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The intracellular domain of p75NTR as a determinant of cellular reducing potential and response to oxidant stress

2005· article· en· W2091951108 on OpenAlexaff
Yulia Y. Tyurina, Karen D. Nylander, Željka Korade, Carmel Portugal, Chaohua Yan, Clara Zaccaro, H. Uri Saragovi, Valerian E. Kagan, Nina F. Schor

Bibliographic record

VenueAging Cell · 2005
Typearticle
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsMcGill University
FundersNational Institute of Neurological Disorders and Stroke
KeywordsExtracellularLow-affinity nerve growth factor receptorIntracellularBiologyCell biologyReceptorReactive oxygen speciesApoptosisNeurotrophinBiochemistry

Abstract

fetched live from OpenAlex

The low-affinity neurotrophin receptor, p75NTR, has been found to be pro- or anti-apoptotic depending upon the cell in which it is expressed. Reactive oxygen species play a major role in apoptosis induction and enactment. Using two polyclonal PC12 populations that, respectively, do or do not express p75NTR, this paper demonstrates that p75NTR expression confers resistance to oxidant stress upon PC12 cells maintained in serum-containing medium. The effect of p75NTR on cell survival is mimicked in p75-negative cells by expression of constructs that produce the p75NTR intracellular domain (ICD) or p75NTR with the extracellular domain deleted (DeltaECD), suggesting that binding of an extracellular ligand to p75NTR is not required. Our studies further document that the differential sensitivity to oxidant stress is serum-dependent and associated with differential oxidation of glutathione between p75-positive and p75-negative cells. These results suggest that the role of p75NTR in determining the consequences and treatment of age-related disorders and conditions in which reactive oxygen species are involved may require neither the extracellular receptor domain nor, by inference, the cognate extracellular ligands of this neurotrophin receptor.

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 score0.004
Threshold uncertainty score0.285

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 head0.007
GPT teacher head0.234
Teacher spread0.228 · 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".

Quick stats

Citations32
Published2005
Admission routes1
Has abstractyes

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