A Comprehensive Study of Polymorphic Sites along the HLA-G Gene: Implication for Gene Regulation and Evolution
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Bibliographic record
Abstract
HLA-G molecule plays an important role on immune response regulation and has been implicated on the inhibition of T and natural killer cell cytolytic function and inhibition of allogeneic T-cell proliferation. Due to its immune-modulator properties, the HLA-G gene expression has been associated with the outcome of allograft and of autoimmune, infectious, and malignant disorders. Several lines of evidence indicate that HLA-G polymorphisms at the 5'-upstream regulatory region (5' URR) and 3'-untranslated region (3' UTR) may influence the HLA-G expression levels. Because Brazilians represent one of the most heterogeneous populations in the world with the widest HLA-G coding region variability already detected among the studied populations, a high level of variability and haplotype diversity would be expected in Brazilians. On this basis, the 5' URR, coding, and 3' UTR variability were evaluated in a Brazilian series consisting of 100 healthy bone marrow donors, as well as the linkage disequilibrium pattern along the gene and the extended haplotypes encompassing several gene segment variations. The HLA-G locus seems to present six different HLA-G lineages showing functional variations mainly in nucleotides of the regulatory regions. Differences were observed at the 5' URR in positions that either coincide with or are close to transcription factor-binding sites and at the 3' UTR mainly in positions that have already been reported to influence HLA-G mRNA availability. We report several lines of evidence for balancing selection acting on the regulatory regions, which may indicate that these HLA-G lineages may be related to the differential HLA-G expression profiles.
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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 it