Author Correction: Metformin-induced ablation of microRNA 21-5p releases Sestrin-1 and CAB39L antitumoral activities
Bibliographic record
Abstract
Relative to chapter: Modulation of CAB39L and SESN1 impinged on clonogenicity and invasiveness of breast cancer cells. We have evaluated the consequences of metformin-miR-21-5p modulation of CAB39L and SESN1 on the clonogenic activity of SUM159PT triple-negative breast cancer cell line (Fig. 4g and Supplementary Fig. S4e). During the generation of the representative images in Fig. 4g (and therefore Supplementary Fig. S4e which is the same experiment), the cell colony staining images from Fig. 2h, 0.5 and 1 nM miR-21-5p inhibitor treatments were inadvertently copied and pasted to represent the metformin + shCAB39L(A) and metformin + siSESN1 treatment conditions of Fig. 4g, respectively. The incorrect images in Fig. 4g and Supplementary Fig. S4e have been replaced by the images from the correct treatment groups. This change does not impact the results because the data with their statistical significance described in the manuscript are based on the correct colony staining images for the assigned treatments. Figure 4 g Histograms showing average colony counts (radius 14 < x < 40 μm) of SUM159PT cells transfected either with a control vector or CAB39L- or SESN1-targeting shRNAs and treated with vehicle or metformin (0.5 mM). Histograms indicating the average ± s.e. of triplicate experiments. Statistics ( t -test): 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 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.074 | 0.033 |
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".