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Record W4389242997 · doi:10.1182/blood-2023-189646

Deciphering the Boundaries of KBTBD4-CoREST1 Axis Modulation to Maximally Expand Human HSCs

2023· article· en· W4389242997 on OpenAlexaff
Maria Florencia Tellechea, Jalila Chagraoui, Nadine Mayotte, Guy Sauvageau

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsStem cellUbiquitin ligaseDownregulation and upregulationIn vivoEx vivoBiologyCell biologyCancer researchUbiquitinMolecular biologyChemistryImmunologyGenetics

Abstract

fetched live from OpenAlex

Background: The UM171 technology has led to major progress in the expansion of cord blood units (CBUs) with low cellularity (Fares et al., Science 2014). This breakthrough has notably increased availability of better HLA-matched CBUs and improvements in clinical outcome (Cohen et al., Lancet Hematol 2020 and Blood Advances 2023, PMID: 37467030; see also Cohen et al. and Milano et al., this meeting). Enhanced HLA matching is a direct consequence of the selection of CBUs which are otherwise too small without expansion. Indeed, with this technology, approximately 50% of units in CB banks are eligible for clinical use, versus 5% without expansion. As recently reported, UM171 promotes the activation of the novel CUL3-KBTBD4 E3 ligase complex leading to the ubiquitylation and degradation of its natural substrate, CoREST1, a repressor complex that includes RCOR1, LSD1, HDAC1/2. This complex is upregulated in human HSC upon their ex vivo culture where it compromises their potential in the absence of UM171 (Chagraoui et al., Cell Stem Cell, 2021). Aims and Methods: The goal of this research is to understand the boundaries of KBTBD4-CoREST1 axis modulation that determine the optimal expansion of human HSCs in vitro and in vivo. More precisely, we monitored the relationship between CoREST1 levels in primary CD34+CD45RA-CD90+ CB cells and determined the impact of maximal CoREST1 degradation on the yield of expanded HSC using a series of functional in vitro and in vivo approaches along with transcriptomic data. Results: Using flow cytometry, we noticed a gradual degradation of RCOR1 with increasing concentrations of UM171 with a plateau at 125nM suggesting that maximal RCOR1 degradation was reached at this dose which represented a 4-fold increase above the concentration of UM171 used in current clinical manufacturing. Of interest, at high concentration of UM171 (i.e.,125nM), total nucleated cell expansion was reduced by approximately 30% while that of primitive CD34+CD45RA-CD90+EPCR+ HSC was maximal and significantly above that measured at 35nM suggesting a preferential impact of CoREST1 degradation on the more primitive cell compartment along with improvement in graft quality. CITE-Seq experiments confirmed the preferential expansion of primitive HSPC including HSCs and LMPPs with a reduction of more mature cellular subsets when cells were exposed to 125nM of UM171 in comparison to 35nM. The in vivo functionality of the 7-day expanded grafts (35nM vs 125nM UM171) were compared by transplanting the outcome of 100 Day 0 CD34+ CB cells in NSG-SGM3 (NOD-scid IL2Rgnull-3/GM/SF) mice, a cell dose representing less than 1 competitive repopulation unit (CRU) of unexpanded cells in this model. Using this low cell dose (limit dilution), we observed that the 125nM expanded graft provided 10-times greater engraftment than observed in mice transplanted with cells exposed to 35nM UM171 with values reaching a median of 5±5% vs. 0.4±0.13%(n=10 mice per condition, p=0.01; Mann Whitney test) of human engraftment at 12 weeks post-transplantation, respectively. Conclusion: Maximal stimulation of CUL3-KBTBD4 by higher concentration of UM171 leads to much better expansion of functional human HSC and opens new avenues for optimal expansion of very small cord blood units and possibly adult bone marrow-derived HSCs which require more than minimal manipulation (e.g., gene therapy). We believe this new data represents a novel milestone in HSC expansion with obvious subsequent clinical benefits.

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 score0.008

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.275
Teacher spread0.257 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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