MétaCan
Menu
Back to cohort
Record W4405049854 · doi:10.1182/blood-2024-193438

UBE2E3 Supports Survival of Leukemia Stem Cells By Regulation of Polycomb Repression Complex (PRC) 1.1

2024· article· en· W4405049854 on OpenAlexaff
V. Miller, Ayat Hija, Mohamed Abdal-Rhaman, Noa Gross Even‐Zohar, Michal Saltsman, Aaron Botham, Arnon Haran, Shlomzion Aumann, Vladimir Vainstein, Moshe E. Gatt, Brian Raught, Aaron D. Schimmer, Boaz Nachmias

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsPsychological repressionPolycomb-group proteinsStem cellLeukemiaBMI1BiologyCancer researchHaematopoiesisRepressorCell biologyGeneticsGeneTranscription factorGene expression

Abstract

fetched live from OpenAlex

AML cells are arranged in a hierarchy with leukemia stem cells giving rise to a more differentiated bulk leukemia cells. The determinants that support stemness are still not completely understood. Recently, we identified importin 11 (IPO11), a nuclear transport receptor, as a regulator of stemness in AML. To identify cargo protein imported into the nucleus by IPO11, we conducted a BioID-mass spectrometry screen. Through this screen, we discovered that IPO11 interacts with the E2 ligase, UBE2E3 to regulate its nuclear localization. The importance of UBE2E3 in AML and its role in leukemia stemness is currently unknown. Therefore, we focused our investigation on UBE2E3. To understand the role of UBE2E3 in AML and leukemia stem cells, we knocked down UBE2E3 in AML cell lines. Silencing of UBE2E3 shifted the transcriptomic signature away from leukemia stem cells and hematopoietic stem cell progenitors toward a more differentiated and mature signature: LSC+ vs. LSC- (FDR ≤0.01, GSE76008) and progenitor/stem vs. myeloid cluster (FDR ≤ 0.01, TCGA-AML). Moreover, knockdown of UBE2E3 in OCI-AML2, NB4 and K562 AML cells reduced growth and viability of by 60-70%, as well as reduced clonogenic growth, consistent with an effect on leukemia initiating cells. To investigate how UBE2E3 regulates leukemic stemness, we performed a BioID mass spectrometry screen for proteins that interact with UBE2E3. Through this screen, we discovered that UBE2E3 interacted with poly-comb repression complex (PRC) proteins, including four core components of a variant of PRC-1, designated PRC1.1, KDM2B, BCOR, RING1 and PCGF1. The PRC mediates epigenetic transcriptional repression, governing key cellular processes, including proliferation and differentiation. Previous work has shown that PRC1.1 control specific genes required for leukemic cell viability. Knockdown of UBE2E3 decreased expression of known PRC 1.1 target genes specific for AML (FDR ≤0.01, GSE54580), such as PKM, MAP3K6 and ERCC1, demonstrating that UBE2E3 positively regulates PRC1.1 activity. In summary, we identified UBE2E3 as a novel regulator of non-canonical PRC 1.1 complex in AML and through that mechanism a positive regulator of leukemia stemness. Thus, we identified UBE2E3 as a possible novel target in AML.

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 score0.007

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)0.0020.001

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 head0.268
Teacher spread0.255 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicHistone Deacetylase Inhibitors ResearchFrench-language works237,207