Activation of Hypodermal Differentiation in the <i>Caenorhabditis elegans</i> Embryo by GATA Transcription Factors ELT-1 and ELT-3
Bibliographic record
Abstract
The Caenorhabditis elegans GATA transcription factor genes elt-1 and elt-3 are expressed in the embryonic hypodermis (also called the epidermis). elt-1 is expressed in precursor cells and is essential for the production of most hypodermal cells (22). elt-3 is expressed in all of the major hypodermal cells except the lateral seam cells, and expression is initiated immediately after the terminal division of precursor lineages (13). Although this expression pattern suggests a role for ELT-3 in hypodermal development, no functional studies have yet been performed. In the present paper, we show that either elt-3 or elt-1 is sufficient, when force expressed in early embryonic blastomeres, to activate a program of hypodermal differentiation even in blastomeres that are not hypodermal precursors in wild-type embryos. We have deleted the elt-3 gene and shown that ELT-3 is not essential for either hypodermal cell differentiation or the viability of the organism. We showed that ELT-3 can activate hypodermal gene expression in the absence of ELT-1 and that, conversely, ELT-1 can activate hypodermal gene expression in the absence of ELT-3. Overall, the combined results of the mutant phenotypes, initial expression times, and our forced-expression experiments suggest that ELT-3 acts downstream of ELT-1 in a redundant pathway controlling hypodermal cell differentiation.
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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 | 0.000 |
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".