Additional file 5 of MicroRNA-210 regulates the metabolic and inflammatory status of primary human astrocytes
Bibliographic record
Abstract
Additional file 5: Figure S4. Astrocytic Metabolism and MCT4 Protein Expression is unchanged after 24- and 48-h 210M transfection, respectively. (A) Oxygen Consumption Rate (OCR) was measured in primary human astrocytes 24-h after transfection of 210S or 210M. n = 4 with 10 technical replicates for OCR experiments. (B) Extracellular Acidification Rate (ECAR) was measured in primary human astrocytes 24-h after transfection of 210S or 210M. n = 4 with 20 technical replicates for ECAR experiments. (C) Protein expression of MCT4 and Beta Tubulin (Beta-Tub) were measured by western blot in six separate human samples. Data is graphed as the fold change of MCT4 expression normalized to Beta-Tubulin expression and relative to the expression of 210S. For (C), each dot represents a separate human sample. (D) RT-qPCR assessment of LDHA in 210M-transfected cells relative to 210S-transfected cells 48 h after transfection. Mean ± SEM of 6 donors. Two-way ANOVA with Sidak’s correction was performed for Seahorse experiments, whereas t-test was used for MCT4 and LDHA expression. *p < 0.05.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.866 | 0.179 |
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".