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Published by the International Journal of Mass Spectrometry Native liquid extraction surface analysis (LESA) mass spectrometry enables the direct sampling of protein complexes from a solid surface. We have previously demonstrated native LESA mass spectrometry of holomyoglobin (17 kDa) from glass slides and tetrameric haemoglobin (64 kDa) from dried blood spots and thin tissue sections. Here, we further explore the capabilities of this emerging technique by investigating a range of proteins which exist in various oligomeric states in vivo. Victor A.Mikhailov, Rian L.Griffiths, Helen J.Cooper, Liquid Extraction Surface Analysis for Native Mass Spectrometry: Protein Complexes and Ligand Binding, International Journal of Mass Spectrometry http://dx.doi.org/10.1016/j.ijms.2016.09.011. Liquid Extraction Surface Analysis Mass Spectrometry (LESA-MS) has been utilized for determination of small molecules, lipids and proteins from a variety of surfaces such as tissue sections, plant material, medical devices, TLC plates or DBS cards. It allows direct surface analysis without sample preparation from spot sizes of 1 mm diameter by aspiration of extraction solvent into a pipette tip, formation of a liquid junction at the intended target location and extraction of the analytes of interest. In the final step, analytes are ionized by static nano electrospray and detected in the mass spectrometer.
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Published by the Royal Society of Chemistry Liquid Extraction Surface Analysis (LESA) is a new, high throughput tool for ambient mass spectrometry. A solvent droplet is deposited from a pipette tip onto a surface and maintains contact with both the surface and the pipette tip for a few seconds before being re-aspirated. The technique is particularly suited to the analysis of trace materials on surfaces due to its high sensitivity and low volume of sample removal. In this work, we assess the suitability of LESA for obtaining detailed chemical profiles of fingerprints, oral fluid and urine, which may be used in future for rapid medical diagnostics or metabolomics studies. We further show how LESA can be used to detect illicit drugs and their metabolites in urine, oral fluid and fingerprints. This makes LESA a potentially useful tool in the growing field of fingerprint chemical analysis, which is relevant not only to forensics but also to medical diagnostics. Finally, we show how LESA can be used to detect the explosive material RDX in contaminated artificial fingermarks.
Published by the National Center for Biotechnology Information MYC-mediated pathogenesis in lung cancer continues to attract interest for new therapeutic strategies. In this study, we describe a transgenic mouse model of KRAS-driven lung adenocarcinoma that affords reversible activation of MYC, used here as a tool for lipidomic profiling of MYC-dependent lung tumors formed in this model.
Advanced mass spectrometric imaging and surface analysis techniques were used to characterize the spatial and temporal changes in lipid composition in lung tissue. We found that normal lung tissue was characterized predominantly by saturated phosphatidylcholines and phosphatidylglycerols, which are major lipid components of pulmonary surfactant. In contrast, tumor tissues displayed an increase in phosphatidylinositols and arachidonate-containing phospholipids that can serve as signaling precursors. Residues and contaminants in the food chain are an increasing problem due to high production volumes, large area distribution and import/export of food items across the world.
The novel LESA PLUS surface analysis approach combines the standard liquid extraction surface analysis with an additional step of a nano liquid chromatography separation. This combination is ideally suited to investigate residues and contaminants on surfaces of interest and allows both rapid and direct screening as well as in depth analysis of suspect food samples. Montowska, M.R. Alexander, G.A.
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Barrett 2014 Oct 21;86(20):10257-65. Fifty shades of grey hd online. Doi: 10.1021/ac502449w In this Article, our previously developed ambient LESA-MS methodology is implemented to analyze five types of thermally treated meat species, namely, beef, pork, horse, chicken, and turkey meat, to select and identify heat-stable and species-specific peptide markers.
In-solution tryptic digests of cooked meats were deposited onto a polymer surface, followed by LESA-MS analysis and evaluation using multivariate data analysis and tandem electrospray MS. The five types of cooked meat were clearly discriminated using principal component analysis and orthogonal partial least-squares discriminant analysis.
23 heat stable peptide markers unique to species and muscle protein were identified following data-dependent tandem LESA-MS analysis. Surface extraction and direct ambient MS analysis of mixtures of cooked meat species was performed for the first time and enabled detection of 10% (w/w) of pork, horse, and turkey meat and 5% (w/w) of chicken meat in beef, using the developed LESA-MS/MS analysis.
The study shows, for the first time, that ambient LESA-MS methodology displays specificity sufficient to be implemented effectively for the analysis of processed and complex peptide digests. The proposed approach is much faster and simpler than other measurement tools for meat speciation; it has potential for application in other areas of meat science or food production. Native mass spectrometry seeks to probe noncovalent protein interactions in terms of protein quaternary structure, protein–protein and protein–ligand complexes. The ultimate goal is to link the understanding of protein interactions to the protein environment by visualizing the spatial distribution of noncovalent protein interactions within tissue. Previously, we have shown that noncovalently bound protein complexes can be directly probed via liquid extraction surface analysis from dried blood spot samples, where hemoglobin is highly abundant. Here, we show that the intact hemoglobin complex can be sampled directly from thin tissue sections of mouse liver and correlated to a visible vascular feature, paving the way for native mass spectrometry imaging. Griffiths and H.J.
Chem., 2016, 88 (1), pp 606–609 Posts navigation.