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Record W2125706870 · doi:10.1002/pmic.201200270

Modulating protein function through reversible oxidation: Redox‐mediated processes in plants revealed through proteomics

2012· review· en· W2125706870 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePROTEOMICS · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhotosynthetic Processes and Mechanisms
Canadian institutionsAgriculture and Agri-Food CanadaMemorial University of Newfoundland
Fundersnot available
KeywordsProteomicsRedoxFunction (biology)ChemistryCell biologyBiochemistryComputational biologyBiologyInorganic chemistryGene

Abstract

fetched live from OpenAlex

It has been clearly demonstrated that plants redox control can be exerted over virtually every cellular metabolic pathway affecting metabolic homeostasis and energy balance. Therefore, a tight link exists between cellular/compartmental steady-state redox level and cellular metabolism. Proteomics offers a powerful new way to characterize the response and regulation of protein oxidation in different cell types and in relation to cellular metabolism. Compelling evidence revealed in proteomics studies suggests the integration of the redox network with other cellular signaling pathways such as Ca(2+) and/or protein phosphorylation, jasmonic, salicylic, abscisic acids, ethylene, and other phytohormones. Here we review progress in using the various proteomics techniques and approaches to answer biological questions arising from redox signaling and from changes in redox status of the cell. The focus is on reversible redox protein modifications and on three main processes, namely oxidative and nitrosative stress, defense against pathogens, cellular redox response and regulation, drawing on examples from plant redox proteomics studies.

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.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.290
Teacher spread0.247 · 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