CD43 processing and nuclear translocation of CD43 cytoplasmic tail are required for cell homeostasis
Bibliographic record
Abstract
The sialomucin CD43 is highly expressed on most hematopoietic cells. In this study, we show that the CD43 ectodomain is shed from murine granulocytes, mast cells, and T cells, but not from macrophages. To study the significance of CD43 shedding, we constructed 2 CD43/34 chimeras in which the CD43 membrane-proximal or transmembrane domain was swapped with the corresponding domain from CD34 that is not shed from cells. Viability of cells that normally shed CD43 was negatively affected when forced to express either of the 2 CD43/34 chimeras, but toxicity was reduced when cells coexpressed wild-type CD43. The CD43 cytoplasmic tail (CD43ct) was found to translocate into the nucleus, and inhibition of either its nuclear translocation or its release by gamma-secretase was proapoptotic. Involvement of CD43 in regulation of apoptosis is consistent with our findings that CD43ct was modified by small ubiquitin-like modifier-1 and was colocalized with promyelocytic nuclear bodies. CD43-deficient cells exhibited reduced levels of promyelocytic nuclear bodies and had increased sensitivity to apoptosis induced by growth factor withdrawal or T-regulatory cell suppression. Taken together, our data indicate an essential function of CD43 processing and nuclear localization of CD43ct in cell homeostasis and apoptosis.
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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".