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Record W2024586422 · doi:10.1021/pr049941r

Using Immobilized Metal Affinity Chromatography, Two-Dimensional Electrophoresis and Mass Spectrometry to Identify Hepatocellular Proteins with Copper-Binding Ability

2004· article· en· W2024586422 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

VenueJournal of Proteome Research · 2004
Typearticle
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsChemistryCopperProteomicsCytosolMass spectrometryChromatographyAffinity chromatographyGel electrophoresisAffinity electrophoresisBiochemistryMicrosomeEnzyme

Abstract

fetched live from OpenAlex

To further our knowledge of intracellular copper transport, we used a proteomics strategy to search for hepatic proteins with copper-binding ability. Hep G2 cytosolic and microsomal fractions were applied to a copper(II)-loaded immobilized metal-affinity chromatography (IMAC) column. Protein identification was performed with 2-D gel electrophoresis and mass spectrometry. We identified 48 cytosolic proteins and 19 microsomal proteins displaying copper-binding ability. These proteins are diverse in function. Fifty-two of the 67 proteins contain putative metal-binding domains. We have identified many components of the Hep G2 copper metalloproteome including a large number of proteins not previously known to bind copper.

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)0.009
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 score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.077
GPT teacher head0.411
Teacher spread0.334 · 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