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Record W3097954755 · doi:10.1182/blood-2020-137215

CRISPR Mediated <i>ELANE</i> Single-Allele Knock-out Restores Proliferation and Myeloid Differentiation of Neutropenia Patient Derived BM HSCs

2020· article· en· W3097954755 on OpenAlexaboutno aff
Peter J. Sabo, Vahagn Makaryan, Tanoya Poulsen, Lital Povodovski, Yosef Dicken, Asael Herman, Rafi Emmanuel, David C. Dale

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyMyeloidPopulationGeneticsAlleleCancer researchMedicineGene

Abstract

fetched live from OpenAlex

Background: Mutations in ELANE are a cause of cyclic and severe congenital neutropenia (SCN), predominantly autosomal dominant disorders. ELANE encodes neutrophil elastase (NE), a tissue specific serine protease. Neutropenia occurs because mutant NE impairs survival and maturation of myeloid cells. More than 130 disease causing mutations in ELANE have been identified and cell permeable inhibitors of NE can correct the defect in cell survival and maturation in cellular models. (Makaryan et al. J Leukoc Biol. 2017;102:1143). CRISPR/Cas9 knock-out (KO) of ELANE in patients' hematopoietic stem cells (HSCs) corrects myeloid cell differentiation, (Nasri et al Haematologica 2020:105:598), but this approach targets both alleles, eliminates normal NE and may impair innate immunity. Hypothesis: Selective, single allele editing is a preferred strategy for correcting ELANE associated neutropenia and other autosomal dominant disorders. Methods: Emendo Biotherapeutics developed CRISPR-associated allele specific KO based on single nucleotide polymorphisms (SNPs) located in the vicinity of ELANE. Three SNPs cover ~80% of the population. In the current study, editing of the mutated allele was achieved by targeting SNP rs1683564 located downstream to the 3'UTR of ELANE and mediating a biallelic break in intron 4, with excision of the 3'UTR, destabilized the mutated allele transcript. For editing we utilized RNPs assembled from Emendo's proprietary nuclease, OMNI-50, a guide targeting the SNP and a guide targeting a region in intron 4. OMNI-50 has low off-target activity and high allele specific editing when targeting either the reference or the alternative form of the SNPs. The efficacy of this composition was tested on normal and SCN patient-derived HSCs harboring the relevant SNP. (Figure 1) A patient's bone marrow CD34+ cells with the S126L mutation and rs1683564 were enriched using RosetteSep™ Progenitor Cell Enrichment Cocktail (Stemcell Technologies), purified by density gradient centrifugation using Lymphoprep (Stemcell Technologies). The purified CD34+ cells were expanded 4 days in StemSpan™ SFEM II media, supplemented with StemSpan™ CD34+ Expansion Supplement. Expanded CD34+ cells were further purified using StemSep™ Human CD34 Positive Cocktail and purity verified by FACS analysis using CD34 and CD45 antibodies. Purified CD34+ cells were cryopreserved using serum free CryoStor® CS10 media (Stemcell Technologies) and stored in Liquid Nitrogen Vapor Phase. Normal human blood CD34+ progenitor cells, harboring rs1683564 were similarly treated as the control. Allele specific excision was determined by ddPCR. To determine excision efficiency for the patient and control, we amplified two regions in ELANE, Exon 1 and Exon 5 (excised region), using two different probes labeled with FAM and HEX, respectively. We used OMNI-50 nuclease (Emendo Bio, Ness Ziona, Israel), electroporation (Lonza 4D nucleofector) and StemCell media (Stemcell Technologies, Vancouver, BC) to modify, grow and differentiate the CD34+ cells. We assessed myeloid cell proliferation and differentiation using daily cell counts, cytospins stained with Diff-Quik, and CD14, CD66b, CD15, CD16, CD11b labeling and flow cytometry. Results: Unedited patient cells demonstrated significant abnormalities in proliferation and differentiation. Cytospins from unedited patient CD34+ cells at 14 days showed block of myeloid differentiation and 4-fold greater monocytes compared to control, consistent with the hematopoietic defect in SCN patients. Single allele ELANE KO significantly improved these cellular abnormalities: total cell proliferation increased 41% and CD14/CD66b and CD15/CD11b positive cells increased by 107% and 65.5%, respectively. Studies are in progress for additional patients harboring different ELANE mutations. Conclusions: Single allele KO may resolve concerns about unwanted effects of total elimination of the normal gene products with gene editing for autosomal dominant diseases and be an effective strategy for treating ELANE associate neutropenia. Disclosures Sabo: Emendo BioTherapeutics: Research Funding. Makaryan:Emendo BioTherapeutics: Research Funding. Poulsen:Emendo BioTherapeutics: Research Funding. Povodovski:Emendo BioTherapeutics: Current Employment, Current equity holder in private company. Dicken:Emendo BioTherapeutics: Current Employment, Current equity holder in private company. Herman:Emendo BioTherapeutics: Current Employment, Current equity holder in private company. Emmanuel:Emendo BioTherapeutics: Current Employment, Current equity holder in private company. Dale:X4 Pharmaceuticals: Research Funding; Emendo BioTherapeutics: Consultancy; X4 Pharmaceuticals: Honoraria.

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 score0.003
Threshold uncertainty score0.012

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)0.0030.001

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 head0.011
GPT teacher head0.202
Teacher spread0.191 · 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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Citations2
Published2020
Admission routes1
Has abstractyes

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