Linked Life Data

9599080

Source:http://linkedlifedata.com/resource/pubmed/id/9599080

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1998-5-18
pubmed:databankReference
pubmed:abstractText
Mutations in the beta-amyloid precursor protein (APP) gene are associated with some forms of Familial Alzheimer's Disease. The human APP gene is large, the 19 exons span approximately 300 kb, and AT-rich, at 40% GC. We have examined the genomic structure and cDNA sequence of the APP gene in the pufferfish Fugu rubripes and Tetraodon fluviatilis, respectively. In contrast to human, the Fugu APP gene spans less than 10 kb of DNA, with the introns compacted 48-fold on average. Two axons, alternatively processed in humans, are absent in both pufferfish. APP is the largest, most AT-rich gene examined in Fugu and is also the most highly compressed. The genomic sequences spanning the human and the Fugu APP genes were analysed with a set of exon and gene prediction programs. Results show that these are highly reliable for the Fugu gene with lower false positive and false negative rates than are seen in the analysis of the human gene. Comparative analysis of Fugu sequences homologous to very AT-rich regions in the human genome may, therefore, be advantageous in gene-finding efforts, both for their highly reduced sizes and their reliable gene predictions.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0378-1119
pubmed:author
pubmed:issnType
Print
pubmed:day
27
pubmed:volume
210
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
17-24
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1998
pubmed:articleTitle
Analysis of pufferfish homologues of the AT-rich human APP gene.
pubmed:affiliation
Eleanor Roosevelt Institute, Denver, Colorado, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't