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Isolation of a Sialogogic Peptide from Bovine Hypothalamic Tissue and Its Characterization as Substance P

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Chang, Michael M., Leeman, Susan E.·1970·Journal of Biological Chemistry

Abstract

A sialogogic peptide has been isolated from bovine hypothalami by gel filtration, ion exchange chromatography, and high voltage paper electrophoresis. The purity of this peptide was established by showing that the molar ratios of the constituent amino acids remained constant after high voltage paper electrophoresis at pH 1.9, 3.5, and 6.5. Its molecular weight (estimated by gel filtration) and its amino acid composition show that the peptide is an undecapeptide composed of Lys1, Arg1, Glx2, Pro2, Gly1, Leu1, Met1, and Phe2. The NH2-terminal residue is arginine. Further biological testing showed that the sialogogic peptide isolated is indistinguishable from Substance P; i.e. it stimulates contraction of the guinea pig ileum and the rat duodenum and is a potent vasodepressor. These effects are not inhibited by prior treatment of the test preparation with atropine. This report is believed to present the first complete purification of Substance P.

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Metadata

Authors
Chang, M. M., & Leeman, S. E.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1970-09
Volume
245
Issue
18
Pages
4784-4790
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1589773292
Cited by
696
References
0
FWCI
2.25
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Isolation of a Sialogogic Peptide from Bovine Hypothalamic Tissue and Its Characterization as Substance P. https://app.cochat.ai/papers/10.1016/s0021-9258(18)62860-1
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Chang, M. M., & Leeman, S. E. (1970). Isolation of a Sialogogic Peptide from Bovine Hypothalamic Tissue and Its Characterization as Substance P. Journal of Biological Chemistry. https://doi.org/10.1016/s0021-9258(18)62860-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.