GSE95057 Exploring the landscape of transcriptome 3 ’ end diversity (TREND) by applying TRENDseq

Conclusions: We analyzed the diversity of the transcriptome 3’end in response to depletion of 174 potential TREND regulators by RNAi. TRENDseq is capable to deconvolute the dynamics of TREND from highly multiplexed libraries. The screening revealed regulators of various l evels of gene expression control (e.g. transcription, splicing, mRNA turnover, etc.) to play an important role in the diversification of the transcriptome 3’ end, affecting over 3600 genes altogether. Data types: 1 – 198 siRNA depletion experiments including 174 knockdowns of putative TREND r egulators and 24 mock control samples. 2 – Biological replicates of top TREND regulators depletion and TRENDseq with and without PCF11 co-depletion 3 – Additional independent replicates of PCF11 knockdown 4 – BE(2)-C 3’READS upon differentiation
Source: GEO: Gene Expression Omnibus - Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Other Homo sapiens Source Type: research