PLX099409

GSE117627: Intrahepatic MAIT cell gene expression revealed by RNA-seq

• Organsim human
• Type RNASEQ
• Target gene
• Project ARCHS4

RNA-seq was carried out as described by Simone Picelli et al. with minor modifications (Genome Res 2014;24:2033-40). Briefly, RNA was extracted from 5000 cells using a miRNeasy Micro Kits (Qiagen, German). RNA quality was assessed with an Agilent RNA 6000 Pico Kit (Agilent Technologies, cat#5067-1513, USA) on an Agilent 2100 Bioanalyzer. Each library was prepared from 2ng of total RNA. After reverse transcription, cDNA was amplified for 8 cycles followed by Agencourt AMPure XP purification, the quality of cDNA library was checked on an Agilent High Sensitivity DNA Kit (Agilent Technologies, cat#5067-4626). The cDNA was sheared to a 200-500 bp size range using the Covaris AFA system. The final library was carried out by using the NEB Next ULTRA II DNA Prep Kit, and their quality and size were checked using the Agilent High Sensitivity DNA Kit. The libraries were sequenced using a Hiseq 4000 system (Illumina, USA). At least million reads were obtained for each sample. For all RNA-seq reads, we cut the 5 adaptor (AAGCAGTGGTATCAACGCAGAGTACAT GGG) using cutadapt (version 1.10) with the parameter e 0.17, and then aligned to the hg19 genome using OSA (version 2.10.8). The aligned data were merged and count by Samtools (version 0.1.19+), and differentially expressed genes were found based on the edgeR with default parameters (Bioinformatics 2010;26:139-40). A gene was differentially expressed if (1) p < 0.05 (2) |log2(fold change)| > 1. For hierarchical clustering, the RPKM values of differentially expressed genes were log2-transformed and standardized. 1- Pearson correlation was then used as the distance for clustering. Differentially expressed genes were selected for GO analysis using R package clusterProfiler (Omics 2012;16:284-7). SOURCE: MENG DUAN Zhongshan Hospital