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Identity of brain-associated small cell lung cancer antigen and the CD56 (NKH-1/Leu-19) leukocyte differentiation antigen and the neural cell adhesion molecule.

Authors: Y, Umezawa; S, Kuge; N, Kikyo; T, Shirai; J, Watanabe; M, Fugisawa; T, Okabe; +1 Authors

Identity of brain-associated small cell lung cancer antigen and the CD56 (NKH-1/Leu-19) leukocyte differentiation antigen and the neural cell adhesion molecule.

Abstract

Previous studies have demonstrated the monoclonal antibody, TFS-4, to recognize a cell surface antigen, 124,000 Daltons, of molecular weight expressed selectively on small cell lung cancer but not on non-small cell lung cancer, and to cross-react with the human brain, cardiac muscle and some smooth muscle cells. The cross-reactivity of TFS-4 with peripheral blood lymphocytes was examined by two color immunofluorescence analysis, using monoclonal antibodies to leukocyte differentiation antigens. Flow cytometric analysis revealed an identical subset of cells to express both BASCA and CD56(NKH-1 antigen). The immunofluorescence profiles for both TFS-4 and NKH-1 were, furthermore, identical to those of the background controls, identicating identical quantities of the antigens to be present on each cell within the population. Since CD56 has been show to be identical to the neural cell adhesion molecule (N-CAM), we determined the amino-terminal amino acid sequence of BASCA purified from the human brain. The amino-terminal amino acid sequence of BASCA was identical to that of N-CAM.

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Keywords

Antigens, Differentiation, T-Lymphocyte, Cell Adhesion Molecules, Neuronal, Molecular Sequence Data, Antibodies, Monoclonal, Fluorescent Antibody Technique, Cross Reactions, Flow Cytometry, CD56 Antigen, Killer Cells, Natural, Molecular Weight, Antigens, CD, Antigens, Neoplasm, Humans, Amino Acid Sequence, Lymphocytes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Related to Research communities
Cancer Research
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