Three‐dimensional mass spectral imaging of <scp>HeLa</scp>‐M cells – sample preparation, data interpretation and visualisation

Fletcher, John S.; Rabbani, Sadia; Henderson, Alex; Lockyer, Nicholas P.; Vickerman, John C.

doi:10.1002/rcm.4944

Cited by 117 publications

(141 citation statements)

References 33 publications

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“…Care must also be taken when mounting/preparing samples to ensure no height profile artifacts are introduced. Additional care must be taken when mounting cells for analysis in order to avoid analyte delocalization [154]. Methods for the preparation of biological samples for SIMS have been covered in a recent review by Passareli and Winograd and usually involve cryofixation, sectioning and freeze drying for tissue and frozen hydration for cells [21].…”

Section: Secondary Ion Mass Spectrometry (Sims)mentioning

confidence: 99%

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Surface analysis of lipids by mass spectrometry: More than just imaging

Ellis

Brown

Panhuis

et al. 2013

Progress in Lipid Research

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Mass spectrometry is now an indispensable tool for lipid analysis and is arguably the driving force in the renaissance of lipid research. In its various forms, mass spectrometry is uniquely capable of resolving the extensive compositional and structural diversity of lipids in biological systems. Furthermore, it provides the ability to accurately quantify molecular-level changes in lipid populations associated with changes in metabolism and environment; bringing lipid science to the "omics" age. The recent explosion of mass spectrometry-based surface analysis techniques is fuelling further expansion of the lipidomics field. This is evidenced by the numerous papers published on the subject of mass spectrometric imaging of lipids in recent years. While imaging mass spectrometry provides new and exciting possibilities, it is but one of the many opportunities direct surface analysis offers the lipid researcher. In this review we describe the current state-ofthe-art in the direct surface analysis of lipids with a focus on tissue sections, intact cells and thin-layer chromatography substrates. The suitability of these different approaches towards analysis of the major lipid classes along with their current and potential applications in the field of lipid analysis are evaluated. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 2 AbstractMass spectrometry is now an indispensable tool for lipid analysis and is arguably the driving force in the renaissance of lipid research. In its various forms, mass spectrometry is uniquely capable of resolving the extensive compositional and structural diversity of lipids in biological systems. Furthermore, it provides the ability to accurately quantify molecular-level changes in lipid populations associated with changes in metabolism and environment;bringing lipid science to the "omics" age. The recent explosion of mass spectrometry-based surface analysis techniques is fuelling further expansion of the lipidomics field. This is evidenced by the numerous papers published on the subject of mass spectrometric imaging of lipids in recent years. While imaging mass spectrometry provides new and exciting possibilities, it is but one of the many opportunities direct surface analysis offers the lipid researcher. In this review we describe the current state-of-the-art in the direct surface analysis of lipids with a focus on tissue sections, intact cells and thin-layer chromatography substrates.The suitability of these different approaches towards analysis of the major lipid classes along with their current and potential applications in the field of lip...

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Section: Secondary Ion Mass Spectrometry (Sims)mentioning

confidence: 99%

“…Nonetheless, SIMS is currently the only MS-based method providing sub-micron spatial resolution and allowing the distribution of lipids across a cell surface, including 3-D lipid distributions, to be investigated [154], and thus represents an important tool for lipid analysis.…”

Section: Secondary Ion Mass Spectrometry (Sims)mentioning

confidence: 99%

Surface analysis of lipids by mass spectrometry: More than just imaging

Ellis

Brown

Panhuis

et al. 2013

Progress in Lipid Research

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“…[5,12] Successful attempts to increase secondary ion yields involved the enhancement of the protonation of ions with the presence of water during the analysis. [6][7][8] There have been attempts to analyse the sample in a frozen hydrated state (instead of freeze-drying the sample) [9][10][11]13] or to inject water vapour at the sample's surface. [14] Another approach proposed the use of a water vapour electrospray beam as the primary ion beam to explore its effect on secondary ion yields.…”

Section: Introductionmentioning

confidence: 99%

Comparing C₆₀⁺ and (H₂O)_n⁺ clusters for mouse brain tissue analysis

Razo

Sheraz

Henderson

et al. 2014

Surface & Interface Analysis

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Time-of-f light SIMS is applied to the analysis of single cells and different types of biological tissue samples enabling the generation of images with high spatial resolution and chemical specificity. However, the low yield of secondary ions from this type of sample still remains a challenge. This low yield could potentially be increased by enhancing the protonation of ions with the presence of water. Here, we have explored the application of a prototype water cluster ion beam for the analysis of mouse brain tissue samples. A series of experiments acquired with 20 keV (H 2 O) 3000 + and 20 keV (H 2 O) 4500 + were compared with 20 keV C 60 + , showing ion yield enhancement when a (H 2 O) n + cluster ion is employed in the analysis. The results have demonstrated the potential benefits provided by the use of (H 2 O) n + clusters for the analysis of mouse brain tissue samples.

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“…The J105 instrument is an exception to this rule as it uses a DC primary ion beam and therefore is capable of collecting high spatial resolution images with good mass resolution. 27,28) Even with this advantage, the J105 is still limited by low ion yields from biological materials.…”

Section: Introductionmentioning

confidence: 99%

Image and Spectral Processing for ToF-SIMS Analysis of Biological Materials

Graham

Castner

2013

Mass Spectrometry

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Time-of-flight secondary ion mass spectrometry (ToF-SIMS) instruments can rapidly produce large complex data sets. Within each spectrum, there can be hundreds of peaks. A typical 256×256 pixel image contains 65,536 spectra. If this is extended to a 3D image, the number of spectra in a given data set can reach the millions. The challenge becomes how to process these large data sets while taking into account the changes and differences between all the peaks in the spectra. This is particularly challenging for biological materials that all contain the same types of proteins and lipids, just in varying concentrations and spatial distributions. This data analysis challenge is further complicated by the limitations in the ion yield of higher mass, more chemically specific species, and potentially by the processing power of typical computers. Herein we briefly discuss analysis methodologies including univariate analysis, multivariate analysis (MVA) methods, and some of the limitations of ToF-SIMS analysis of biological materials.

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Three‐dimensional mass spectral imaging of HeLa‐M cells – sample preparation, data interpretation and visualisation

Cited by 117 publications

References 33 publications

Surface analysis of lipids by mass spectrometry: More than just imaging

Surface analysis of lipids by mass spectrometry: More than just imaging

Comparing C₆₀⁺ and (H₂O)_n⁺ clusters for mouse brain tissue analysis

Image and Spectral Processing for ToF-SIMS Analysis of Biological Materials

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Three‐dimensional mass spectral imaging of HeLa‐M cells – sample preparation, data interpretation and visualisation

Cited by 117 publications

References 33 publications

Surface analysis of lipids by mass spectrometry: More than just imaging

Surface analysis of lipids by mass spectrometry: More than just imaging

Comparing C60+ and (H2O)n+ clusters for mouse brain tissue analysis

Image and Spectral Processing for ToF-SIMS Analysis of Biological Materials

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Product

Resources

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Comparing C₆₀⁺ and (H₂O)_n⁺ clusters for mouse brain tissue analysis