Discovery of why acute lymphoblastic leukaemia cells are killed by asparaginase: Adventures of a young post-doctoral student, Bertha K Madras
Bibliographic record
Abstract
A surprising finding was made by JG Kidd (1909-1991) that guinea pig serum could make tumours disappear in mice. A later finding made by JD Broome (1939-) showed that asparaginase could suppress or kill tumour cells. However, the major mystery was why were only tumour cells but not normal cells affected by the asparaginase? The biology underlying this mechanism was unravelled by a young post-doctoral student, Bertha K Madras (1942-) who hypothesized that cells with low asparagine synthetase are those that die following treatment with asparaginase. To test her theory, Madras developed an assay for asparagine synthetase. The hypothesis was supported by the results that cells with normal asparagine synthetase were protected, while cells with low levels of this enzyme were killed by asparaginase. The findings provide a clinical guide for the use of asparaginase in acute lymphoblastic leukaemia in children and adults.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".