Characterization of a novel miniaturized burst-mode infrared laser system for IR-MALDESI mass spectrometry imaging

Ekelöf, Måns; Manni, Jeffrey G.; Nazari, Milad; Bokhart, Mark T.; Muddiman, David C.

doi:10.1007/s00216-018-0918-9

Cited by 32 publications

(35 citation statements)

References 25 publications

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“…In addition, laser dissection was performed to isolate leaf areas for mass spectrometry imaging. Samples were brought to the IR-MALDESI system, the principles and specificities of which have been enumerated in detail in previous reports (Robichaud et al, 2014;Bokhart and Muddiman, 2016;Ekel€ of et al, 2018). For these experiments, due to the biological importance of rapid analysis, the samples were analyzed from the stage at atmospheric temperature, and a 2.94 mm mid-IR laser was used to desorb the material (Ekel€ of et al, 2018).…”

Section: Mass Spectrometry Imagingmentioning

confidence: 99%

“…Samples were brought to the IR-MALDESI system, the principles and specificities of which have been enumerated in detail in previous reports (Robichaud et al, 2014;Bokhart and Muddiman, 2016;Ekel€ of et al, 2018). For these experiments, due to the biological importance of rapid analysis, the samples were analyzed from the stage at atmospheric temperature, and a 2.94 mm mid-IR laser was used to desorb the material (Ekel€ of et al, 2018). The desorbed neutral plant material was ionized in an orthogonal electrospray plume (50% methanol with 1 mM acetic acid at 2 ml/min for negative mode and 50% methanol with 0.2% formic acid at 2 ml/min for positive mode).…”

Section: Mass Spectrometry Imagingmentioning

confidence: 99%

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Artemisinin Biosynthesis in Non-glandular Trichome Cells of Artemisia annua

Judd

Bagley

et al. 2019

Molecular Plant

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Artemisinin-based combination therapy (ACT) forms the first line of malaria treatment. However, the yield fluctuation of artemisinin has remained an unsolved problem in meeting the global demand for ACT. This problem is mainly caused by the glandular trichome (GT)-specific biosynthesis of artemisinin in all currently used Artemisia annua cultivars. Here, we report that non-GT cells of self-pollinated inbred A. annua plants can express the artemisinin biosynthetic pathway. Gene expression analysis demonstrated the transcription of six known pathway genes in GT-free leaves and calli of inbred A. annua plants. LC-qTOF-MS/MS analysis showed that these two types of GT-free materials produce artemisinin, artemisinic acid, and arteannuin B. Detailed IR-MALDESI image profiling revealed that these three metabolites and dihydroartemisinin are localized in non-GT cells of leaves of inbred A. annua plants. Moreover, we employed all the above approaches to examine artemisinin biosynthesis in the reported A. annua glandless (gl) mutant. The resulting data demonstrated that leaves of regenerated gl plantlets biosynthesize artemisinin. Collectively, these findings not only add new knowledge leading to a revision of the current dogma of artemisinin biosynthesis in A. annua but also may expedite innovation of novel metabolic engineering approaches for high and stable production of artemisinin in the future.

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Section: Mass Spectrometry Imagingmentioning

confidence: 99%

Section: Mass Spectrometry Imagingmentioning

confidence: 99%

Artemisinin Biosynthesis in Non-glandular Trichome Cells of Artemisia annua

Judd

Bagley

et al. 2019

Molecular Plant

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“…We illustrated how METASPACE facilitates metabolite annotation for imaging MS, reveals the state of the art of the imaging MS technology, enables large-scale analysis of spatial metabolomes, and supports drug development. METASPACE, although not yet published, was already used in several publications [37][38][39][40][41][42][43] and highlighted in numerous reviews that indicates the significance and uniqueness of this resource for the imaging MS field. With the current rate of growth of 1000 datasets a year, its molecular and biological coverage will soon increase enough to provide spatial metabolomics atlases for various tissues, organs, and organisms.…”

Section: Discussionmentioning

confidence: 99%

METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease

Alexandrov

Ovchinnikova²,

Palmer³

et al. 2019

Preprint

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Metabolites, lipids, and other small molecules are key constituents of tissues supporting cellular programs in health and disease. Here, we present METASPACE, a community-populated knowledge base of spatial metabolomes from imaging mass spectrometry data. METASPACE is enabled by a high-performance engine for metabolite annotation in a confidence-controlled way that makes results comparable between experiments and laboratories. By sharing their results publicly, engine users continuously populate a knowledge base of annotated spatial metabolomes in tissues currently including over 3000 datasets from human cancer cohorts, whole-body sections of animal models, and various organs. The spatial metabolomes can be visualized, explored and shared using a web app as well as accessed programmatically for large-scale analysis. By using novel computational methods inspired by natural language processing, we illustrate that METASPACE provides molecular coverage beyond the capacity of any individual laboratory and opens avenues towards comprehensive metabolite atlases on the levels of tissues and organs.

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“…The imaging source and experimental procedures have been described in its recent configuration previously [28]. A mid-IR (2.94 μm) laser from JGMA Associates (Burlington, MA, USA) was used for laser sampling in all experiments [37]. Tissue regions of interest were imaged at 200 μm spatial resolution, with each mass spectrum generated from a single burst of 10 pulses of 100 μJ at 10 kHz.…”

Section: Methodsmentioning

confidence: 99%

IR-MALDESI mass spectrometry imaging of underivatized neurotransmitters in brain tissue of rats exposed to tetrabromobisphenol A

et al. 2018

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There is a pressing need to develop tools for assessing possible neurotoxicity, particularly for chemicals where the mode of action is poorly understood. Tetrabromobisphenol a (TBBPA), a highly abundant brominated flame retardant, has lately been targeted for neurotoxicity analysis by concerned public health entities in the EU and United States because it is a suspected thyroid disruptor and neurotoxicant. In this study, infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) coupled to a Q Exactive Plus mass spectrometer was used for the analysis of neurotransmitters in the brains of rats exposed to TBBPA in gestation and lactation through their mothers. Three neurotransmitters of interest were studied in three selected regions of the brain; caudate putamen, substantia nigra (SN) and dorsal raphe. Stable Isotope Labelled (SIL) standards were used as internal standards and a means to achieve relative quantification. This study serves as a demonstration of a new application of IR-MALDESI, namely that neurotransmitter distributions can be confidently and rapidly imaged without derivatization.

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Characterization of a novel miniaturized burst-mode infrared laser system for IR-MALDESI mass spectrometry imaging

Cited by 32 publications

References 25 publications

Artemisinin Biosynthesis in Non-glandular Trichome Cells of Artemisia annua

Artemisinin Biosynthesis in Non-glandular Trichome Cells of Artemisia annua

METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease

IR-MALDESI mass spectrometry imaging of underivatized neurotransmitters in brain tissue of rats exposed to tetrabromobisphenol A

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