12 research outputs found

    Magnetic Immunoaffinity Enrichment for Selective Capture and MS/MS Analysis of Nā€‘Terminal-TMPP-Labeled Peptides

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    Proteogenomics is the alliance of proteomics and genomics with the aim of better annotating structural genes based on experimental, protein-based data items established by tandem mass spectrometry. While, on average, more than one-tenth of protein N-termini are incorrectly annotated, there is a crucial need for methodological approaches to systematically establish the translational starts of polypeptides, and their maturations, such as N-terminal methionine processing and peptide signal excision. Refinement of genome annotation through correction of wrongly annotation initiation start site and detection of unannotated genes can be achieved after enrichment and detection of protein N-termini by mass spectrometry. Here we describe a straightforward strategy to specifically label protein N-termini with a positively charged TMPP label to selectively capture these entities with in-houseā€“developed <i>anti</i>-TMPP antibodies coupled to magnetic beads and to analyze them by nanoLCā€“MS/MS. While most N-terminomics-oriented approaches are based on the depletion of internal peptides to retrieve N-terminal peptides, this enrichment approach is fast and the results are highly specific for improved, ionizable, TMPP-labeled peptides. The whole proteome of the model marine bacterium, <i>Roseobacter denitrificans</i>, was analyzed, leading to the identification of more than twice the number of N-terminal peptides compared with the nonenriched fraction. A total of 269 proteins were characterized in terms of their N-termini. In addition, three unannotated genes were identified based on multiple, redundant N-terminal peptides. Our strategy greatly simplifies the systematic and automatic proteogenomic annotation of genomes as well as degradomics-oriented approaches, focusing the mass spectrometric efforts on the most crucial enriched fractions

    Proteogenomic Biomarkers for Identification of <i>Francisella</i> Species and Subspecies by Matrix-Assisted Laser Desorption Ionization-Time-of-Flight Mass Spectrometry

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    <i>Francisella tularensis</i> is the causative agent of tularemia. Because some <i>Francisella</i> strains are very virulent, this species is considered by the Centers for Disease Control and Prevention to be a potential category A bioweapon. A mass spectrometry method to quickly and robustly distinguish between virulent and nonvirulent <i>Francisella</i> strains is desirable. A combination of shotgun proteomics and whole-cell matrix-assisted laser desorption ionization-time-of-flight (MALDI-TOF) mass spectrometry on the <i>Francisella tularensis</i> subsp. <i>holarctica</i> LVS defined three protein biomarkers that allow such discrimination: the histone-like protein HU form B, the 10 kDa chaperonin Cpn10, and the 50S ribosomal protein L24. We established that their combined detection by whole-cell MALDI-TOF spectrum could enable (i) the identification of <i>Francisella</i> species, and (ii) the prediction of their virulence level, i.e., gain of a taxonomical level with the identification of <i>Francisella tularensis</i> subspecies. The detection of these biomarkers by MALDI-TOF mass spectrometry is straightforward because of their abundance and the absence of other abundant protein species closely related in terms of <i>m</i>/<i>z</i>. The predicted molecular weights for the three biomarkers and their presence as intense peaks were confirmed with MALDI-TOF/MS spectra acquired on <i>Francisella philomiragia</i> ATCC 25015 and on <i>Francisella tularensis</i> subsp. <i>tularensis</i> CCUG 2112, the most virulent <i>Francisella</i> subspecies

    Pharmacological profile of Ļ-Da1a binding to various human AR subtypes expressed in eukaryotic cells.

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    <p>Binding inhibition curves for <sup>3</sup>H-prazosin (2 nM), <sup>3</sup>H-rauwolscine (2 nM) and <sup>3</sup>H-CGP-12177 (6 nM) on hĪ±<sub>1A</sub>- (1 Āµg, ā—‹), hĪ±<sub>1B</sub>- (3 Āµg, ā€¢), hĪ±<sub>1D</sub>- (29 Āµg, ā–”), hĪ±<sub>2A</sub>- (140 Āµg, ā—Š), hĪ±<sub>2B</sub>- (100 Āµg, Ī”), hĪ±<sub>2C</sub>- (3 Āµg, x), Ī²<sub>1</sub>- (3 Āµg,ā–¾) and Ī²<sub>2</sub>-AR (1.5 Āµg, ā–Ŗ) with recombinant Ļ-Da1a. nā€Š=ā€Š4.</p

    Influence of various ligands on <sup>3</sup>H-prazosin and <sup>125</sup>I-HEAT dissociation.

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    <p>Panel A: Dissociation of <sup>3</sup>H-prazosin (2 nM) binding to Ī±<sub>1A</sub>-AR (1 Āµg) in the presence of prazosin (10 ĀµM, black), prazosin plus Ļ-Da1a (2.5 ĀµM, blue), prazosin plus adrenaline (2 mM, red) and prazosin plus EPA (150 ĀµM, green). Panel B : dissociation of <sup>125</sup>I-HEAT (0.4 nM) binding to Ī±<sub>1A</sub>-AR (0.2 Āµg) in the presence of HEAT (5 ĀµM, black), HEAT plus Ļ-Da1a (2.5 ĀµM, blue), HEAT plus prazosin (10 ĀµM, red) and HEAT plus EPA (150 ĀµM, green). nā€Š=ā€Š2.</p

    Inhibition of the binding of a series of concentrations of <sup>3</sup>H-prazosin and <sup>125</sup>I-HEAT to Ī±<sub>1A</sub>-AR by Ļ-Da1a.

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    <p>Panel A <sup>3</sup>H-prazosin binding (from 0.2 to 16 nM) inhibited by Ļ-Da1a. Panel B <sup>125</sup>I-HEAT binding (from 0.1 to 1.25 nM) inhibited by Ļ-Da1a. Panel C and D: Fitting, by the Cheng and Prusoff equation IC<sub>50</sub>ā€Š=ā€ŠKi+Ki(L/Kd), of IC<sub>50</sub> values as a function of the radiotracer concentrations.</p

    Homology modelling of the Ļ-Da1a binding site in the Ī±<sub>1A</sub>-AR and the MT7 toxin.

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    <p>Views from the side of the TM bundle (Panel A), and from the top of the extracellular space (Panel B). F187<sup>5.41</sup>, F193<sup>5.47</sup>, F281<sup>6.44</sup>, M292<sup>6.55</sup>, F308<sup>7.35</sup> in green. D106<sup>3.32</sup> and the double S188<sup>5.42</sup>/S192<sup>5.46</sup> in orange. F86<sup>2.64</sup>, F288<sup>6.51</sup> and F312<sup>7.39</sup> in red. Panel C :3D structure of the three-finger fold MT7 toxin (2vlw) with the four conserved disulfide bridges in red.</p
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