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
Bibliographic record
Abstract
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).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.895 | 0.172 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".