Raw gene expression counts were obtained directly from STAR, and normalization and differential expression analysis were performed using DESeq2 version 1.30.1 [24 (link)]. Metascape software was used for gene ontology analysis [56 (link)]. We used unadjusted p-values for U2OS analysis as false discovery rate calculation has low power in datasets with small effect sizes (i.e. low fraction of changed genes in RNAseq) [22 (link)], and in our dataset Benjamini–Hochberg procedure resulted in over-represented p.adjusted values (Additional file
RNA-seq Data Analysis of Primate Cell Lines
Raw gene expression counts were obtained directly from STAR, and normalization and differential expression analysis were performed using DESeq2 version 1.30.1 [24 (link)]. Metascape software was used for gene ontology analysis [56 (link)]. We used unadjusted p-values for U2OS analysis as false discovery rate calculation has low power in datasets with small effect sizes (i.e. low fraction of changed genes in RNAseq) [22 (link)], and in our dataset Benjamini–Hochberg procedure resulted in over-represented p.adjusted values (Additional file
Corresponding Organization :
Other organizations : Montreal Neurological Institute and Hospital, McGill University, Institute for Research in Immunology and Cancer, Université de Montréal, Karolinska Institutet, Montreal Heart Institute
Variable analysis
- SiRNA transfection
- Gene expression counts
- Total RNA extraction using RNeasy Plus (QIAGEN)
- Bioanalyzer (Agilent Technologies) for quantity and quality determination
- Single read sequencing with NextSeq 500 (Illumina) using 75 cycles High Output kit v2
- Trimming of sequencing adapters and low quality 3' bases using Trimmomatic version 0.35
- Alignment to reference genomes (Chlorocebus sabaeus or Homo sapiens) using STAR version 2.7.1a
- Normalization and differential expression analysis using DESeq2 version 1.30.1
- Gene ontology analysis using Metascape software
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