Glomerular-Specific Gene Excision In Vivo
Bibliographic record
Abstract
Podocytes (glomerular visceral epithelial cells) are highly specialized cells that are found in the renal glomerulus and make up a major portion of the filtration barrier between the blood and urinary spaces. Recently, the identification of a number of genes responsible for both autosomal dominant and recessive forms of human nephrotic syndrome has provided insight into a number of molecules responsible for unique features of the podocyte such as the slit diaphragms. Despite these major advances in our understanding of podocyte biology, the function of many genes expressed in the podocyte remains unknown. Targeted gene disruption using homologous recombination in murine embryonic stem cells (ES cells) is a powerful tool to determine the biologic function of genes in vivo. However, resulting embryonic lethal or pleiotropic phenotypes often preclude the analysis of genes in specific renal cell types. To overcome this problem, a glomerular-specific Cre-recombinase transgenic murine line under the control of the Nphs1 (nephrin) promoter (Neph-Cre) was generated. This article reports successful Cre-mediated excision of a 'floxed' transgene specifically in podocytes in vivo. This murine founder line represents a powerful new tool for the manipulation of the expression of genes in podocytes and will provide valuable insight into podocyte biology in the whole animal.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".