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Role of nuclear factor‐κB (NF‐κB) in the regulation of pro‐inflammatory IκB‐kinase‐ε (IKKε) gene expression in human pulmonary epithelial cells

2021· article· en· W3172804766 on OpenAlexaff
Amandah Necker‐Brown, Andrew Thorne, Akanksha Bansal, Mahmoud Mostafa, Anthony N. Gerber, Robert Newton

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNF-κB Signaling Pathways
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIκB kinaseA549 cellTranscription factorChromatin immunoprecipitationNF-κBTumor necrosis factor alphaBiologyKinaseIκBαRespiratory epitheliumCancer researchGene expressionNFKB1Cell biologyMolecular biologyImmunologySignal transductionPromoterCell cultureGeneEpitheliumGenetics

Abstract

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Rationale Clinically, mild‐to‐moderate asthma is well‐controlled by inhaled glucocorticoids. However, severe asthma is poorly controlled by this key pharmacological intervention. Understanding which pro‐inflammatory genes and signalling pathways avoid repression by glucocorticoids represents an important step towards improving current pharmacological interventions. IκB‐kinase‐ε (IKKε) was shown to escape full repression by glucocorticoids in airway epithelial cells, the primary site of action for glucocorticoid therapies in asthma. IKKε is also highly homologous to the canonical IκB kinases known to activate a family of pro‐inflammatory transcription factors: nuclear factor‐κB (NF‐κB). However, the role and regulation of IKKε is largely uncharacterized. This study aimed to elucidate the regulation of IKKε gene expression by NF‐κB in airway epithelial cells. Methods Human pulmonary epithelial A549 or bronchial airway epithelial BEAS‐2B cells were used to model gene expression in airway epithelial cells. Cells were treated with cytokines interleukin‐1β (IL1B, 1 ng/ml), tumour necrosis factor‐α (TNF, 10 ng/ml), and/or glucocorticoid (dexamethasone, 1µM). Western blotting, qPCR, and RNA‐sequencing were performed to characterize protein and mRNA expression of IKKε. Cells harbouring an NF‐κB driven luciferase reporter construct were used to assess overall NF‐κB activity. Chromatin immunoprecipitation (ChIP) sequencing data from BEAS‐2B cells was used to explore binding of NF‐κB subunit RelA/p65 to DNA using the UCSC genome browser. Results In A549 cells, IKKε protein was upregulated by both and IL1B and TNF with highest expression observed at 24h post stimulus. This peak expression was significantly, albeit partially, repressed by the glucocorticoid, dexamethasone. IKKε mRNA expression peaked at 6h, with partial repression by dexamethasone observed at 24h. ChIP‐seq data from BEAS‐2B cells treated with TNF showed p65 binding to the promoter region of IKKε. This suggests regulation of IKKε expression by NF‐κB. In A549 cells, silencing of p65 decreased the ability of IL1B to induce NF‐κB reporter activity and also reduced IL1B‐induced expression of IKKε. Likewise, adenoviral‐mediated overexpression of IκBαΔN, a dominant inhibitor of NF‐κB, markedly reduced IKKε mRNA expression that was induced by IL1B. Conclusions These data suggest that induction of IKKε expression by IL1B or TNF is dependent on NF‐κB activity in pulmonary epithelial cells. This supports the conclusion that early onset NF‐κB activity leads to the expression of inflammatory genes, such as IKKε, to activate later onset signal transduction cascades to prolong inflammatory gene expression in response to a given stimuli. As IKKε induction was only partially repressed by glucocorticoid, the induction of downstream effector processes may also be largely resistant to the repressive effects of glucocorticoid. These findings represent an important step in characterizing the role of IKKε in inflammatory signalling cascades and paves the way for interventions in severe asthma therapy that may be more able to repress the activity of this pro‐inflammatory pathway.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.012
GPT teacher head0.224
Teacher spread0.213 · 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 teacher head, 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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