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Mass spectrometry imaging and profiling of single cells

Open access
Lanni, Eric J., Rubakhin, Stanislav S., Sweedler, Jonathan V.·2012·Journal of Proteomics

Abstract

Mass spectrometry imaging and profiling of individual cells and subcellular structures provide unique analytical capabilities for biological and biomedical research, including determination of the biochemical heterogeneity of cellular populations and intracellular localization of pharmaceuticals. Two mass spectrometry technologies—secondary ion mass spectrometry (SIMS) and matrix assisted laser desorption ionization mass spectrometry (MALDI MS)—are most often used in micro-bioanalytical investigations. Recent advances in ion probe technologies have increased the dynamic range and sensitivity of analyte detection by SIMS, allowing two- and three-dimensional localization of analytes in a variety of cells. SIMS operating in the mass spectrometry imaging (MSI) mode can routinely reach spatial resolutions at the submicron level; therefore, it is frequently used in studies of the chemical composition of subcellular structures. MALDI MS offers a large mass range and high sensitivity of analyte detection. It has been successfully applied in a variety of single-cell and organelle profiling studies. Innovative instrumentation such as scanning microprobe MALDI and mass microscope spectrometers enable new subcellular MSI measurements. Other approaches for MS-based chemical imaging and profiling include those based on near-field laser ablation and inductively-coupled plasma MS analysis, which offer complementary capabilities for subcellular chemical imaging and profiling.

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Crossref · 10.1016/j.jprot.2012.03.017

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Metadata

Authors
Lanni, E. J., Rubakhin, S. S., & Sweedler, J. V.
Venue
Journal of Proteomics
Publisher
Elsevier BV
Published
2012-08
Volume
75
Issue
16
Pages
5036-5051
ISSN
1874-3919 (ISSN-L)
OpenAlex
W2049554068
Cited by
201
References
3
FWCI
8.38
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mass spectrometry imaging and profiling of single cells. https://app.cochat.ai/papers/10.1016/j.jprot.2012.03.017
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Lanni, E. J., Rubakhin, S. S., & Sweedler, J. V. (2012). Mass spectrometry imaging and profiling of single cells. Journal of Proteomics. https://doi.org/10.1016/j.jprot.2012.03.017

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.