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Effective Expansion and Engraftment Of Nonhuman Primate CD34+Hematopoietic Stem Cells After Co-Culture With The Small Molecule UM171

2013· article· en· W2287476653 on OpenAlexaff
Jennifer L. Gori, Korashon L. Watts, Devikha Chandrasekaran, Guy Sauvageau, Hans‐Peter Kiem

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsHaematopoiesisCD34Stem cellTransplantationImmunologyCD38BiologyCord bloodBone marrowCancer researchCell biologyAndrologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Chemical factors that simultaneously maintain and expand definitive hematopoietic stem cells (HSCs) have the potential to greatly improve the clinical outcome in patients transplanted with allogeneic umbilical cord blood or gene corrected autologous CD34+ cells, in which the number of cells available for transplantation is limited. The recently discovered small molecules UM729 and UM171 effectively expand HSCs and synergize with StemRegenin1 (SR1) to enhance human HSC expansion, leading to successful long-term engraftment of SCID repopulating cells (SRCs) in immunodeficient mice. In order to facilitate translation of these small molecules for clinical use, we sought to determine the effect of UM729 and UM171 on expansion and transduction of nonhuman primate CD34+ cells from various sources. We hypothesized that UM171 would expand definitive CD34+ HSCs from macaque umbilical cord blood (Mn UCB), thereby increasing the definitive HSC cell dose available for engraftment. Here, we compared engraftment of the progeny of 250,000 Mn UCB CD34+ cells after a 10-day expansion with cytokines with or without SR1, UM729, or UM171 in immunodeficient mice. Although all expansion conditions led to >44-fold increase in the number of CD34+ cells across all cohorts, mice transplanted with UM171 treated Mn UCB CD34+ cells had a significantly higher level of engraftment compared to all other groups (41% nonhuman primate CD45+ cells in peripheral blood at 10 weeks post transplantation, P<0.05). We next wanted to determine whether UM171 expands bone marrow derived CD34+ cells. The combination of SR1 and UM171 expanded CD34+CD38- cells from mobilized and steady state bone marrow 9- and 3-fold, respectively. Mobilized CD34+ cells with an LT-HSC phenotype (CD34+CD38-Thy1+CD45RA-CD49f+) increased 13-fold. This robust expansion in phenotypic LT-HSCs was accompanied by a significant decrease in short-term hematopoietic colony forming cell (CFC) potential, compared to unexpanded CD34+ cells (p<0.005). Before translation to a large animal transplantation model, we next wanted to assess the effect of UM171 on transduction and expansion of gene modified HSCs. Macaque bone marrow derived CD34+ cells were transduced with GFP expressing lentivirus and alphavirus vectors. UM171 co-culture enhanced viability after lentivirus transduction and GFP+ cells with an LT-HSC phenotype expanded 5-fold compared to 1.7-fold expansion of these cells in the absence of UM171. UM171 had no effect on expansion of alphavirus transduced CD34+ cells. Studies are currently underway to compare the synergistic effect of SR1 and UM171 on the transduction, expansion, and engraftment of UCB and adult CD34+ cells in immunodeficient mice and nonhuman primate recipients, and to clarify the molecular target of UM171 in nonhuman primate HSCs. These findings mark a critical step toward the clinical translation of small molecule based HSC expansion therapeutics for use in UCB and gene modified autologous HSC transplantation. Disclosures: No relevant conflicts of interest to declare.

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 score0.001
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 head0.008
GPT teacher head0.244
Teacher spread0.236 · 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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Citations1
Published2013
Admission routes1
Has abstractyes

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