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Record W6995802437

Physical interation of parathyroid hormone-related protein with the epigenetic regulator Bmi1

2011· dissertation· en· W6995802437 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typedissertation
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsnot available
FundersMcGill University
KeywordsPsychological repressionBMI1RepressorEpigeneticsRegulatorChromatinRegulation of gene expressionIn vivoPhenotype
DOInot available

Abstract

fetched live from OpenAlex

As a cause of malignancy-induced hypercalcemia, PTHrP (parathyroid hormone-related protein) plays an important role in cell growth and differentiation. This peptide is unique in that it not only acts through membrane receptors but also translocates directly to the nucleus. Studies have shown that the repression of target gene expression is achieved through chromatin modifications induced by the PcG complex. As a core protein of the PcG complex, Bmi1 functions as a transcriptional repressor for various genes involved in development and cell proliferation. Recent studies have indicated that the skeletal phenotypes of PTHrP(1-84) knock-in mice are consistent with ones observed in Bmi1-/- mice in vivo. In addition, the down-regulation of Bmi1 expression was detected in PTHrP(1-84) knock-in mice. Both phenotypes indicate that there is correlation between Bmi1 and PTHrP. However, the molecular mechanism involved in correlation of PTHrP and Bmi1 regulation is poorly understood. The aim of this study was to gain insight into the underlying molecular mechanism of the way of PTHrP regulating Bmi1. We focused on the interaction between PTHrP and Bmi1 in vitro and in vivo system and the consequences exerted by this interaction. At first, co-localization of PTHrP and Bmi1 was demonstrated and the N-terminus of PTHrP was found to be responsible for the interaction both in vivo and in vitro. Second, we set up the repression assays in vivo to identify the promoters' activities and cell survival influenced by this direct interaction. As a result, overexpression of PTHrP and Bmi1 in HEK293 cells was shown to have an effect on p19Arf and Gal4 promoter activities in vivo. Thirdly, increased cell proliferation was detected in HEK293 cells and NIH 3T3 cells with overexpressed PTHrP and Bmi1 together. At the same time, I also discovered the elevation of cell survival rate in HEK293 and NIH 3T3 cells when PTHrP and Mel18 were expressed together. This study provides evidence that the hormone PTHrP physically and functionally interacts with Bmi1 and Mel18 to affect the activities of promoters in the nucleus and regulate cell proliferation.

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.252
Teacher spread0.238 · 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
Published2011
Admission routes1
Has abstractyes

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