Tissue Molecular Ion Imaging by Gold Cluster Ion Bombardment

The use of gold cluster focused ion beams produced by a liquid metal ion gun in a TOF-SIMS mass spectrometer is shown to dramatically enhance secondary ion emission of phospholipids and peptides. The method has been successfully tested with cells grown onto plastic slips and with mouse brain slices, without any treatment of the samples. Very reliable time-of-flight mass spectra are acquired with a low primary ion dose of a few 10(7) ions, and high lateral resolution molecular ion images are obtained for heavy ions of great biological interest. This approach offers new opportunities in pharmacological and biological research fields by localizing compounds of interest such as drugs or metabolites in tissues.

Bioimaging TOF-SIMS: High resolution 3D imaging of single cells

The distribution of phosphocholine ions (m/z 184, m/z 86), sodium ions, and potassium ions in thyroid tumor cells was analyzed by imaging TOF-SIMS. Repeated sputtering with a C(60) (+) source and subsequent analysis with a Bi(3) (+) gun produced a series of 138 images that were stacked to make a 3D display of the chemistry of cells. Phosphocholine was seen in the plasma membrane (m/z 184) and intracellular membranes (m/z 86). The different fragmentation of the phospholipid probably reflects the chemical composition of membranes at these sites. High intensity of secondary ion signals of potassium was seen in membrane-encompassed cellular compartments. The data indicate that potassium ions are compartmentalized in thyroid tumor cells.

Localization of cholesterol, phosphocholine and galactosylceramide in rat cerebellar cortex with imaging TOF-SIMS equipped with a bismuth cluster ion source

Time-of-flight secondary-ion-mass-spectrometry (TOF-SIMS) was utilized to address the issue of co-localization of cholesterol, phosphocholine and galactosylceramide in rat cerebellar cortex. Rat cerebellum was fixed, freeze-protected by sucrose, frozen and sectioned by cryoultramicrotomy and dried at room temperature. The samples were analyzed in an imaging TOF-SIMS instrument equipped with a Bi(1-7)+-source. The cholesterol signal (m/z 369 and 385) was localized in Purkinje cells and in nuclei of granular layer cells. The phosphocholine headgroup of phosphatidylcholine and sphingomyelin was localized by imaging a specific fragment (m/z 86). This signal was localized in the molecular layer of cerebellar cortex, in Purkinje cells and in parts of the granular layer probably representing the synapse-rich glomeruli. The galactosylceramide was localized by imaging the quasi-molecular ions at m/z 835 and 851, showed a clear colocalization with cholesterol, but also a specific localization in dots (diameter <or=700 nm) in the molecular layer in the vicinity of Purkinje cells, at Purkinje cells and at cells in the granular layer. The results show a heterogeneous distribution of lipids between different cell types not previously described. In order to avoid redistribution artefacts, controls were made by a technique, based on high pressure freezing ,freeze fracturing and freeze drying of samples which were then analyzed by bombardment with a Bi3+ liquid metal ion gun. The galactosylceramide and cholesterol were found distributed as spots in the granular layer. The spots were of homogeneous size with a diameter of <700 nm. Although the galactosylceramide and cholesterol were localized to the same areas, there were clear differences in their distribution at higher resolution.

Localization of lipids in the aortic wall with imaging TOF-SIMS

Time-of-flight secondary-ion-mass-spectrometry (TOF-SIMS) was utilized to address the issue of localization of lipids and inorganic ions in healthy rat aorta and human atherosclerotic plaque. Pieces of rat aorta were high pressure frozen, freeze-fractured and freeze dried. The samples were analyzed by imaging TOF-SIMS equipped with a Bi(1-7)(+)-source. Reference lipid samples were analyzed and compared to data obtained by analysis of the rat aorta samples. Fatty acids, cholesterol, oxysterol and diacylglycerols were detected and localized. A heterogeneous lipid distribution could be shown in the aorta, where the lamellae of the aorta, distinguished by imaging of CN(-), appeared enriched in cholesterol, oxysterol and diacylglycerols, while the smooth muscle tissue, identified by imaging of PO(3), appeared enriched in phosphocholine. Palmitic/palmitoleic acid and stearic/oleic acid appeared to be heterogeneously distributed over the aorta with high concentration areas located especially in the tunica media region of the aorta. Human atherosclerotic plaque showed an irregular cholesterol distribution mainly located in spots in the intima region with elongated diacylglycerol regions located mainly in the media region.

Cloning of a full-length complementary DNA for fatty-acid-binding protein from bovine heart

A full-length cDNA for bovine heart fatty-acid-binding protein (H-FABP) was cloned from a lambda gt11 cDNA library established from bovine heart muscle. The cDNA sequence shows an open reading frame coding for a protein with 133 amino acids. Colinearity with the amino acid sequences of four tryptic peptides was asserted. H-FABP isolated from bovine heart begins with an N-acetylated valine residue, however, as derived from analysis of the tryptic, amino-terminal-blocked peptide and the molecular mass of the peptide obtained via secondary-ion mass spectrometry. The molecular mass of the total protein is 14673 Da. Bovine H-FABP is 89% homologous to rat H-FABP and 97% homologous to the bovine mammary-derived growth-inhibition factor described recently by Böhmer et al. [J. Biol. Chem. 262, 15137-15143 (1987)]. Significant homologies were also found with bovine myelin protein P2 and murine adipocyte protein p422. Secondary-structure predictions were proposed for these proteins, based on computer analysis, which reveal striking similarities.

Distribution of cholesterol and galactosylceramide in rat cerebellar white matter

White matter and the inner granular layer of rat cerebellum was analysed by imaging time-of-flight secondary-ion mass spectrometry (TOF-SIMS) equipped with a Bi+ ion cluster gun. Samples were prepared by high pressure freezing, freeze-fracturing and freeze drying or by plunge freezing and cryostat sectioning. The identified and localized chemical species were: sodium, potassium, phosphocholine, cholesterol and galactosylceramide (GalC) with carbon chain lengths C18:0 (N-stearoyl-galactosylceramide) and C24:0 (N-lignoceroylgalactosylceramide) with CH24:0 (hydroxy-lignoceroylgalactosylceramide). We report new findings regarding the organization of myelin in white matter. One is cholesterol-rich, ribbon-shaped 10-20 microm areas excluding Na+ and K+. The second finding is the different distribution of GalC C18 and GalC C24 in relation to these areas, where GalC C18 was localized in cholesterol-rich areas and GalC C24 was localized in Na/K-enriched areas. The distribution of GalC was in small spots, homogeneous in size, of 0.8-1.5 microm. Sample preparation with high pressure freezing allowed separate localization of sodium and potassium in tissue samples.

Imaging TOF-SIMS of rat kidney prepared by high-pressure freezing

Phosphocholine, potassium ions, and sodium ions were localized in rat kidney with imaging TOF-SIMS. Tissue preparation was performed with high-pressure freezing, freeze-fracturing and freeze-drying. The distribution of sodium ions was visualized by imaging the signal at m/z 23 of positively charged secondary ions, and the distribution of potassium ions was visualized by imaging the signal at m/z 39. Potassium was found localized within cells of the proximal tubulus epithelium and within cells of the glomeruli. High signals of sodium ions were seen in the interstitial tissue and also in epithelial cells of the collecting ducts and in glomeruli. The overlay image showed that the distribution of sodium ions and potassium ions were largely complementary with color mixing in glomeruli and in the interstitium surrounding proximal tubules. The ion distribution was further analyzed by correlation analysis. Phosphocholine-containing phospholipids were visualized by imaging the phosphocholine head group at m/z 184 of positively charged ions. The m/z 184 signal shows a ubiquitous distribution with a high intensity of phosphocholine in epithelial cells. Overlay image of m/z 184, m/z 39, and m/z 23 and multivariate analysis showed that the localization of high levels of phosphocholine colocalizes with high levels of potassium ions, as expected for an ion with intracellular localization.

Lipid specificity of surfactant protein B studied by time-of-flight secondary ion mass spectrometry

One of the key functions of mammalian pulmonary surfactant is the reduction of surface tension to minimal values. To fulfill this function it is expected to become enriched in dipalmitoylphosphatidylcholine either on its way from the alveolar type II pneumocytes to the air/water interface of the lung or within the surface film during compression and expansion of the alveoli during the breathing cycle. One protein that may play a major role in this enrichment process is the surfactant protein B. The aim of this study was to identify the lipidic interaction partner of this protein. Time-of-flight secondary ion mass spectrometry was used to analyze the lateral distribution of the components in two SP-B-containing model systems. Either native or partly isotopically labeled lipids were analyzed. The results of both setups give strong indications that, at least under the specific conditions of the chosen model systems (e.g., concerning pH and lipid composition), the lipid interacting with surfactant protein B is not phosphatidylglycerol as generally accepted, but dipalmitoylphosphatidylcholine instead.

Localization of Fatty Acids with Selective Chain Length by Imaging Time-of-Flight Secondary Ion Mass Spectrometry

Localization of fatty acids in biological tissues was made by using TOF-SIMS (time-of-flight secondary ion mass spectrometry). Two cell-types with a specific fatty acid distribution are shown. In rat cerebellum, different distribution patterns of stearic acid (C18:0), palmitic acid (C16:0), and oleic acid (C18:1) were found. Stearic acid signals were observed accumulated in Purkinje cells with high intensities inside the cell, but not in the nucleus region. The signals colocalized with high intensity signals of the phosphocholine head group, indicating origin from phosphatidylcholine or sphingomyelin. In mouse intestine, high palmitic acid signals were found in the secretory crypt cells together with high levels of phosphorylinositol colocalized in the crypt region. Palmitic acid was also seen in the intestinal lumen that contains high amounts of mucine, which is known to be produced in the crypt cells. Linoleic acid signals (C18:2) were low in the crypt region and high in the villus region. Oleic acid signals were seen in the villi and stearic acid signals were ubiquitous with no specific localization in the intestine. We conclude that the results obtained by using imaging TOF-SIMS are consistent with known brain and intestine biochemistry and that the localization of fatty acids is specific in differentiated cells.

Detection of SiO2 nanoparticles in lung tissue by ToF-SIMS imaging and fluorescence microscopy

We demonstrate the suitability of the ToF-SIMS technique for the detection of SiO₂ nanoparticles in lung tissue sections by a comparison to fluorescence microscopy.

Reliable Surface Analysis Data of Nanomaterials in Support of Risk Assessment Based on Minimum Information Requirements

The minimum information requirements needed to guarantee high-quality surface analysis data of nanomaterials are described with the aim to provide reliable and traceable information about size, shape, elemental composition and surface chemistry for risk assessment approaches. The widespread surface analysis methods electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), X-ray photoelectron spectroscopy (XPS) and secondary ion mass spectrometry (SIMS) were considered. The complete analysis sequence from sample preparation, over measurements, to data analysis and data format for reporting and archiving is outlined. All selected methods are used in surface analysis since many years so that many aspects of the analysis (including (meta)data formats) are already standardized. As a practical analysis use case, two coated TiO2 reference nanoparticulate samples, which are available on the Joint Research Centre (JRC) repository, were selected. The added value of the complementary analysis is highlighted based on the minimum information requirements, which are well-defined for the analysis methods selected. The present paper is supposed to serve primarily as a source of understanding of the high standardization level already available for the high-quality data in surface analysis of nanomaterials as reliable input for the nanosafety community.

Evaluation of Time-of-Flight Secondary Ion Mass Spectrometry Spectra of Peptides by Random Forest with Amino Acid Labels: Results from a Versailles Project on Advanced Materials and Standards Interlaboratory Study

We report the results of a VAMAS (Versailles Project on Advanced Materials and Standards) interlaboratory study on the identification of peptide sample TOF-SIMS spectra by machine learning. More than 1000 time-of-flight secondary ion mass spectrometry (TOF-SIMS) spectra of six peptide model samples (one of them was a test sample) were collected using 27 TOF-SIMS instruments from 25 institutes of six countries, the U. S., the U. K., Germany, China, South Korea, and Japan. Because peptides have systematic and simple chemical structures, they were selected as model samples. The intensity of peaks in every TOF-SIMS spectrum was extracted using the same peak list and normalized to the total ion count. The spectra of the test peptide sample were predicted by Random Forest with 20 amino acid labels. The accuracy of the prediction for the test spectra was 0.88. Although the prediction of an unknown peptide was not perfect, it was shown that all of the amino acids in an unknown peptide can be determined by Random Forest prediction and the TOF-SIMS spectra. Moreover, the prediction of peptides, which are included in the training spectra, was almost perfect. Random Forest also suggests specific fragment ions from an amino acid residue Q, whose fragment ions detected by TOF-SIMS have not been reported, in the important features. This study indicated that the analysis using Random Forest, which enables translation of the mathematical relationships to chemical relationships, and the multi labels representing monomer chemical structures, is useful to predict the TOF-SIMS spectra of an unknown peptide.