Bibliographic record
Abstract
Objective To create a MIN6 cell line overexpressing murine Reg3α cDNA and to investigate its cell viability character under low glucose concentrations.Methods The full-length murine Reg3α cDNA was inserted into the plasmid pcDNA3.1(-).Then MIN6 cells were transfected with the Reg3α-pcDNA3.1 and pcDNA3.1 vector alone to establish Reg3α-overexpression and empty vector MIN6 cell line.Reg3α protein in the low glucose concentration cell medium was detected by Western blot.Cell viability was evaluated by an MTT reduction conversion assay.Results Three Reg3α-overexpression MIN6 cells were confirmed by real-time PCR and Western blot.Reg3α expression was barely detectable in the cells transfected with the empty vector alone.In contrast,the levels of Reg3α mRNA and protein in three pcDNA-Reg3α-transfected clones were increased by an average 10-and 6-fold,respectively.Western blot also revealed Reg3α protein release into the culture medium.In MTT cell proliferation assay,compared to vector-transfection alone,three clones of Reg3α-overexpression MIN6 cells exhibited 2-fold increases in cell number over 7 days when cultured in the presence of 10 mL/L fetal bovine serum and 5.5 mmol/L glucose.Conclusion The Reg3α-overexpression MIN6 cells have been established.Reg3α protein was detectable in culture medium,supporting an endocrine action,and Reg3α overexpression promoted islet cell growth.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".