Lack of Self‐Renewal Capacity in <i>Fancc</i> <sup>−/−</sup> Stem Cells After Ex Vivo Expansion
Bibliographic record
Abstract
Treatments of the hematological manifestation in Fanconi anemia (FA) are first supported by attempts to stimulate hematopoiesis with androgens or hematopoietic growth factors. However, the long-term curative treatment of the hematological manifestation in FA patients is bone marrow (BM) or cord blood stem cell transplantation. The success rate for BM transplantation is fairly high with HLA-matched sibling donors but is, unfortunately, low with HLA-matched unrelated donors. An alternative curative treatment for those patients with no sibling donors might be gene transfer into hematopoietic stem cells. Because FA patients have reduced numbers of stem/progenitor cells, ex vivo expansion of hematopoietic stem cells would be a crucial step in gene transfer protocols. Using the FA mouse model, Fancc-/-, we tested the ability of CD34- hematopoietic stem cells to support ex vivo expansion. We determined that Fancc-/- CD34- stem cells have reduced reconstitution ability and markedly reduced self-renewal ability after culture, as shown by secondary transplants. These results indicate that FA stem cells may not be well suited for ex vivo expansion before gene transfer or transplantation protocols.
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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".