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Record W77452706 · doi:10.1182/blood.v96.12.3979

High marrow seeding efficiency of human lymphomyeloid repopulating cells in irradiated NOD/SCID mice

2000· article· en· W77452706 on OpenAlexaff
Johanne D. Cashman, Connie J. Eaves

Bibliographic record

VenueBlood · 2000
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsBC Cancer Agency
FundersNational Heart, Lung, and Blood Institute
KeywordsHaematopoiesisNodStem cellBiologyBone marrowSevere combined immunodeficiencyMyeloidImmunologyCord bloodTransplantationAndrologyMolecular biologyIn vivoInternal medicineMedicineCell biologyGenetics

Abstract

fetched live from OpenAlex

Transplantable human hematopoietic stem cells (competitive repopulating units [CRU]) can be quantitated based on their ability to produce large populations of lymphoid and myeloid progeny within 6 weeks in the marrow of intravenously injected, sublethally irradiated NOD/SCID mice. It is shown that the proportions of total injected human fetal liver and cord blood CRU in the marrow of mice 24 hours after transplantation are 5% and 7%, respectively, as determined by limiting-dilution assays in other primary and secondary NOD/SCID mice. The similarity in these 2 seeding efficiency values suggests that mechanisms regulating the ability of human hematopoietic stem cells to enter the marrow from the blood, at least in this xenotransplant model, do not change between fetal life and birth. In addition, it appears that previously reported human stem cell frequencies and their in vivo self-renewal activity measured in NOD/SCID mice have been markedly underestimated. (Blood. 2000;96:3979-3981)

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.077
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.012
GPT teacher head0.244
Teacher spread0.232 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations52
Published2000
Admission routes1
Has abstractyes

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