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Record W1492392983 · doi:10.1385/0-89603-272-8:349

Purification of the Extracellular Domain of the Epidermal Growth Factor Receptor Produced by Recombinant Baculovirus-Infected Insect Cells in a 10-L Reactor

2003· review· en· W1492392983 on OpenAlexaff
Maria T. Debanne, Maria C. Pacheco-Oliver, Maureen D. O'Connor‐McCourt

Bibliographic record

VenueHumana Press eBooks · 2003
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsNational Research Council CanadaBiotechnology Research Institute
Fundersnot available
KeywordsExtracellularEpidermal growth factorCell biologyBiologyTyrosine kinaseReceptorReceptor tyrosine kinaseEpidermal growth factor receptorWound healingSignal transductionBiochemistryImmunology

Abstract

fetched live from OpenAlex

The binding of ligand to the extracellular domain of the epidermal growth factor (EGF) receptor is the event that initiates the activation of the tyrosine kinase activity present on the cytoplasmic domain. This activation leads to the phosphorylation of the receptor and other cellular substrates, and results ultimately in stimulation of mitogenesis (1,2). The EGF receptor system is implicated in both the uncontrolled growth of certain carcinomas and the controlled growth that occurs during wound healing (3). In order to develop EGF receptor antagonists that may be used to treat cancer and agonists that may promote wound healing, an understanding of the structure-function relationships of the ligand receptor complex is essential. By studying the soluble extracellular domain of the receptor, the use of detergents is avoided, and biochemical and biophysical analyses are facilitated. We have expressed the extracellular domain of the EGF receptor (EGFR-ED) by infecting insect cells with a recombinant baculovirus that carries a DNA insert encoding for the entire extracellular domain, including the N-terminal signal sequence.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.044
GPT teacher head0.280
Teacher spread0.235 · 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.

Study designBench or experimental
Domainnot available
GenreReview

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

Citations7
Published2003
Admission routes1
Has abstractyes

Explore more

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