Literature DB >> 30848927

Metabolic Imaging at the Single-Cell Scale: Recent Advances in Mass Spectrometry Imaging.

Ian S Gilmore1, Sven Heiles2, Cornelius L Pieterse1.   

Abstract

There is an increasing appreciation that every cell, even of the same type, is different. This complexity, when additionally combined with the variety of different cell types in tissue, is driving the need for spatially resolved omics at the single-cell scale. Rapid advances are being made in genomics and transcriptomics, but progress in metabolomics lags. This is partly because amplification and tagging strategies are not suited to dynamically created metabolite molecules. Mass spectrometry imaging has excellent potential for metabolic imaging. This review summarizes the recent advances in two of these techniques: matrix-assisted laser desorption ionization (MALDI) and secondary ion mass spectrometry (SIMS) and their convergence in subcellular spatial resolution and molecular information. The barriers that have held back progress such as lack of sensitivity and the breakthroughs that have been made including laser-postionization are highlighted as well as the future challenges and opportunities for metabolic imaging at the single-cell scale.

Entities:  

Keywords:  MALDI; SIMS; mass spectrometry imaging; matrix-assisted laser desorption ionization; metabolite; postionization; secondary ion mass spectrometry; single-cell

Mesh:

Year:  2019        PMID: 30848927     DOI: 10.1146/annurev-anchem-061318-115516

Source DB:  PubMed          Journal:  Annu Rev Anal Chem (Palo Alto Calif)        ISSN: 1936-1327            Impact factor:   10.745


  28 in total

1.  Analytical challenges of shotgun lipidomics at different resolution of measurements.

Authors:  Jianing Wang; Xianlin Han
Journal:  Trends Analyt Chem       Date:  2019-10-17       Impact factor: 12.296

2.  An American Physiological Society cross-journal Call for Papers on "Deconstructing Organs: Single-Cell Analyses, Decellularized Organs, Organoids, and Organ-on-a-Chip Models".

Authors:  Josephine C Adams; P Darwin Bell; Sue C Bodine; Heddwen L Brooks; Nigel Bunnett; Bina Joe; Kara Hansell Keehan; Thomas R Kleyman; André Marette; Rory E Morty; Jan-Marino Ramírez; Morten B Thomsen; Bill J Yates; Irving H Zucker
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2020-07-01       Impact factor: 5.464

Review 3.  Immunometabolism in the Single-Cell Era.

Authors:  Maxim N Artyomov; Jan Van den Bossche
Journal:  Cell Metab       Date:  2020-10-06       Impact factor: 27.287

Review 4.  The evolving metabolic landscape of chromatin biology and epigenetics.

Authors:  Ziwei Dai; Vijyendra Ramesh; Jason W Locasale
Journal:  Nat Rev Genet       Date:  2020-09-09       Impact factor: 53.242

5.  Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence.

Authors:  Theodore Alexandrov
Journal:  Annu Rev Biomed Data Sci       Date:  2020-04-13

6.  Single-Cell Metabolic Profiling of Macrophages Using 3D OrbiSIMS: Correlations with Phenotype.

Authors:  Waraporn Suvannapruk; Max K Edney; Dong-Hyun Kim; David J Scurr; Amir M Ghaemmaghami; Morgan R Alexander
Journal:  Anal Chem       Date:  2022-06-17       Impact factor: 8.008

7.  Predictive Modeling for Metabolomics Data.

Authors:  Tusharkanti Ghosh; Weiming Zhang; Debashis Ghosh; Katerina Kechris
Journal:  Methods Mol Biol       Date:  2020

Review 8.  Decoding Cancer Biology One Cell at a Time.

Authors:  Itay Tirosh; Mario L Suvà; L Nicolas Gonzalez Castro
Journal:  Cancer Discov       Date:  2021-04       Impact factor: 38.272

Review 9.  Circadian and Sleep Metabolomics Across Species.

Authors:  Dania M Malik; Georgios K Paschos; Amita Sehgal; Aalim M Weljie
Journal:  J Mol Biol       Date:  2020-05-03       Impact factor: 5.469

Review 10.  A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis.

Authors:  Aleksandr Bobrovskikh; Alexey Doroshkov; Stefano Mazzoleni; Fabrizio Cartenì; Francesco Giannino; Ulyana Zubairova
Journal:  Front Genet       Date:  2021-05-21       Impact factor: 4.599

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