A Cell Death Pathway Induced by Antibody-Mediated Cross-Linking of CD45 on Lymphocytes
Bibliographic record
Abstract
The protein tyrosine phosphatase CD45 is a highly expressed glycoprotein present on all nucleated cells of hematopoietic origin. To date, all the functions attributed to CD45 are inherently coupled to its phosphatase activity. For instance, the regulation of lymphocyte antigen receptor signaling is mediated through the dephosphorylation, and hence activation, of Src-family kinases by CD45. Moreover, signaling via cytokine receptors is negatively modulated by CD45 by dephosphorylation of Janus kinase family members. Recently, another function for CD45, unrelated to regulation of surface receptor signaling, has been unraveled. Specific engagement of CD45 by monoclonal antibodies at the surface of lymphocytes induced their death, through an alternative caspase-independent pathway. In striking contrast to all other previously reported functions for CD45, its phosphatase activity is completely dispensable for the induction of cell death. This article reviews the current knowledge on the death pathway triggered by CD45 ligation on lymphocytes. In an attempt to better elucidate the mechanism of cell death induction through CD45, we also provide original data regarding the susceptibility of various subsets of immature and mature T and B cells to death induced by CD45 engagement. The physiological significance and therapeutic potential of CD45-induced death are also discussed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".