Additional file 4 of MicroRNA-210 regulates the metabolic and inflammatory status of primary human astrocytes
Bibliographic record
Abstract
Additional file 4: Figure S3. microRNAs are differentially expressed in primary human astrocytes undergoing different stresses. (A) Primary human astrocytes, oligodendrocytes, and microglia were separately cultured and analyzed for expression of canonically expressed genes of glial fibrillary acidic protein (GFAP), myelin basic protein (MBP) and ionized calcium binding adaptor molecule 1 (IBA1) by RT-qPCR. n = 3–4. (B) Primary human fetal astrocytes were immunostained with anti-GFAP, anti-O4, and anti-PU.1 antibodies. A CX7 automated microscope was used to quantify the percent positive astrocytes for each marker, n = 4. (C) Primary human astrocytes were treated in inflammatory (“I”) metabolic (“M”) or hypoxic (“H”) stress conditions induced by IL1b, glucose-free media, or a 1% oxygen chamber for 24 h compared to untreated control. RT-qPCR assessment of CXCL10, HMOX1, and MCT4 expression was measured to confirm the astrocytic response to inflammatory, metabolic, and hypoxic stress conditions, respectively, n = 4–6. (D) HeLa cells were left in normoxic (“N”) conditions for 48 h or were treated in 1% O2 (hypoxia, H) for the noted time period. After 2–48 h, the cells were removed and were immediately lysed with RIPA buffer for subsequent Western blot. n = 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 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 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) | 0.870 | 0.166 |
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".