RNA-seq analysis of single bovine blastocysts

Background: Use of RNA-Seq presents unique benefits in terms of gene expression analysis because of its wide dynamic range and ability to identify functional sequence variants. This technology provides the opportunity to assay the developing embryo, but the paucity of biological material available f...

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Detalles Bibliográficos
Autores: Chitwood, James L., Rincon, Gonzalo, Kaiser, German Gustavo, Medrano, Juan F., Ross, Pablo J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:Argentina
Institución:Instituto Nacional de Tecnología Agropecuaria
Repositorio:INTA Digital (INTA)
Idioma:inglés
OAI Identifier:oai:localhost:20.500.12123/4368
Acceso en línea:https://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-14-350
http://hdl.handle.net/20.500.12123/4368
https://doi.org/10.1186/1471-2164-14-350
Access Level:acceso abierto
Palabra clave:Secuencia Nucleotídica
ARN
Embriones Animales
Bovina
Expresión Génica
Nucleotide Sequence
RNA
Animal Embryos
Bovinae
Gene Expression
Blastocistos
Blastocysts
Descripción
Sumario:Background: Use of RNA-Seq presents unique benefits in terms of gene expression analysis because of its wide dynamic range and ability to identify functional sequence variants. This technology provides the opportunity to assay the developing embryo, but the paucity of biological material available from individual embryos has made this a challenging prospect. Results: We report here the first application of RNA-Seq for the analysis of individual blastocyst gene expression, SNP detection, and characterization of allele specific expression (ASE). RNA was extracted from single bovine blastocysts (n = 5), amplified, and analyzed using high-throughput sequencing. Approximately 38 million sequencing reads were generated per embryo and 9,489 known bovine genes were found to be expressed, with a high correlation of expression levels between samples (r > 0.97). Transcriptomic data was analyzed to identify SNP in expressed genes, and individual SNP were examined to characterize allele specific expression. Expressed biallelic SNP variants with allelic imbalances were observed in 473 SNP, where one allele represented between 65-95% of a variant’s transcripts. Conclusions: This study represents the first application of RNA-seq technology in single bovine embryos allowing a representation of the embryonic transcriptome and the analysis of transcript sequence variation to describe specific allele expression.