Deciphering the RNA landscape by RNAome sequencing [Affymetrix]

ABSTRACT: Current RNA expression profiling methods rely on enrichment steps for specific RNA classes, thereby not detecting all RNA species in an unperturbed manner. We report strand-specific RNAome sequencing that determines expression of small and large RNAs from ribosomal RNA-depleted total RNA in a single sequence run. Since current analysis pipelines cannot reliably analyze small and large RNAs simultaneously, we developed TRAP, Total Rna Analysis Pipeline, a robust interface that is also compatible with existing RNA sequencing protocols. RNAome sequencing quantitatively preserved all RNA classes, allowing cross-class comparisons that facilitates the identification of relationships between different RNA classes. We demonstrate the strength of RNAome sequencing in mouse embryonic stem cells trea

ORGANISM(S): Mus musculus

SUBMITTER: Kasper Derks 

PROVIDER: E-GEOD-47888 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress