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Polycomb Group Ring Finger 5 (PCGF5) Is a Notch Transcriptional Target and Regulates Cell Size and Cell Cycle in Hematopoietic Progenitors.

2008· article· en· W2985747570 on OpenAlexaff
Chris Cochrane, Hind Medyouf, Andrew P. Weng

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsNotch signaling pathwayBiologyHES1Notch proteinsChromatinMolecular biologyCell biologyGeneGeneticsSignal transduction

Abstract

fetched live from OpenAlex

Abstract The highly conserved Notch gene is activated by mutation in more than half of human T cell acute lymphoblastic leukemia (T-ALL) cases. The Notch protein is a transmembrane receptor which, upon binding of its ligand, is cleaved in a series of proteolytic steps releasing the intracellular portion (ICN) to translocate to the nucleus where it acts as a transcriptional activator for target genes such as HES1, Deltex, preTalpha, and c-Myc. To better understand the mechanism by which Notch causes leukemogenesis, microarray gene expression profiling experiments where conducted on five human Notch signaling-dependent T-ALL cell lines which where either mock-treated or treated with a gamma-secretase inhibitor (GSI) to prevent the release of Notch from the membrane. The Polycomb Group gene PCGF5 was identified as one of the genes most strongly downregulated upon Notch inhibition. This regulation was subsequently confirmed by quantitative RT-PCR in both human and mouse leukemia cell lines. Our interest in this gene was encouraged by its homology to the well-known oncogene Bmi-1, which acts to modify chromatin and silence expression of several genes including the cyclin-dependent kinase inhibitors p16 and p19ARF within the CDKN2a locus. Interestingly, we found that inhibition of Notch signaling by GSI treatment in both human and mouse leukemia cells resulted in an increase of both p16 and p19ARF at the mRNA and protein levels. This suggested that Notch may be responsible for maintaining expression of a transcriptional repressor that suppresses p16 and p19ARF. We hypothesize that PCGF5 may be acting in a manner analogous to Bmi-1 in this cellular context and thus mediating p16/p19ARF repression. Studies to test this hypothesis are currently in progress. To further investigate the role of PCGF5 in hematopoiesis, mouse bone marrow progenitors were transduced with retrovirus to express PCGF5 constitutively and transplanted into lethally irradiated recipients. Our results show long term reconstitution by PCGF5-expressing cells with as yet no evidence of PCGF5-induced hematopoeitic malignancy in a small cohort up to 6 months post-transplant. However, we did observe cells expressing high levels of PCGF5 to be skewed toward myeloid lineages, while mid-level expressing cells develop efficiently into lymphocytes. We detected no defects in B cell maturation; however, PCGF5-expressing T cell numbers were significantly lower than controls in the peripheral blood and spleen of recipient animals. Consistent with this observation, fetal thymic organ culture of PCGF5-transduced fetal liver hematopoietic progenitors showed accumulation in the early double negative thymocyte stages. Additionally, we found PCGF5-expressing B and T lymphocytes to be larger than control cells, and preliminary data suggests these cells may be arrested in G2/M phase of the cell cycle. Biochemical studies are also in progress to assess participation of PCGF5 in the Polycomb Repressive Complex PRC-1 and its effect on chromatin structure. In sum, these preliminary data suggest enforced PCGF5 expression, though not oncogenic, alters normal lymphoid/myeloid fate selection by hematopoietic progenitors and may affect lymphoid cell size by altering cell cycle progression.

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 score0.004

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)0.0010.000

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 head0.004
GPT teacher head0.185
Teacher spread0.181 · 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
Published2008
Admission routes1
Has abstractyes

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