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Record W2027319128 · doi:10.1002/pmic.200400991

Single‐step <b><i>Strep</i></b>‐tag® purification for the isolation and identification of protein complexes from mammalian cells

2005· article· en· W2027319128 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 · 2005
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAffinity chromatographyProtein phosphatase 2Multiprotein complexProtein purificationIdentification (biology)Mass spectrometryBiologyElutionComputational biologyProteomicsTandem affinity purificationImmunoprecipitationBiochemistryIsolation (microbiology)FLAG-tagCell cultureChemistryChromatographyPhosphatasePhosphorylationBioinformaticsGeneticsEnzymeRecombinant DNAGene

Abstract

fetched live from OpenAlex

Identification of protein complexes is the key to understanding cellular functions. In this study, we present a novel method for the identification of multiprotein complexes from mammalian cells. By using the Strep-tag affinity chromatography method, enabling fast and simple one-step purification, coupled with competitive elution under physiological conditions, we successfully purified a PP2A holoenzyme protein complex from a cultured mammalian cancer cell line. We identified, by mass spectrometry, both known and novel interacting proteins for PP2A, and demonstrate that the purified PP2A complex is functional. The benefits and potential applications of the Strep-tag method for protein complex purification are discussed.

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)0.000
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: none
Teacher disagreement score0.316
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.018
GPT teacher head0.255
Teacher spread0.238 · 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