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Record W2592373261 · doi:10.1182/blood.v104.11.370.370

p120E4F-1: A Novel Candidate Factor for Mediating Bmi-1 Function in Hematopoietic Stem Cells.

2004· article· en· W2592373261 on OpenAlexaff
Jalila Chagraoui, Sherry L. Niessen, Julie Lessard, Simon Girard, Phillippe Coulombe, Sylvain Meloche, Guy Sauvageau

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsBiologyStem cellHaematopoiesisCell growthCell biologySmall interfering RNABMI1Cell cultureGene knockdownEndogenyImmunoprecipitationMolecular biologyTransfectionGeneticsEndocrinology

Abstract

fetched live from OpenAlex

Abstract We have recently demonstrated that the Polycomb group (Pc-G) gene bmi-1 is essential for the self-renewal/proliferation of both normal and leukemic hematopoietic stem cells (HSCs). Interestingly, none of the gene products with which Bmi-1 interacts are expressed in this cellular compartment. Therefore, it has been postulated that the proliferative function of Bmi-1 in HSCs is mediated through its interaction with non-identified partners. A yeast two-hybrid assay, using Bmi-1 as bait to screen a fetal liver cDNA library, led to the isolation of p120E4F-1, previously identified as a negative regulator of cell proliferation. Mutational analysis showed that this interaction occurs through the HTH motif of Bmi-1, shown to be essential for its ability to extend the replicative lifespan of fibroblasts. The interaction between endogenous Bmi-1 and p120E4F-1 has been confirmed in mammalian cells by co-immunoprecipitation experiments. Curiously, Bmi-1 and p120E4F-1 interact specifically in the cytoplasmic compartment. In addition, increasing the protein levels of Bmi-1 leads to a reduction in p120E4F-1 protein levels, without affecting cellular localization or mRNA levels. Using overexpression and small interfering RNA (siRNA) -mediated knock-down experiments, we show that the overexpression of Bmi-1 into NIH3T3 cells enhances cell growth, whereas reduction of endogenous Bmi-1 results in significant growth suppression. Conversely, overexpression of p120E4F-1 led to an inhibition of cell proliferation, whereas reduction of p120E4F-1 level led to an hyperproliferation. Complementation studies also demonstrates that the proliferative defect induced by the overexpression of p120E4F-1 can be partially rescued by overexpression of Bmi-1 and that the proliferative defect induced by Bmi-1 knock-down is suppressed by the reduction of p120E4F-1 protein level. Moreover, we show that both the HTH and the RING1 domain of Bmi-1 are necessary to abrogate the anti-proliferative effect of p120E4F-1. Taken together, these data demonstrate that Bmi-1 and p120E4F-1 interact physically and genetically and suggest that Bmi-1 down regulates p120E4F-1 through a post transcriptional mechanism. As Bmi-1 is a RING finger domain containing protein, we postulate that it might be acting as an E3 ubiquitin ligase on p120E4F-1. To investigate this possibility we used the ts20 mutant cell line expressing a thermolabile ubiquitin-activating enzyme (E1) that is inactivated at elevated temperature, preventing ubiquitination and subsequent degradation. We found that endogenous p120E4F-1 accumulates markedly when cells are shifted to the restrictive temperature. Moreover, introduction of Bmi-1 specific siRNA prevents accumulation p120E4F-1 at the nonpermissive temperature, suggesting that p120E4F-1 is subject to ubiquitination and that Bmi-1 is required for its degradation. Altogether our data reveal an unsuspected cytoplasmic function for Bmi-1 in the regulation of cell cycle progression through its interaction with p120E4F-1.

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)0.0010.000
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 head0.014
GPT teacher head0.236
Teacher spread0.223 · 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

Citations3
Published2004
Admission routes1
Has abstractyes

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