Literature DB >> 26613199

Matrix assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) for direct visualization of plant metabolites in situ.

Drew Sturtevant1, Young-Jin Lee2, Kent D Chapman3.   

Abstract

Direct visualization of plant tissues by matrix assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) has revealed key insights into the localization of metabolites in situ. Recent efforts have determined the spatial distribution of primary and secondary metabolites in plant tissues and cells. Strategies have been applied in many areas of metabolism including isotope flux analyses, plant interactions, and transcriptional regulation of metabolite accumulation. Technological advances have pushed achievable spatial resolution to subcellular levels and increased instrument sensitivity by several orders of magnitude. It is anticipated that MALDI-MSI and other MSI approaches will bring a new level of understanding to metabolomics as scientists will be encouraged to consider spatial heterogeneity of metabolites in descriptions of metabolic pathway regulation.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2015        PMID: 26613199     DOI: 10.1016/j.copbio.2015.10.004

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  30 in total

1.  Overlapping MALDI-Mass Spectrometry Imaging for In-Parallel MS and MS/MS Data Acquisition without Sacrificing Spatial Resolution.

Authors:  Rebecca L Hansen; Young Jin Lee
Journal:  J Am Soc Mass Spectrom       Date:  2017-05-10       Impact factor: 3.109

2.  Five Micron High Resolution MALDI Mass Spectrometry Imaging with Simple, Interchangeable, Multi-Resolution Optical System.

Authors:  Adam D Feenstra; Maria Emilia Dueñas; Young Jin Lee
Journal:  J Am Soc Mass Spectrom       Date:  2017-01-03       Impact factor: 3.109

3.  Tissue-specific differences in metabolites and transcripts contribute to the heterogeneity of ricinoleic acid accumulation in Ricinus communis L. (castor) seeds.

Authors:  Drew Sturtevant; Trevor B Romsdahl; Xiao-Hong Yu; David J Burks; Rajeev K Azad; John Shanklin; Kent D Chapman
Journal:  Metabolomics       Date:  2019-01-03       Impact factor: 4.290

4.  Analysis of Chemotherapeutic Drug Delivery at the Single Cell Level Using 3D-MSI-TOF-SIMS.

Authors:  Quentin P Vanbellingen; Anthony Castellanos; Monica Rodriguez-Silva; Iru Paudel; Jeremy W Chambers; Francisco A Fernandez-Lima
Journal:  J Am Soc Mass Spectrom       Date:  2016-08-31       Impact factor: 3.109

5.  Diversity and Distribution of Bacteria Producing Known Secondary Metabolites.

Authors:  Jadranka Nappi; Erika Soldi; Suhelen Egan
Journal:  Microb Ecol       Date:  2019-04-23       Impact factor: 4.552

6.  Two Acyltransferases Contribute Differently to Linolenic Acid Levels in Seed Oil.

Authors:  Sofia Marmon; Drew Sturtevant; Cornelia Herrfurth; Kent Chapman; Sten Stymne; Ivo Feussner
Journal:  Plant Physiol       Date:  2017-02-24       Impact factor: 8.340

7.  In Situ Localization of Plant Lipid Metabolites by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI-MSI).

Authors:  Drew Sturtevant; Mina Aziz; Trevor B Romsdahl; Chase D Corley; Kent D Chapman
Journal:  Methods Mol Biol       Date:  2021

8.  Spatial and Temporal Mapping of Key Lipid Species in Brassica napus Seeds.

Authors:  Helen K Woodfield; Drew Sturtevant; Ljudmilla Borisjuk; Eberhard Munz; Irina A Guschina; Kent Chapman; John L Harwood
Journal:  Plant Physiol       Date:  2017-02-10       Impact factor: 8.340

9.  Lipid metabolites in seeds of diverse Gossypium accessions: molecular identification of a high oleic mutant allele.

Authors:  Drew Sturtevant; Patrick Horn; Christopher Kennedy; Lori Hinze; Richard Percy; Kent Chapman
Journal:  Planta       Date:  2016-12-17       Impact factor: 4.116

Review 10.  RECOGNITION AND AVOIDANCE OF ION SOURCE-GENERATED ARTIFACTS IN LIPIDOMICS ANALYSIS.

Authors:  Changfeng Hu; Wenqing Luo; Jie Xu; Xianlin Han
Journal:  Mass Spectrom Rev       Date:  2020-09-30       Impact factor: 10.946

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