Additional file 6 of EGCG inhibits the inflammation and senescence inducing properties of MDA-MB-231 triple-negative breast cancer (TNBC) cells-derived extracellular vesicles in human adipose-derived mesenchymal stem cells
Notice bibliographique
Résumé
Additional file 6: Figure S1. Quantification by flow cytometry of the EVs samples. EVs and EGCG-EVs were isolated, and 20 µL of the samples were stained with 100 nM MemGlow followed by flow cytometry analysis. A Gating strategy and definition of the unstained population. B Representative quantification of a batch of EVs (N170622). C Representative quantification of a batch of EGCG-EVs (NE170623). Highlighted in red are the P2-positive population with the number of vesicles counted in an acquisition volume of 30 µL. D Paired experimental means of each EVs batch's mean fluorescence intensity (MFI). E Paired experimental counting of the number of particles. Wilcoxon-matched pairs signed rank test was used to establish significant statistical differences. Figure S2. Comparing the fusion capacity of MemGlow-stained EVs. EVs and EGCG-EVs were isolated, labelled with 100 nM MemGlow, washed by ultracentrifugation (1 hour at 100,000g) and resuspended in basal media (BM). Next, hADMSC (10,000 cells/condition) were incubated in suspension with the vesicles at a ratio Cells:EVs of 1:1, for 1 hour at 37 °C and 5% CO2 atmosphere. Flow cytometry determination of the number of FL-1-positive cells. A Gating strategy used for samples incubated with BM as a negative control. B Representative plotting of the MemGlow-488-positive cells resulting from the co-incubation with EVs or EGCG-EVs. C Representative plots of the mean of fluorescence intensity (MFI) of the hADMSC incubated with BM (black line), EVs (aqua-coloured line) or with EGCG-EVs (dark blue line). Figure S3. Evaluating the effect of EGCG over the mitoTracker dye. MDA-MB-231 cells were seeded in a 6-well plate, incubated with mitoTracker Deep Red (MT), resuspended in negative media (NM), and added at a final concentration of 200 nM. After washing, the cells were kept for 24 hours in negative media (NM) or NM+EGCG at 10 or 30 µM, respectively. Then, cells were analyzed by flow cytometry. A A representative dot plot of unstained cells (negative control, MT-), cells stained with MT and maintained in NM (positive control, MT+), cells stained and incubated with 10 µM (MT+ EGCG-10) or with 30 µM (MT+ EGCG-30). B Bar graph of the mean of the fluorescence intensity (MFI) of the positive population (n=2). Figure S4. Mitochondria components present within MDA-MB-231-derived EVs can be transferred into hADMSC. MDA-MB-231 cells were seeded in 175 cm flasks, incubated with mitoTracker Deep Red (MTR), resuspended in negative media (NM), and added at a final concentration of 200 nM. After washing, the cells were kept for 24 h in negative media (NM). EVs were isolated as described in the Methods section and protected from light. hADMSC were then seeded ontop of tissue culture glass slides (polystyrene 4 cambers, REF 354114, Falcon, NY) coated with Poly-lysine. 200 μl of MTR+EVs were then resuspended in NM, incubated for 4 hours. Cells were then labelled with 100 nM MemGlow, incubated for 20 minutes at RT and in the dark, fixed in 1% paraformaldehyde sol at 2%. Dapi was added to stain the nucleus and pictures taken using a fluorescence microscope. Red staining is representative of mitochondrial material delivered within hADMSC (stained in green). Animated 3D GIF files of these respective fields are also provided as Supplemental material (Additional file 2_Field_1; Additional file 3_Field_2; Additional file 4_Field_3).
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 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 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 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,895 | 0,172 |
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 ».