CENP-O, a Protein Localized at the Centromere Throughout the Cell Cycle, Is a Novel Target Antigen in Systemic Sclerosis
Bibliographic record
Abstract
OBJECTIVE: CENP-A, -B, and -C are major centromere components and the main targets of anticentromere antibodies (ACA). Many other proteins are also assembled around CENP-A nucleosomes in interphase nuclei to form the interphase centromere complex (ICEN). The CENP-O protein is a component of the ICEN that localizes at the centromere throughout the cell cycle. We investigated whether CENP-O is also targeted by sera from patients with systemic autoimmune diseases. METHODS: Sera from 114 patients with ACA and 142 patients without ACA were analyzed. Western blotting and an ELISA with bacterially expressed recombinant CENP-O protein were performed to screen for the presence of anti-CENP-O antibodies. In addition, anti-CENP-O antibody-positive sera were tested by Western blotting HeLa cell extracts to examine reactivity with the major centromere antigens. RESULTS: Four female patients with ACA had anti-CENP-O antibodies. There was no correlation of anti-CENP-O antibodies with specific clinical features or other serological features. However, one of the 4 patients, who showed a unique clinical course of scleroderma, had sera with markedly high reactivity to CENP-O. CONCLUSION: CENP-O protein is a novel centromere antigen that is recognized by a very minor population of ACA-positive patients with scleroderma. Because CENP-O is an ICEN component, ICEN may be a large antigenic structure in systemic autoimmunity.
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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".