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Record W2275037297

A human transferrin-vascular endothelial growth factor (hnTf-VEGF) fusion protein containing an integrated binding site for (111)In for imaging tumor angiogenesis.

2005· article· en· W2275037297 on OpenAlexaff
Conrad Chan, Jasbir Sandhu, Abhijit Guha, Deborah A. Scollard, Judy Wang, Paul Chen, Karen Bai, Lydia Lee, Raymond M. Reilly

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVascular endothelial growth factorPichia pastorisTransferrinMolecular biologyAngiogenesisFusion proteinChemistryHEPESRecombinant DNABiochemistryBiologyCancer researchGene
DOInot available

Abstract

fetched live from OpenAlex

UNLABELLED: Our objective was to synthesize a recombinant protein (hnTf-VEGF [VEGF is vascular endothelial growth factor]) composed of VEGF(165) fused through a flexible polypeptide linker (GGGGS)(3) to the n-lobe of human transferrin (hnTf) for imaging angiogenesis. The hnTf domain allowed labeling with (111)In at a site remote from the VEGF receptor-binding domain. METHODS: DNA encoding hnTf, peptide linker (GGGGS)(3), and VEGF(165) genes were cloned into the Pichia pastoris vector pPICZalphaB to generate the pPICZalphaB-hnTF-VEGF plasmid. The expression vector was transformed into P. pastoris KM71H strain. The protein was purified using Co(2+) metal affinity resin. The growth-stimulatory effects of hnTf-VEGF on human umbilical vascular endothelial cells (HUVECs) and its binding to porcine aortic endothelial cells (PAECs) transfected with VEGF receptors were evaluated. hnTf-VEGF protein was labeled with (111)InCl(3) in 10 mmol/L HEPES/15 mmol/L NaHCO(3) buffer, pH 7.4 (HEPES is N-(2-hydroxyethyl)piperazine-N'-(2-ethanesulfonic acid). The loss of (111)In in vitro from (111)In-hnTf-VEGF to transferrin in human plasma and to diethylenetriaminepentaacetic acid (DTPA) in buffer was determined. Tumor and normal tissue distributions of (111)In-hnTf-VEGF were evaluated in athymic mice implanted subcutaneously with U87MG human glioblastoma xenografts. Tumor imaging was performed. RESULTS: Sodium dodecylsulfate-polyacrylamine gel electrophoresis under reducing and nonreducing conditions showed bands for hnTf-VEGF monomer (M(r) of 65 kDa) and dimer (M(r) of 130 kDa). hnTf-VEGF stimulated the growth of HUVECs 3-fold and demonstrated binding to PAECs displaced by a 50-fold excess of VEGF(165) but not by apotransferrin. There was 21.3% +/- 3.4% loss of (111)In per day from (111)In-hnTf-VEGF to transferrin in plasma, but <5% loss to DTPA over 4 h. (111)In-hnTf-VEGF accumulated in U87MG tumors (6.7% injected dose per gram at 72 h after injection) and its tumor uptake decreased 15-fold by coadministration of a 100-fold excess of VEGF but not by apotransferrin. The tumor-to-blood ratio was 4.9:1 at 72 h after injection and tumors were imaged at 24-72 h after injection. CONCLUSION: (111)In-hnTf-VEGF is a promising radiopharmaceutical for imaging tumor angiogenesis and represents a prototypic protein harboring the metal-binding site of transferrin for labeling with (111)In without introducing DTPA metal chelators.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.252
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations47
Published2005
Admission routes1
Has abstractyes

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