Isolation of specific neurones by affinity methods

Dvorak D.J., Gipps E. and Kidson C. (1978) Isolation of specific neurones by affinity methods. Nature, 271 5645: 564-566. doi:10.1038/271564a0

Author Dvorak D.J.
Gipps E.
Kidson C.
Title Isolation of specific neurones by affinity methods
Journal name Nature   Check publisher's open access policy
ISSN 0028-0836
Publication date 1978-01-01
Sub-type Article (original research)
DOI 10.1038/271564a0
Open Access Status Not yet assessed
Volume 271
Issue 5645
Start page 564
End page 566
Total pages 3
Language eng
Subject 1000 General
Abstract THE complex heterogeneity of cell populations in the nervous system severely limits the study of many important questions in neurobiology. Improvement of the current techniques of neuronal cell culture will require methods for selective isolation of neurones belonging to specific functional classes. Present methods include a degree of separation of neurones from non-neuronal cells by physical methods1-3 but these differentiate only on the basis of size or density. The separation of classes of tumour cells and lymphocytes has been accomplished by affinity chromatography using lectins or antibodies against surface antigens4-7. In principle neurone purification could be approached in the same way. Among other surface identities, neurones have neurotransmitter receptors which provide one basis for functional classification and potentially provide targets for affinity probes of high specificity. As a model system we chose the chick embryo sympathetic ganglion neurones which are known to possess high numbers of the nicotinic type of acetylcholine (ACh) receptor8. These cells also possess high numbers of receptors for α-bungarotoxin (αBT)9. We report here the successful separation by affinity chromatography of the principal neurones from sympathetic ganglia using αBT as a probe.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
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Citation counts: TR Web of Science Citation Count  Cited 21 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 19 times in Scopus Article | Citations
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