ID1 Expression in Glioblastoma Cells Correlates with One-carbon Mediated Purine Synthesis
Bibliographic record
Abstract
Glioblastoma is the most common primary brain tumour in adults. Inhibitor of DNA-binding-1 (ID1) is a transcriptional regulatory protein and a regulator of tumourigenesis in glioblastoma. While ID1 was shown to regulate metabolism in other cancer types, the role of ID1 in metabolic reprogramming of glioblastoma is not clear. In this thesis, we identify a correlation between ID1 expression and 1-C-mediated de novo purine synthesis in glioblastoma, and present data in support of a hypothesizes that this metabolic phenotype underlies proliferative capacity and TMZ-resistance of ID1-high glioblastoma cells. The expression of one-carbon (1-C) metabolism and purine synthesis enzymes are significantly reduced with ID1 knockout. Exogenous purine supplementation restores proliferation in ID1-deficient cells. Treatment of temozolomide-resistant glioblastoma cells (U251-TR) with AICAR sensitizes these cells to chemotherapy. Our data suggest that the metabolic phenotype observed in ID1-high treatment-resistant glioma cells is a potential therapeutic target for this cell population.
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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 | 0.000 |
| 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".