Genome mapping and expression analyses of human intronic noncoding RNAs reveal tissue-specific patterns and enrichment in genes related to regulation of transcription.
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.
Authors
Helder I Nakaya; Paulo P Amaral; Rodrigo Louro; André Lopes; Angela A Fachel; Yuri B Moreira; Tarik A El-Jundi; Aline M da Silva; Eduardo M Reis; Sergio Verjovski-Almeida
External link
Publication Year
Publication Journal
Associeted Project
Integrative Biology
Lista de serviços
-
StructRNAfinder: an automated pipeline and web server for RNA families prediction.StructRNAfinder: an automated pipeline and web server for RNA families prediction.
-
CEMiTool: a Bioconductor package for performing comprehensive modular co-expression analyses.CEMiTool: a Bioconductor package for performing comprehensive modular co-expression analyses.
-
webCEMiTool: Co-expression Modular Analysis Made Easy.webCEMiTool: Co-expression Modular Analysis Made Easy.
-
Assessing the Impact of Sample Heterogeneity on Transcriptome Analysis of Human Diseases Using MDP Webtool.Assessing the Impact of Sample Heterogeneity on Transcriptome Analysis of Human Diseases Using MDP Webtool.
-
Predicting RNA Families in Nucleotide Sequences Using StructRNAfinder.Predicting RNA Families in Nucleotide Sequences Using StructRNAfinder.
-
OUTBREAK: a user-friendly georeferencing online tool for disease surveillance.OUTBREAK: a user-friendly georeferencing online tool for disease surveillance.
-
Noninvasive prenatal paternity determination using microhaplotypes: a pilot study.Noninvasive prenatal paternity determination using microhaplotypes: a pilot study.
-
Editorial: User-Friendly Tools Applied to Genetics or Systems Biology.Editorial: User-Friendly Tools Applied to Genetics or Systems Biology.
-
Automatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone imagesAutomatic detection of the parasite Trypanosoma cruzi in blood smears using a machine learning approach applied to mobile phone images
-
Tucuxi-BLAST: Enabling fast and accurate record linkage of large-scale health-related administrative databases through a DNA-encoded approachTucuxi-BLAST: Enabling fast and accurate record linkage of large-scale health-related administrative databases through a DNA-encoded approach
-
Ten quick tips for harnessing the power of ChatGPT in computational biologyTen quick tips for harnessing the power of ChatGPT in computational biology