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NF‐κB Promotes Alternative Splicing of Bnip3 During the Cellular Adaptation to Hypoxia

2017· article· en· W4389020464 on OpenAlexaff
Jared T. Field, Matthew D. Martens, Wajihah Mughal, Simone C. da Silva Rosa, Joseph W. Gordon, William Diehl‐Jones

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsAthabasca UniversityUniversity of Manitoba
Fundersnot available
KeywordsCell biologyProgrammed cell deathCalcium in biologyBiologySignal transductionEndoplasmic reticulumViability assayCalcium signalingMitochondrionCellIntracellularApoptosisBiochemistry

Abstract

fetched live from OpenAlex

Bnip3 is a hypoxia‐regulated gene that has been reported to promote either cell death or cell survival depending on the cellular context. The transcription factor NF‐κB has been previously shown to repress Bnip3 expression to promote cell survival. However, more recent data suggests Bnip3 is subjected to alternative splicing to produce pro‐death and pro‐survival isoforms, suggesting a molecular mechanism for regulating the balance between death and survival in hypoxic cells. Mitochondrial matrix calcium accumulation has been implicated in regulated necrotic cell death, while nuclear calcium signaling has been implicated in transcriptional activation, cellular adaptation, and hypertrophy. We hypothesize that alternative Bnip3 splice variants prevent cell death through calcium‐mediated signaling between the mitochondria and nucleus. Treatment of the human cell line (HCT‐116) with the pro‐survival prostaglandin receptor agonist, misoprostol, resulted in NF‐κB nuclear accumulation concurrent with reduced expression of full length Bnip3 (Bnip3FL) and increased expression of a Bnip3 splice variant lacking the third exon (Bnip3ΔExon3). To dissect these pathways, we overexpressing Bnip3FL and/or Bnip3ΔExon3, and measured the effects on cell viability, mitochondrial function, calcium signaling, and intracellular localization of select pro‐survival transcriptional regulators. Bnip3FL caused an 8‐fold increase in cell death, an effect rescued by expression of Bnip3ΔExon3. Using genetically‐encoded calcium biosensors targeted to either the endoplasmic reticulum (ER), mitochondria, or to the nucleus, we demonstrate that Bnip3ΔExon3 differentially regulates intracellular calcium signaling. Both Bnip3FL and Bnip3ΔExon3 induced calcium release from the ER, which was inhibited by pharmacological blockade of the inositol triphosphate (IP‐3) calcium channel. However, Bnip3FL preferentially induced mitochondrial calcium uptake, which was inhibited by Bnip3ΔExon3. Importantly, Bnip3ΔExon3 preferentially directed calcium to accumulate in the nucleus. Our data also demonstrates that Bnip3ΔExon3 preserved mitochondrial function by preventing Bnip3FL‐induced mitochondrial depolarization and by promoting closure of the permeability transition pore. Finally, we investigated whether Bnip3ΔExon3 could alter down‐stream calcium‐activated transcriptional regulators. Using fluorescent‐tagged proteins we observed nuclear accumulation of the transcription factor NFATc3 (nuclear factor of activated T‐cells) and nuclear export of the histone deacetlyase 5 (HDAC5), when co‐expressed with Bnip3ΔExon3. These findings indicate that Bnip3ΔExon3 may prevent cell death by promoting calcium‐dependent signaling pathways that converge on the nucleus, and provide a novel mechanism that may serve to protect cells from hypoxic injury.

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 score0.001
Threshold uncertainty score0.003

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 head0.022
GPT teacher head0.256
Teacher spread0.234 · 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
Published2017
Admission routes1
Has abstractyes

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