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Record W3085729177 · doi:10.1074/mcp.ra120.002316

A Novel Mechanism for NF-κB-activation via IκB-aggregation: Implications for Hepatic Mallory-Denk-Body Induced Inflammation

2020· article· en· W3085729177 on OpenAlexafffund
Yi Liu, Michael J. Trnka, Shenheng Guan, Doyoung Kwon, Do‐Hyung Kim, J.-J. Chen, Peter A. Greer, Alma L. Burlingame, Maria Almira Correia

Bibliographic record

VenueMolecular & Cellular Proteomics · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsQueen's University
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of General Medical SciencesDr. Miriam and Sheldon G. Adelson Medical Research FoundationUniversity of California, San FranciscoNational Institutes of HealthGovernment of CanadaCanadian Institutes of Health Research
KeywordsChemistryAggresomeIκBαCell biologyInflammationNuclear poreUbiquitinNucleophosminCathepsin BNF-κBBiochemistryCytoplasmBiologyEnzymeSignal transduction

Abstract

fetched live from OpenAlex

Mallory-Denk-bodies (MDBs) are hepatic inflammation-associated protein aggregates. Similar protein aggregation in neurodegenerative diseases also triggers inflammation and NF-kB-activation by an as yet uncharacterized non-canonical mechanism. Herein, employing an MDBinducing cell model, we uncovered a novel mechanism for NF-kB-activation via cytoplasmic IkBa-sequestration into insoluble aggregates. Additionally, through affinity pull-down, proximity labeling, and other proteomic approaches, we identified 10 proteins that interact with IkBa and form insoluble aggregates upon ZnPP-treatment. This novel mechanism would account for the protein aggregate-induced inflammation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.027
GPT teacher head0.248
Teacher spread0.221 · 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.

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

Citations28
Published2020
Admission routes2
Has abstractyes

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