Transcriptional Activation of the SALL1 by the Human SIX1 Homeodomain during Kidney Development
Bibliographic record
Abstract
SALL1 is a member of the SAL gene family that encodes a group of putative developmental transcription factors. SALL1 plays a critical role during kidney development as mutations of the human SALL1 gene cause Townes-Brocks syndrome, which is associated with kidney malformation. Deletion of the mouse Sall1 gene results in renal agenesis or severe dysgenesis. To date, little is known about the molecular mechanisms controlling the regulation of SALL1 expression. This report describes the cloning and characterization of the human SALL1 gene promoter. Consensus binding sites were identified for several transcription factors, with multiple sites for WT1 and SIX1. In transient transfection assays, SALL1 promoter activity was higher in HEK-293 human kidney cells and COS-7 monkey kidney cells than in NIH-3T3 fibroblasts, consistent with its role in kidney development. Transcription from the SALL1 promoter was strikingly activated by the SIX1 protein. Utilizing a luciferase reporter gene assay, endogenous or exogenously added SIX1 activated the SALL1 promoter. Overexpression of SIX1 induced a significant increase in the endogenous SIX1 protein. In addition, co-expression of SIX1 and Eya1 resulted in a significant increase in the SALL1 promoter activity when compared with either SIX1 or Eya1 alone. Finally, we demonstrate that SIX1 was able to bind to the SALL1 promoter by retardation assays and that deletion of the putative element of SIX1 significantly diminishes the SALL1 promoter activity response to SIX1 stimulation. Our findings, when taken together, indicate that SALL1 is a likely target gene for SIX1 during kidney development.
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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) | 0.001 | 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".