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Record W4393092956 · doi:10.1158/1538-7445.am2024-1381

Abstract 1381: Characterization of the 12-lipoxygenase expression in the megakaryoblastic cell line, Dami

2024· article· en· W4393092956 on OpenAlexaff
Luc H. Boudreau, Vanessa L. Gauvin, Jaël D Richard, Marie‐France N Soucy, Mathieu P.A. Hébert, Éric P. Allain

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsHorizon Health NetworkUniversité de Moncton
Fundersnot available
KeywordsLipoxygenaseCell cultureMedicineChemistryBiologyEnzymeBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract Megakaryocytes are myeloid cells produced primarily in the bone marrow and are best known for releasing platelets in the blood stream. In the platelet production process, megakaryocytes transfer their bioactive content, including the 12-lipoxygenase (12-LO) enzyme, into newly formed platelets. The 12-LO has been shown to be implicated in platelet activation and is overexpressed in several chronic inflammatory conditions, including several types of cancers. The 12-LO is responsible for the conversion of the arachidonic acid into the 12(S)-hydroxyeicosatetraenoic acid (12(S)-HETE), a key lipid mediator implicated in several steps of the metastatic cascade. While 12-LO is expressed in mature human megakaryocytes, we recently identified two megakaryoblast cell lines isolated from leukemia patients lacking 12-LO expression. However, only one of the two cell lines expresses functional 12-LO protein upon megakaryocyte maturation. The goal of this study is to characterize the 12-LO expression during the megakaryocyte maturation process. We hypothesize that 12-LO expression is increased during cell maturation and that inhibition of the 12-LO expression will result in dysfunctional platelets. Both the Dami cell and MEG-01 cells were induced with the co-incubation of both phorbol myristate acetate and eltrombopag, a thrombopoietin receptor agonist. The maturation and viability of the cells were confirmed by flow cytometry. Expression of the 12-LO was assessed by RT-qPCR and immunoblot. Quantification of the 12(S)-HETE was performed by reversed-phase high performance liquid chromatography. Platelet release was quantified by flow cytometry using CD41 fluorescent labelled antibodies. We observed a 3-fold increase in 12-LO protein expression following cell maturation in the Dami cell line. Interestingly, mRNA expression between the undifferentiated Dami cells and mature Dami cells remained unchanged. Furthermore, we did not detect any 12-LO protein expression in the MEG-01 after the cell’s maturation. Finally, we identified a specific 12-LO antisens non-coding RNA that is implicated in the regulation of the protein expression in megakaryocytes. Our study reports the first mechanistic regulation of 12-LO expression implicated in the megakaryocyte maturation process. Since both platelets and platelet-specific 12-LO play an important role in cancer biology, it is important to better understand how megakaryocytes package the enzyme inside these small cells. It remains elusive whether 12-LO enrichment in platelet correlates with the disease severity. Citation Format: Luc H. Boudreau, Vanessa L. Gauvin, Jaël Richard, Marie-France N. Soucy, Mathieu P.A. Hébert, Eric P. Allain. Characterization of the 12-lipoxygenase expression in the megakaryoblastic cell line, Dami [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1381.

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 score0.006

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)0.0020.001

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 head0.045
GPT teacher head0.335
Teacher spread0.290 · 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
Published2024
Admission routes1
Has abstractyes

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