Lymphoid signal transduction mechanisms linked to cellular prion protein
Bibliographic record
Abstract
The normal cellular isoform of the prion protein (PrPC) is a glycosylphosphatidylinositol-anchored cell surface protein that is expressed widely, including in lymphoid cells. We compared lectin-induced mitogenesis and selected cell signaling pathways in splenocytes from wild-type BALB/c mice and Zrch Prnp0/0 (PrP0/0) mice bred on a BALB/c background for more than 10 generations. 3H-thymidine incorporation induced by concanavalin A (Con A) or phytohemagglutinin (PHA) was significantly reduced in PrP0/0 splenocytes, most prominently early in activation (24 and 48 h). Con A activation in PrP0/0 splenocytes was associated with differences in the phosphorylation (P) patterns of protein kinase C (PKC alpha/beta, but not delta) and the PKC downstream effectors p44/42MAPK (mitogen-activated protein kinase). P-PKC and P-MAPK profiles were similar in wild-type and PrP0/0 splenocytes following PMA treatment, indicating that the ability of these 2 enzymes to be phosphorylated is not impaired in the absence of PrPC. Con A-induced calcium fluxes, monitored by indo-1 fluorescence, were equivalent in PrP0/0 and PrP+/+ splenocytes, suggesting that calcium-dependent mechanisms are not directly implicated in the differential phosphorylation patterns or mitotic responses. Our data indicate that PrP0/0 splenocytes display defects in upstream or downstream mechanism(s) that modulate PKCalpha/beta phosphorylation, which in turn affects its capacity to regulate splenocyte mitosis, consistent with a role for PrPC in immune function.
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 | 0.000 | 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".