Differentiation of human monocytic cell lines confers susceptibility to Bacillus anthracis lethal toxin
Bibliographic record
Abstract
Anthrax lethal toxin (LT) is comprised of protective antigen and lethal factor. Lethal factor enters mammalian cells in a protective antigen-dependent process and cleaves mitogen-activated protein kinase kinases. Although LT has no observable effect on many cell types, it causes necrosis in macrophages derived from certain mouse strains and apoptosis in activated mouse macrophages. In this study, we observed that LT treatment of three different human monocytic cell lines U-937, HL-60 and THP-1 did not induce cell death. Cells did become susceptible to the toxin, however, after differentiation into a macrophage-like state. Treatment with LT resulted in decreased phosphorylation of p38, ERK1/2 and JNK in both undifferentiated and differentiated HL-60 cells, suggesting that the change in susceptibility does not result from differences in toxin delivery or substrate cleavage. Death of differentiated HL-60 cells was accompanied by chromosome condensation and DNA fragmentation, but was not inhibited by the pan-caspase inhibitor Z-VAD-FMK. In addition, we observed that the macrophage differentiation process could be inhibited by LT. Our results indicate that LT-mediated death of mouse and human macrophages may occur through distinct processes and that the differentiation state of human cells can determine susceptibility or resistance to LT.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".