scholarly journals Mass Spectrometry Imaging with Single-Cell Resolution: Spatial Distribution of Lipids in Cotton Seeds

2012 ◽  
Vol 24 (2) ◽  
pp. 371-371 ◽  
Author(s):  
Jennifer Mach
2021 ◽  
Author(s):  
Laura Righetti ◽  
Dhaka Ram Bhandari ◽  
Enrico Rolli ◽  
Sara Tortorella ◽  
Renato Bruni ◽  
...  

2019 ◽  
Vol 8 (1) ◽  
pp. 675-682 ◽  
Author(s):  
Tatsuya Sagara ◽  
Dhaka Ram Bhandari ◽  
Bernhard Spengler ◽  
Johann Vollmann

2013 ◽  
Vol 10 (1) ◽  
pp. 17-20 ◽  
Author(s):  
Hassan Dihazi ◽  
Rainer Bohrer ◽  
Olaf Jahn ◽  
Christof Lenz ◽  
Andrzej Majcherczyk ◽  
...  

2020 ◽  
Vol 59 (40) ◽  
pp. 17447-17450 ◽  
Author(s):  
Klára Ščupáková ◽  
Frédéric Dewez ◽  
Axel K. Walch ◽  
Ron M. A. Heeren ◽  
Benjamin Balluff

2011 ◽  
Vol 8 (5) ◽  
pp. 591-604 ◽  
Author(s):  
Kristin J Boggio ◽  
Emmanuel Obasuyi ◽  
Ken Sugino ◽  
Sacha B Nelson ◽  
Nathalie YR Agar ◽  
...  

2019 ◽  
Vol 12 (1) ◽  
pp. 201-224 ◽  
Author(s):  
Ian S. Gilmore ◽  
Sven Heiles ◽  
Cornelius L. Pieterse

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.


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