Dataset features

Specifications


Application: RNA-seq analysis
Number of samples: 9
Release date: Jul 20 2017
Last update date: Nov 28 2018
Access: Public
Diseases: Neuroblastoma
Chemicals: Oxygen
Dataset link O-glcnAc reprograms cellular energetics

Experimental Protocol


SY5Y cells were adapted to long term O-glcnAcase (OGA) inhibition using the specific OGA inhibitor Thiamet-G (tmg) or glucosamine treatment for 3 weeks. After adaptation to the growth conditions, cells were harvest and RNA isolated for Next Generation RNA sequencing. Briefly, cDNA library was prepared using Illumina TruSeq Stranded mRNA sample preparation kit (Illumina) as manufacturer’s instruction. Total RNA was isolated using the same method as previously described and 800 ng of the total RNA per reaction was used to initiate the protocol. The quality of RNA sequencing results was first assessed using FastQC (0.11.2). RSEM (1.2.22) was utilized to align the reads to the human reference genome HG38 and to calculate gene expression values. EdgeR (3.14.0) was then used to normalize the expression values using the TMM-method (weighted trimmed mean of M-values), and for differential expression analyses. First, the negative binomial conditional common likelihood was maximized to estimate a common dispersion value across all genes (estimateCommonDisp). Next, tagwise dispersion values were estimated by an empirical Bayes method based on weighted conditional maximum likelihood (estimateTagwiseDisp). Finally, the differentially gene expression was calculated by computing genewise exact tests for differences in the means between two groups of negative-binomially distributed counts. Hierarchical clustering analysis was determined using Euclidean distance. The following R-packages were utilized for calculations and visualizations: plots and edgeR.

Repositories


GEO

GSE101642

ENA

SRP112902

BioProject

PRJNA395053

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Contact


Stefan Graw