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Record W2556482722 · doi:10.1182/blood.v122.21.428.428

The Erythropoietin Receptor Regulates The Number Of Cell Divisions and The Duration Of Erythroblast Terminal Differentiation By Regulating Erythroblast Iron

2013· article· en· W2556482722 on OpenAlexaff
Daniel Hidalgo, Ramona Pop, Prem Ponka, Merav Socolovsky

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsErythropoietin receptorErythroblastBiologyErythropoiesisCell biologyErythropoietinProgenitor cellTransferrin receptorMolecular biologyReceptorStem cellSignal transductionGeneticsInternal medicineHaematopoiesisMedicine

Abstract

fetched live from OpenAlex

Abstract Signaling by the erythropoietin receptor (EpoR) is essential for the survival of definitive colony-forming unit-erythroid (CFU-e) progenitors and their erythroblast progeny. Here we used EpoR-null embryos to ask whether EpoR signaling might also exert essential non-survival functions in erythropoiesis. To address this, we rescued EpoR-null fetal liver cells from death by transducing them in vitro with either the anti-apoptotic protein Bcl-xL, or, as control, with the wild-type EpoR. The Bcl-xL-transduced EpoR-null cells survived, expressed hemoglobin and underwent morphological erythroid maturation and enucleation. However, unlike exogenous EpoR, exogenous Bcl-xL was unable to support the formation of EpoR-null CFU-e colonies in methylcellulose. The absence of colonies was explained by the finding that the Bcl-xL-transduced progenitors underwent fewer cell divisions than equivalent EpoR-transduced cells (1.1 vs. 2.9 in 24 hr, respectively) and had a slower rate of intra-S phase DNA synthesis, suggesting longer S phase duration. Multispectral imaging showed that the Bcl-xL-transduced cells matured prematurely, attaining smaller cell and nuclear size and a lower nuclear/cytoplasmic ratio at earlier time points than EpoR-transduced cells. Premature maturation was also evident by flow cytometric analysis. Thus, EpoR-null fetal liver cells in vivo arrest in their differentiation at the transition from subset S0 (Ter119-neg CD71-low) to S1 (Ter119-neg CD71-high) (Pop et al, PLoS Biology 2010). Rescue with EpoR in vitro allows EpoR-null progenitors to resume differentiation, sequentially upregulating CD71 and Ter119. By contrast, rescue of EpoR-null cells with Bcl-xL results in their premature upregulation of Ter119 and failure to upregulate CD71 to high levels. The cell cycle and differentiation deficits in Bcl-xL-supported, EpoR-null erythropoiesis were associated with a slower loss of DNA methylation from the erythroid genome, and with slower erythroid gene transcription. CD71 (the transferrin receptor) is a known target of EpoR and Stat5 signaling. We asked whether the deficits of EpoR-null erythropoiesis might be the result of low cell surface CD71 and the consequent reduced iron transport. In support of this hypothesis, we found that EpoR-null fetal liver cells that are transduced with both CD71 and Bcl-xL resume the normal maturation rate characteristic of EpoR-supported differentiation, as judged by multispectral imaging measurements of cell size and nuclear/cytoplasmic ratio. Further, we were able to restore rapid S phase to Bcl-xL-transduced EpoR-/- erythroblasts by culturing them in the presence of the cell-permeant iron chelator Fe-SIH (salicylaldehyde isonicotinoyl hydrazone), which is able to supply the cell interior with iron even in the absence of CD71 (Figure 1). We suggest that EpoR-mediated upregulation of CD71 at the onset of erythroid terminal differentiation determines the number and duration of erythroblast cell divisions by regulating iron homeostasis. 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 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 score0.480
Threshold uncertainty score0.389

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 studies0.0000.001
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 head0.005
GPT teacher head0.217
Teacher spread0.212 · 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
Published2013
Admission routes1
Has abstractyes

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