Selectively weakened binding of methotrexate by human dihydrofolate reductase allows rapid <i>ex vivo</i> selection of mammalian cells
Bibliographic record
Abstract
Ex vivo selection of transduced hematopoietic stem cells (HSC) with drug-resistance genes offers the possibility to enrich transduced cells prior to engraftment, toward increased reconstitution in transplant recipients. We evaluated the potential of highly methotrexate (MTX)-resistant variants of human dihydrofolate reductase (hDHFR) for this application. Two subsets of hDHFR variants with reduced affinity for MTX that had been previously identified in a bacterial system were considered: those with substitutions at positions 31, 34, and/or 35, and those with substitutions at position 115. The variants were characterized for their resistance to pemetrexed (PMTX), an antifolate that is related to MTX. We observed a strong correlation between decreased binding to both antifolates, although the identity of specific sequence variations modulated the correlation. We chose a subset of hDHFR variants for tests of ex vivo MTX resistance, taking into consideration their residual specific activity and their decrease in affinity for the related antifolates. Murine myeloid progenitors and other differentiated hematopoietic cells were transduced and exposed to MTX in a nucleotide-free medium. Bone marrow (BM) cells including 15% cells infected with F31R/Q35E were enriched to 98% transduced cells within 6 days of ex vivo selection. hDHFR variant F31R/Q35E allowed a strong ex vivo enrichment upon a short exposure to MTX relative to a less resistant variant of hDHFR, L22Y. We have thus demonstrated that bacterial selection of highly antifolate-resistant hDHFR variants can provide selectable markers for rapid ex vivo enrichment of hematopoietic cells.
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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) | 0.001 | 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".