RNA sequencing facilitates quantitative analysis of siRNA circHIPK2 transfected neural stem cells and siRNA circCon transfected neural stem cells transcriptomes

We report the application of Illumina paired-end RNA-seq approach for transcriptome of siRNA circHIPK2 transfected neural stem cells and siRNA circCon transfected neural stem cells . By removing sequence-dependent bias and amplification noise using UMI-tools. The mapped reads of each sample were assembled using StringTie. After the final transcriptome was generated, StringTie and edgeR was used to estimate the expression levels of all transcripts. By obtaining a total of million paired-end reads of sequence from neural stem cells , we generated transcriptome profiles of siRNA circHIPK2 transfected neural stem cells and siRNA circCon transfected neural stem cells , respectively. We found 201 differentially expressed genes (DEGs) between siRNA circHIPK2 transfected neural stem cells and siRNA circCon transfected neural stem cells. This study provides a detailed analysis of the underlying mechanisms of stroke,such as neuronal injury and long-term effect, generated by RNA-seq technology. Overall design: Transcriptome profiles of siRNA circHIPK2 transfected neural stem cells and siRNA circCon transfected neural stem cells, respectively, were generated by paired-end sequencing, in triplicate, using Illumina Novaseq 6000.