Endothelial Cells Modulate Both T-Cell-Dependent and T-Cell-Independent Plaque-Forming Cell Generation in vitro
Bibliographic record
Abstract
The effects of live endothelial cells (EC), paraformaldehyde fixed EC, and EC supernatant were measured on pokeweed mitogen (PWM)-induced T-cell-dependent plaque-forming cell (PFC) generation by peripheral blood mononuclear cell (PBM). At low doses (less than or equal to 2 x 10(4) cells/culture) live EC helped PFC generation. At higher doses (greater than or equal to 10 x 10(4) cells/culture) the effect of live EC was always marked suppression (less than 10% of baseline PFC). In contrast both fixed EC and EC supernatant provided help exclusively over a wide dose range. The EC-helper effect enhanced the sensitivity of PBM to suboptimal PWM doses and also accelerated the rate of PFC generation during culture. EC influences on PFC could not be modified by gamma-interferon induction of surface DR which is known to modify EC accessory cell ability. There was also only minimal helper activity of live EC and fixed EC on the PFC generation by Epstein-Barr virus-induced cultures of purified B cells (which had been depleted of both T cells and monocytes). In contrast, suppression (greater than 97%) of PFC in isolated B-cell cultures was found even when EC constituted less than 1% of cultured cells. These results imply EC have the potential of providing multiple regulatory signals which modulate in vitro antibody production. EC-derived mechanisms are independent of their accessory cell function and require interaction with non-B cells for help, but suppression may occur directly at the B-cell level.(ABSTRACT TRUNCATED AT 250 WORDS)
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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 | 0.001 |
| 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".