Additional file 2 of Detoxified synthetic bacterial membrane vesicles as a vaccine platform against bacteria and SARS-CoV-2
Notice bibliographique
Résumé
Additional file 1: figure S1: Schematic overview of OMV and SyBV isolation from cultured bacteria. Figure S2. Characterization of RNA isolated from OMV and SyBV. Representative electropherograms of RNA molecules isolated from SyBV in comparison to those from OMV. The filled triangle indicates internal marker. Figure S3. Quantification of DNA isolated from OMV and SyBV (n = 3 independent samples). Data are presented as the mean ± s.e.m. ns, not significant by unpaired two-tailed Student’s t-test. Figure S4. Comparison of protein composition between P. aeruginosa OMV and SyBV. (a) Principle component analysis of OMV and SyBV proteome. Two biological replicates per sample and three technical replicates for each biological replicate. (b) Partial view of heatmap of the hierarchical clustering based on the relative proteins abundance of OMV and SyBV proteome. Color code shows the normalized median abundance of proteins belonging to the category (red, most abundant; blue, least abundant). Figure S5. SyBV can be efficiently taken up by macrophages comparable to OMV. DiO-labelled vesicles (1 × 109) were incubated with MH-S cells for 6 h. And, the uptake of SyBV by cells was compared with OMV by flow cytometry, and the results are shown as the percentage of DiO-positive cells (n = 3). Data are presented as the mean ± SEM. ***P < 0.001; ns, not significant, by one-way ANOVA with Tukey’s post test. Figure S6. Measurement of body temperature during immunization with P. aeruginosa OMV or SyBV. The temperature of mice was investigated at 24 h after each immunization (n = 5). Data are presented as mean ± s.e.m. ns, not significant; by one-way ANOVA with Tukey’s post test versus the sham group. Figure S7. Differential cell count and chemokine level in BAL fluid of mice immunized with P. aeruginosa OMV or SyBV. (a) The effect of OMV and SyBV on the numbers of BAL cells (macrophage, neutrophil and lymphocyte) was investigated at 48 h after the last challenge (n = 5). (b) The level of neutrophil-chemoattractant chemokine (KC) in BAL fluid was evaluated at 48 h after the last challenge (n = 5). Data are presented as mean ± s.e.m. ***P < 0.001; ns, not significant; by two-way ANOVA with Tukey’s post test versus the sham group. Figure S8. The level of P. aeruginosa-specific CD4+ T-cell-derived IL-4 after CD4+ T-cells were isolated from immunized spleens (three independent samples). All data are presented as the mean ± s.e.m. ns, not significant by two-way ANOVA with Tukey’s post-test versus the sham group. Figure S9. Survival curve of mice immunized with heat-inactivated SyBV from E. coli. The result was monitored for 5 days after intraperitoneal challenge with lethal dose of E. coli (n = 10). For survival curve, log-rank (Mantel-Cox) test was used to compare with sham group (*P < 0.05). Figure S10. Quantification of germinal center B cells. Graph shows cell counts per germinal center cross-section in the mice spleens immunized with P. aeruginosa or E. coli SyBV. Data are presented as mean ± s.e.m. ***P < 0.001 by one-way ANOVA with Tukey’s post test. Figure S11. The level of S1-specific CD4+ T-cell-derived IL-4 after CD4+ T-cells were isolated from immunized spleens (three independent samples). All data are presented as the mean ± s.e.m. ns, not significant by two-way ANOVA with Tukey’s post-test versus the sham group. Figure S12. Western blot analysis of IPTG-induced OMVS1 and SyBVS1 with anti-His Tag antibody. The filled triangle indicates the Lpp-OmpA-S1 complex. Table S1. Immunogenic outer membrane protein markers expressed in SyBV in comparison to OMV.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,876 | 0,182 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».