The Transcription Factor PU.1 is a Critical Regulator of Cellular Communication in the Immune System
Bibliographic record
Abstract
PU.1 is an E26 transformation-specific family transcription factor that is required for development of the immune system. PU.1 functions at both early and late stages of lymphoid and myeloid differentiation. At least 110 direct target genes of PU.1 have been identified since its discovery in 1988. We used the published literature to determine if aspects of PU.1 function can be inferred from the identity of target genes that are directly activated. This analysis revealed that 61% of described PU.1 target genes encode extracellular proteins or transmembrane proteins, most of which are involved in cellular communication. The genes activated by PU.1 can be grouped into pathways based on function. Specific examples of cellular communication pathways regulated by PU.1 include (1) antibodies and antibody receptors, (2) cytokines and cytokine receptors regulating leukocyte growth and development, and (3) cytokines and cytokine receptors regulating inflammation. As a consequence of mutation or repression of the gene encoding PU.1, hematopoietic progenitors may be generated but there is a "failure to thrive" because they cannot interact with their environment. The loss of cellular communication caused by reduced PU.1 levels can lead to leukemia. In summary, PU.1 is a critical regulator of cellular communication in the immune system.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".