Differential Usage of Class II Transactivator Promoters PI and PIV during Inflammation and Injury in Kidney
Bibliographic record
Abstract
Expression of class II transactivator (CIITA), the transcriptional regulator that controls all class II expression, is controlled in cell lines in vitro by three promoters: the dendritic cell promoter PI, the B cell promoter PIII, and the interferon-gamma (IFN-gamma)-inducible promoter, PIV. The authors examined the promoter usage in vivo in mouse kidney in the basal state and in response to IFN-gamma, endotoxin, allostimulation, and renal injury. Genetically modified mice were used to examine the dependency of each promoter on IFN-gamma and on the transcription factor interferon regulatory factor 1 (IRF-1). Usage of distinct CIITA promoters was monitored by real-time reverse transcriptase polymerase chain reaction (RT-PCR) using the unique sequences in the 5' end of the transcript from each promoter. Kidneys in both control mice and IFN-gamma knockouts expressed chiefly PI- and PIV-related products. Administration of recombinant IFN-gamma activated only promoter PIV. Endotoxin or allogeneic stimulation elevated the PIV-related mRNA, dependent on IFN-gamma and on IRF-1. Ischemic renal injury, however, increased the PI- and PIV-driven mRNA expression in wild-type but also in IFN-gamma-deficient mice. Thus the in vivo control of CIITA promoters in kidney is similar to that observed in vitro (i.e., basal-state usage of PI and IFN-gamma-dependent usage of PIV during inflammation), but it also shows additional levels of control: IFN-gamma-independent basal activity of PIV and IFN-gamma-independent induction of PIV during tissue injury.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".