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Dataset Information

Identification of novel transcripts and noncoding RNAs in bovine skin by deep next generation sequencing.


ABSTRACT:

Background

Deep RNA sequencing (RNAseq) has opened a new horizon for understanding global gene expression. The functional annotation of non-model mammalian genomes including bovines is still poor compared to that of human and mouse. This particularly applies to tissues without direct significance for milk and meat production, like skin, in spite of its multifunctional relevance for the individual. Thus, applying an RNAseq approach, we performed a whole transcriptome analysis of pigmented and nonpigmented bovine skin to describe the comprehensive transcript catalogue of this tissue.

Results

A total of 39,577 unique primary skin transcripts were mapped to the bovine reference genome assembly. The majority of the transcripts were mapped to known transcriptional units (65%). In

SUBMITTER: Weikard R 

PROVIDER: S-EPMC3833843 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature