Salat-Canela et al. Internal translation of the Connexin 43 transcript Supplementary Methods
Bibliographic record
Abstract
Primary human keratinocytes and fibroblasts were obtained and cultured as previously described [1]. Wild-type and Mnk1/2 knockout mouse embryonic fibroblasts (MEFs) [2] were a gift from the Nahum Sonenberg laboratory (McGill University, Canada), and were cultured in DMEM with 10 % FBS and 1 % penicillin/streptomycin. All other cell lines were obtained from ATCC and cultured as recommended in DMEM with 10 % FBS and 1 % penicillin/streptomycin. Cells were treated overnight (unless indicated otherwise in the manuscript) with 40 µM CGP 57380 (Tocris Bioscience) or 100 nM Rapamycin (Tocris Bioscience). RNA interference and microRNA studies. Mission endoribonuclease-prepared siRNA (esiRNA) control and esiRNA targeting the entire GJA1 coding region (obtained from Sigma) were transfected with RNAiMax according to the recommended protocol (Life Technologies) using 1000ng esiRNA per well in 6-well plates. Targeting eIF4E was performed with a proven standard Flexitube siRNA from Qiagen (#SI00300125). Hsa-miR-1, has-miR-206 and –ve control miR-mimick were obtained from Ambion (#4464066, Life Technologies) and transfected with RNAiMax to a final concentration of 25 nM. Cells were harvested 48 hours post-transfection. Western blotting and antibodies Cells were lysed in RIPA buffer (Santa Cruz) and western blotting was performed as previously described [3]. The antibodies used were rabbit polyclonal anti-Cx43 directed against the C-terminal (abcam #ab11-370, 1:10000, or Sigma Aldrich 1 Salat-Canela et al. Internal translation of the Connexin 43 transcript #C6219, 1:10000), mouse monoclonal anti–a-tubulin (abcam #ab7291, 1:10000), anti-
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.119 | 0.058 |
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".