RNA sequencing of Sleeping Beauty transposon-induced @entity5 detect transposon-RNA fusions allowing precision analyses of forward XXXX screens.

@entity60735 @entity986 @entity5 @entity6823 @entity517 @entity59414 @entity584 @entity25087 @entity7991 @entity983 @entity461 @entity52981 @entity10005 @entity817 @entity48578 @entity3337 @entity13755
UNASSIGNED: Forward genetic screens using Sleeping Beauty (SB) mobilized T2/Onc transposons have been used to identify @entity3337 ( @entity3337 ) associated with @entity5 formation. Recurrent sites of transposon insertion are commonly identified using Ligation Mediated PCR (LM-PCR). Here, we use RNA-sequencing (RNA-seq) data to directly identify transcriptional events mediated by T2/Onc. Surprisingly, the majority (~80%) of LM-PCR identified junction fragments do not lead to observable changes in RNA transcripts. However, in @entity3337 regions, direct transcriptional effects of transposon insertions are observed. We developed an automated method to systematically identify T2/Onc-genome RNA fusion sequences in RNA-seq data. RNA fusion based @entity3337 were identified corresponding to both DNA based @entity3337 ( @entity986 , @entity10005 , @entity13755 , @entity983 , @entity60735 and @entity52981 ) and additional regions strongly associated with @entity5 that were not observed by LM-PCR ( @entity517 , @entity584 , @entity461 , @entity6823 , @entity7991 , @entity59414 , @entity25087 and @entity48578 ). In addition to calculating recurrent @entity3337 , we also present complementary methods to identify potential driver events via determination of strongly supported fusions and fusions with large transcript level changes in the absence of multi- @entity5 recurrence. These methods independently identify @entity3337 regions, and also point to @entity5 -associated genes like @entity817 . We anticipate RNA-seq analyses of @entity5 from forward genetic screens will become an efficient tool to identify causal events.
