期刊
GENOMICS
卷 96, 期 1, 页码 50-56出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygeno.2010.03.010
关键词
SnoRNAs; Core promoters; Computation; Transcriptional models; Transcriptional regulation
资金
- National Basic Research Program of China [2007CB946903, 2005CB522405, 2009CB941602, 2009CB825403]
- National Natural Science Foundation of China [30871248, 60905014]
- Chinese National Programs for High Technology Research and Development [2006AA10A121, 2007AA02Z109]
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. (C) 2010 Elsevier Inc. All rights reserved.
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