Genetically regulated human <i>NODAL</i> splice variants are differentially post-transcriptionally processed and functionally distinct
Bibliographic record
Abstract
Abstract NODAL is a morphogen essential for early embryonic development in vertebrates. Since much of our understanding of NODAL comes from model organisms, we aimed to directly assess post-transcriptional regulation of human NODAL with specific attention to a newly discovered human-specific NODAL splice variant. Selective depletion of the NODAL variant in human embryonic stem cells resulted in increased LIFR levels, while total NODAL knockdown resulted in a decrease of several markers of pluripotency. The NODAL variant did not transmit a canonical NODAL signal in zebrafish embryos, but may share some functional capability with canonical NODAL in cancer cells. At the protein level, disruption of disulfide bond formation dramatically enhanced proteolytic processing of NODAL. Disruption of NODAL N-glycosylation decreased its secretion but not extracellular stability, and a novel N-glycosylation in the NODAL variant contributed to enhanced secretion. Collectively, this work offers a direct and precise account of post-transcriptional regulation of human NODAL.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".