Nakaya Helder I, Amaral Paulo P, Louro Rodrigo, Lopes André, Fachel Angela A, Moreira Yuri B, El-Jundi Tarik A, da Silva Aline M, Reis Eduardo M, Verjovski-Almeida Sergio
Departamento de Bioquimica, Instituto de Quimica, Universidade de São Paulo, São Paulo, SP, Brazil.
Genome Biol. 2007;8(3):R43. doi: 10.1186/gb-2007-8-3-r43.
RNAs transcribed from intronic regions of genes are involved in a number of processes related to post-transcriptional control of gene expression. However, the complement of human genes in which introns are transcribed, and the number of intronic transcriptional units and their tissue expression patterns are not known.
A survey of mRNA and EST public databases revealed more than 55,000 totally intronic noncoding (TIN) RNAs transcribed from the introns of 74% of all unique RefSeq genes. Guided by this information, we designed an oligoarray platform containing sense and antisense probes for each of 7,135 randomly selected TIN transcripts plus the corresponding protein-coding genes. We identified exonic and intronic tissue-specific expression signatures for human liver, prostate and kidney. The most highly expressed antisense TIN RNAs were transcribed from introns of protein-coding genes significantly enriched (p = 0.002 to 0.022) in the 'Regulation of transcription' Gene Ontology category. RNA polymerase II inhibition resulted in increased expression of a fraction of intronic RNAs in cell cultures, suggesting that other RNA polymerases may be involved in their biosynthesis. Members of a subset of intronic and protein-coding signatures transcribed from the same genomic loci have correlated expression patterns, suggesting that intronic RNAs regulate the abundance or the pattern of exon usage in protein-coding messages.
We have identified diverse intronic RNA expression patterns, pointing to distinct regulatory roles. This gene-oriented approach, using a combined intron-exon oligoarray, should permit further comparative analysis of intronic transcription under various physiological and pathological conditions, thus advancing current knowledge about the biological functions of these noncoding RNAs.
从基因内含子区域转录而来的RNA参与了许多与基因表达转录后调控相关的过程。然而,内含子被转录的人类基因的组成、内含子转录单元的数量及其组织表达模式尚不清楚。
对mRNA和EST公共数据库的一项调查显示,超过55000个完全内含子非编码(TIN)RNA是从所有独特RefSeq基因的74%的内含子转录而来的。基于这些信息,我们设计了一个寡核苷酸芯片平台,该平台包含针对7135个随机选择的TIN转录本以及相应蛋白质编码基因的正、反义探针。我们确定了人类肝脏、前列腺和肾脏的外显子和内含子组织特异性表达特征。表达量最高的反义TIN RNA是从“转录调控”基因本体类别中显著富集(p = 0.002至0.022)的蛋白质编码基因的内含子转录而来的。RNA聚合酶II抑制导致细胞培养物中一部分内含子RNA的表达增加,这表明其他RNA聚合酶可能参与了它们的生物合成。从相同基因组位点转录的内含子和蛋白质编码特征子集的成员具有相关的表达模式,这表明内含子RNA调节蛋白质编码信息中外显子使用的丰度或模式。
我们已经确定了多种内含子RNA表达模式,表明其具有不同的调控作用。这种以基因为导向的方法,使用内含子 - 外显子组合寡核苷酸芯片,应该能够在各种生理和病理条件下对内含子转录进行进一步的比较分析,从而推进目前关于这些非编码RNA生物学功能的知识。