Characterization of adsorbed protein films by time of flight secondary ion mass spectrometry

Lhoest, Jacques; Wagner, Mary B.; Tidwell, Caren D.; Castner, David G.

doi:10.1002/1097-4636(20011205)57:3<432::aid-jbm1186>3.0.co;2-g

Cited by 169 publications

(137 citation statements)

References 21 publications

(23 reference statements)

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“…The statistical method for the analysis of TOF-SIMS data was informed by the papers Lhoest et al (24,25) and Wagner et al (38,39). A statistical analysis was conducted to identify the molecules adsorbing from BALF to PM2.5.…”

Section: Pm2mentioning

confidence: 99%

Fine airborne urban particles (PM_2.5) sequester lung surfactant and amino acids from human lung lavage

Kendall¹

2007

American Journal of Physiology-Lung Cellular and Molecular Phys

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Kendall M. Fine airborne urban particles (PM2.5) sequester lung surfactant and amino acids from human lung lavage. Am J Physiol Lung Cell Mol Physiol 293: L1053-L1058, 2007. First published July 6, 2007; doi:10.1152/ajplung.00131.2007.-Components of surfactant act as opsonins and enhance phagocytosis of bacteria; whether this process occurs with atmospheric fine particles has not been shown. We have studied the interactions of fine particles (urban PM2.5) and surfactant removed from normal human lungs by lavage, using a surface analysis technique. The aim was to identify which of the chemical components of brochoalveolar lavage (BAL) deposit on the surfaces of urban PM 2.5. Deposition of surfactant components on urban PM2.5 surfaces was reported in previous studies, but molecular identification and relative quantification was not possible using simple data analysis. In this study, we were able to identify adsorbed components by applying an appropriate statistical technique, factor analysis. In this study, the most strongly associated mass fragment on PM2.5 surfaces exposed to BAL (and undetected on both untreated samples and saline controls) was di-palmitoyl-phosphatidylcholine, a component of lung surfactant. Amino acids were also strongly associated with BAL-exposed PM2.5 surfaces and not other sample types. Thirteen mass fragments were identified, diagnostic of the amino acids alanine, arginine, asparagine, aspartic acid, glutamic acid, glutamine, glycine, histidine, isoleucine, leucine, lysine, methionine, serine, and valine. This study provides evidence that lung surfactant and amino acids related to opsonin proteins adsorb to nonbiological particle surfaces exposed to human lung lining fluid. Disruption of normal surfactant function, both physical and immunological, is possible but unproven. Further work on this PM-opsonin interaction is recommended. bronchoalveolar lavage EPIDEMIOLOGICAL STUDIES have shown that exposure to particulate air pollutants damages health (32). The exact mechanisms further underlying these air pollution effects remain unknown, although recent work (29, 39) has shown that cardiovascular system (acutely) and the developing respiratory system (chronic effects; Ref. 11) are most significantly affected. Effects on the cardiovascular system were seen on the day of exposure, indicating immediate short-term effects that were detectable within hours of exposures. It is likely that sensitivity to particles varies across the population with the young, the elderly, and those with preexisting cardio-respiratory disease being most at risk (31). Effects occur at ambient concentrations in industrial countries: These concentrations are low compared with concentrations recorded in earlier periods and with those common, now, in developing countries (8). Epidemiological and toxicological studies have demonstrated associations between specific PM characteristics and increased mortality and morbidity. Implicated characteristics include surface area, metals, acidic components, oxidative stress potent...

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Section: Pm2mentioning

confidence: 99%

Fine airborne urban particles (PM_2.5) sequester lung surfactant and amino acids from human lung lavage

Kendall¹

2007

American Journal of Physiology-Lung Cellular and Molecular Phys

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“…TOF-SIMS generates comprehensive spectral data and is therefore attracting increasing interest as a tool for classifying biological samples [5][6][7]. However, since the method is only semiquantitative and visual interpretation of spectra is difficult, multivariate analysis of the acquired data is often very useful [7][8][9]. Thus, multivariate analysis was applied here, using principal component analysis followed by orthogonal partial least squares (OPLS), to screen TOF-SIMS spectra.…”

mentioning

confidence: 99%

TOF-SIMS analysis of exhaled particles from patients with asthma and healthy controls

Almstrand

Josefson²,

Bredberg³

et al. 2011

Eur Respir J

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Particles in exhaled air (PEx) may reflect the composition of respiratory tract lining fluid (RTLF); thus, there is a need to assess their potential as sources of biomarkers for respiratory diseases. In the present study, we compared PEx from patients with asthma and controls using time-of-flight-secondary ion mass spectrometry (TOF-SIMS) and multivariate analysis.Particles were collected using an instrument developed in-house. 15 nonsmoking subjects with physician-diagnosed asthma and 11 nonsmoking healthy controls performed 10 consecutive forced exhalations into the instrument. Particle concentrations were recorded and samples of particles collected on silicon plates were analysed by TOF-SIMS.Subjects with asthma exhaled significantly lower numbers of particles than controls (p50.03) and the ratio of unsaturated to saturated phospholipids was significantly lower in samples from subjects with asthma (0.25 versus 0.35; p50.036). Orthogonal partial least squares-discriminant analysis models showed good separation between both positive and negative spectra. Molecular ions from phosphatidylcholine and phosphatidylglycerol, and protein fragments were found to discriminate the groups.We conclude that analysis of PEx is a promising method to examine the composition of RTLF. In the present explorative study, we could discriminate between subjects with asthma and healthy controls based on TOF-SIMS spectra from PEx.

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“…Anti-hCG orientation on different substrates could also be tracked by ratioing the intensities of ToF-SIMS peaks from amino acids more prevalent in one fragment than in the other. A similar method was reported previously to track the relative concentrations of proteins in a binary adsorbed protein film [27]. From Tables 5.4 and 5.5, it can be seen that serine and tyrosine are more prevalent in F(ab') 2 , while lysine and phenylalanine are more prevalent in F c .…”

Section: Detection Of Igg Orientation On Different Substratesmentioning

confidence: 81%

Molecular Engineering of Surfaces for Sensing and Detection

Jiang¹

2005

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. MOLECULAR ENGINEERING OF SURFACES FOR SENSING AND DETECTION AUTHOR(S)Shaoyi Jiang FUNDING NUMBERSC -F30602-01-2-0542 PE -61101E PR -E117 TA -00 WU -71 PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)University of Washington Department of Chemical Engineering Seattle Washington 98195 PERFORMING ORGANIZATION REPORT NUMBERN/A SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES)Defense There are three challenges in the development of surfaces for sensing and detection -sensitivity (i.e., low detection limit), specificity (i.e., false positives and negatives), and robustness (simultaneous detection of multiple analytes). These three issues are addressed in this work with the main focuses on control of protein orientation and creation of protein arrays. The ability to control, probe, and predict protein orientation will facilitate the development of biosensors with high sensitivity and specificity. In this work, a charge-driven protein orientation principle was proposed. Molecular simulations were first performed to predict protein orientation on a surface under a wide range of conditions. Simulation results showed that there is indeed a distinct difference in protein orientation on different charged surfaces. Surface Plasmon Resonance (SPR) and Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) experiments were then performed to confirm simulation results. Protein arrays are an attractive platform for many applications in sensing and detection, yet due to challenges with fabrication, storage, and protein stability they have not realized their full potential. In this work, a novel single stranded DNA probe surface is introduced, which when used in conjunction with a simple DNA-antibody conjugate, produces a biosensor surface with superior sensitivity, protein resistance and chip stability.

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Characterization of adsorbed protein films by time of flight secondary ion mass spectrometry

Cited by 169 publications

References 21 publications

Fine airborne urban particles (PM_2.5) sequester lung surfactant and amino acids from human lung lavage

Fine airborne urban particles (PM_2.5) sequester lung surfactant and amino acids from human lung lavage

TOF-SIMS analysis of exhaled particles from patients with asthma and healthy controls

Molecular Engineering of Surfaces for Sensing and Detection

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