Next Generation Sequencing Facilitates Quantitative Analysis of U87MG Cell Transcriptomes

Next-generation sequencing (NGS) has significantly advanced the elucidation of developmental signaling mechanisms that are important for U87MG cells under differente treatment. We report here the application of RNA-sequencing technology for transcriptome profile of U87MG cells treated with CAR neutrophils, nanodrugs, and CAR neutrophils loaded nanodrugs. Six U87MG samples were performed in IIIumina HiSeq2500. The resulting sequence reads were mapped to human genome (hg19) using HISAT, and the RefSeq transcript levels (RPKMs) were quantified using the python script rpkmforgenes.py. Our RNA-seq data analyzed different cellular signal pathways under treatment. This study shows a detailed analysis of U87MG transcriptomes generated by RNA-seq technology, providing insight into the mechanisms underlying CAR neutrophils lysis the tumor cells. Overall design: U87MG transcriptome profiles of different treatments were generated by RNA-seq technology using IIIumina NextSeq500