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Record W2883771105 · doi:10.1101/373209

The IκB-Protein BCL-3 Controls MAPK Activity by Promoting TPL-2 Degradation in the Nucleus

2018· preprint· en· W2883771105 on OpenAlexaff
Patricia E. Collins, Domenico Somma, David Kerrigan, Felicity Herrington, Karen Keeshan, Robert J. B. Nibbs, Ruaidhrı́ J. Carmody

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2018
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNF-κB Signaling Pathways
Canadian institutionsInstitute of Infection and Immunity
FundersMedical Research CouncilBiotechnology and Biological Sciences Research CouncilDirectorate for Biological Sciences
KeywordsMAPK/ERK pathwayCell biologyInnate immune systemNucleusImmune systemInflammationUbiquitinRegulatorStimulationChemistryDownregulation and upregulationNF-κBBiologySignal transductionImmunologyNeuroscienceBiochemistryGene

Abstract

fetched live from OpenAlex

Abstract The ability of the innate immune system to distinguish between low level microbial presence and invasive pathogens is fundamental for immune homeostasis and immunity. However, the molecular mechanisms underlying threat discrimination by innate immune cells are not clearly defined. Here we describe the integration of the NF-ĸB and MAPK pathways in the nucleus by the IĸB protein BCL-3 and the MAP3K TPL-2. Our data reveals that TPL-2 is a nucleocytoplasmic shuttling protein and demonstrates that the nucleus is the primary site for TPL-2 ubiquitination and proteasomal degradation. BCL-3 promotes TPL-2 degradation through interaction in the nucleus. As a consequence, Bcl3 -/- macrophages have increased TPL-2 stability and MAPK activity following TLR stimulation. The enhanced stability of TPL-2 in Bcl3 -/- macrophages lowers the MAPK activation threshold and the level of TLR ligand required to initiate an inflammatory response. This study establishes the nucleus as a key regulatory site for TLR-induced MAPK activity and identifies BCL-3 as a regulator of the cellular decision to initiate 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)0.003
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.011
GPT teacher head0.219
Teacher spread0.207 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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