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Record W2587459771 · doi:10.1182/blood.v110.11.175.175

Identification of a New Genetic Determinant Controlling Human Hematopoietic Stem Cell Engraftment.

2007· article· en· W2587459771 on OpenAlexaff
Katsuto Takenaka, Tatiana K. Prasolava, Jean Wang, Steven Mortin-Toth, Sam Khalouei, Olga I. Gan, John E. Dick, Jayne S. Danska

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenUniversity Health Network
Fundersnot available
KeywordsBiologyNodStem cellTransplantationHaematopoiesisHematopoietic stem cellImmunologyXenotransplantationHuman leukocyte antigenSevere combined immunodeficiencyHumanized mouseHematopoietic stem cell transplantationImmune systemGeneticsAntigenGeneMedicine

Abstract

fetched live from OpenAlex

Abstract Transplantation of human hematopoietic stem cells (HSC) has been the most important clinical application of stem cell biology. A key discovery enabling successful HSC transplantation was the recognition that HSC engraftment is controlled by human leukocyte antigen (HLA) polymorphism. Although HLA disparity plays a key role in graft rejection, graft failure can occur even in patients receiving an HLA-identical transplant, suggesting that additional, as yet uncharacterized, factors modulate engraftment. We have identified a new genetic determinant that controls the outcome of human HSC transplantation. Xenotransplantation in the non-obese diabetic/severe combine immune-deficient (NOD.SCID) mouse is the best functional assay for human HSC, based on their ability to repopulate recipient animals. We show that NOD.SCID mice provide significantly better support for human hematopoietic grafts than mice of different strain backgrounds carrying equivalent immunodeficiency mutations. To identify the molecular basis for this strain-specificity, we used positional genetics combined with in vitro and in vivo assays of human hematopoiesis. We generated reciprocal congenic strains between NOD and the related non-obese diabetes resistant (NOR) strain which is 88% identical to NOD, and found that support of human hematopoiesis is conferred by variation in a single gene, signal regulatory protein α (Sirpα) on chromosome 2. Human HSC were unable to engraft NOD.SCID mice carrying the NOR allele of Sirpα. NOD SIRPα displays 24 amino acid variations compared to NOR and C57BL/6, concentrated in the immunoglobulin IgV-like domain of this Ig-superfamily member. SIRPα is expressed on myeloid cells and mediates signals that modulate diverse macrophage functions. Indeed, lentiviral gene transfer of the NOD Sirpα variant into NOR macrophages restored their ability to support human hematopoiesis in long-term chimeric stroma-based assays. CD47, the only known cellular ligand of SIRPα, is ubiquitously expressed and modulates multiple cellular actions on hematopoietic cells including platelet activation and adhesion, and leukocyte adhesion and cytokine production. NOD SIRPα demonstrates enhanced binding to human CD47 compared to the NOR protein, suggesting that differential interaction with CD47 underlies the strong effect of Sirpα variation on support of human hematopoiesis in vitro and in vivo. Our findings reveal a novel SIRPα-dependent, macrophage-mediated mechanism critical in HSC transplantation. Future analysis of Sirpα variants within human populations could identify alleles associated with hematopoietic support in BM failure syndromes or correlated with outcomes in clinical transplantation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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