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Human SIRPA Polymorphism Modulates Macrophage-Mediated Suppression of Human Hematopoiesis

2008· article· en· W2559051711 on OpenAlexaff
Takuro Kuriyama, Katsuto Takenaka, Takashi Kumano, Seido Oku, Shingo Urata, Koji Nagafuji, John E. Dick, Jayne S. Danska, Koichi Akashi

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsHospital for Sick ChildrenUniversity Health Network
Fundersnot available
KeywordsCD47BiologyHaematopoiesisImmunoglobulin superfamilyMyeloidImmune systemAntibodyCell biologyMolecular biologyImmunologyStem cell

Abstract

fetched live from OpenAlex

Abstract Signal regulatory protein-α (SIRPA) is an immunoglobulin superfamily transmembrane protein with intracellular docking sites for two Src homology domain containing tyrosine phosphatases, and most abundantly expressed in neurons and myeloid cells. SIRPA is a critical immune inhibitory receptor on macrophages. CD47 is a ligand for SIRPA, and CD47 interaction with SIRPA serves as a ‘self-recognition’ that prevents phagocytosis of the cells expressing CD47. Recently, we (Nature immunology 2007) identified polymorphism in murine Sirpa as a critical modulator of engraftment in xenogeneic model of human-to-mouse hematopoietic stem cell transplantation, and non-obese diabetic (NOD) mouse Sirpa polymorphism has far greater reactivity with human CD47 than that of the respective alleles of other strains resulting in effective engraftment of human hematopoietic cells. In addition, as well as the mouse, human SIRPA is highly polymorphic in the IgV domain. Then, we examined whether polymorphism in SIRPA induced the difference for suppressive effect of human macrophage on hematopoiesis. First, we examined sequence alignment of SIRPA IgV domain (exon 3 of SIRPA) of healthy control 18 people. We identified two major variants; 6 people with variant1 (V1) and 12 people with variant2 (V2). The SIRPA amino acid sequences of V1 and V2 are different in 13 residues, and its residues in orthologous position between species that is polymorphic between NOD and other strains as well as between V2 and V1. Next, we examined that whether there is a difference in the effect on hematopoiesis between V1 macrophage and V2 macrophage by long term culture-initiating cells (LTC-IC) assay on MS-5 stromal cells. For macrophage preparation, peripheral mononuclear cells from healthy donors were purified by positive selection using MACS CD14 Micro Beads (Miltenyi Biotec), and they were incubated with M-CSF for 3 days. For LTC-IC assay, 5×102 differentiated macrophages were seeded onto established MS-5 stroma in 96-well tissue culture plates. The next day, human hematopoietic CD34+ cells were seeded at doses of 102 to 5×103 cells per well and cultured for 4 weeks. At the end of the culture, cells were detached and plated into methylcellulose progenitor assays. Macrophage had a suppressive effect on the number of LTC-IC in all cultures. There was tendency that V1 macrophage had a greater suppression compared to V2 macrophage, however the differences between V1 and V2 were marginal (p=0.03). These data suggests that human macrophages have suppressive effect on hematopoiesis, and human SIRPA polymorphism modulates macrophage-mediated suppression of hematopoiesis in allogenic model, likewise in xenogeneic model of human-to-mouse hematopoietic stem cell transplantation. Moreover, SIRPA polymorphism might be related to graft failure in the allogenic hematopoietic stem cell 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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)0.0020.000

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 head0.016
GPT teacher head0.237
Teacher spread0.221 · 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 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".

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Citations0
Published2008
Admission routes1
Has abstractyes

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