Purification of the Extracellular Domain of the Epidermal Growth Factor Receptor Produced by Recombinant Baculovirus-Infected Insect Cells in a 10-L Reactor
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".