Identification of Novel Isoforms of Activin Receptor-Like Kinase 7 (ALK7) Generated by Alternative Splicing and Expression of ALK7 and Its Ligand, Nodal, in Human Placenta1
Bibliographic record
Abstract
Members of the transforming growth factor (TGF) beta family play critical roles in regulating placental functions. Using polymerase chain reaction (PCR)-based strategies, we have cloned four transcripts encoding full-length activin receptor-like kinase 7 (ALK7) and three novel ALK7 isoforms from the human placenta. The full-length ALK7 has 493 amino acids and exhibits all characteristics of TGFbeta type I receptors, including an activin receptor-binding domain, a transmembrane domain, a GS domain, and a serine/threonine kinase domain. The three ALK7 isoforms identified include a truncated ALK7 (tALK7) and two soluble proteins designated as soluble ALK7a (sALK7a) and soluble ALK7b (sALK7b). The tALK7 lacks the first 50 amino acids of the full-length ALK7, resulting in a truncated receptor-binding domain. Both sALK7a and sALK7b lack transmembrane and GS domains. The ALK7 gene, located on chromosome 2q24.1, is composed of at least nine exons and eight introns. The isoforms of ALK7 are generated by alternative splicing. Transcripts encoding the sALK7 isoforms differ from the full-length transcript by lacking exon III or both exons III and IV in sALK7a and sALK7b, respectively. The transcript for tALK7 uses an alternative exon located within the first intron of the full-length transcript. These results indicate that four distinct proteins are encoded by the human ALK7 gene. Both reverse transcription-PCR and Western blot analysis showed that ALK7 and its isoforms are expressed in human placentae of different stages of pregnancy and that their expression is developmentally regulated. In addition, mRNA expression of Nodal, a ligand for ALK7, was also detected in placentae of different gestational age. The role of Nodal and ALK7 in human placenta is currently under investigation.
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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 | 0.000 |
| 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".