Sept12 is a component of the mammalian sperm tail annulus
Bibliographic record
Abstract
Since their essential role in cytokinesis was first shown in yeast, the septins have been described to function in diverse cellular contexts. The members of this unique class of GTPases are capable of binding and hydrolyzing GTP, associating with membranes and oligomerizing into higher order structures. Here we describe Sept12, a novel septin, identified in a yeast two hybrid screen using Sept5 as the bait. Sept12 contains the primary sequence elements of a septin and is capable of interacting with other septins. In addition, Sept12 purifies with bound nucleotide and binds to phosphoinositides, confirming its identity as a septin. RT-PCR and Northern blots reveal that Sept12 mRNA is expressed predominantly in testis, and this is supported by tissue Western blots. In rats, Sept12 protein levels rise upon sexual maturity and the Sept12 protein colocalizes with the annulus in isolated mature spermatozoa. Further, coexpression of Sept12 with Sept4, an essential annulus component, results in complete colocalization of both proteins into robust and highly curved filaments in CHO cells. This study suggests Sept12 may be involved in mammalian fertility.
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 | 0.001 | 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 | 0.002 |
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".