Regulatory role of <i>LEF-1</i> in the proliferation of Arbas White Cashmere goat dermal papilla cells
Bibliographic record
Abstract
Cashmere, which has high economic value, is made from the secondary hair follicles of cashmere goat skin. Dermal papilla cells (DPCs) are considered the center for regulation of hair growth, which is closely related to hair follicle growth. We constructed LEF-1 overexpression and interference experimental groups of goat DPCs to investigate LEF-1 regulation of DPCs proliferation by Wnt signaling, and provide a theoretical basis for improving cashmere yield. In primary DPCs, LEF-1, β-catenin, C-myc, and cyclin D1 expression in the LEF-1 overexpression group was 9.25-, 1.27-, 1.74-, and 1.63-fold, respectively, that of the control. LEF-1, β-catenin, C-myc, and cyclin D1 expression in the LEF-1 interference group was 0.20-, 0.75-, 0.38-, and 0.39-fold, respectively, that of the control. In secondary DPCs, LEF-1, β-catenin, C-myc, and cyclin D1 expression in the LEF-1 overexpression group was 10.53-, 1.48-, 1.64-, and 1.39-fold, respectively, that of the control. LEF-1, β-catenin, C-myc, and cyclin D1 expression in the LEF-1 interference group was 0.21-, 0.71-, 0.40-, and 0.36-fold, respectively, that of the control. Primary and secondary DPCs proliferation rates changed with LEF-1 expression. Therefore, the LEF-1 regulation pattern of cell proliferation through Wnt signaling is similar in both DPCs.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".