Dataset Information

Experimental strategies to improve drug-target identification in mass spectrometry-based thermal stability assays

ABSTRACT: In this study, we developed a model system for the assessment of small molecule-protein interactions using intact cells treated with a commercially available highly specific mitogen-activated protein kinase (MEK) 1/2 inhibitor to prepare a set of unfractionated test samples labeled with tandem mass tags. Our objective was to improve qualitative and quantitative aspects of MS-TSA as well as its efficiency and accuracy. We evaluated individually and for the first time in combination ΦSDM, FAIMS, and SIILCC as an improved MS-based acquisition approach for thermal stability assays (iMAATSA). PSM-level filtering was preliminarily investigated as an approach to reduce melting curve variation and improve the accuracy of Tm measurements.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): T Cell, Cell Culture

SUBMITTER: Clifford Phaneuf

LAB HEAD: Prof. Alexander Ivanov

PROVIDER: PXD034087 | Pride | 2023-05-10

REPOSITORIES: Pride

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Publications

Experimental strategies to improve drug-target identification in mass spectrometry-based thermal stability assays.

Phaneuf Clifford G CG Aizikov Konstantin K Grinfeld Dmitry D Kreutzmann Arne A Mourad Daniel D Lange Oliver O Dai Daniel D Zhang Bailin B Belenky Alexei A Makarov Alexander A AA Ivanov Alexander R AR

Communications chemistry 20230406 1

Mass spectrometry (MS)-based thermal stability assays have recently emerged as one of the most promising solutions for the identification of protein-ligand interactions. Here, we have investigated eight combinations of several recently introduced MS-based advancements, including the Phase-Constrained Spectral Deconvolution Method, Field Asymmetric Ion Mobility Spectrometry, and the implementation of a carrier sample as improved MS-based acquisition approaches for thermal stability assays (iMAATS ...[more]

PMID: 37024568

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Project description:Analysis of gingival crevicular fluid (GCF) samples may give information of the identity of unattached (planktonic) subgingival bacteria, the 35 forefront candidates for systemic dispersal via ulcerated periodontal pocket epithelium. Our study represents the first one targeting the identity of bacteria in gingival crevicular fluid. Methodology/Principal findings: We determined bacterial species diversity in GCF samples of a group of periodontitis patients and delineated contributing bacterial and host-associated factors. Subgingival paper point (PP) samples from the same sites were taken for comparison. After DNA extraction, 16S rRNA genes were PCR amplified and DNA-DNA hybridization was performed using a microarray for over 300 bacterial species or groups. Altogether 133 species from 41 genera and 8 phyla 45 were detected with 9 to 62 and 18 to 64 species in GCF and PP samples, respectively, 46 per patient. Projection to latent structures by means of partial least squares (PLS) was applied to the multivariate data analysis. PLS regression analysis showed that species of genera including Campylobacter, Selenomonas, Porphyromonas, Catonella, Tannerella, Dialister, Peptostreptococcus, Streptococcus and Eubacterium had significant positive correlations and the number of teeth with low-grade attachment loss a significant negative correlation to species diversity in GCF samples. OPLS/O2PLS discriminant analysis revealed significant positive correlations to GCF sample group membership for species of genera Campylobacter, Leptotrichia, Prevotella, Dialister, Tannerella, Haemophilus, Fusobacterium, Eubacterium, and Actinomyces. Conclusions/Significance: Among a variety of detected species those traditionally classified as Gram-negative anaerobes growing in mature subgingival biofilms were the main predictors for species diversity in GCF samples as well as responsible for distinguishing GCF samples from PP samples. GCF bacteria may provide new prospects for studying dynamic properties of subgingival biofilms. The microbial profiles of GCF and subgingival plaque were analyzed from 17 subjects with periodontal disease.

Dataset Information

Experimental strategies to improve drug-target identification in mass spectrometry-based thermal stability assays

Publications

Experimental strategies to improve drug-target identification in mass spectrometry-based thermal stability assays.

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