An error in dystrophin mRNA processing in golden retriever muscular dystrophy, an animal homologue of Duchenne muscular dystrophy
Date
1992Author
Sharp, N. J. H.Kornegay, J. N.
Van Camp, S. D.
Herbstreith, M. H.
Secore, S. L.
Kettle, S.
Hung, W. -Y
Constantinou-Deltas, Constantinos D.
Dykstra, M. J.
Roses, A. D.
Bartlett, R. J.
Source
GenomicsVolume
13Pages
115-121Google Scholar check
Keyword(s):
Metadata
Show full item recordAbstract
Golden retriever muscular dystrophy (GRMD) is a spontaneous, X-linked, progressively fatal disease of dogs and is also a homologue of Duchenne muscular dystrophy (DMD). Two-thirds of DMD patients carry detectable deletions in their dystrophin gene in normal and GRMD dogs has failed to demonstrate any detectable loss of exons. Here, we have demonstrated a RNA processing error in GRMD that results from a single base change in the 3′ consensus splice site of intron 6. The seventh exon is then skipped, which predicts a termination of the dystrophin reading frame within its N-terminal domain in exon 8. This is the first example of dystrophin deficiency caused by a splice-site mutation. © 1992.
Collections
Cite as
Related items
Showing items related by title, author, creator and subject.
-
Article
Learning systems in biosignal analysis
Schizas, Christos N.; Pattichis, Constantinos S. (1997)In biosignal analysis, the utility of artificial neural networks (ANN) in classifying electromyographic (EMG) data trained with the momentum back propagation algorithm has recently been demonstrated. In the current study, ...
-
Conference Object
Unsupervised learning in computer aided macroelectromyography
Schizas, Christos N.; Pattichis, Constantinos S.; Livesay, R. R.; Schofield, I. S.; Lazarou, K. X.; Middleton, Lefkos T. (Publ by IEEE, 1991)Normals and patients from three disorders have been selected for investigation: (1) motor neurone disease (MND)
-
Conference Object
Artificial neural net algorithms in classifying electromyographic signals
Schizas, Christos N.; Pattichis, Constantinos S.; Schofield, I. S.; Fawcett, P. R.; Middleton, Lefkos T. (Publ by IEE, 1989)The aim of this work is to examine how Artificial Neural Nets (ANN) can be used as a computerized method for electromyographic diagnosis. For this reason, a number of well defined neuromuscular disorders have been selected, ...