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Record W2015532507 · doi:10.1634/stemcells.2004-0356

Lack of Self‐Renewal Capacity in <i>Fancc</i> <sup>−/−</sup> Stem Cells After Ex Vivo Expansion

2005· article· en· W2015532507 on OpenAlexafffund
Ouassila Habi, Marie‐Chantal Delisle, Nancy Messier, Madeleine Carreau

Bibliographic record

VenueStem Cells · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsUniversité LavalHôpital Saint-François d'Assise
FundersCanadian Institutes of Health Research
KeywordsStem cellBiologyHaematopoiesisEx vivoTransplantationFanconi anemiaCD34Cord bloodProgenitor cellImmunologyHematopoietic stem cell transplantationHematopoietic stem cellCancer researchCell biologyInternal medicineIn vivoGeneticsGeneMedicineDNA repair

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.250
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2005
Admission routes2
Has abstractyes

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