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GATA1 mutations Outside the Blast Cell Population in Transient Leukemia of Down Syndrome

2011· article· en· W2571162532 on OpenAlexaff
Jian Chen, Agnieszka A. Wendorff, Yue Li, Johann Hitzler

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsGATA1HaematopoiesisBiologyPopulationMolecular biologyMyeloidclone (Java method)LeukemiaMyelopoiesisCD34Precursor cellMyeloid leukemiaImmunologyStem cellCellCell biologyGeneticsMedicine

Abstract

fetched live from OpenAlex

Abstract Abstract 2562 Background. Transient leukemia (TL), a disorder of fetal hematopoiesis, occurs in approximately 10% of infants with Down syndrome and in one fifth of cases is followed by the development of acute myeloid leukemia. The diagnosis of TL is based on the detection of a spontaneously resolving population of blasts in the peripheral blood of newborns with DS and, more recently, the detection of clone-specific somatic mutations of the hematopoietic transcription factor GATA1. The alternative terms for this condition, transient myeloproliferative disorder (TMD) and transient abnormal myelopoiesis (TAM), reflect the observation that the peripheral blood of affected infants frequently shows an expansion of immature granulocytic precursor cells at various stages of development as well as nucleated erythroid precursors in addition to a population of blast cells. We hypothesized that the immature myeloid precursor cells observed in TL arise from the same hematopoietic cell clone that is defined by the specific GATA1 mutation found in TL blasts. Methods. Cryopreserved mononuclear cells from peripheral blood samples of three male infants with TL of Down syndrome were stained at a density of 106 cells/100ul with the following antibodies: CD45-Alexa Flour 700, CD61-PE, CD11b-PE-Cy5, CD235a-PE-Cy7, CD3-APC, CD34-APC-Cy7, CD15-Pacific Blue. In addition, aliquots of these cell populations were fixed, permeabilized and stained with for intracellular myeloperoxidase (MPO-FITC). Fractions of cells corresponding to different hematopoietic lineages were prepared by fluorescence activated cell sorting (FACSAriaII, BD Biosciences, San Jose, CA) both as bulk populations and single cells (sorted into 96-well plates). Morphology of sorted cell populations was determined by Giemsa staining. Lineage-specific hematopoietic colonies were cultured from primary mononuclear cell samples in a standard CFC assay. DNA of sorted bulk and single cell populations as well as individual lineage-specific hematopoietic colonies was used to detect GATA1 mutations in exon 2 by PCR, restriction enzyme analysis or sequencing of PCR products, or nested PCR. The location of the GATA1 gene on the X chromosome and the use of samples derived from males meant that wild type GATA1 alleles were not derived from TL cells. Results. Primary TL blood samples could be fractionated in a blast cell (CD45+CD34+and/or CD61+), erythroid (CD45-CD235a+), immature myeloid (CD45+CD15+MPO+) and lymphoid (CD45+CD3+) cell population. Cell morphology was consistent with this sorting strategy. The cell fraction designed to enrich TL blasts in all cases showed the presence of cells harboring only the mutant GATA1 allele indicating a high degree of purity of the blast fraction. As expected, the lymphoid cell populations contained in the CD3+ fractions exclusively harbored wild type alleles. Similarly, both sorted erythroid cell populations and individual erythroid colonies (Bfu-E) derived from unsorted input cells harbored only wild type GATA1 alleles. In contrast, CD15+ and/or MPO+ myeloid cell fractions consistently showed the presence of both mutant and wild type GATA1 alleles. Quantification by single cell PCR is in progress. Conclusion. Somatic GATA1 mutations which result in the translation of a N-terminally truncated mutant protein (GATA1s), are pathognomonic for TL and myeloid leukemia of Down syndrome. Published data do not determine if the cell clone harboring GATA1 mutations in TL extends beyond the population of blast cells and megakaryocytic lineage. We confirmed the presence of GATA1 mutations in TL blasts and their expected absence from lymphoid cell populations. The absence of mutations from cells of erythroid lineage suggests that the altered GATA1 function induced by mutations found in TL is incompatible with erythroid differentiation. The detection of clone-specific GATA1 mutations in myeloid cells expressing MPO was unexpected and raises the possibility that either the progenitor cells giving rise to TL blasts or the blasts themselves retain myeloid lineage differentiation potential. The finding lends support to definitions of TL and myeloid leukemia in Down syndrome that are based on the specific mutational and cellular mechanism and transcend a megakaryoblastic blast phenotype. Disclosures: No relevant conflicts of interest to declare.

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: Observational · Consensus signal: none
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
Bibliometrics0.0010.000
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 head0.024
GPT teacher head0.257
Teacher spread0.233 · 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 designObservational
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
Published2011
Admission routes1
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