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Enregistrement W2096889754 · doi:10.1093/jac/dkh318

Identification of Pseudomonas aeruginosa FtsZ peptide inhibitors as a tool for development of novel antimicrobials

2004· letter· en· W2096889754 sur OpenAlexafffund
Catherine Paradis‐Bleau

Notice bibliographique

RevueJournal of Antimicrobial Chemotherapy · 2004
Typeletter
Langueen
DomaineEnvironmental Science
ThématiqueBacteriophages and microbial interactions
Établissements canadiensUniversité Laval
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésPseudomonas aeruginosaAntimicrobialMicrobiologyFtsZIdentification (biology)PeptideAntibacterial agentChemistryBiologyAntibioticsBacterial proteinBacteriaBiochemistry

Résumé

récupéré en direct d'OpenAlex

Sir, The alarming increase and spread of antibiotic resistance among bacterial pathogens is one of the most serious public health problems of the last decade.1 This critical situation necessitates the design of novel classes of antibacterial agents having new mechanisms of action against novel targets. We selected the essential and highly conserved FtsZ protein from the cell division machinery of Pseudomonas aeruginosa as the most attractive target. FtsZ is at the top of hierarchic recruitment in the divisosome, its polymerization into the Z-ring coupled with GTPase activity and interactions with FtsA allow the physical separation of daughter cells.2 To identify specific inhibitors, we used the phage-display technique for the selection of short peptide ligands having high binding affinities to FtsZ among a large pool of random peptide permutations.3 The P. aeruginosa FtsZ and FtsA proteins fused with a His-tag at their C terminus were expressed in Escherichia coli under the control of the T7 promoter and purified to homogeneity on an affinity nickel column (Novagen) and by the renaturation of purified inclusion bodies for FtsA (Protein Refolding Kit, Novagen, Madison, USA). N-terminal sequencing confirmed the identity of both proteins. The GTPase activity of FtsZ and the ATPase activity of FtsA were measured using a thin layer chromatography (TLC) assay with 32P-labelled nucleotides (Perkin-Elmer) as substrates. A UV cross-link specific nucleotide binding assay confirmed that FtsZ binds preferentially GTP and that FtsA binds preferentially ATP. Purified FtsZ was used to screen for GTPase peptide inhibitors by phage-display using the PH.D.-12 and PH.D.-C-7-C phage libraries (New England Biolabs) containing ∼2.7 × 109 12-mer and ∼3.7 × 109 C-7-C-mer random peptide sequences, respectively. The specificity of the three rounds of biopanning was raised by increasing the stringency of the washes and by decreasing the time of contact between the phage encoding peptide fusions and FtsZ. Phages encoding peptides having specific affinity with FtsZ were eluted by non-specific disruption using glycine and by competitive elutions using nucleotide substrate GTP, non-hydrolysable substrate analogue 5′-guanylylimidodiphosphate and FtsA. This unique biopanning identified two C-7-C mers and one 12-mer consensus peptide sequences against FtsZ, reported here as FtsZp1 (CSYEKRPMC), FtsZp2 (CLTKSYTSC) and FtsZp3 (GAVTYSRISGQY). These three peptides were synthesized and their inhibitory capacities of the GTPase activity of FtsZ were evaluated by calculating the percentage of residual enzyme activity. Various concentrations of peptide buffered solutions were pre-incubated with 12 μM of FtsZ in reaction buffer (50 mM Bis-Tris propane pH 7.4, 10 mM MgCl2) for 20 min at room temperature. [32P]GTP was added and mixtures were immediately incubated for 1 h at 37°C. The enzyme reaction was visualized using 2 μL of each reaction sample separated by TLC along with positive (FtsZ alone) and negative (without FtsZ) controls. The percentage of hydrolysis of radioactive substrate was measured by autoradiography. The values of 50% inhibitory concentration (IC50s) for peptides were obtained by plotting the percentage of residual enzymic activity as a function of increasing peptide concentrations (Figure 1). When compared to BSA protein in a competitive assay and to random peptides, the three consensus peptides were able to specifically inhibit the FtsZ GTPase activity. The C-7-C-mers FtsZp1 and FtsZp2 gave an IC50 of 0.45 mM and 1.2 mM whereas the 12-mer gave an IC50 of 5 mM (Figure 1). The three-dimensional crystal structure of FtsZ showed a compact and globular protein.4 We hypothesized that the C-7-C-mer peptides would have more affinity for FtsZ than the 12-mers. The reducing agent dithiothreitol (DTT) had no effect on the inhibitory capacity of the 12-mer peptide FtsZp3. In contrast, DTT reduced significantly the inhibitory potential of the two C-7-C peptides. These results indicated that the disulphide bond formed by the two cysteines of the C-7-C peptides and the subsequent loop conformation were important for their inhibitory potential. Cell division proteins have rarely been used as target proteins and the sole small molecule viriditoxin that inhibits FtsZ was discovered during the course of this work.5 This study allowed the identification of three peptides inhibiting the GTPase activity of the essential cell division protein FtsZ. In perspective, it will be useful to determine their inhibitory constant (Ki) values and to analyse their inhibitory capacities on other GTPases so as to define their specificity. In order to obtain promising lead compounds, inhibitory peptides will undergo chemical modifications and their sequences will constitute the core for the synthesis of libraries of peptidomimetic molecules.6 IC50 determinations for the phage-display-derived peptide inhibitors of FtsZ GTPase. The residual enzymic activity was measured as a function of the concentration of the C-7-C peptides (a) FtsZp1, (b) FtsZp2 and (c) the 12-mer FtsZp3. The peptide sequences are given in the text. We thank Le Service de séquence de peptides de l'Est du Québec and Le Service d'analyse et de synthèse d'acides nucléiques de l'Université Laval. This work was funded by The Canadian Bacterial Diseases Network via the Canadian Centers of Excellence and a FCAR infrastructure team grant to R. C. Levesque and a CRSNG studentship to C. Paradis-Bleau.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,014
Tête enseignante GPT0,261
Écart entre enseignants0,247 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations24
Publié2004
Routes d'admission2
Résumé présentnon

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