ArticleProceedings of the National Academy of Sciences of the United States of America1996
Purification of a ligand for the EPH-like receptor HEK using a biosensor-based affinity detection approach.
Article in Proceedings of the National Academy of Sciences of the United States of America, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 81 citations in OpenAlex.
- ADAM10-cleaved ephrin-A5 contributes to prostate cancer metastasis.Cell death & disease · 2022Article
- Comparison of methods for quantitative biomolecular interaction analysis.Analytical and bioanalytical chemistry · 2022Article
- Comparison of analytical techniques for the identification of bioactive compounds from natural products.Natural product reports · 2016Review
- Antibodies binding the ADAM10 substrate recognition domain inhibit Eph function.Journal of cell science · 2012Article
- Cancer somatic mutations disrupt functions of the EphA3 receptor tyrosine kinase through multiple mechanisms.Biochemistry · 2012Article
- Immobilizing topoisomerase I on a surface plasmon resonance biosensor chip to screen for inhibitors.Journal of biomedical science · 2010Article
- Current methods for detecting antibodies against erythropoietin and other recombinant proteins.Clinical and diagnostic laboratory immunology · 2005Review
- EphB6 crosslinking results in costimulation of T cells.The Journal of clinical investigation · 2002Article
- Compartmentalized signaling by GPI-anchored ephrin-A5 requires the Fyn tyrosine kinase to regulate cellular adhesion.Genes & development · 1999Article
- Regulation of thalamic neurite outgrowth by the Eph ligand ephrin-A5: implications in the development of thalamocortical projections.Proceedings of the National Academy of Sciences of the United States of America · 1998Article
- The human A33 antigen is a transmembrane glycoprotein and a novel member of the immunoglobulin superfamily.Proceedings of the National Academy of Sciences of the United States of America · 1997Article
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in screening technologies allowing the identification of growth factor receptors solely by virtue of DNA or protein sequence comparison call for novel methods to isolate corresponding ligand growth factors. The EPH-like receptor tyrosine kinase (RTK) HEK (human EPH-like kinase) was identified previously as a membrane antigen on the LK63 human pre-B-cell line and overexpression in leukemic specimens and cell lines suggested a role in oncogenesis. We developed a biosensor-based approach using the immobilized HEK receptor exodomain to detect and monitor purification of the HEK ligand. A protein purification protocol, which included HEK affinity chromatography, achieved a 1.8 X 10(6)-fold purification of an approximately 23-kDa protein from human placental conditioned medium. Analysis of specific sHEK (soluble extracellular domain of HEK) ligand interactions in the first and final purification steps suggested a ligand concentration of 40 pM in the source material and a Kd of 2-3 nM. Since the purified ligand was N-terminally blocked, we generated tryptic peptides and N-terminal amino acid sequence analysis of 7 tryptic fragments of the S-pyridylethylated protein unequivocally matched the sequence for AL-1, a recently reported ligand for the related EPH-like RTK REK7 (Winslow, J.W., Moran, P., Valverde, J., Shih, A., Yuan, J.Q., Wong, S.C., Tsai, S.P., Goddard, A., Henzel, W.J., Hefti, F., Beck, K.D., & Caras, I.W. (1995) Neuron 14, 973-981). Our findings demonstrate the application of biosensor technology in ligand purification and show that AL-1, as has been found for other ligands of the EPH-like RTK family, binds more than one receptor.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.