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GATA1s Induces Hyperproliferation of Eosinophil Precursors.

2012· article· en· W2579581480 on OpenAlexaff
Aliaksandra Maroz, Katarina Reinhardt, Johann Hitzler, Irene Roberts, Christian Hennig, Gesine Hansen, Dirk Reinhardt, Jan‐Henning Klusmann

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsGATA1Progenitor cellHaematopoiesisMyeloidCancer researchEosinophiliaBiologyGene knockdownMyeloid leukemiaCellular differentiationImmunologyMolecular biologyStem cellCell cultureCell biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Abstract 2318 Transient leukemia (TL) is evident in 5–10% of all neonates with Down syndrome (DS) and closely linked to characteristic N-terminal truncating GATA1-mutations (GATA1s). Here we investigated the relationship between GATA1s-mutation and clonal eosinophilia observed in a cohort of TL patients (23%, n=60 DS neonates diagnosed with TL). TL-blasts exhibited an activated eosinophilic genetic program (as demonstrated by GSEA and validated by qRT-PCR) and had an increased propensity to differentiate along the eosinophilic lineage in vitro. Sorted patient TL-eosinophils carried the same mutation in GATA1 as the TL-blasts showing their clonal origin. To delineate the role of GATA1s in the TL-associated eosinophilia, we examined the myeloid differentiation of human fetal hematopoietic progenitors ectopically expressing GATA1 or GATA1s. We used a modified lentiviral LeGO-iG vector simultaneously expressing murine Gata1s or full-length Gata1 and an shRNA against endogenous GATA1 (65% knockdown efficiency, p<0.05), ensuring the investigation of the net effect of GATA1s in cells with low endogenous GATA1 expression. Ectopic expression of Gata1s in human CD34+ fetal hematopoietic stem and progenitor cells (HSPCs) induced 10-fold higher (p<0.01) proliferation rate of granulated progenitor cells in the myeloid in vitro differentiation medium accompanied by a monocytic differentiation block and reduction of neutrophils. In methylcellulose colony-forming assays, we observed formation of atypical colonies (29% of all CFUs), consisting of hyperproliferative myeloid progenitors with eosinophilic and basophilic granulation. These cells predominated in replating experiments, leading to a 15-fold higher cumulative number of CFUs after the fourth round of replating for Gata1s-transduced cells compared to the empty vector-transduced cells (p<0.001). To elucidate the lineage nature of these myeloid progenitors, we used high throughput chip cytometry that allowed us to study expression of 20 surface and intracellular markers of the cells from a picked Gata1s-colony. We observed high expression of the early myeloid marker CD13 and of IL-3 receptor (CD123). In conjunction with histochemical stainings chip cytometry allowed us to exclude monocytic, erythroid, lymphoid and basophilic/mast cell origin of these cells as all markers for these lineages were low or absent. Global gene expression profiling using microarray technology of Gata1s-, Gata1- and empty vector-transduced HSPCs, grown for four days in the myeloid differentiation medium and of empty vector transduced cells, before we transferred them into the myeloid differentiation medium demonstrated enrichment (GSEA) of eosinophilic genes in Gata1- and Gata1s-transduced cells and downregulation of monocytic, neutrophil, basophil, mast cell and HSPC gene sets. Thus, global gene expression analyses, chip cytometry and histochemical methods identified Gata1s-transduced myeloid progenitors as atypical eosinophilic promyelocytes with abnormal pro-eosinophilic granulation. However, though GATA1s retained the function of GATA1 to promote differentiation of HSPCs along the eosinophil lineage while repressing the neutrophil/monocytic program, only Gata1s-transduced cells demonstrated a hyperproliferative phenotype. GSEA of known E2F-bound target genes and qRT-PCR validation demonstrated that, unlike Gata1, Gata1s was not able to repress a number of GATA1 target genes, such as MYC, and the pro-proliferative E2F transcription network perturbing the balance between differentiation and proliferation. This might result in the hyperproliferation of eosinophil precursors at the expense of the neutrophil/monocytic lineage. As E2F target genes were also upregulated in sorted TL-eosinophils (n=3), we propose the same molecular mechanism of GATA1s-induced clonal eosinophilia in TL. Disclosures: Hennig: European Patent Office: Patents & Royalties.

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 head0.027
GPT teacher head0.295
Teacher spread0.268 · 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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Citations0
Published2012
Admission routes1
Has abstractyes

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