Expression profiling of microRNAs by deep sequencing
AUTOR(ES)
Creighton, Chad J.
FONTE
Oxford University Press
RESUMO
MicroRNAs are short non-coding RNAs that regulate the stability and translation of mRNAs. Profiling experiments, using microarray or deep sequencing technology, have identified microRNAs that are preferentially expressed in certain tissues, specific stages of development, or disease states such as cancer. Deep sequencing utilizes massively parallel sequencing, generating millions of small RNA sequence reads from a given sample. Profiling of microRNAs by deep sequencing measures absolute abundance and allows for the discovery of novel microRNAs that have eluded previous cloning and standard sequencing efforts. Public databases provide in silico predictions of microRNA gene targets by various algorithms. To better determine which of these predictions represent true positives, microRNA expression data can be integrated with gene expression data to identify putative microRNA:mRNA functional pairs. Here we discuss tools and methodologies for the analysis of microRNA expression data from deep sequencing.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2733187Documentos Relacionados
- Expression profiling of mammalian microRNAs uncovers a subset of brain-expressed microRNAs with possible roles in murine and human neuronal differentiation
- Identification and characterisation of microRNAs in young adults of Angiostrongylus cantonensis via a deep-sequencing approach
- MicroRNAs and small interfering RNAs can inhibit mRNA expression by similar mechanisms
- Small RNA sequencing reveals microRNAs related to neuropathic pain in rats
- MicroRNAs in plants