jaskolla TW, Karas M, Heeren RMA. High-Reactivity Matrices Increase the Sensitivity of Matrix Enhanced Secondary Ion Mass Spectrometry. Anal Chem 2011; 83:8308-13. [DOI: 10.1021/ac202222h] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Fabian N. Svara
- FOM Institute for Atomic and Molecular Physics (AMOLF), Science Park 104, 1098 XG Amsterdam, The Netherlands
| | - Andras Kiss
- FOM Institute for Atomic and Molecular Physics (AMOLF), Science Park 104, 1098 XG Amsterdam, The Netherlands
- The Netherlands Proteomics Centre, Padualaan 8, 3584 CH Utrecht, The Netherlands
| | - Thorsten W. Jaskolla
- Cluster of Excellence Macromolecular Complexes, Institute of Pharmaceutical Chemistry, Goethe-University Frankfurt, Max-von-Laue-Strasse 9, 60438 Frankfurt, Germany
- Institute of Medical Physics and Biophysics, University of Muenster, Robert-Koch-Strasse 31, 48149 Muenster, Germany
| | - Michael Karas
- Cluster of Excellence Macromolecular Complexes, Institute of Pharmaceutical Chemistry, Goethe-University Frankfurt, Max-von-Laue-Strasse 9, 60438 Frankfurt, Germany
| | - Ron M. A. Heeren
- FOM Institute for Atomic and Molecular Physics (AMOLF), Science Park 104, 1098 XG Amsterdam, The Netherlands
- The Netherlands Proteomics Centre, Padualaan 8, 3584 CH Utrecht, The Netherlands
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248
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Schmidt MWI, Torn MS, Abiven S, Dittmar T, Guggenberger G, Janssens IA, Kleber M, Kögel-Knabner I, Lehmann J, Manning DAC, Nannipieri P, Rasse DP, Weiner S, Trumbore SE. Persistence of soil organic matter as an ecosystem property. Nature 2011; 478:49-56. [PMID: 21979045 DOI: 10.1038/nature10386] [Citation(s) in RCA: 1282] [Impact Index Per Article: 98.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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249
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Jungmann JH, MacAleese L, Visser J, Vrakking MJJ, Heeren RMA. High dynamic range bio-molecular ion microscopy with the Timepix detector. Anal Chem 2011; 83:7888-94. [PMID: 21882854 DOI: 10.1021/ac2017629] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Highly parallel, active pixel detectors enable novel detection capabilities for large biomolecules in time-of-flight (TOF) based mass spectrometry imaging (MSI). In this work, a 512 × 512 pixel, bare Timepix assembly combined with chevron microchannel plates (MCP) captures time-resolved images of several m/z species in a single measurement. Mass-resolved ion images from Timepix measurements of peptide and protein standards demonstrate the capability to return both mass-spectral and localization information of biologically relevant analytes from matrix-assisted laser desorption ionization (MALDI) on a commercial ion microscope. The use of a MCP-Timepix assembly delivers an increased dynamic range of several orders of magnitude. The Timepix returns defined mass spectra already at subsaturation MCP gains, which prolongs the MCP lifetime and allows the gain to be optimized for image quality. The Timepix peak resolution is only limited by the resolution of the in-pixel measurement clock. Oligomers of the protein ubiquitin were measured up to 78 kDa.
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Affiliation(s)
- Julia H Jungmann
- FOM Institute for Atomic and Molecular Physics (AMOLF), Science Park 104, 1098 XG Amsterdam, The Netherlands
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250
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Abstract
Imaging mass spectrometry tools allow the two-dimensional visualization of the distribution of trace metals, metabolites, surface lipids, peptides and proteins directly from biological samples without the need for chemical tagging or antibodies, and are becoming increasingly useful for microbiology applications. These tools, comprising different imaging mass spectrometry techniques, are ushering in an exciting new era of discovery by enabling the generation of chemical hypotheses based on the spatial mapping of atoms and molecules that can correlate to or transcend observed phenotypes. In this Innovation article, we explore the wide range of imaging mass spectrometry techniques that is available to microbiologists and describe the unique applications of these tools to microbiology with respect to the types of samples to be investigated.
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Affiliation(s)
- Jeramie D. Watrous
- Department of Pharmacology and Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California, USA
| | - Pieter C. Dorrestein
- Department of Pharmacology and Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California, USA
- Center For Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography
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