QUANTITATIVE ANALYSIS OF INTACT PROTEINS AND RNAS CARRIED BY IMMUNOSUPPRESSIVE EXOSOMES

Myeloid-derived suppressor cells (MDSC) are immature myeloid cells that accumulate in the tumor microenvironment of most cancer patients. They are a major obstacle to immunotherapy because they suppress both adaptive and innate immune responses. MDSCs collected from tumor-bearing mice release nano-sized vesicles, called exosomes, which carry biologically active molecules and participate in intercellular communication. Exosomes released by MDSC stimulate migration of other MDSC towards the tumor microenvironment and convert macrophages to a tumor-promoting phenotype. Among the proteins identified in MDSC-released exosomes, S100A8 and S100A9 are low-mass, highly abundant, pro-inflammatory mediators already known to contribute directly to the immune suppressive functions of MDSC. The aim of this work was to successfully interrogate the exosomal intact protein cargo using top-down proteomics, a strategy for protein analysis that has not previously been applied to exosomes of any kind. Several protein forms (proteoforms) were fully characterized, which is critical as post-translational modifications regulate protein functions, cellular location and protein interactions. Additionally, since the tumor promoting activity of MDSC is enhanced by inflammation, we focused on evaluating the effect of increased inflammation on the proteoforms relative abundance using current top-down label-free quantitation techniques (peak intensities and peak areas), and comparing them to our recently validated spectral counting approach. Using spectral counting we were able to estimate differences in abundances of both S100A8 and S100A9 proteoforms. Furthermore, it has been previously reported that exosomes can carry micro RNAs and messenger RNAs. In order to investigate if MDSC-derived exosomes also contain RNAs, a collaborative study was carried out entailing the qualitative and quantitative analysis of miRNAs, mRNA and proteins present in MDSC and their exosomes, and evaluate their changes due to heightened inflammation. The MDSC and exosome protein cargo was analysed by bottom-up proteomics in this case, and the RNA cargo by next generation sequencing. A large number of mRNA and miRNA species were found to be carried by MDSC-derived exosomes and, strikingly, their putative functions were associated to MDSC expansion and suppressive function, and cancer development

Utilizing herbicide degradation products and artificial sweeteners as stable tracers to examine agricultural and urban nutrient sources within two tributaries of the Chesapeake Bay

Eutrophication of the Chesapeake Bay has contributed to a decline in ecosystem health within the watershed. In this study, MESA (a metabolite of metolachlor) and sucralose were proposed as stable tracers that could be used to discriminate nutrient contributions from agricultural versus urban sources. Two estuaries of the Chesapeake Bay were chosen as model systems: the Choptank River (agricultural) and the Anacostia River (urban). Surface water samples were collected and analyzed for herbicides, metabolites, artificial sweeteners and nutrients. Results supported the hypothesis that sucralose is present in waterways influenced by wastewater plants, and MESA was correlated with changes in nitrate concentration in the Choptank indicating agricultural sources. This work provides proof of concept that tracers can be used in the Chesapeake Bay region to distinguish the influence of urban and agricultural nutrient loads and provides a path to better assess restoration efforts and improved allocation of total maximum daily loads

Analysis of pesticide residues in strawberries and soils by GC-MS/MS, LC-MS/MS and two-dimensional GC-timeof- flight MS comparing organic and integrated pest management farming

This study analysed 22 strawberry and soil samples after their collection over the course of 2 years to compare the residue profiles from organic farming with integrated pest management practices in Portugal. For sample preparation, we used the citrate-buffered version of the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method. We applied three different methods for analysis: (1) 27 pesticides were targeted using LC-MS/MS; (2) 143 were targeted using low pressure GC-tandem mass spectrometry (LP-GC-MS/MS); and (3) more than 600 pesticides were screened in a targeted and untargeted approach using comprehensive, two-dimensional gas chromatography time-of-flight mass spectrometry (GC × GC-TOF-MS). Comparison was made of the analyses using the different methods for the shared samples. The results were similar, thereby providing satisfactory confirmation of both similarly positive and negative findings. No pesticides were found in the organic-farmed samples. In samples from integrated pest management practices, nine pesticides were determined and confirmed to be present, ranging from 2 μg kg−1 for fluazifop-pbutyl to 50 μg kg−1 for fenpropathrin. Concentrations of residues in strawberries were less than European maximum residue limits

Evaluation of Spectral Counting for Relative Quantitation of Proteoforms in Top-Down Proteomics

Spectral counting is a straightforward label-free quantitation strategy used in bottom-up proteomics workflows. The application of spectral counting in label-free top-down proteomics workflows can be similarly straightforward but has not been applied as widely as quantitation by chromatographic peak areas or peak intensities. In this study, we evaluate spectral counting for quantitative comparisons in label-free top-down proteomics workflows by comparison with chromatographic peak areas and intensities. We tested these quantitation approaches by spiking standard proteins into a complex protein background and comparing relative quantitation by spectral counts with normalized chromatographic peak areas and peak intensities from deconvoluted extracted ion chromatograms of the spiked proteins. Ratio estimates and statistical significance of differential abundance from each quantitation technique are evaluated against the expected ratios and each other. In this experiment, spectral counting was able to detect differential abundance of spiked proteins for expected ratios ≥2, with comparable or higher sensitivity than normalized areas and intensities. We also found that while ratio estimates using peak areas and intensities are usually more accurate, the spectral-counting-based estimates are not substantially worse. Following the evaluation and comparison of these label-free top-down quantitation strategies using spiked proteins, spectral counting, along with normalized chromatographic peak areas and intensities, were used to analyze the complex protein cargo of exosomes shed by myeloid-derived suppressor cells collected under high and low conditions of inflammation, revealing statistically significant differences in abundance for several proteoforms, including the active pro-inflammatory proteins S100A8 and S100A9

The N-terminal domain of a tick evasin is critical for chemokine binding and neutralization and confers specific binding activity to other evasins

Tick chemokine-binding proteins (evasins) are an emerging class of biologicals that target multiple chemokines and show anti-inflammatory activities in preclinical disease models. Using yeast surface display, we identified a CCL8-binding evasin, P672, from the tick Rhipicephalus pulchellus. We found that P672 binds CCL8 and eight other CC-class chemokines with a Kd < 10 nM and four other CC chemokines with a Kd between 10 and 100 nM and neutralizes CCL3, CCL3L1, and CCL8 with an IC50 < 10 nM. The CC chemokine–binding profile was distinct from that of evasin 1 (EVA1), which does not bind CCL8. We also show that P672's binding activity can be markedly modulated by the location of a StrepII-His purification tag. Combining native MS and bottom-up proteomics, we further demonstrated that P672 is glycosylated and forms a 1:1 complex with CCL8, disrupting CCL8 homodimerization. Homology modeling of P672 using the crystal structure of the EVA1 and CCL3 complex as template suggested that 44 N-terminal residues of P672 form most of the contacts with CCL8. Replacing the 29 N-terminal residues of EVA1 with the 44 N-terminal residues of P672 enabled this hybrid evasin to bind and neutralize CCL8, indicating that the CCL8-binding properties of P672 reside, in part, in its N-terminal residues. This study shows that the function of certain tick evasins can be manipulated simply by adding a tag. We conclude that homology modeling helps identify regions with transportable chemokine-binding functions within evasins, which can be used to construct hybrid evasins with altered properties