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1.
Methods ; 155: 41-48, 2019 02 15.
Artigo em Inglês | MEDLINE | ID: mdl-30391514

RESUMO

Recent developments in high-throughput RNA sequencing methods coupled with innovative bioinformatic tools have uncovered thousands of circular (circ)RNAs. CircRNAs have emerged as a vast and novel class of regulatory RNAs with potential to modulate gene expression by acting as sponges for microRNAs (miRNAs) and RNA-binding proteins (RBPs). The biochemical enrichment of circRNAs by exoribonuclease treatment or by depletion of polyadenylated RNAs coupled with deep-sequencing is widely used for the systematic identification of circRNAs. Although these methods enrich circRNAs substantially, they do not eliminate efficiently non-polyadenylated and highly-structured RNAs. Here, we describe a method we termed RPAD, based on initial RNase R treatment followed by Polyadenylation and poly(A)+ RNA Depletion. These joint interventions drastically depleted linear RNAs leading to isolation of highly pure circRNAs from total RNA pools. By facilitating the isolation of highly pure circRNAs, RPAD enables the elucidation of circRNA biogenesis, sequence, and function.


Assuntos
Biologia Computacional/métodos , Poli A/genética , RNA Mensageiro/genética , RNA/isolamento & purificação , Análise de Sequência de RNA/métodos , Proteínas de Ciclo Celular , Proteínas do Citoesqueleto , Exorribonucleases/genética , Exorribonucleases/metabolismo , Células HeLa , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Peptídeos e Proteínas de Sinalização Intracelular/genética , Peptídeos e Proteínas de Sinalização Intracelular/metabolismo , Proteínas Nucleares/genética , Proteínas Nucleares/metabolismo , Poli A/metabolismo , Poliadenilação , Proteínas Serina-Treonina Quinases/genética , Proteínas Serina-Treonina Quinases/metabolismo , RNA/genética , RNA/metabolismo , RNA Circular , RNA Mensageiro/metabolismo , Proteínas de Ligação a RNA/genética , Proteínas de Ligação a RNA/metabolismo
2.
Int J Mol Sci ; 21(12)2020 Jun 17.
Artigo em Inglês | MEDLINE | ID: mdl-32560282

RESUMO

Circular RNAs (circRNAs) are a large family of noncoding RNAs that have emerged as novel regulators of gene expression. However, little is known about the function of circRNAs in pancreatic ß-cells. Here, transcriptomic analysis of mice pancreatic islet RNA-sequencing data identified 77 differentially expressed circRNAs between mice fed with a normal diet and a high-fat diet. Surprisingly, multiple circRNAs were derived from the intron 2 of the preproinsulin 2 (Ins2) gene and are termed as circular intronic (ci)-Ins2. The expression of ci-Ins2 transcripts in mouse pancreatic islets, and ßTC6 cells were confirmed by reverse transcription PCR, DNA sequencing, and RNase R treatment experiments. The level of ci-Ins2 was altered in ßTC6 cells upon exposure to elevated levels of palmitate and glucose. Computational analysis predicted the interaction of several RNA-binding proteins with ci-Ins2 and their flanking region, suggesting their role in the ci-Ins2 function or biogenesis. Additionally, bioinformatics analysis predicted the association of several microRNAs with ci-Ins2. Gene ontology and pathway analysis of genes targeted by miRNAs associated with ci-Ins2 suggested the regulation of several key biological processes. Together, our findings indicate that differential expression of circRNAs, especially ci-Ins2 transcripts, may regulate ß-cell function and may play a critical role in the development of diabetes.


Assuntos
Insulinas/genética , RNA Circular , Processamento Alternativo , Sequência de Bases , Biologia Computacional/métodos , Éxons , Perfilação da Expressão Gênica , Regulação da Expressão Gênica , Células Secretoras de Insulina/metabolismo , Íntrons , Interferência de RNA , Splicing de RNA , Fatores de Processamento de RNA/metabolismo , Transcriptoma
3.
Int J Mol Sci ; 20(16)2019 Aug 16.
Artigo em Inglês | MEDLINE | ID: mdl-31426285

RESUMO

High-throughput RNA sequencing and novel bioinformatic pipelines have identified thousands of circular (circ)RNAs containing backsplice junction sequences. However, circRNAs generated from multiple exons may contain different combinations of exons and/or introns arising from alternative splicing, while the backsplice junction sequence is the same. To be able to identify circRNA splice variants, we developed a method termed circRNA-Rolling Circle Amplification (circRNA-RCA). This method detects full-length circRNA sequences by performing reverse transcription (RT) in the absence of RNase H activity, followed by polymerase chain reaction (PCR) amplification of full-length circRNAs using a forward primer spanning the backsplice junction sequence and a reverse primer exactly upstream of the forward primer. By sequencing the PCR products, circRNA splice variants bearing the same backsplice junctions, which were otherwise only predicted computationally, could be experimentally validated. The splice variants were further predicted to associate with different subsets of target RNA-binding proteins and microRNAs, supporting the notion that different circRNA splice variants can have different biological impacts. In sum, the circRNA-RCA method allows the accurate identification of full-length circRNA sequences, offering unique insight into their individual function.


Assuntos
DNA Complementar/genética , Splicing de RNA , RNA Circular/genética , Processamento Alternativo , Sequência de Bases , Células HeLa , Humanos , Reação em Cadeia da Polimerase Via Transcriptase Reversa/métodos , Análise de Sequência de RNA/métodos
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