Fastq reads were mapped to the human genome (B37.3) and gene model GenCode (V19) with Omicsoft Aligner 4 (18 (link)). Gene count data was normalized by logGenometric mean values. Differential gene expression analysis was carried out using DeSeq2 General Linear Model test (RRID:SCR_015687; ref. 19 (link)). Gene set enrichment analysis (Subramanian) Pre-ranked tool (GSEAPreranked) was used to conduct the pathway and functional analysis on the differentially expressed genes.
Transcriptomic Profiling of CAR T-Cells
Fastq reads were mapped to the human genome (B37.3) and gene model GenCode (V19) with Omicsoft Aligner 4 (18 (link)). Gene count data was normalized by logGenometric mean values. Differential gene expression analysis was carried out using DeSeq2 General Linear Model test (RRID:SCR_015687; ref. 19 (link)). Gene set enrichment analysis (Subramanian) Pre-ranked tool (GSEAPreranked) was used to conduct the pathway and functional analysis on the differentially expressed genes.
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Corresponding Organization :
Other organizations : Autolus (United Kingdom), University College London
Variable analysis
- Presence or absence of 100,000 iU/mL of human IL2
- MRNA expression levels (quantified by RNA-sequencing)
- CD34 positive T cells from 3 individual donors
- Resting T cells for 24 hours in R10 media
- Seeding T cells at 1 × 10^6 cells/mL
- Replenishing rHuIL2 after 72 hours
- Lysing cells and extracting mRNA after 7 days
- Quantifying RNA using NanoDrop
- Assessing RNA quality using Agilent TapeStation
- Performing poly-A selection to remove ribosomal RNA
- Sequencing approximately 40 million paired-end reads (150 bp) on Illumina Hiseq for each sample
- Mapping fastq reads to human genome (B37.3) and GenCode (V19) using Omicsoft Aligner 4
- Normalizing gene count data by logGenometric mean values
- Conducting differential gene expression analysis using DeSeq2 General Linear Model test
- Performing gene set enrichment analysis using GSEAPreranked tool
- Not explicitly mentioned
- Not explicitly mentioned
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