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Record W292314210 · doi:10.1016/j.dib.2015.05.002

Mass spectrometry analysis of K63-ubiquitinated targets in response to oxidative stress

2015· article· en· W292314210 on OpenAlexfundno aff
Gustavo Monteiro Silva, Christine Vogel

Bibliographic record

VenueData in Brief · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesYork UniversityZegar Family FoundationNational Science Foundation
KeywordsOxidative stressMass spectrometryChemistryProteomicsUbiquitinOxidative phosphorylationCell biologyBiochemistryBiologyChromatography

Abstract

fetched live from OpenAlex

The data described here provide the first large-scale analysis of lysine 63 (K63)-linked polyubiquitin targets. Protein ubiquitination is a prominent post-translational modification, and a variety of ubiquitin chains exists, serving a multitude of functions [1]. The chains differ by the lysine residue by which the ubiquitin monomers are linked. We used yeast Saccharomyces cerevisiae subjected to oxidative stress as a model to study K63 ubiquitination. K63 ubiquitinated targets were pulled-down by the K63-TUBE system (Tandem Ubiquitin Binding Entities) and analyzed by SILAC-based mass spectrometry [2]. The data are associated to the research article 'K63 polyubiquitination is a new modulator of the oxidative stress response' [3]. The mass spectrometry and the analysis dataset have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the dataset identifier PXD000960.

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)0.001
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 score0.037
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.303
Teacher spread0.270 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

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