Striatin-3 is a human autoantigen but it is not associated with the S-phase G2 nuclear antigen (SG2NA) staining pattern
Bibliographic record
Abstract
Human autoantibodies have a long history of being valuable reagents to identify and characterize unique subcellular compartments, macromolecular complexes, and their individual components. One such discovery started as a unique cell-cycle related immunofluorescence pattern characterized as autoantibody targets localized in S and G2 phase nuclei of tissue culture cells, which became known as the "SG2NA" (SG2 nuclear antigen). These descriptions were followed by the identification of a calmodulin-binding protein family named 'striatin' that was later identified as three paralogs: Striatin/STRN1, Striatin-3/STRN3/SG2NA, and Striatin-4/STRN4/Zinedin. Many subsequent reports have used the designations SG2NA and striatin interchangeably. This report reviews the history of SG2NA and clarifies that striatin-3 is indeed a target autoantigen of some autoimmune sera, but commercially available striatin-3 antibodies or human sera that react with striatin-3 do not produce a SG2 phase nuclear staining pattern on HEp-2 cells. Hence, future reports should not use anti-SG2NA and anti-striatin interchangeably.
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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) | 0.002 | 0.001 |
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".