MétaCan
Menu
← Back to cohort
Record W2885605091 · doi:10.1158/1538-7445.am2018-303

Abstract 303: Novel role of nuclear BH3-only protein BNIP3 in regulation of cellular proliferation

2018· article· en· W2885605091 on OpenAlexaff
Amandeep Singh, Meghan B. Azad, Spencer B. Gibson

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCytoplasmCell biologyNucleusApoptosisProgrammed cell deathEmbryonic stem cellCell growthBiologyWild typeHEK 293 cellsCell nucleusCell cultureMutantGeneGenetics

Abstract

fetched live from OpenAlex

Abstract The objective of this study is to investigate the role of Bcl-2 nineteen kilodalton interacting protein 3 (BNIP3) in regulating cellular proliferation and identifying the proliferation pathways mediated by BNIP3. BNIP3 is a BH3-only proapoptotic member of Bcl-2 family of cell death regulating proteins. The function of BNIP3 is dependent on its localization and expression levels. Under normal conditions, low levels of BNIP3 are present in the nucleus of cells. Low oxygen or hypoxic conditions lead to increased expression of BNIP3, and high levels of BNIP3 are found in the cytoplasm. Cytoplasmic BNIP3 is associated with caspase-independent apoptotic cell death through mitochondria. If, however, BNIP3 levels are increased in the nucleus, it promotes survival of cells by transcriptionally inhibiting several apoptosis-inducing factors. High levels of BNIP3 in nucleus are seen in majority of glioblastoma tumors, where hypoxic environment of tumor core causes an increase in expression of BNIP3 but high amounts of BNIP3 localize to the nucleus, possibly aiding in the survival of the tumor cells. In this study, we found that BNIP3 knockout mice brains have increased cellularity compared to wild-type brains. We also found that both mouse primary astrocytes and embryonic fibroblasts (MEFs) lacking BNIP3 expression have an increased capacity for proliferation compared to wild-type MEFs. Overexpressing BNIP3 in the nucleus of HEK 293 cells also resulted in reduced proliferation. In contrast, both astrocytes and MEFs lacking BNIP3 failed to show differences in cell death compared to wild-type cells. This reveals a novel function for BNIP3 in regulating cellular proliferation that may lead to new targets for cancer therapy. In future studies, we will identity genes regulated by nuclear BNIP3 that may lead to suppression of cellular proliferation in cancer cells. Citation Format: Amandeep Singh, Meghan Azad, Spencer Gibson. Novel role of nuclear BH3-only protein BNIP3 in regulation of cellular proliferation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 303.

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 score0.003
Threshold uncertainty score0.012

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)0.0030.001

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 head0.038
GPT teacher head0.337
Teacher spread0.299 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueCancer Research→Same topicMitochondrial Function and Pathology→French-language works237,207→