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Complete mRNA coding sequence of the acetylcholine binding alpha-subunit of Torpedo marmorata acetylcholine receptor: a model for the transmembrane organization of the polypeptide chain.

Open access
Devillers-Thiery, A, Giraudat, J, Bentaboulet, M, Changeux, J P·1983·Proceedings of the National Academy of Sciences

Abstract

A 1,350-base-pair-long cDNA clone, named p alpha-2, was isolated by hybridization to the previously characterized clone p alpha-1 and found to be specific for the alpha-subunit of the Torpedo marmorata acetylcholine receptor. The nucleotide sequences of both cDNA inserts were analyzed and the sequence of the complete coding region and part of the 5' and 3' untranslated regions of the alpha-chain mRNA was determined. The complete amino acid sequence of the alpha-chain precursor is presented and used to develop a model for the transmembrane organization of the polypeptide.

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Metadata

Authors
Devillers-Thiery, A., Giraudat, J., Bentaboulet, M., & Changeux, J. P.
Venue
Proceedings of the National Academy of Sciences
Published
1983-04
Volume
80
Issue
7
Pages
2067-2071
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2019433452
Cited by
333
References
0
FWCI
21.01
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Complete mRNA coding sequence of the acetylcholine binding alpha-subunit of Torpedo marmorata acetylcholine receptor: a model for the transmembrane organization of the polypeptide chain. https://app.cochat.ai/papers/10.1073/pnas.80.7.2067
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Devillers-Thiery, A., Giraudat, J., Bentaboulet, M., & Changeux, J. P. (1983). Complete mRNA coding sequence of the acetylcholine binding alpha-subunit of Torpedo marmorata acetylcholine receptor: a model for the transmembrane organization of the polypeptide chain. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.80.7.2067

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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.