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Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations

BACKGROUND: Intronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC. METHODS: Microarray...

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Autores principales: Fachel, Angela A, Tahira, Ana C, Vilella-Arias, Santiago A, Maracaja-Coutinho, Vinicius, Gimba, Etel RP, Vignal, Giselle M, Campos, Franz S, Reis, Eduardo M, Verjovski-Almeida, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834536/
https://www.ncbi.nlm.nih.gov/pubmed/24238219
http://dx.doi.org/10.1186/1476-4598-12-140
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author Fachel, Angela A
Tahira, Ana C
Vilella-Arias, Santiago A
Maracaja-Coutinho, Vinicius
Gimba, Etel RP
Vignal, Giselle M
Campos, Franz S
Reis, Eduardo M
Verjovski-Almeida, Sergio
author_facet Fachel, Angela A
Tahira, Ana C
Vilella-Arias, Santiago A
Maracaja-Coutinho, Vinicius
Gimba, Etel RP
Vignal, Giselle M
Campos, Franz S
Reis, Eduardo M
Verjovski-Almeida, Sergio
author_sort Fachel, Angela A
collection PubMed
description BACKGROUND: Intronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC. METHODS: Microarray experiments were performed with custom-designed arrays enriched with probes for lncRNAs mapping to intronic genomic regions. Samples from 18 primary RCC tumors and 11 nontumor adjacent matched tissues were analyzed. Meta-analyses were performed with microarray expression data from three additional human tissues (normal liver, prostate tumor and kidney nontumor samples), and with large-scale public data for epigenetic regulatory marks and for evolutionarily conserved sequences. RESULTS: A signature of 29 intronic lncRNAs differentially expressed between RCC and nontumor samples was obtained (false discovery rate (FDR) <5%). A signature of 26 intronic lncRNAs significantly correlated with the RCC five-year patient survival outcome was identified (FDR <5%, p-value ≤0.01). We identified 4303 intronic antisense lncRNAs expressed in RCC, of which 22% were significantly (p <0.05) cis correlated with the expression of the mRNA in the same locus across RCC and three other human tissues. Gene Ontology (GO) analysis of those loci pointed to 'regulation of biological processes’ as the main enriched category. A module map analysis of the protein-coding genes significantly (p <0.05) trans correlated with the 20% most abundant lncRNAs, identified 51 enriched GO terms (p <0.05). We determined that 60% of the expressed lncRNAs are evolutionarily conserved. At the genomic loci containing the intronic RCC-expressed lncRNAs, a strong association (p <0.001) was found between their transcription start sites and genomic marks such as CpG islands, RNA Pol II binding and histones methylation and acetylation. CONCLUSION: Intronic antisense lncRNAs are widely expressed in RCC tumors. Some of them are significantly altered in RCC in comparison with nontumor samples. The majority of these lncRNAs is evolutionarily conserved and possibly modulated by epigenetic modifications. Our data suggest that these RCC lncRNAs may contribute to the complex network of regulatory RNAs playing a role in renal cell malignant transformation.
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spelling pubmed-38345362013-11-21 Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations Fachel, Angela A Tahira, Ana C Vilella-Arias, Santiago A Maracaja-Coutinho, Vinicius Gimba, Etel RP Vignal, Giselle M Campos, Franz S Reis, Eduardo M Verjovski-Almeida, Sergio Mol Cancer Research BACKGROUND: Intronic and intergenic long noncoding RNAs (lncRNAs) are emerging gene expression regulators. The molecular pathogenesis of renal cell carcinoma (RCC) is still poorly understood, and in particular, limited studies are available for intronic lncRNAs expressed in RCC. METHODS: Microarray experiments were performed with custom-designed arrays enriched with probes for lncRNAs mapping to intronic genomic regions. Samples from 18 primary RCC tumors and 11 nontumor adjacent matched tissues were analyzed. Meta-analyses were performed with microarray expression data from three additional human tissues (normal liver, prostate tumor and kidney nontumor samples), and with large-scale public data for epigenetic regulatory marks and for evolutionarily conserved sequences. RESULTS: A signature of 29 intronic lncRNAs differentially expressed between RCC and nontumor samples was obtained (false discovery rate (FDR) <5%). A signature of 26 intronic lncRNAs significantly correlated with the RCC five-year patient survival outcome was identified (FDR <5%, p-value ≤0.01). We identified 4303 intronic antisense lncRNAs expressed in RCC, of which 22% were significantly (p <0.05) cis correlated with the expression of the mRNA in the same locus across RCC and three other human tissues. Gene Ontology (GO) analysis of those loci pointed to 'regulation of biological processes’ as the main enriched category. A module map analysis of the protein-coding genes significantly (p <0.05) trans correlated with the 20% most abundant lncRNAs, identified 51 enriched GO terms (p <0.05). We determined that 60% of the expressed lncRNAs are evolutionarily conserved. At the genomic loci containing the intronic RCC-expressed lncRNAs, a strong association (p <0.001) was found between their transcription start sites and genomic marks such as CpG islands, RNA Pol II binding and histones methylation and acetylation. CONCLUSION: Intronic antisense lncRNAs are widely expressed in RCC tumors. Some of them are significantly altered in RCC in comparison with nontumor samples. The majority of these lncRNAs is evolutionarily conserved and possibly modulated by epigenetic modifications. Our data suggest that these RCC lncRNAs may contribute to the complex network of regulatory RNAs playing a role in renal cell malignant transformation. BioMed Central 2013-11-15 /pmc/articles/PMC3834536/ /pubmed/24238219 http://dx.doi.org/10.1186/1476-4598-12-140 Text en Copyright © 2013 Fachel et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Fachel, Angela A
Tahira, Ana C
Vilella-Arias, Santiago A
Maracaja-Coutinho, Vinicius
Gimba, Etel RP
Vignal, Giselle M
Campos, Franz S
Reis, Eduardo M
Verjovski-Almeida, Sergio
Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations
title Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations
title_full Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations
title_fullStr Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations
title_full_unstemmed Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations
title_short Expression analysis and in silico characterization of intronic long noncoding RNAs in renal cell carcinoma: emerging functional associations
title_sort expression analysis and in silico characterization of intronic long noncoding rnas in renal cell carcinoma: emerging functional associations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834536/
https://www.ncbi.nlm.nih.gov/pubmed/24238219
http://dx.doi.org/10.1186/1476-4598-12-140
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