Characterization of HTATIP2 and its role during hair follicle cycles in Angora rabbit
Bibliographic record
Abstract
Hair follicle (HF) growth and cycling is a complex biological process that occurs in most mammals. As HF growth and cycling directly impacts rabbit wool yield, it is important to better understand the potential regulation pattern of HF development. Our previous study demonstrated that HTATIP2 may participate in regulating rabbit HF cycles, but the molecular mechanism of HTATIP2 remained unclear. In this study, the coding sequence of the HTATIP2 gene in Angora rabbit was cloned. The length of the coding region sequence was 840 bp, which could code 279 amino acids, and exhibited high homology in different mammals. Bioinformatics analyses indicated that the HTATIP2 protein is stable, hydrophilic, located around the cytoplasm, and has a putative signal peptide. Moreover, we verified that HTATIP2 is highly expressed during catagen and telogen of the HF cycle. The overexpression vector was constructed and siRNAs were designed. Overexpression and knockdown of HTATIP2 appeared to regulate JAK-STAT pathway genes, such as BCL2, CCND1, c-Myc, and STAT2. It is therefore likely that HTATIP2 promotes cell apoptosis and inhibits cell proliferation. Our results indicate that HTATIP2 is highly expressed during catagen and telogen and may play an important role in JAK-STAT signaling. This study provides a theoretical foundation for investigating HTATIP2 in biological processes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".