β‐Catenin in the renal stroma regulates apoptosis via Bcl2l1 during kidney development (344.4)
Bibliographic record
Abstract
Kidney development is dependent upon reciprocal inductive interactions between epithelium, mesenchyme, and stroma cells. β‐catenin is essential for the formation of mesenchyme derived nephrons and epithelial derived collecting duct system. β‐catenin protein is expressed in medullary, cortical, and capsular stroma in embryonic and mature kidneys. However, its role in the renal stroma is not well understood. We generated mice with ß‐catenin deficiency exclusively in the renal stroma (termed ß‐catLOF‐S). Kidneys from ß‐catLOF‐S demonstrated a paucity of renal capsule and a significant reduction in the stromal cell population (4.55 +/‐ 0.19 stromal cells/mm2 WT vs 2.52 +/‐ 0.26 in ß‐catLOF‐S). Analysis of apoptosis in ß‐catLOF‐S revealed a significant increase in apoptotic stromal cells by E13.5 (0.54 +/‐ 0.03 WT apoptotic cells/mm2 vs 1.19 +/‐ 0.14 in ß‐catLOF‐S). We investigated β‐catenin targets that regulate apoptosis and observed significant reductions in Bcl2l1 mRNA and protein in ß‐catLOF‐S kidneys. We demonstrate β‐catenin forms a novel molecular complex with transcriptional co‐activators TBX5, YAP1, and YES1, and binds to the TBX5 consensus site within the Bcl2l1 promoter. These results suggest β‐catenin controls stromal cell survival via regulation of Bcl2l1 by forming a novel transcriptional complex during kidney development. Grant Funding Source : Supported by NSERC (Natural Sciences and Engineering Research Council of Canada) and KFOC (The Kidne
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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) | 0.002 | 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".