LILRB1 Intron 1 Has a Polymorphic Regulatory Region That Enhances Transcription in NK Cells and Recruits YY1
Bibliographic record
Abstract
Abstract LILRB1 is a highly polymorphic receptor expressed by subsets of innate and adaptive immune cells associated with viral and autoimmune diseases and targeted by pathogens for immune evasion. LILRB1 expression on human NK cells is variegated, and the frequency of LILRB1+ cells differs among people. However, little is known about the processes and factors mediating LILRB1 transcription in NK cells. LILRB1 gene expression in lymphoid and myeloid cells arises from two distinct promoters that are separated by the first exon and intron. In this study, we identified a polymorphic 3-kb region within LILRB1 intron 1 that is epigenetically marked as an active enhancer in human lymphoid cells and not monocytes. This region possesses multiple YY1 sites, and complexes of the promoter/enhancer combination were isolated using anti-YY1 in chromatin immunoprecipitation–loop. CRISPR-mediated deletion of the 3-kb region lowers LILRB1 expression in human NKL cells. Together, these results indicate the enhancer in intron 1 binds YY1 and suggest YY1 provides a scaffold function enabling enhancer function in regulating LILRB1 gene transcription in human NK cells.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".