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Characterization of a Hierarchy of Proliferative Ability in AML: Identification of a Role for NR2F6 in the Maintenance of the Undifferentiated State.

2006· article· en· W2592151663 on OpenAlexaff
Christine V. Ichim, Harold Atkins, Norman N. Iscove, Richard A. Wells

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiologyTranscription factorCell cultureCell growthCancer researchGeneticsGene

Abstract

fetched live from OpenAlex

Abstract AML cells are heterogeneous in their capacity to proliferate and form colonies in vitro. Determination of the genes whose expression is necessary for clonogenicity has been hindered by the inability to isolate pure populations of AML cells with defined proliferative abilities. By analyzing the growth of clonal siblings we established that the hierarchical organization of AML can be resolved into distinct strata, permitting the use of clonal siblings as biological reporters of the transcriptional signature of single cells with defined proliferative abilities. We then analyzed low passage cultures of the cell line OCI-AML4. Clones consisting of four cells were micromanipulated so that a single cell was sampled for global RT-PCR while its three clonal siblings served as reporters of clonogenicity. By microarray analysis we found the orphan nuclear receptor NR2F6 to be expressed four-fold lower in leukaemia single cells that spontaneously lose proliferative ability, compared to single cells with greater proliferative capacity. NR2F6 is a poorly characterized member of the COUP transcription factor family. We observed that NR2F6 is overexpressed in AML, CMML and MDS relative to normal bone marrow (BM). We then assessed expression of NR2F6 in U937 leukaemia cells induced to differentiate with a variety of induction agents. All differentiation agents induced significant decreases in NR2F6 expression. To characterize the effect of forced expression of NR2F6 we transduced U937 cells with a retrovirus encoding either NR2F6 or EGFP. Forced expression of NR2F6 reduced the doubling time of these populations, and inhibited retinoic acid induction of U937 cell differentiation. NR2F6 overexpressing cells did not acquire expression of the maturation marker CD11b nor were capable of reducing nitroblue tetrazolium, indicating functional maturity. Assessment of DNA content and analysis of growth kinetics revealed that NR2F6 overexpressing cells did not undergo the proliferative arrest associated with terminally differentiating U937 cells. We then investigated the role of NR2F6 in normal haematopoiesis in the C57/BL6 and Balb/c strains of mice. In both strains we observed that overexpression of NR2F6 resulted in a significant reduction in BFU-E and CFU-GM colony numbers, and colony size. These data are consistent with the notion that NR2F6 inhibits maturation of normal BM. More specifically, analysis of the immunophenotype of BM cultured in suspension for 10 days showed that NR2F6 overexpression resulted in a significant reduction in monocytes, and an increase in mast cells. An excess of mast cells was also observed in cytospin preparations of CFU-GM colonies. Additionally, we have demonstrated that overexpression of NR2F6 augments the in vitro self-renewal ability of BM, using serial replating of semi-solid cultures. Competitive BM transplantation experiments were employed to confirm the role of NR2F6 on stem cell self-renewal and differentiation in vivo. While these investigations are in progress, progenitor assays and analysis of serial-replating in all animals examined have recapitulate our ex vivo observations. Overall, these data establish the importance of NR2F6 in the regulation of normal and leukaemic haematopoietic cell self-renewal and differentiation. Furthermore, our results establish that analysis of clonal siblings allows the elucidation of differences in gene expression within the AML hierarchy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.150
Threshold uncertainty score0.136

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.004
GPT teacher head0.213
Teacher spread0.209 · 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 teacher head, 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
Published2006
Admission routes1
Has abstractyes

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