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Record W2984893852 · doi:10.1182/blood-2019-131967

Studying the Role of ETV6 in Megakaryopoiesis and Thrombopoiesis Using a Novel CRISPR-Cas9 Halotag Genome Editing Strategy

2019· article· en· W2984893852 on OpenAlexaff
Marlie H. Fisher, Leila Noetzli, Michael U. Callaghan, Walter H.A. Kahr, Jesse W. Rowley, Jorge Di Paola

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsThrombopoiesisBiologyETV6MegakaryocyteThrombopoietinGeneticsPlatelet disorderCancer researchMutationCell biologyZebrafishMolecular biologyStem cellPlateletProgenitor cellGeneHaematopoiesisImmunologyChromosomal translocation

Abstract

fetched live from OpenAlex

Emerging data indicate that germline mutations in transcription factors involved in hematopoiesis can lead to a cascade of downstream molecular alterations that modify the function of megakaryocytes (MK) and platelets. Our group and others have found that mutations in ETV6 lead to mild thrombocytopenia with a bleeding diathesis, red cell macrocytosis, and predisposition to lymphoblastic leukemia. The mechanisms responsible for thrombocytopenia and propensity for bleeding in patients with ETV6 mutations are unknown. We described families with missense mutations in the central domain (p.Pro214Leu) and the ETS DNA binding domain (p.Arg418Gly) of ETV6 that result in aberrant cellular localization of ETV6, decreased transcriptional repression, and impaired MK maturation. Deep sequencing of the platelet transcriptome revealed significant differences in mRNA expression levels between patients with the ETV6 p.Pro214Leu mutation and non-affected family members, indicating that ETV6 is critically involved in defining the molecular phenotype and function of platelets. We hypothesize that normal regulation and function of ETV6 is essential for the transcriptional machinery that controls megakaryocyte differentiation and formation of platelets that function normally under homeostatic conditions. We have successfully generated a CRISPR-Cas9 model to edit the genome of ETV6-expressing iPSC derived megakaryocyte cell line (imMKCL) to characterize the role of wild-type ETV6 in megakaryocyte development and elucidate the molecular mechanism driving mutant ETV6 mislocalization, transcriptional dysregulation, and subsequent dysmegakaryopoiesis and thrombocytopenia. In this imMKCL model, we have genetically engineered the cells to express wild-type, P214L, and the DNA binding domain mutations R418G and R369Q ETV6 fused to HALOtag, a reporter protein that can react with ligands carrying a variety of functionalities, including fluorescent labels, affinity handles, and attachment to solid phase, making this novel reporter conducive to immunofluorescence imaging, biochemical pulldown, and ChIPSeq. This system allows us to express wild type and mutant forms of ETV6 in appropriate allele ratios in imMKCL cells and various hematopoietic-relevant cell lines. Using this approach, we detected nuclear localization of wild-type ETV6 and altered cytoplasmic localization of both P214L and R418G ETV6 mutants. We have also demonstrated dimerization between both wild-type and mutant ETV6 in this cell model. Importantly, we have used HALOtag protein immunoprecipitation to demonstrate ETV6 binding to FLI1, another ETS family member and key transcriptional regulator of megakaryocyte development, suggesting that ETV6 and FLI1 cooperate to regulate megakaryopoiesis under homeostatic conditions. Altogether, these data suggest that mutant ETV6 functions as a dominant negative, sequestering wild type ETV6 in the cytoplasm, de-regulating key transcriptional targets for homeostatic megakaryocyte development. Ongoing studies will define the full repertoire of protein interactions and transcriptional targets of wild-type and mutant ETV6. Discoveries from this novel tool will further advance our understanding of normal megakaryocyte and platelet biology, and will provide potential therapeutic targets for disorders of platelet number and function to optimize the clinical approach to these patients. Disclosures Callaghan: Bayer: Consultancy, Speakers Bureau; Alnylum: Equity Ownership; Biomarin, Bioverativ, Grifols, Kedrion, Pfizer, Roche/Genentech, Shire, and Spark Therapeutics: Consultancy; Takeda: Consultancy, Research Funding; Sanofi: Consultancy; Global Blood Therapeutics: Consultancy; Novonordisk: Consultancy, Speakers Bureau; Octapharma: Consultancy; Pfizer: Research Funding; Roche: Research Funding; Shire/Takeda: Speakers Bureau; Roche/Genentech: Speakers Bureau.

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 score0.005

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 integrity0.0010.001
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 head0.023
GPT teacher head0.262
Teacher spread0.239 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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