Inhibition by Copper(II) Binding of Hepatocyte Growth Factor (HGF) Interaction with Its Receptor Met and Blockade of HGF/Met Function
Bibliographic record
Abstract
Overexpression of hepatocyte growth factor (HGF) and its receptor Met often occurs in carcinoma cells, leading to establishment of an HGF/Met autocrine loop. Therefore, disruption of the HGF/Met autocrine loop may lead to down-regulation of tumorigenesis. To study the HGF/Met interaction, we have developed a cell-free system to detect HGF binding to a Met fusion protein, Met-IgG, using a modified enzyme-linked immunosorbent assay methodology. Since we previously showed that HGF can be purified by copper(II) affinity chromatography, we further explored the effect of copper(II) on the HGF/Met interaction. The divalent metal cations copper(II) and zinc(II) significantly inhibited HGF binding to immobilized Met-IgG with IC(50) values of 230-270 microM, respectively, whereas manganese(II) and magnesium(II) were less inhibitory with 20-60-fold higher IC(50) values. Incubation of 1 mM copper(II) with HGF resulted in nondenaturing and denaturing gel-mobility shifts, indicating that copper(II) binds directly to HGF. This interaction occurs at the N terminus of HGF, as incubation of 1 mM copper(II) with both HGF and the HGF derivative NK1 yielded similar results on SDS-PAGE. HGF-induced activation of Met and cell scattering were inhibited upon addition of HGF in the presence of 1 mM and 500 microM copper(II), respectively. Chemical protonation with diethyl pyrocarbonate of HGF histidine residues impeded the ability of 500 microM copper(II) to inhibit the binding of HGF to immobilized Met-IgG. Based on the NK1 domain structure, we propose that copper(II) may interact with HGF via the histidine residues in either N-terminal or kringle domains. The inhibition of HGF/Met interaction and subsequent downstream cellular functions may be through direct interference by copper(II), such as a change in charge or an induced local conformational change. This putative copper(II) binding domain may be the basis for developing potential inhibitors of HGF/Met binding and downstream functions and could lead to novel strategies for anti-cancer treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".