Linked Life Data

20353816

Source:http://linkedlifedata.com/resource/pubmed/id/20353816

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-7-8
pubmed:abstractText
Small nucleolar RNAs (snoRNAs) represent one of the largest groups of functional non-protein coding RNAs currently known in eukaryotic cells. The processing of intron encoded snoRNAs has been well documented; however, the transcriptional regulation of snoRNA genes is still poorly understood, most likely due to the lack of characterization of snoRNA promoters. Here we used a computational approach to predict core promoters for 131 human snoRNAs. Majority of putative snoRNA promoters are supported by DNase I hypersensitivities, RNA polymerase II ChIP-seq peaks, or CAGE tag clusters. Based on the genomic organizations of predicted human snoRNA promoters, we propose five transcriptional models of those snoRNA genes; we also found evidence that some intronic human snoRNAs might have their own promoters. The present study is the first in silico screening of human snoRNAs promoters; and we anticipate the data will facilitate further molecular characterization of transcriptional control of human snoRNA genes.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1089-8646
pubmed:author
pubmed:copyrightInfo
Copyright (c) 2010 Elsevier Inc. All rights reserved.
pubmed:issnType
Electronic
pubmed:volume
96
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
50-6
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Identification and characterization of human snoRNA core promoters.
pubmed:affiliation
Department of Biomedical Informatics, Peking University Health Science Center, 38 Xueyuan Road, Beijing, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't